All source code to the article is available at: https://github.com/antonum/ha-iris-k8s 

In the previous article, we discussed how to set up IRIS on k8s cluster with high availability, based on the distributed storage, instead of traditional mirroring. As an example, that article used the Azure AKS cluster. In this one, we'll continue to explore highly available configurations on k8s. This time, based on Amazon EKS (AWS managed Kubernetes service) and would include an option for doing database backup and restore, based on Kubernetes Snapshot.

Installation

Let's get right to business.

In this article, we’ll build a highly available IRIS configuration using Kubernetes Deployments with distributed persistent storage instead of the “traditional” IRIS mirror pair. This deployment would be able to tolerate infrastructure-related failures, such as node, storage and Availability Zone failures. The described approach greatly reduces the complexity of the deployment at the expense of slightly extended RTO.

IRIS External Table is an InterSystems Community Open Source Project, that allows you to use files, stored in the local file system and cloud object storage such as AWS S3 as SQL Tables.

It can be found on Github https://github.com/intersystems-community/IRIS-ExternalTable Open Exchange https://openexchange.intersystems.com/package/IRIS-External-Table and is included in InterSystems Package Manager ZPM.

To instal External Table from GitHub use:

git clone https://github.com/antonum/IRIS-ExternalTable.git
iris session iris
USER>set sc = ##class(%SYSTEM.OBJ).

InterSystems IRIS Deployment Guide for AWS using CloudFormation template 

Please note: following this guide, especially the prerequisites section requires Intermediate to Advanced level of knowledge of AWS. You'll need to create and manage S3 buckets, IAM roles for EC2 instances, VPCs and Subnets. You'll also need access to InterSystems binaries (usually downloaded via WRC site) as well as IRIS license key.
 

Aug 12, 2020
Anton Umnikov

Templates Source code is available here: https://github.com/antonum/AWSIRISDeployment

Table of Contents

InterSystems IRIS Deployment Guide – AWS Partner Network.

October 17, 2019

Anton Umnikov
Sr. Cloud Solutions Architect at InterSystems
AWS CSAA, GCP CACE

AWS Glue is a fully managed ETL (extract, transform, and load) service that makes it simple and cost-effective to categorize your data, clean it, enrich it, and move it reliably between various data stores.

In the case of InterSystems IRIS, AWS Glue allows moving large amounts of data from both Cloud and on-Prem data sources into IRIS.

Presenter: Anton Umnikov
Task: Run SQL queries quickly on huge amounts of data
Approach: Use a shared-nothing architecture to leverage a cluster of small, cost-effective servers
 

Explains how a shared nothing architecture allows you to leverage a cluster of small, costeffective servers to serve query results that would have taken much longer on a single, big and expensive box. This brings affordable horizontal scalability.

Content related to this session, including slides, video and additional learning content can be found here.

Presenter: Anton Umnikov
Task: Identify your slowest SQL queries and tune them for better performance
Approach: Use InterSystems’ query profiling and analysis tools. Discuss how system configuration can affect performance
 

This session will show you how you identify the weakest link in your application SQL and introduce you to the fine art of tuning those queries. To do this we will take a look at InterSystems query profiling and analysis tools, as well as how system configuration can impact SQL performance.

Problem: Obscurity on how our SQL engine works

Content related to this session, including slides, video and additional learning content can be found here.