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Your may not realize it, but your InterSystems Login Account can be used to access a very wide array of InterSystems services to help you learn and use InterSystems IRIS and other InterSystems technologies more effectively. Continue reading to learn more about how to unlock new technical knowledge and tools using your InterSystems Login account. Also - after reading, please participate in the Poll at the bottom, so we can see how this article was useful to you! What is an InterSystems Login Account? An InterSystems Login account is used to access various online services which serve InterSystems prospects, partners, and customers. It is a single set of credentials used across 15+ externally facing applications. Some applications (like the WRC, or iService) require specific activation for access to be granted by the account. Chances are there is are resources which will help you but you didn't know about - make sure to read about all of the options and try out a new tool to help up your technical game!! Application Catalog You can view all services available to you with your InterSystems Login account by visiting that InterSystems Application Catalog, located at: https://Login.InterSystems.com. This will list only those applications or services to which you currently have access. It remembers your most frequently used applications and lists them at the top for your convenience. Make sure to Bookmark the page for easy access to all of these tools in your InterSystems Login Account toolbox! Application Details Now it's time to get into the details of the individual applications and how they can help you as a developer working with InterSystems technologies! Read on and try to find a new application to leverage for the first time in order to improve your efficiency and skills as a developer.... Getting Started - gettingstarted.intersystems.com Audience Anyone wishing to explore using InterSystems IRIS® data platform Description Learn how to build data-intensive, mission-critical applications fast with InterSystems IRIS. Work through videos and tutorials leveraging SQL, Java, C#/.Net, Node.js, Python, or InterSystems ObjectScript. Use a free, cloud-based, in-browser Sandbox -- IRIS+IDE+Web Terminal—to work through tutorials. How it helps Up Your Technical Game Quickly get oriented with InterSystems technology and see it in action with real working code and examples! Explore the use of other popular programming languages with InterSystems IRIS. Online Learning - learning.intersystems.com Audience All users and potential users of InterSystems products Description Self-paced materials to help you build and support the world's most important applications: Hands-on exercises Videos Online Courses Learning Paths How it helps Up Your Technical Game Learn, learn, learn!! Nothing will help you become a more effective developer faster than following a skilled technical trainer as they walk you through new concepts to use in your InterSystems IRIS projects! Documentation - docs.intersystems.com Audience All users and potential users of InterSystems products Description Documentation for all versions of our products Links where needed to external documentation All recent content, is fed through our new search engine. Search page lets you filter by product, version, and other facets. Certain docs require authorization (via InterSystems Login account): AtScale docs available to Adaptive Analytics customers HealthShare docs are available to HealthShare users Make sure to make use of the new dynamic Upgrade Impact Checklist within the Docs server! How it helps Up Your Technical Game Quickly make use of class reference material and API documentation. Find example code. Read detailed usage documentation for parts of InterSystems IRIS into which you need a deeper dive. Request additional detail or report issues direct from within the documentation pages via the "Feedback" feature. Evaluation - evaluation.intersystems.com Audience Those wishing to download InterSystems software or licenses for evaluation or development use Description Downloads of InterSystems IRIS and InterSystems IRIS for Health. Anybody can download Community Edition kits. Existing customers can also request a powerful license to evaluate enterprise features. Preview versions are available pre-release. Early Access Program packages allow people to provide feedback on future products and features. How it helps Up Your Technical Game Try out Preview versions of software to see how new features can help to accelerate your development. Test run Enterprise features by requesting an evaluation license. Make sure all developers in your organization have the latest version of InterSystems IRIS installed on their machines. Provide feedback to InterSystems Product Management about Early Access Features to ensure that they will meet your team's needs once they are fully released. Developer Community - community.intersystems.com Audience Anyone working with InterSystems technology (InterSystems employees, customers, partners, and prospects) Description Monitor announcements related to InterSystems products and services. Find articles on a variety of technical topics. Ask questions and get answers from the community. Explore job postings or developers available for hire. Participate in competitions featuring $1000’s in cash prizes. Stay up to date concerning all things InterSystems! How it helps Up Your Technical Game With access to the leading global experts on InterSystems technology, you can learn from the best and stay engaged with the hottest questions, trends and topics. Automatically get updates in your inbox on new products, releases, and Early Access Program opportunities. Get help from peers to answer your questions and move past blockers. Have enriching discussions with InterSystems Product Managers and Product Developers - learn from the source! Push your skills to the next level by sharing technical solutions and sharing code and gaining from feedback from others. InterSystems Ideas - ideas.intersystems.com Audience Those looking to share ideas for improving InterSystems technology. Description Post ideas on how to make InterSystems technology better. Read existing reviews and up-vote or engage in discussions. InterSystems will take the most popular ideas into account for future product roadmaps. How it helps Up Your Technical Game See your ideas and needs turned into a reality within InterSystems products or open source libraries. Become familiar with the ideas of your peers and learn to use InterSystems products in new ways. Implement ideas suggested by others, new exploring parts of InterSystems technology. Global Masters - globalmasters.intersystems.com Audience Those wishing to advocate for InterSystems technology and earn badges and swag Description Gamification platform designed for developers to learn, stay up-to-date and get recognition for contributions via interactive content. Users receive points and badges for: Engagement on the Developer Community Engagement on the Open Exchange Publishing posts to social media about InterSystems products and technologies Trade in points for InterSystems swag or free training How it helps Up Your Technical Game Challenges bring to your attention articles or videos which you may have missed on the Developer Community, Learning site or YouTube channel - constantly learning new things to apply to your projects! Open Exchange - openexchange.intersystems.com Audience Developers seeking to publish or make use of reusable software packages and tools Description Developer tools and packages built with InterSystems data platforms and products. Packages are published under a variety of software licenses (mostly open source). Integrated with GitHub for package versioning, discussions, and bug tracking. Read and submit reviews and find the most popular packages. Developers can submit issues and make improvements to packages via GitHub pull requests to help push community software forward. Developers can see statistics of traffic and downloads of the packages they published How it helps Up Your Technical Game Don't reinvent the wheel! Use open source packages created and maintained by the InterSystems Community to solve generic problems, leaving you to focus on developing solutions needed specifically by your business. Contributing to open source packages is a great way to receive constructive feedback on your work and refine your development patterns. Becoming a respected contributor to open source projects is a great way to see demand increase for your skills and insights. WRC - wrc.intersystems.com Audience Issue tracking system for all customer reported problems on InterSystems IRIS and InterSystems HealthShare. Customers with SUTA can work directly with the application. Description Worldwide Response Center application (aka “WRC Direct”). Issue tracking system for all customer reported problems. Open new requests. See all investigative actions and add information and comments about a request. See statistical information about your support call history. Close requests and provide feedback about the support process. Review ad-hoc patch files. Monitor software change requests. Download current product and client software releases. How it helps Up Your Technical Game InterSystems Support Engineers can help you get past any technical blocker you have concerning development or systems management with InterSystems products. Report bugs to ensure that issues are fixed in future releases. iService - iservice.intersystems.com Audience Customers requiring support under an SLA agreement Description A support ticketing platform for our healthcare, cloud and hosted customers. Allows for rule driven service-level agreement (SLA) compliance calculation and reporting. Provides advanced facet search and export functionality. Incorporates a full Clinical Safety management system. How it helps Up Your Technical Game InterSystems Support Engineers can help you get past any technical blocker you have concerning development or systems management with InterSystems healthcare or cloud products. Report bugs to ensure that issues are fixed in future releases. ICR - containers.intersystems.com Audience Anyone who wants to use InterSystems containers Description InterSystems Container Registry A programmatically accessible container registry and web UI for browsing. Community Edition containers available to everyone. Commercial versions of InterSystems IRIS and InterSystems IRIS for Health available for supported customers. Generate tokens to use in CICD pipelines for automatically fetching containers. How it helps Up Your Technical Game Increase the maturity of your SDLC by moving to container-based CICD pipelines for your development, testing and deployment! Partner Directory - partner.intersystems.com Audience Those looking to find an InterSystems partner or partner’s product Partners looking to advertise their software and services Description Search for all types of InterSystems partners: Implementation Partners Solution Partners Technology Partners Cloud Partner Existing partners can manage their service and software listings. How it helps Up Your Technical Game Bring in certified experts on a contract basis to learn from them on your projects. License enterprise solutions based on InterSystems technology so you don't have to build everything from scratch. Bring your products and services to a wider audience, increasing demand and requiring you to increase your ability to deliver! CCR - ccr.intersystems.com Audience Select organizations managing changes made to an InterSystems implementation (employees, partners and end users) Description Change Control Record Custom workflow application built on our own technology to track all customizations to InterSystems healthcare products installed around the world. Versioning and deployment of onsite custom code and configuration changes. Multiple Tiers and workflow configuration options. Very adaptable to meet the specific needs of the phase of the project How it helps Up Your Technical Game For teams authorized for its use, find and reuse code or implementation plans within your organization, preventing having to solve the same problem multiple times. Resolve issues in production much more quickly, leaving more time for development work. Client Connection - client.intersystems.com Audience Available to any TrakCare clients Description InterSystems Client Connection is a collaboration and knowledge-sharing platform for TrakCare clients. Online community for TrakCare clients to build more, better, closer connections. On Client Connection you will find the following: TrakCare news and events TrakCare release materials, e.g. release documentation and preview videos Access to the most up-to-date product guides. Support materials to grow personal knowledge. Discussion forums to leverage peer expertise. How it helps Up Your Technical Game Technical and Application Specialists at TrakCare sites can share questions and knowledge quickly - connecting with other users worldwide. Faster answers means more time to build solutions! Online Ordering - store.intersystems.com Audience Operations users at selected Application partners/end-users Description Allow customers to pick different products according to their contracts and create new orders. Allow customers to upgrade/trade-in existing orders. Submit orders to InterSystems Customer Operations to process them for delivery and invoicing. Allow customers to migrate existing licenses to InterSystems IRIS. How it helps Up Your Technical Game Honestly, it doesn't! It's a tool used by operations personnel and not technical users, but it is listed here for completeness since access is controlled via the InterSystems Login Account ;) Other Things to Know About your InterSystems Login Account Here are a few more useful facts about InterSystems Login Accounts... How to Create a Login Account Users can make their own account by clicking "Create Account" on any InterSystems public-facing application, including: https://evaluation.intersystems.com https://community.intersystems.com https://learning.intersystems.com Alternatively, the InterSystems FRC (First Response Center) will create a Login Account for supported customers the first time they need to access the Worldwide Response Center (WRC) or iService (or supported customers can also create accounts for their colleagues). Before using an account, a user must accept the Terms and Conditions, either during the self-registration process or the first time they log in. Alternative Login Options Certain applications allow login with Google or GitHub: Developer Community Open Exchange Global Masters This is the same InterSystems Login Account, but with authentication by Google or GitHub. Account Profile If you go to https://Login.InterSystems.com and authenticate, you will be able to access Options > Profile and make basic changes to your account. Email can be changed via Options > Change Email. Resolving Login Account Issues Issues with InterSystems Login Accounts should be directed to Support@InterSystems.com. Please include: Username used for attempted login Email Browser type and version Specific error messages and/or screenshots Time and date the error was received Please remember to vote in the poll once you read the article! Feel free to ask questions here about apps that may be new to you. Best part for me is having one spot instead of trying to remember the links to all the pieces. Thanks @Mindy.Caldwell - that is the goal! Glad you find it to be useful :) 💡 This article is considered as InterSystems Data Platform Best Practice.

Hi Developers! Here are the technology bonuses for the InterSystems FHIR and Digital Health Interoperability Contest 2025 that will give you extra points in the voting: InterSystems FHIR usage - 3 Digital Health Interoperability - 4 Vector Search - 3 LLM AI or LangChain usage: Chat GPT, Gemini and others - 3 Embedded Python - 2 Docker container usage - 2 IPM Package deployment - 2 Online Demo - 2 Implement InterSystems Community Idea - 4 Find a bug in InterSystems FHIR server - 2 Find a bug in InterSystems Interoperability - 2 New First Article on Developer Community - 2 New Second Article on Developer Community - 1 First Time Contribution - 3 Video on YouTube - 3 See the details below. InterSystems FHIR usage - 3 points Implement InterSystems FHIR server in your application either as a standalone cloud FHIR server or as a component of InterSystems IRIS for Health and collect 3 bonus points! Digital Health Interoperability - 4 points Collect 4 bonus points if your application is a healthcare interoperability solution that uses InterSystems Interoperability to transfer or/and transform healthcare data via messages or it uses healthcare format data transformation. Here are a couple of examples: one, two, three. Vector Search - 3 points Starting from the 2024.1 release, InterSystems IRIS contains a new technology vector search that allows building vectors over InterSystems IRIS data and performing a search of already indexed vectors. Use it in your solution and collect 3 bonus points. Here is the demo project that leverages it. LLM AI or LangChain usage: Chat GPT, Bard, and others - 2 points Collect 3 bonus expert points for building a solution that uses LangChain libs or Large Language Models (LLM) such as ChatGPT, Bard and other AI engines like PaLM, LLaMA, and more. AutoGPT usage count,s too. A few examples already could be found in Open Exchange: iris-openai, chatGPT telegram bot, rag-demo. Here is an article with langchain usage example. Embedded Python - 2 points Use Embedded Python in your application and collect 2 extra points. Base template, example application with Interoperability. Docker container usage - 2 points The application gets a 'Docker container' bonus if it uses InterSystems IRIS running in a docker container. Here is the simplest template to start from. ZPM Package deployment - 2 points You can collect the bonus if you build and publish the ZPM(InterSystems Package Manager) package for your Full-Stack application so it could be deployed with: zpm "install your-multi-model-solution" command on IRIS with ZPM client installed. ZPM client. Documentation. Online Demo of your project - 2 pointsCollect 2 more bonus points if you provision your project to the cloud as an online demo at any public hosting. Implement Community Opportunity Idea - 4 points Implement any idea from the InterSystems Community Ideas portal which has the "Community Opportunity" status. This will give you 4 additional bonus points. Find a bug in InterSystems Digital Health Interoperability - 2 pointsWe want the broader adoption of InterSystems Interoperability engine so we encourage you to report the bugs you will face during the development of your interoperability application with IRIS in order to fix it. Please submit the bug here in a form of issue and how to reproduce it. You can collect 2 bonus points for the first reproducible bug. Find a bug in InterSystems FHIR Server - 2 pointsWe want the broader adoption of InterSystems FHIR, so we encourage you to report the bugs you will face during the development of your FHIR application in order to fix them. Please submit the bug here in a form of an issue and how to reproduce it. You can collect 2 bonus points for the first reproducible bug. New First Article on Developer Community - 2 points Write a brand new article on Developer Community that describes the features of your project and how to work with it. Collect 2 points for the article. New Second Article on Developer Community - 1 point You can collect one more bonus point for the second new article or the translation regarding the application. The 3rd and more will not bring more points but the attention will all be yours. First-Time Contribution - 3 points Collect 3 bonus points if you participate in InterSystems Open Exchange contests for the first time! Video on YouTube - 3 points Make new YouTube videos that demonstrate your product in action and collect 3 bonus points for each. The list of bonuses is subject to change. Stay tuned! Good luck in the competition!

The Amazon Web Services (AWS) Cloud provides a broad set of infrastructure services, such as compute resources, storage options, and networking that are delivered as a utility: on-demand, available in seconds, with pay-as-you-go pricing. New services can be provisioned quickly, without upfront capital expense. This allows enterprises, start-ups, small and medium-sized businesses, and customers in the public sector to access the building blocks they need to respond quickly to changing business requirements. Updated: 10-Jan, 2023 The following overview and details are provided by Amazon and can be found here. Overview AWS Global Infrastructure The AWS Cloud infrastructure is built around Regions and Availability Zones (AZs). A Region is a physical location in the world where we have multiple AZs. AZs consist of one or more discrete data centers, each with redundant power, networking, and connectivity, housed in separate facilities. These AZs offer you the ability to operate production applications and databases that are more highly available, fault tolerant, and scalable than would be possible from a single data center. Details of AWS Global Infrastructure can be found here. AWS Security and Compliance Security in the cloud is much like security in your on-premises data centers—only without the costs of maintaining facilities and hardware. In the cloud, you don’t have to manage physical servers or storage devices. Instead, you use software-based security tools to monitor and protect the flow of information into and of out of your cloud resources. The AWS Cloud enables a shared responsibility model. While AWS manages security of the cloud, you are responsible for security in the cloud. This means that you retain control of the security you choose to implement to protect your own content, platform, applications, systems, and networks no differently than you would in an on-site data center. Details of AWS Cloud Security can be found here. The IT infrastructure that AWS provides to its customers is designed and managed in alignment with best security practices and a variety of IT security standards. A complete list of assurance programs with which AWS complies with can be found here. AWS Cloud Platform AWS consists of many cloud services that you can use in combinations tailored to your business or organizational needs. The following sub-section introduces the major AWS services by category that are commonly used with InterSystems IRIS deployments. There are many other services available and potentially useful for your specific application. Be sure to research those as needed. To access the services, you can use the AWS Management Console, the Command Line Interface, or Software Development Kits (SDKs). AWS Cloud Platform Component Details AWS Management Console Details of the AWS Management Console can be found here. AWS Command-line interface Details of the AWS Command Line Interface (CLI) can be found here. AWS Software Development Kits (SDK) Details of AWS Software Development Kits (SDK) can be found here. AWS Compute There are numerous options available: Details of Amazon Elastic Cloud Computing (EC2) can be found here Details of Amazon EC2 Container Service (ECS) can be found here Details of Amazon EC2 Container Registry (ECR) can be found here Details of Amazon Auto Scaling can be found here AWS Storage There are numerous options available: Details of Amazon Elastic Block Store (EBS) can be found here Details of Amazon Simple Storage Service (S3) can be found here Details of Amazon Elastic File System (EFS) can be found here AWS Networking There are numerous options available. Details of Amazon Virtual Private Cloud (VPC) can be found here Details of Amazon Elastic IP Addresses can be found here Details of Amazon Elastic Network Interfaces can be found here Details of Amazon Enhanced Networking for Linux can be found here Details of Amazon Elastic Load Balancing (ELB) can be found here Details of Amazon Route 53 can be found here InterSystems IRIS Sample Architectures As part of this article, sample InterSystems IRIS deployments for AWS are provided as a starting point for your application specific deployment. These can be used as a guideline for numerous deployment possibilities. This reference architecture demonstrates highly robust deployment options starting with the smallest deployments to massively scalable workloads for both compute and data requirements. High availability and disaster recovery options are covered in this document along with other recommended system operations. It is expected these will be modified by the individual to support their organization’s standard practices and security policies. InterSystems is available for further discussions or questions of AWS-based InterSystems IRIS deployments for your specific application. Sample Reference Architectures The following sample architectures will provide several different configurations with increasing capacity and capabilities. Consider these examples of small development / production / large production / production with sharded cluster that show the progression from starting with a small modest configuration for development efforts and then growing to massively scalable solutions with proper high availability across zones and multi-region disaster recovery. In addition, an example architecture of using the new sharding capabilities of InterSystems IRIS Data Platform for hybrid workloads with massively parallel SQL query processing. Small Development Configuration In this example, a minimal configuration is used to illustrates a small development environment capable of supporting up to 10 developers and 100GB of data. More developers and stored data can easily be supported by simply changing the virtual machine instance type and increasing storage of the EBS volume(s) as appropriate. This is adequate to support development efforts and become familiar with InterSystems IRIS functionality along with Docker container building and orchestration if desired. High availability with database mirroring is typically not used with a small configuration, however it can be added at any time if high availability is needed. Small Configuration Sample Diagram The below sample diagram in Figure 2.1.1-a illustrates the table of resources in Figure 2.1.1-b. The gateways included are just examples, and can be adjusted accordingly to suit your organization’s standard network practices. Figure-2.1.1-a: Sample Small Development Architecture The following resources within the AWS VPC are provisioned as a minimum small configuration. AWS resources can be added or removed as required. Small Configuration AWS Resources Sample of Small Configuration AWS resources is provided below in the following table. Proper network security and firewall rules need to be considered to prevent unwanted access into the VPC. Amazon provides network security best practices for getting started which can be found here: https://docs.aws.amazon.com/vpc/index.html#lang/en_us https://docs.aws.amazon.com/quickstart/latest/vpc/architecture.html#best-practices Note: VM instances require a public IP address to reach AWS services. While this practice might raise some concerns, AWS recommends limiting the incoming traffic to these VM instances by using firewall rules. If your security policy requires truly internal VM instances, you will need to set up a NAT proxy manually on your network and a corresponding route so that the internal instances can reach the Internet. It is important to note that you cannot connect to a fully internal VM instance directly by using SSH. To connect to such internal machines, you must set up a bastion instance that has an external IP address and then tunnel through it. A bastion Host can be provisioned to provide the external facing point of entry into your VPC. Details of using a bastion hosts can he found here: https://aws.amazon.com/blogs/security/controlling-network-access-to-ec2-instances-using-a-bastion-server/ https://docs.aws.amazon.com/quickstart/latest/linux-bastion/architecture.html Production Configuration In this example, a more sizable configuration as an example production configuration that incorporates InterSystems IRIS database mirroring capability to support high availability and disaster recovery. Included in this configuration is a synchronous mirror pair of InterSystems IRIS database servers split between two availability zones within region-1 for automatic failover, and a third DR asynchronous mirror member in region-2 for disaster recovery in the unlikely event an entire AWS region is offline. Details of a multiple Region with Multi-VPC Connectivity can be found here. The InterSystems Arbiter and ICM server deployed in a separate third zone for added resiliency. The sample architecture also includes a set of optional load balanced web servers to support a web-enabled application. These web servers with the InterSystems Gateway can be scaled independently as needed. Production Configuration Sample Diagram The sample diagram in Figure 2.2.1-a illustrates the table of resources in Figure 2.2.1-b. The gateways included are just examples, and can be adjusted accordingly to suit your organization’s standard network practices. Figure 2.2.1-a: Sample Production Architecture with High Availability and Disaster Recovery The following resources within the AWS VPC are recommended as a minimum to support a production workload for a web application. AWS resources can be added or removed as required. Production Configuration AWS Resources Sample of Production Configuration AWS resources is provided below in the following table. Large Production Configuration In this example, a massively scaled configuration is provided by expanding on the InterSystems IRIS capability to also introduce application servers using InterSystems’ Enterprise Cache Protocol (ECP) to provide massive horizontal scaling of users. An even higher level of availability is included in this example because of ECP clients preserving session details even in the event of a database instance failover. Multiple AWS availability zones are used with both ECP-based application servers and database mirror members deployed in multiple regions. This configuration is capable of supporting tens of millions database accesses per second and multiple terabytes of data. Production Configuration Sample Diagram The sample diagram in Figure 2.3.1-a illustrates the table of resources in Figure 2.3.1-b. The gateways included are just examples, and can be adjusted accordingly to suit your organization’s standard network practices. Included in this configuration is a failover mirror pair, four or more ECP clients (application servers), and one or more web servers per application server. The failover database mirror pairs are split between two different AWS availability zones in the same region for fault domain protection with the InterSystems Arbiter and ICM server deployed in a separate third zone for added resiliency. Disaster recovery extends to a second AWS region and availability zone(s) similar to the earlier example. Multiple DR regions can be used with multiple DR Async mirror member targets if desired. Figure 2.3.1-a: Sample Large Production Architecture with ECP Application Servers The following resources within the AWS VPC Project are recommended as a minimum recommendation to support a sharded cluster. AWS resources can be added or removed as required. Large Production Configuration AWS Resources Sample of Large Production Configuration AWS resources is provided below in the following table. Production Configuration with InterSystems IRIS Sharded Cluster In this example, a horizontally scaled configuration for hybrid workloads with SQL is provided by including the new sharded cluster capabilities of InterSystems IRIS to provide massive horizontal scaling of SQL queries and tables across multiple systems. Details of InterSystems IRIS sharded cluster and its capabilities are discussed further in section 9 of this article. Production with Sharded Cluster Configuration Sample Diagram The sample diagram in Figure 2.4.1-a illustrates the table of resources in Figure 2.4.1-b. The gateways included are just examples, and can be adjusted accordingly to suit your organization’s standard network practices. Included in this configuration are four mirror pairs as the data nodes. Each of the failover database mirror pairs are split between two different AWS availability zones in the same region for fault domain protection with the InterSystems Arbiter and ICM server deployed in a separate third zone for added resiliency. This configuration allows for all the database access methods to be available from any data node in the cluster. The large SQL table(s) data is physically partitioned across all data nodes to allow for massive parallelization of both query processing and data volume. Combining all these capabilities provides the ability to support complex hybrid workloads such as large-scale analytical SQL querying with concurrent ingestion of new data, all within a single InterSystems IRIS Data Platform. Figure 2.4.1-a: Sample Production Configuration with Sharded Cluster with High Availability Note that in the above diagram and the “resource type” column in the table below, the term “EC2” is an AWS term representing an AWS virtual server instance as described further in section 3.1 of this document. It does not represent or imply the use of “compute nodes” in the cluster architecture described in chapter 9. The following resources within the AWS VPC are recommended as a minimum recommendation to support a sharded cluster. AWS resources can be added or removed as required. Production with Sharded Cluster Configuration AWS Resources Sample of Production with Sharded Cluster Configuration AWS resources is provided below in the following table. Introduction to Cloud Concepts Amazon Web Services (AWS) provides a feature rich cloud environment for Infrastructure-as-a-Service (IaaS) fully capable of supporting all of InterSystems products including support for container-based DevOps with the new InterSystems IRIS Data Platform. Care must be taken, as with any platform or deployment model, to ensure all aspects of an environment are considered such as performance, availability, system operations, high availability, disaster recovery, security controls, and other management procedures. This article will cover the three major components of all cloud deployments: Compute, Storage, and Networking. Compute Engines (Virtual Machines) Within AWS EC2 there are several options available for compute engine resources with numerous virtual CPU and memory specifications and associated storage options. One item to note within AWS EC2, references to the number of vCPUs in a given machine type equates to one vCPU is one hyper-thread on the physical host at the hypervisor layer. For the purposes of this document m5* and r5* EC2 instance types will be used and are most widely available in most AWS deployment regions. However, the use of other specialized instance types such as: x1* with very large memory are great options for very large working datasets keeping massive amounts of data cached in memory, or i3* with NVMe local instance storage. Details of the AWS Service Level Agreement (SLA) can be found here. Disk Storage The storage type most directly related to InterSystems products are the persistent disk types, however local storage may be used for high levels of performance if data availability restrictions are understood and accommodated. There are several other options such as S3 (buckets) and Elastic File Store (EFS), however those are more specific to an individual application’s requirements rather than supporting the operation of InterSystems IRIS Data Platform. Like most other cloud providers, AWS imposes limitations on the amount of persistent storage that can be associated to an individual compute engine. These limits include the maximum size of each disk, the number of persistent disks attached to each compute engine, and the amount of IOPS per persistent disk with an overall individual compute engine instance IOPS cap. In addition, there are imposed IOPS limits per GB of disk space, so at times provisioning more disk capacity is required to achieve desired IOPS rate. These limits may change over time and to be confirmed with AWS as appropriate. There are three types of persistent storage types for disk volumes: EBS gp2 (SSD), EBS st1 (HDD), and EBS io1 (SSD). The standard EBS gp2 disks are more suited for production workloads that require predictable low-latency IOPS and higher throughput. Standard Persistent disks are more an economical option for non-production development and test or archive type workloads. Details of the various disk types and limitations can be found here. VPC Networking The virtual private cloud (VPC) network is highly recommended to support the various components of InterSystems IRIS Data Platform along with providing proper network security controls, various gateways, routing, internal IP address assignments, network interface isolation, and access controls. An example VPC will be detailed in the examples provided within this document. Details of VPC networking and firewalls can be found here. Virtual Private Cloud (VPC) Overview Details of AWS VPC are provided here. In most large cloud deployments, multiple VPCs are provisioned to isolate the various gateways types from application-centric VPCs and leverage VPC peering for inbound and outbound communications. It is highly recommended to consult with your network administrator for details on allowable subnets and any organizational firewall rules of your company. VPC peering is not covered in this document. In the examples provided in this document, a single VPC with three subnets will be used to provide network isolation of the various components for predictable latency and bandwidth and security isolation of the various InterSystems IRIS components. Network Gateway and Subnet Definitions Two gateways are provided in the example in this document to support both Internet and secure VPN connectivity. Each ingress access is required to have appropriate firewall and routing rules to provide adequate security for the application. Details on how to use VPC Route Tables can be found here. Three subnets are used in the provided example architectures dedicated for use with InterSystems IRIS Data Platform. The use of these separate network subnets and network interfaces allows for flexibility in security controls and bandwidth protection and monitoring for each of the three above major components. Details for creating virtual machine instances with multiple network interfaces can be found here. The subnets included in these examples: User Space Network for Inbound connected users and queries Shard Network for Inter-shard communications between the shard nodes Mirroring Network for high availability using synchronous replication and automatic failover of individual data nodes. Note: Failover synchronous database mirroring is only recommended between multiple zones which have low latency interconnects within a single AWS region. Latency between regions is typically too high for to provide a positive user experience especially for deployment with a high rate of updates. Internal Load Balancers Most IaaS cloud providers lack the ability to provide for a Virtual IP (VIP) address that is typically used in automatic database failover designs. To address this, several of the most commonly used connectivity methods, specifically ECP clients and Web Gateways, are enhanced within InterSystems IRIS to no longer rely on VIP capabilities making them mirror-aware and automatic. Connectivity methods such as xDBC, direct TCP/IP sockets, or other direct connect protocols, require the use of a VIP-like address. To support those inbound protocols, InterSystems database mirroring technology makes it possible to provide automatic failover for those connectivity methods within AWS using a health check status page called mirror_status.cxw to interact with the load balancer to achieve VIP-like functionality of the load balancer only directing traffic to the active primary mirror member, thus providing a complete and robust high availability design within AWS. Details of AWS Elastic Load Balancer (ELB) can be found here. Figure 4.2-a: Automatic Failover without a Virtual IP Address Details of using a load balancer to provide VIP-like functionality is provided here. // Update 2023-01-10: There is a new recommended VIP model for AWS that is more robust and alleviates the need for a load balancer to provide VIP-like capabilities. Details can be found here. Sample VPC Topology Combining all the components together, the following illustration in Figure 4.3-a demonstrates the layout of a VPC with the following characteristics: Leverages multiple zones within a region for high availability Provides two regions for disaster recovery Utilizes multiple subnets for network segregation Includes separate gateways for VPC Peering, Internet, and VPN connectivity Uses cloud load balancer for IP failover for mirror members Please note in AWS each subnet must reside entirely within one availability zone and cannot span zones. So, in the example below, network security or routing rules need to be properly defined. Details on AWS VPC subnets can be found here. Figure 4.3-a: Example VPC Network Topology Persistent Storage Overview As discussed in the introduction, the use of AWS Elastic Block Store (EBS) Volumes is recommended and specifically EBS gp2 or the latest gp3 volume types. EBS gp3 volumes are recommended due to the higher read and write IOPS rates and low latency required for transactional and analytical database workloads. Local SSDs may be used in certain circumstances, however beware that the performance gains of local SSDs comes with certain trade-offs in availability, durability, and flexibility. Details of Local SSD data persistence can be found here to understand the events of when Local SSD data is preserved and when not. LVM PE Striping Like other cloud providers, AWS imposes numerous limits on storage both in IOPS, space capacity, and number of devices per virtual machine instance. Consult AWS documentation for current limits which can be found here. With these limits, LVM striping becomes necessary to maximize IOPS beyond that of a single disk device for a database instance. In the example virtual machine instances provided, the following disk layouts are recommended. Performance limits associated with SSD persistent disks can be found here. Note: There is currently a maximum of 40 EBS volumes per Linux EC2 instance although AWS resource capabilities change often so please consult with AWS documentation for current limitations. Figure 5.1-a: Example LVM Volume Group Allocation The benefits of LVM striping allows for spreading out random IO workloads to more disk devices and inherit disk queues. Below is an example of how to use LVM striping with Linux for the database volume group. This example will use four disks in an LVM PE stripe with a physical extent (PE) size of 4MB. Alternatively, larger PE sizes can be used if needed. Step 1: Create Standard or SSD Persistent Disks as needed Step 2: IO scheduler is NOOP for each of the disk devices using “lsblk -do NAME,SCHED” Step 3: Identify disk devices using “lsblk -do KNAME,TYPE,SIZE,MODEL” Step 4: Create Volume Group with new disk devices vgcreate s 4M <vg name> <list of all disks just created> example: vgcreate -s 4M vg_iris_db /dev/sd[h-k] Step 4: Create Logical Volume lvcreate n <lv name> -L <size of LV> -i <number of disks in volume group> -I 4MB <vg name> example: lvcreate -n lv_irisdb01 -L 1000G -i 4 -I 4M vg_iris_db Step 5: Create File System mkfs.xfs K <logical volume device> example: mkfs.xfs -K /dev/vg_iris_db/lv_irisdb01 Step 6: Mount File System edit /etc/fstab with following mount entries /dev/mapper/vg_iris_db-lv_irisdb01 /vol-iris/db xfs defaults 0 0 mount /vol-iris/db Using the above table, each of the InterSystems IRIS servers will have the following configuration with two disks for SYS, four disks for DB, two disks for primary journals and two disks for alternate journals. Figure 5.1-b: InterSystems IRIS LVM Configuration For growth LVM allows for expanding devices and logical volumes when needed without interruption. Consult with Linux documentation on best practices for ongoing management and expansion of LVM volumes. Note: The enablement of asynchronous IO for both the database and the write image journal files are highly recommend. See the community article for details on enabling on Linux. Provisioning New with InterSystems IRIS is InterSystems Cloud Manager (ICM). ICM carries out many tasks and offers many options for provisioning InterSystems IRIS Data Platform. ICM is provided as a Docker image that includes everything for provisioning a robust AWS cloud-based solution. ICM currently support provisioning on the following platforms: Amazon Web Services including GovCloud (AWS / GovCloud) Google Cloud Platform (GCP) Microsoft Azure Resource Manager including Government (ARM / MAG) VMware vSphere (ESXi) ICM and Docker can run from either a desktop/laptop workstation or have a centralized dedicated modest “provisioning” server and centralized repository. The role of ICM in the application lifecycle is Define -> Provision -> Deploy -> Manage Details for installing and using ICM with Docker can be found here. NOTE: The use of ICM is not required for any cloud deployment. The traditional method of installation and deployment with tar-ball distributions is fully supported and available. However, ICM is recommended for ease of provisioning and management in cloud deployments. Container Monitoring ICM includes two basic monitoring facilities for container-based deployments: Rancherand Weave Scope. Neither are deployed by default, and need to be specified in the defaults file using the Monitorfield. Details for monitoring, orchestration, and scheduling with ICM can be found here. An overview of Rancher and documentation can be found here. An overview of Weave Scope and documentation can be found here. High Availability InterSystems database mirroring provides the highest level of availability in any cloud environment. AWS does not provide any availability guarantees for a single EC2 instance, so database mirroring is required database tier which can also be coupled with load balancing and auto-scale groups. Earlier sections discussed how a cloud load balancer will provide automatic IP address failover for a Virtual IP (VIP-like) capability with database mirroring. The cloud load balancer uses the mirror_status.cxwhealth check status page mentioned earlier in the Internal Load Balancerssection. There are two modes of database mirroring - synchronous with automatic failover and asynchronous mirroring. In this example, synchronous failover mirroring will be covered. The details of mirroring can he found here. The most basic mirroring configuration is a pair of failover mirror members in an arbiter-controlled configuration. The arbiter is placed in a third zone within the same region to protect from potential availability zone outages impacting both the arbiter and one of the mirror members. There are many ways mirroring can be setup specifically in the network configuration. In this example, we will use the network subnets defined previously in the Network Gateway and Subnet Definitions section of this document. Example IP address schemes will be provided in a following section and for the purpose of this section, only the network interfaces and designated subnets will be depicted. Figure 7-a: Sample mirror configuration with arbiter Disaster Recovery InterSystems database mirroring extends the capability of high available to also support disaster recovery to another AWS geographic region to support operational resiliency in the unlikely event of an entire AWS region going offline. How an application is to endure such outages depends on the recovery time objective (RTO) and recovery point objectives (RPO). These will provide the initial framework for the analysis required to design a proper disaster recovery plan. The following link provides a guide for the items to be considered when developing a disaster recovery plan for your application. https://aws.amazon.com/disaster-recovery/ Asynchronous Database Mirroring InterSystems IRIS Data Platform’s database mirroring provides robust capabilities for asynchronously replicating data between AWS availability zones and regions to help support the RTO and RPO goals of your disaster recovery plan. Details of async mirror members can be found here. Similar to the earlier high availability section, a cloud load balancer will provide automatic IP address failover for a Virtual IP (VIP-like) capability for DR asynchronous mirroring as well using the same mirror_status.cxw health check status page mentioned earlier in the Internal Load Balancers section. In this example, DR asynchronous failover mirroring will be covered along with the introduction of the AWS Route53 DNS service to provide upstream systems and client workstations with a single DNS address regardless of which availability zone or region your InterSystems IRIS deployment is operating. Details of AWS Route53 can be found here. Figure 8.1-a: Sample DR Asynchronous Mirroring with AWS Route53 In the above example, the IP addresses of both region’s Elastic Load Balancer (ELB) that front-end the InterSystems IRIS instances are provided Route53, and it will only direct traffic to whichever mirror member is the active primary mirror regardless of the availability zone or region it is located. Sharded Cluster InterSystems IRIS includes a comprehensive set of capabilities to scale your applications, which can be applied alone or in combination, depending on the nature of your workload and the specific performance challenges it faces. One of these, sharding, partitions both data and its associated cache across a number of servers, providing flexible, inexpensive performance scaling for queries and data ingestion while maximizing infrastructure value through highly efficient resource utilization. An InterSystems IRIS sharded cluster can provide significant performance benefits for a wide variety of applications, but especially for those with workloads that include one or more of the following: High-volume or high-speed data ingestion, or a combination. Relatively large data sets, queries that return large amounts of data, or both. Complex queries that do large amounts of data processing, such as those that scan a lot of data on disk or involve significant compute work. Each of these factors on its own influences the potential gain from sharding, but the benefit may be enhanced where they combine. For example, a combination of all three factors — large amounts of data ingested quickly, large data sets, and complex queries that retrieve and process a lot of data — makes many of today’s analytic workloads very good candidates for sharding. Note that these characteristics all have to do with data; the primary function of InterSystems IRIS sharding is to scale for data volume. However, a sharded cluster can also include features that scale for user volume, when workloads involving some or all of these data-related factors also experience a very high query volume from large numbers of users. Sharding can be combined with vertical scaling as well. Operational Overview The heart of the sharded architecture is the partitioning of data and its associated cache across a number of systems. A sharded cluster physically partitions large database tables horizontally — that is, by row — across multiple InterSystems IRIS instances, called data nodes, while allowing applications to transparently access these tables through any node and still see the whole dataset as one logical union. This architecture provides three advantages: Parallel processing Queries are run in parallel on the data nodes, with the results merged, combined, and returned to the application as full query results by the node the application connected to, significantly enhancing execution speed in many cases. Partitioned caching Each data node has its own cache, dedicated to the sharded table data partition it stores, rather than a single instance’s cache serving the entire data set, which greatly reduces the risk of overflowing the cache and forcing performance-degrading disk reads. Parallel loading Data can be loaded onto the data nodes in parallel, reducing cache and disk contention between the ingestion workload and the query workload and improving the performance of both. Details of InterSystems IRIS sharded cluster can be found here. Elements of Sharding and Instance Types A sharded cluster consists of at least one data node and, if needed for specific performance or workload requirements, an optional number of compute nodes. These two node types offer simple building blocks presenting a simple, transparent, and efficient scaling model. Data Nodes Data nodes store data. At the physical level, sharded table[1]data is spread across all data nodes in the cluster and non-sharded table data is physically stored on the first data node only. This distinction is transparent to the user with the possible sole exception that the first node might have a slightly higher storage consumption than the others, but this difference is expected to become negligible as sharded table data would typically outweigh non-sharded table data by at least an order of magnitude. Sharded table data can be rebalanced across the cluster when needed, typically after adding new data nodes. This will move “buckets” of data between nodes to approximate an even distribution of data. At the logical level, non-sharded table data and the union of all sharded table data is visible from any node, so clients will see the whole dataset, regardless of which node they’re connecting to. Metadata and code are also shared across all data nodes. The basic architecture diagram for a sharded cluster simply consists of data nodes that appear uniform across the cluster. Client applications can connect to any node and will experience the data as if it were local. Figure 9.2.1-a: Basic Sharded Cluster Diagram [1]For convenience, the term “sharded table data” is used throughout the document to represent “extent” data for any data model supporting sharding that is marked as sharded. The terms “non-sharded table data” and “non-sharded data” are used to represent data that is in a shardable extent not marked as such or for a data model that simply doesn’t support sharding yet. Compute Nodes For advanced scenarios where low latencies are required, potentially at odds with a constant influx of data, compute nodes can be added to provide a transparent caching layer for servicing queries. Compute nodes cache data. Each compute node is associated with a data node for which it caches the corresponding sharded table data and, in addition to that, it also caches non-sharded table data as needed to satisfy queries. Figure 9.2.2-a: Shard cluster with Compute Nodes Because compute nodes don’t physically store any data and are meant to support query execution, their hardware profile can be tailored to suit those needs, for example by emphasizing memory and CPU and keeping storage to the bare minimum. Ingestion is forwarded to the data nodes, either directly by the driver (xDBC, Spark) or implicitly by the sharding manager code when “bare” application code runs on a compute node. Sharded Cluster Illustrations There are various combinations of deploying a sharded cluster. The following high-level diagrams are provided to illustrate the most common deployment models. These diagrams do not include the networking gateways and details and provide to focus only on the sharded cluster components. Basic Sharded Cluster The following diagram is the simplest sharded cluster with four data nodes deployed in a single region and in a single zone. An AWS Elastic Load Balancer (ELB) is used to distribute client connections to any of the sharded cluster nodes Figure 9.3.1-a: Basic Sharded Cluster In this basic model, there is no resiliency or high availability provided beyond that of what AWS provides for a single virtual machine and its attached SSD persistent storage. Two separate network interface adapters are recommended to provide both network security isolation for the inbound client connections and also bandwidth isolation between the client traffic and the sharded cluster communications. Basic Sharded Cluster with High Availability The following diagram is the simplest sharded cluster with four mirrored data nodes deployed in a single region and splitting each node’s mirror between zones. An AWS Load Balancer is used to distribute client connections to any of the sharded cluster nodes. High availability is provided through the use of InterSystems database mirroring which will maintain a synchronously replicated mirror in a secondary zone within the region. Three separate network interface adapters are recommended to provide both network security isolation for the inbound client connections and bandwidth isolation between the client traffic, the sharded cluster communications, and the synchronous mirror traffic between the node pairs. Figure 9.3.2-a: Basic Sharded Cluster with High Availability This deployment model also introduces the mirror arbiter as described in an earlier section of this article. Sharded Cluster with Separate Compute Nodes The following diagram expands the sharded cluster for massive user/query concurrency with separate compute nodes and four data nodes. The Cloud Load Balancer server pool only contains the addresses of the compute nodes. Updates and data ingestion will continue to update directly to the data nodes as before to sustain ultra-low latency performance and avoid interference and congestion of resources between query/analytical workloads from real-time data ingestion. With this model the allocation of resources can be fine-tuned for scaling of compute/query and ingestion independently allowing for optimal resources where needed in a “just-in-time” and maintaining an economical yet simple solution instead of wasting resources unnecessarily just to scale compute or data. Compute Nodes lend themselves for a very straightforward use of AWS auto scale grouping (aka Autoscaling) to allow for automatic addition or deletion of instances from a managed instance group based on increased or decreased load. Autoscaling works by adding more instances to your instance group when there is more load (upscaling), and deleting instances when the need for instances is lowered (downscaling). Details of AWS Autoscaling can be found here. Figure 9.3.3-a: Sharded Cluster with Separate Compute and Data Nodes Autoscaling helps cloud-based applications gracefully handle increases in traffic and reduces cost when the need for resources is lower. Simply define the policy and the auto-scaler performs automatic scaling based on the measured load. Backup Operations There are multiple options available for backup operations. The following three options are viable for your AWS deployment with InterSystems IRIS. The first two options, detailed below, incorporate a snapshot type procedure which involves suspending database writes to disk prior to creating the snapshot and then resuming updates once the snapshot was successful. The following high-level steps are taken to create a clean backup using either of the snapshot methods: Pause writes to the database via database External Freeze API call. Create snapshots of the OS + data disks. Resume database writes via External Thaw API call. Backup facility archives to backup location Details of the External Freeze/Thaw APIs can be found here. Note: Sample scripts for backups are not included in this document, however periodically check for examples posted to the InterSystems Developer Community. www.community.intersystems.com The third option is InterSystems Online backup. This is an entry-level approach for smaller deployments with a very simple use case and interface. However, as databases increase in size, external backups with snapshot technology are recommended as a best practice with advantages including the backup of external files, faster restore times, and an enterprise-wide view of data and management tools. Additional steps such as integrity checks can be added on a periodic interval to ensure clean and consistent backup. The decision points on which option to use depends on the operational requirements and policies of your organization. InterSystems is available to discuss the various options in more detail. AWS Elastic Block Store (EBS) Snapshot Backup Backup operations can be achieved using AWS CLI command-line API along with InterSystems ExternalFreeze/Thaw API capabilities. This allows for true 24x7 operational resiliency and assurance of clean regular backups. Details for managing and creating and automation AWS EBS snapshots can be found here. Logical Volume Manager (LVM) Snapshots Alternatively, many of the third-party backup tools available on the market can be used by deploying individual backup agents within the VM itself and leveraging file-level backups in conjunction with Logical Volume Manager (LVM) snapshots. One of the major benefits to this model is having the ability to have file-level restores of either Windows or Linux based VMs. A couple of points to note with this solution, is since AWS and most other IaaS cloud providers do not provide tape media, all backup repositories are disk-based for short term archiving and have the ability to leverage blob or bucket type low cost storage for long-term retention (LTR). It is highly recommended if using this method to use a backup product that supports de-duplication technologies to make the most efficient use of disk-based backup repositories. Some examples of these backup products with cloud support include but is not limited to: Commvault, EMC Networker, HPE Data Protector, and Veritas Netbackup. InterSystems does not validate or endorses one product over the other. Online Backup For small deployments the built-in Online Backup facility is also a viable option as well. This InterSystems database online backup utility backs up data in database files by capturing all blocks in the databases then writes the output to a sequential file. This proprietary backup mechanism is designed to cause no downtime to users of the production system. Details of Online Backup can be found here. In AWS, after the online backup has finished, the backup output file and all other files in use by the system must be copied to some other storage location outside of that virtual machine instance. Bucket/Object storage is a good designation for this. There are two option for using an AWS Single Storage Space (S3) bucket. Use the AWS CLIscripting APIs directly to copy and manipulate the newly created online backup (and other non-database) files Details can be found here. Mount an Elastic File Store (EFS) volume and use it similarly as a persistent disk at a low cost. Details of EFS a can be found here. @Mark.Bolinsky ,You do insanely good work... thanks for this. Additionally, InterSystems IRIS and IRIS for Health are now available within the AWS marketplace: https://aws.amazon.com/marketplace/seller-profile?id=6e5272fb-ecd1-4111-8691-e5e24229826f Thanks gentlemen for your documentation work. @Mark Bolinsky: It would be so perfect if you could share YAML templates to choose and deploy directly some of your examples, as done here 😉

Okay, it's officially going to be an outstanding Developer Zone this year at InterSystems READY 2025!Tech Exchange — a special space filled with developer-tailored content — is back this year, better than ever! Here's what to explore at Tech Exchange: ✅ More than 40 short tech demos with Q&A✅ Developer Ecosystem Booth: Meet and chat with the Developer Relations team — the people behind the Developer Community, Global Masters, Ideas Portal, Open Exchange, Programming Contests, and many other activities we run for developers! Try your luck at the Wheel of Fortune Snap a photo at our booth for a secret project (we’ll reveal more at the booth!) and earn Global Masters points🍪 Did you know there will be a barista in the room? Well, our table has cookies! Help us clear the cookies — yes, the edible kind!As always, learn about everything we offer to support developers — including our new AI-powered Developer Community tool (get faster answers and debug errors more easily), programming and writing contests with prizes, and tons of great resources!✅ Learning Services booth with one-on-one training sessions and learning plan consultations. Learn more here ✅ User Experience booth✅ Request a 1-on-1 meeting with InterSystems product experts and developers Dedicated tables with InterSystems experts that will be ready to answer your questions:✅ FHIR & Interoperability tableAttend the FHIR Table at Tech Exchange to Learn About New Bulk FHIR Features: Population-level analytics across patient cohorts and EHRs Building high-quality research datasets with FHIR Extracting clinical measures, operational analytics, and care quality metrics from health systems using FHIR How SMART on FHIR and FHIR Bulk Access support third-party application development and innovation ✅ Python table of Mumpsters and Pythonistas Mumpsters, you have question around Python? Python developpers you have question around IRIS ? come to the Python Table! Meet with our experts to discuss all things Python and IRIS. We will be happy to answer your questions, share best practices, and help you get the most out of your Python experience with IRIS. 🐍 Topics: Interoperability on Python (IoP) Remote debugging Deep Dive in low level APIs Best practices How to start with Python and IRIS Virtual Environment Support ✅ Got SQL Questions? Stop by the SQL Table!Meet InterSystems experts and get quick answers on IRIS SQL, vector search, query tuning, data modeling, and more. Topics: IRIS SQL fundamentals Vector search and foreign tables Data modeling and indexing strategies Query optimization and error investigation Document storage and sharding techniques ✅ Visit the Supply Chain Table Stop by for one-on-one conversations and live demos covering the latest in InterSystems supply chain solutions. Topics: Overview of InterSystems supply chain solutions and strategy Deep dive into our key products: InterSystems Supply Chain OrchestratorInterSystems Data Fabric Studio with supply chain module Real-world client use cases and implementation stories Live demos featuring: Intelligent supply chain for smarter healthcare Empowering enterprise applications through a supply chain data gateway Decision intelligence with Supply Chain Orchestrator Generative AI Co-Pilot for supply chain workflows What: Tech Exchange @ InterSystems READY 2025Where: Bonnet Creek IX As always, we have a number of Global Masters activities - both fun and informational - to keep you updated on the event while you also earning the points. Check them out under "InterSystems READY" tag. 👏

Hi Community, It's voting time! Cast your votes for the best applications in our InterSystems FHIR and Digital Health Interoperability Contest: 🔥 VOTE FOR THE BEST APPS 🔥 How to vote? Details below. Experts nomination: An experienced jury from InterSystems will choose the best apps to nominate for the prizes in the Experts Nomination. Community nomination: All active members of the Developer Community with a “trusted” status in their profile are eligible to vote in the Community nomination. Blind vote! The number of votes for each app will be hidden from everyone. We will publish the leaderboard in the comments to this post once a day. The order of projects on the contest page will be as follows: the earlier an application was submitted to the competition, the higher it will be on the list. P.S. Don't forget to subscribe to this post (click on the bell icon) to be notified of new comments. To take part in the voting, you need: Sign in to Open Exchange – DC credentials will work. Make any valid contribution to the Developer Community – answer or ask questions, write an article, contribute applications on Open Exchange – and you'll be able to vote. Check this post on the options to make helpful contributions to the Developer Community. If you change your mind, cancel the choice and give your vote to another application! Support the application you like! Note: contest participants are allowed to fix the bugs and make improvements to their applications during the voting week, so don't miss and subscribe to application releases!

Hi Community, Enjoy the new video in a series of videos created by our Project Managers to highlight some of the interesting features of the new 2025.1 release: ⏯ RAG with built-in Vector Search in InterSystems IRIS 2025.1 The 2025.1 release of InterSystems IRIS introduces powerful new support for retrieval-augmented generation (RAG) using built-in vector search. This lets developers combine their enterprise data with large language models to build smarter, context-aware applications — all within the database. The new approximate nearest neighbor indexing dramatically boosts performance, and InterSystems offers learning resources to help developers get started. 🗣 Presenter: @tomd, Product Manager - Machine Learning, InterSystems Stay in the loop. Watch the video and hit subscribe for more updates!

Kong provides an open source configuration management tool (written in Go), called decK (which stands for declarative Kong) Check that decK recognizes your Kong Gateway installation via deck gateway ping deck gateway ping Successfully connected to Kong! Kong version: 3.4.3.11 Export Kong Gateway configuration to a file named "kong.yaml" via deck gateway dump deck gateway dump -o kong.yaml After modifying the IP adcresses in kong.yaml file, show the differences via deck gateway diff deck gateway diff kong.yaml updating service test-iris { "connect_timeout": 60000, "enabled": true, - "host": "192.168.65.1", + "host": "172.24.156.176", "id": "8fc9849d-9e61-402d-bcad-c3e611808892", "name": "test-iris", "port": 9092, "protocol": "http", "read_timeout": 60000, "retries": 5, "write_timeout": 60000 } updating service uct { "connect_timeout": 60000, "enabled": true, - "host": "192.168.65.1", + "host": "172.24.156.176", "id": "96ad587e-8921-4d6c-acb7-3f7f7a7cc072", "name": "uct", "path": "/api/uct/", "port": 9092, "protocol": "http", "read_timeout": 60000, "retries": 5, "write_timeout": 60000 } Summary: Created: 0 Updated: 2 Deleted: 0 Apply changes via deck gateway sync deck gateway sync kong.yaml updating service uct { "connect_timeout": 60000, "enabled": true, - "host": "192.168.65.1", + "host": "172.24.156.176", "id": "96ad587e-8921-4d6c-acb7-3f7f7a7cc072", "name": "uct", "path": "/api/uct/", "port": 9092, "protocol": "http", "read_timeout": 60000, "retries": 5, "write_timeout": 60000 } updating service test-iris { "connect_timeout": 60000, "enabled": true, - "host": "192.168.65.1", + "host": "172.24.156.176", "id": "8fc9849d-9e61-402d-bcad-c3e611808892", "name": "test-iris", "port": 9092, "protocol": "http", "read_timeout": 60000, "retries": 5, "write_timeout": 60000 } Summary: Created: 0 Updated: 2 Deleted: 0 Export the configuration of a workspace via deck gateway dump --workspace myworkspace deck gateway dump --workspace workspace1 Deploy a workspace via deck gateway sync workspace1.yaml --workspace workspace1 deck gateway sync workspace1.yaml --workspace workspace1 For more information : https://docs.konghq.com/deck/get-started https://docs.konghq.com/deck/reference/faq/ https://github.com/Kong/deck/blob/main/CHANGELOG.md/

Hi Community, Enjoy the new video on InterSystems Developers YouTube: ⏯ Migrating 20TB to InterSystems IRIS with Near 0 Downtime @ Global Summit 2024 Pardini (Grupo Fleury) executed a significant migration to InterSystems IRIS while also switching the operating system from Sun Solaris to Red Hat. Hear from them about their journey and technical challenges, and discover new InterSystems IRIS features, including API Manager, InterSystems IRIS Reports, and Columnar Storage. Presenters:🗣 @Rochael.Ribeiro, Sales Engineer Manager, InterSystems 🗣 @Fernando.Ferreira, Sales Engineer, InterSystems Want to learn something new? Watch the video and subscribe for more!

If you're migrating from Oracle to InterSystems IRIS—like many of my customers—you may run into Oracle-specific SQL patterns that need translation. Take this example: SELECT (TO_DATE('2023-05-12','YYYY-MM-DD') - LEVEL + 1) AS gap_date FROM dual CONNECT BY LEVEL <= (TO_DATE('2023-05-12','YYYY-MM-DD') - TO_DATE('2023-05-02','YYYY-MM-DD') + 1); In Oracle: LEVEL is a pseudo-column used in hierarchical queries (CONNECT BY). It starts at 1 and increments by 1. CONNECT BY LEVEL <= (...) determines how many rows to generate. The difference between the two dates plus one gives 11, so the query produces 11 rows, counting backwards from May 12, 2023 to May 2, 2023. Breakdown of the result: LEVEL = 1 → 2023-05-12 LEVEL = 2 → 2023-05-11 ... LEVEL = 11 → 2023-05-02 Now the question is: How do you achieve this in InterSystems IRIS, which doesn’t support CONNECT BY? One solution is to implement a SQL-style query using ObjectScript that mimics this behavior. Below is a sample CREATE QUERY definition that accepts a STARTDATE and a number of DAYS, and returns the descending list of dates. ✅ InterSystems IRIS: Implementing a Date Gap Query CREATE QUERY GET_GAP_DATE(IN STARTDATE DATE, IN DAYS INT) RESULTS (GAP_DATE DATE) PROCEDURE LANGUAGE OBJECTSCRIPT Execute(INOUT QHandle BINARY(255), IN STARTDATE DATE, IN DAYS INT) { SET QHandle("start") = STARTDATE SET QHandle("days") = DAYS SET QHandle("level") = 1 RETURN $$$OK } Fetch(INOUT QHandle BINARY(255), INOUT Row %List, INOUT AtEnd INT) { IF (QHandle("level") > QHandle("days")) { SET Row = "" SET AtEnd = 1 } ELSE { SET Row = $ListBuild(QHandle("start") - QHandle("level") + 1) SET QHandle("level") = QHandle("level") + 1 } RETURN $$$OK } Close(INOUT QHandle BINARY(255)) { KILL QHandle QUIT $$$OK } You can run the above CREATE QUERY in IRIS System Management Portal, or through a tool like DBeaver or a Python/Jupyter notebook using JDBC/ODBC. 🧪 Example Usage: To generate the same result as the Oracle query above, use: SELECT * FROM GET_GAP_DATE( TO_DATE('2023-05-12', 'YYYY-MM-DD'), TO_DATE('2023-05-12', 'YYYY-MM-DD') - TO_DATE('2023-05-02', 'YYYY-MM-DD') + 1 ); This will output: GAP_DATE ---------- 2023-05-12 2023-05-11 ... 2023-05-02 (11 rows) 🔁 Advanced Usage: Join with Other Tables You can also use this query as a subquery or in joins: SELECT * FROM GET_GAP_DATE(TO_DATE('2023-05-12', 'YYYY-MM-DD'), 11) CROSS JOIN dual; This allows you to integrate date ranges into larger SQL workflows. Hope this helps anyone tackling Oracle-to-IRIS migration scenarios! If you’ve built alternative solutions or have improvements, I’d love to hear your thoughts.

GA releases are now published for the 2020.2 version of InterSystems IRIS, IRIS for Health, and IRIS Studio! A full set of containers for these products are available from the WRC Software Distribution site, including community editions of InterSystems IRIS and IRIS for Health. The build number for these releases is 2020.2.0.211.0. InterSystems IRIS Data Platform 2020.2 provides an important security update with the following enhancements: Support for TLS 1.3 Support for SHA-3 InterSystems IRIS for Health 2020.2 includes all of the enhancements of InterSystems IRIS. In addition, this release includes: FHIR R4 Data transformations New configuration UI for the FHIR Server Support for IHE RMU Profile IHE Connectathon Updates As this is a CD (Continuous Delivery) release, many customers may want to know the differences between 2020.2 and 2020.1. These are listed in the release notes: InterSystems IRIS 2020.2 release notes IRIS for Health 2020.2 release notes Documentation can be found here: InterSystems IRIS 2020.2 documentation IRIS for Health 2020.2 documentation InterSystems IRIS Studio 2020.2 is a standalone development image supported on Microsoft Windows. It works with InterSystems IRIS and IRIS for Health version 2020.2 and below, as well as with Caché and Ensemble. The platforms on which InterSystems IRIS and IRIS for Health 2020.2 are supported for production and development are detailed in the Supported Platforms document. Hi Stefan, I'm not seeing the 2020.2 distributions listed for the full kits on the WRC site. Do you know when they will be available? Hi @Jeffrey.Drumm , thanks for the catch, the wording was not clear and I have corrected the statement. 2020.2 is a CD release, which only contains container images, not full kits. Thanks, Stefan Full kits will not be available for this release? Correct. @Jeffrey.Drumm - please see the article on how InterSystems IRIS will be released: https://community.intersystems.com/post/new-release-cadence-intersystems-irisThis may help to clear up some confusion. The Community Edition images for IRIS and IRIS for Health are now available in the Docker Store. And we now offer the Community Edition for both x64 and ARM64 architectures. Try them out! InterSystems IRIS: docker pull store/intersystems/iris-community:2020.2.0.211.0 docker pull store/intersystems/iris-community-arm64:2020.2.0.211.0 InterSystems IRIS for Health: docker pull store/intersystems/irishealth-community:2020.2.0.211.0 docker pull store/intersystems/irishealth-community-arm64:2020.2.0.211.0 Thank you for the clarification. I'm in the middle of a Cache/Ensemble on SUSE -> IRIS for Health on RHEL migration and would prefer to be at the latest available release prior to go-live. But I guess I am, per the release schedule. Great news about ARM support. As tagged image can be provided with several architectures (example with 4) is there a reason why we separate the tags into community and community-arm? As I understand, this functionality (as well as the ability to use default image tags such as 'openjdk' vs '/store/intersystems/...') is only available for Official Images (https://docs.docker.com/docker-hub/official_images/) that are published by Docker. We are a verified publisher, and our images are Docker certified, but they are not published and maintained by Docker. Here's a Docker Hub image (not official, not certified) with multiple architectures. Here's info on publishing multi-arch images. Some more info. manifest command was successfully merged into docker codebase so it seems possible now. Are there any plans to bring the FHIR capabilities to the EM channel - 2020.1.x? While I appreciate the difference between CD/EM models, these FHIR updates could be critical for those of us that have to stick to the EM model (particularly the FHIR R4 and FHIR Server changes) without needing to wait until a 2021.x release. There are no plans to integrate latest FHIR features into EM (Extended Maintenance) releases at this time, but we will be sure to let everyone know should our release plans change in the future. Thanks,Craig

Hi Community, We're pleased to invite you to join the upcoming InterSystems IRIS 2020.1 Tech Talk: Data Science, ML & Analytics on April 21st at 10:00 AM EDT! In this first installment of InterSystems IRIS 2020.1 Tech Talks, we put the spotlight on data science, machine learning (ML), and analytics. InterSystems IntegratedMLTM brings automated machine learning to SQL developers. We'll show you how this technology supports feature engineering and chooses the most appropriate ML model for your data, all from the comfort of a SQL interface. We'll also talk about what's new in our open analytics offerings. Finally, we'll share some big news about InterSystems Reports, our "pixel-perfect" reporting option. See how you can now generate beautiful reports and export to PDF, Excel, or HTML. Speakers:🗣 @Benjamin.DeBoe, Product Manager🗣 @Thomas.Dyar, Product Specialist, Machine Learning🗣 @Carmen.Logue, Product Manager, Data Platforms Date: Tuesday, April 21, 2020Time: 10:00 AM EDT ➡️ JOIN THE TECH TALK! The webinar begins right now. Do not miss, you can still register! ➡️ JOIN THE TECH TALK! Hi Developers, Please find the webinar recording here. Enjoy!

Hi Community, We introduced 3 new tags for the posts: Data Import and Export CSV InterSystems Business Solutions and Architectures Please check the full list of DC tags. Leave your requests for other new tags to introduce! 👍🏼

GA releases are now available for the first version (v1.0) of InterSystems System Alerting and Monitoring (InterSystems SAM for short) InterSystems SAM v1.0 provides a modern monitoring solution for InterSystems IRIS based products. It allows high-level views of clusters and single-node drilled down metrics-visualization together with alerts notifications. This first version provides visualization for more than one hundred InterSystems IRIS kernel metrics, and users can extend the default-supplied Grafana template to their liking. V1.0 is meant to be a simple and intuitive baseline. Help us make it great by trying it and sending us feedback! SAM can display information from InterSystems-based instance starting with version 2020.1 SAM is only available in container format. You will need the SAM Manager container plus a small set of additional open-source components (Prometheus and Grafana) that are added automatically by the composition file.SAM components and the SAM Manager Community Edition are available fromThe WRC Components page as “SAM Components” and the WRC Containers page as “SAM Manager”Externally via the Components Github repo & the Container page Documentation can be found here. Introduction to System Alerting and Monitoring from our Learning Services team: https://www.youtube.com/watch?v=UzUs5iHcoJ0&feature=youtu.be That's great! Thanks for sharing

Hey Developers, New "Coding Talk" video was specially recorded by @Yuri.Gomes for the InterSystems IRIS AI Programming Contest: ⏯ SAPPHIRE - AutoML UI to InterSystems IntegratedML In this video, you'll learn about a web application to create your InterSystems IntegratedML models called SAPPHIRE. ⬇️ SAPPHIRE on Open Exchange ➡️ Learn more: Machine Learning with IntegratedML and Sapphire For any questions, please write to @Yuri.Gomes at yurimarx@gmail.com or in the Direct Messages on DC. Enjoy watching this video! And don't forget to vote for this project in the IRIS AI Programming Contest! 🔥

Now Sapphire enable you load CSV to IRIS. See the steps: 1) Create a sample CSV file using Excel (save file as CSV): 2) Follow these instructions to install Sapphire into your enviroment: https://openexchange.intersystems.com/package/SAPPHIRE 3) Access Sapphire web page. Go to top menu Import > Load CSV 4) Configure access to your IRIS target instance, select new table, set your new table name, click Choose button and load your csv file and click upload. Click Get Definitions. 5) CSV Export definitions are presented and you can edit sql column name or sql column type to your preferences if you want. 6) After configuration click Export CSV: 7) See results in your Management Portal: With this feature you can load your training, validate and real content data prediction or load CSV data to any new or existent table. Hi, Yuri, I tried Sapphire and get a 'Undefiend' error when connect to my IRIS. the URL I used is : "jdbc:IRIS://LOCALHOST:9091/USER". I am not sure it's okay, because from container system, I can ping LOCALHOST, but I don't think this is the docker Host server, my MAC os, and I can't ping MAC OS's any ip address from docker. Any suggestion? thank you