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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Article
Luca Ravazzolo · 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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Article
David Reche · Jan 18, 2019 2m read
Free IRIS Community Edition in AWS

Good News!! You can use now the Free InterSystems IRIS Community Edition in the AWS Cloud

Hello,

It's very common that people new in InterSystems IRIS want to start to work in a personal project in a full free environment. If you are one of this, Good News!! You can use now the Free InterSystems IRIS Community Edition in the AWS Cloud.

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++ Update: August 1, 2018

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. 

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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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Hi all,

I was wondering, what is your favourite public cloud provider?

What is your level of engagement with the cloud provider? Are you testing their infrastructure? In which case I'd expect you being progressing a parallel test with at least a second provider ;-) Or, are you already running a production environment?

--

 

OK, so, let me be the first one to share my experience with one specific cloud provider.

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Hi,

Can a Cache Mirror be  used in the cloud ? (ie stand up a Primary and Backup member instances in a High Availability Cache Mirroring configuration) 

I'm investigating the validity of this configuration, because I was of the understanding that this may not possible due to these cloud servers not (typically) having fixed ip addresses, which interferes with the Virtual IP settings for the mirror set.

Is this correct, and if there are workarounds (like Load Balancing ?) can I have details on how this should be configured ?

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Question
Timur Safin · 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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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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Hi Community!

We are glad to invite every developer who uses ObjectSript and VSCode plugin to the second webinar hold by the VSCode ObjectScript plugin developer on May 26  at 11:00 EDT. 

You will learn how to develop InterSystems IRIS solutions using GitHub Development Flow with VSCode ObjectScript and Docker.

Speaker: @Dmitriy Maslennikov, InterSystems Developers Advocate, CTO at CaretDev.

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Hello,

I work on deploying IRIS inside Docker container. I really like %Installer class can automate many steps. I want to establish an ECP connection to a mirror database and then define a remote database on the application server. I have already seen we can create local database and namespace in %Installer. What code is needed to establish ECP connection?

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Hi,

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.

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Hey Developers,

We're pleased to invite you to join the next InterSystems IRIS 2020.1 Tech Talk: DevOps on June 2nd  at 10:00 AM EDT! 

In this InterSystems IRIS 2020.1 Tech Talk, we focus on DevOps. We'll talk about InterSystems System Alerting and Monitoring, which offers unified cluster monitoring in a single pane for all your InterSystems IRIS instances. It is built on Prometheus and Grafana, two of the most respected open source offerings available.

Next, we'll dive into the InterSystems Kubernetes Operator, a special controller for Kubernetes that streamlines InterSystems IRIS deployments and management. It's the easiest way to deploy an InterSystems IRIS cluster on-prem or in the Cloud, and we'll show how you can configure mirroring, ECP, sharding and compute nodes, and automate it all.

Finally, we'll discuss how to speed test InterSystems IRIS using the open source Ingestion Speed Test. This tool is available on InterSystems Open Exchange for your own testing and benchmarking. 

   

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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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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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++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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I wanted to write it as a comment to article of @Evgeny Shvarov . But it happens to be so long, so, decided to post it separately.

Image result for docker clean all images

I would like to add a bit of clarification about how docker uses disk space and how to clean it.  I use macOS, so, everything below, is mostly for macOS, but docker commands suit any platform.

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