Cloud computing is an information technology paradigm that enables ubiquitous access to shared pools of configurable system resources and higher-level services that can be rapidly provisioned with minimal management effort, often over the Internet.
I am new to IRIS and I was told I could get a great hands-on experince with the commuity edition that is currently availabe on mutliple cloud providers.
Unfortunately connecting Atelier to the given IRIS instance has been unsuccessful:
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I would like to know if anyone has had some experience in building systems for multiple end-users.
To keep things simple, in a hypothetical example, say an Event Booking System, where a Venue could sign up to use such a system and define it's Venue, costs, calendars, etc.. and then invite their customers to book the Venue on different days/times.
If I wish to offer such a system to many Venues, there are a number of options available.
Google Cloud Platform (GCP) provides a feature rich environment for Infrastructure-as-a-Service (IaaS) as a cloud offering fully capable of supporting all of InterSystems products including the latest 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, operations, and management procedures. Specifics of each of those areas will be covered in this article.
If you're interested in the cloud, Global Summit is a great place to get updates on everything from choosing a public cloud to provisioning in any cloud. Time is running out to register for the Global Summit. LEARN MORE OR REGISTER NOW.
For Global Summit 2016, I set out to showcase a Reference Architecture I had been working on for a National Provider Directory solution with State Level Instances and a National Instance all running HealthShare Provider Directory and all running on AWS Infrastructure.
In short, I wanted to highlight:
The implementation of Amazon Web Services to provision the infrastructure, including the auto-creation of the state level instances through Cloud Formation.
The use of the HSPD Broadcast functionality to Notify Upstream Systems Changes in Master Provider Data.
The implementation of a transformation of the standard Broadcast Object to HL7 MFN for interoperability.
The principals of Master Data Management applied to the Provider Directory.
Who, in the age of digital transformation, doesn't want to reap more benefits out of any process, procedure, and resource we have? At InterSystems Solution Developers Conference (part of InterSystems Global Summit 2018) we will have sessions on how to improve the way applications are built with modern tools like Docker containers, Gitlab, Circle CI, Travis, etc., how continuous integration and continuous delivery (CI/CD) processes can help us deliver more value quickly to the end-user, and how we can start thinking about modernizing traditional applications.
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I am new to IRIS and cloud platforms. I've done the InterSystems IRIS Experience on the learning site and read a lot of the online documentation. What I am unable to figure out is which type of package or option you will use on the cloud provider.
AWS for example, has AWS EC2, Elastic Beanstalk and some other products geared towards Docker containers. Azure has Kubernetes and some other options.
In this series of articles, I'd like to present and discuss several possible approaches toward software development with InterSystems technologies and GitLab. I will cover such topics as:
Git 101
Git flow (development process)
GitLab installation
GitLab Workflow
Continuous Delivery
GitLab installation and configuration
GitLab CI/CD
Why containers?
Containers infrastructure
CD using containers
CD using ICM
In this article, we'll build Continuous Delivery with InterSystems Cloud Manager. ICM is a cloud provisioning and deployment solution for applications based on InterSystems IRIS. It allows you to define the desired deployment configuration and ICM would provision it automatically. For more information take a look at First Look: ICM.
The use of the InterSystems Virtual IP (VIP) address built-in to Caché database mirroring has certain limitations. In particular, it can only be used when mirror members reside the same network subnet. When multiple data centers are used, network subnets are not often “stretched” beyond the physical data center due to added network complexity (more detailed discussion here). For similar reasons, Virtual IP is often not usable when the database is hosted in the cloud.
Network traffic management appliances such as load balancers (physical or virtual) can be used to achieve the same level of transparency, presenting a single address to the client applications or devices. The network traffic manager automatically redirects clients to the current mirror primary’s real IP address. The automation is intended to meet the needs of both HA failover and DR promotion following a disaster.
When you hear people talk about moving their applications to the cloud, are you unsure of what exactly they mean? Do you want a solution for migrating your local, physical servers to a flexible, efficient cloud infrastructure?
Anyone have any suggestions where to spin up small Cache/IRIS/Ensemble test DBs? Hopefully very low cost (or free) reliable hosting? Obviously AWS has some options but wondering if anyone has had 12 month+ experience with very low cost Cache cloud with AWS, Azure, Google, etc?
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How suitable is Docker for standalone deployment of an Ensemble version and Ensemble application together?
The context is deployment by an application partner of an integration application and the supporting Ensemble version as a single package (single file ideally), to multiple environments and to multiple customer sites.
I don't have experience with Ensemble on Docker so I'm wondering what gaps and pitfalls may exist.
Last week saw the launch of the InterSystems IRIS Data Platform in sunny California.
For the engaging eXPerience Labs (XP-Labs) training sessions, my first customer and favourite department (Learning Services), was working hard assisting and supporting us all behind the scene.
Hi all! We have just released a new online course, Getting Started with ICM, that provides an introduction to InterSystems Cloud Manager (ICM) -- one of the new technologies coming with the release of InterSystems IRIS!
I am designing the software architecture for an Ensemble/Healthshare production to be deployed on Amazon AWS EC2 servers (2 mirrored m4.large - 4 vCPUs / 16 GiB RAM running RedHat Linux 3.10.0-327.el7.x86_64 and Healthshare for RHEL 64-bit 2016.2.1). It's a rather CPU-intensive production involving massive XSLT 2.0 transformations (massive both in terms of size and volume). I was wondering if anyone has experience configuring Ensemble productions on EC2 servers. My question or concern has to do with the following statement in the Ensemble documentation:
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This video provides an introduction to InterSystems Cloud Manager (ICM) and its capabilities.
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This summer the Database Platforms department here at InterSystems tried out a new approach to our internship program. We hired 10 bright students from some of the top colleges in the US and gave them the autonomy to create their own projects which would show off some of the new features of the InterSystems IRIS Data Platform. The team consisting of Ruchi Asthana, Nathaniel Brennan, and Zhe “Lily” Wang used this opportunity to develop a smart review analysis engine, which they named Lumière. As they explain:
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