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#Cloud

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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.

Learn more.

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.

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Hi All,

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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Hi Community!

New video "Deploying Shards Using InterSystems Cloud Manager" is available now on InterSystems Developers YouTube:

https://www.youtube.com/embed/UV1zYRQUPlw
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Hey folks,

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.

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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.

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Hi, Community!

Please welcome a new session recording from Global Summit 2017:

Migrating Apps to the Cloud : The Basics

https://www.youtube.com/embed/q9Vbx8WDww0
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Container Images

In this second post on containers fundamentals, we take a look at what container images are.

What is a container image?

A container image is merely a binary representation of a container.

A running container or simply a container is the runtime state of the related container image.

Please see the first post that explains what a container is.

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Article
· Jan 31, 2018 3m read
Container - What is a Container?

Containers

With the launch of InterSystems IRIS Data Platform, we provide our product even in a Docker container. But what is a container?

The fundamental container definition is that of a sandbox for a process.

Containers are software-defined packages that have some similarities to virtual machines (VM) like for example they can be executed.

Containers provide isolation without a full OS emulation. Containers are therefore much lighter than a VM.

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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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Hi, Community!

This week we have two videos. Check all new session recordings from Global Summit 2017:

1. Containers for InterSystems Technologies

https://www.youtube.com/embed/lgDCkGvjL8I
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Hi, Community!

This week we have two videos. Check all new videos on InterSystems Developers YouTube Channel:

1. What is InterSystems Cloud Manager?

https://www.youtube.com/embed/_JDb1bfhB5w
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This video provides an introduction to InterSystems Cloud Manager (ICM) and its capabilities.

2. Instant Gratification: Pick Your Cloud

https://www.youtube.com/embed/qwI9KBMZh94
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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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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.

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Hi Community!

Check the new video on InterSystems Developers YouTube Channel:

Tier 1 Applications in a Virtual Environment

https://www.youtube.com/embed/ftbfOyJfg5Y
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Hi Community!

Please find the Developer Community Video of the week:

Failover for Cloud and Wide-Area Networks

https://www.youtube.com/embed/da-UegJsjO4
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Database systems have very specific backup requirements that in enterprise deployments require forethought and planning. For database systems, the operational goal of a backup solution is to create a copy of the data in a state that is equivalent to when application is shut down gracefully. Application consistent backups meet these requirements and Caché provides a set of APIs that facilitate the integration with external solutions to achieve this level of backup consistency.

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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.

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Enterprises need to grow and manage their global computing infrastructures rapidly and efficiently while simultaneously optimizing and managing capital costs and expenses. Amazon Web Services (AWS) and Elastic Compute Cloud (EC2) computing and storage services meet the needs of the most demanding Caché based application by providing
 a highly robust global computing infrastructure.

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Mirroring 101

Caché mirroring is a reliable, inexpensive, and easy to implement high availability and disaster recovery solution for Caché and Ensemble-based applications. Mirroring provides automatic failover under a broad range of planned and unplanned outage scenarios, with application recovery time typically limited to seconds. Logical data replication eliminates storage as a single point of failure and a source of data corruption. Upgrades can be executed with little or no downtime.

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++Update: August 2, 2018

This article provides a reference architecture as a sample for providing robust performing and highly available applications based on InterSystems Technologies that are applicable to Caché, Ensemble, HealthShare, TrakCare, and associated embedded technologies such as DeepSee, iKnow, Zen and Zen Mojo.

Azure has two different deployment models for creating and working with resources: Azure Classic and Azure Resource Manager. The information detailed in this article is based on the Azure Resource Manager model (ARM).

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Question
· Jun 15, 2016
Cluster deployment recipes?

Let assume you have a infinitely scaling algorithm implemented in your application, using replication, ECP, or any other means of horizontal scaling, and let assume you know how to run your system under any volume of requests, the trick is to deploy required number of computing nodes in the cluster. If we are talking about cluster of 2-4 nodes your administrator (or as they call it today "devops engineer") will install anything manually. Probably he will easily handle 5 nodes configuration in the cluster.

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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.

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