Contestant

Monitoring your IRIS deployment is crucial. With the deprecation of System Alert and Monitoring (SAM), a modern, scalable solution is necessary for real-time insights, early issue detection, and operational efficiency. This guide covers setting up Prometheus and Grafana in Kubernetes to monitor InterSystems IRIS effectively.

This guide assumes you already have an IRIS cluster deployed using the InterSystems Kubernetes Operator (IKO), which simplifies deployment, integration and mangement.

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All pods are assigned a Quality of Service (QoS). These are 3 levels of priority pods are assigned within a node.

The levels are as following:

1) Guaranteed: High Priority

2) Burstable: Medium Priority

3) BestEffort: Low Priority

It is a way of telling the kubelet what your priorities are on a certain node if resources need to be reclaimed. This great GIF below by Anvesh Muppeda explains it.

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We now get to make use of the IKO.

Below we define the environment we will be creating via a Custom Resource Definition (CRD). It lets us define something outside the realm of what the Kubernetes standard knows (this is objects such as your pods, services, persistent volumes (and claims), configmaps, secrets, and lots more). We are building a new kind of object, an IrisCluster object.

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Hey Community,

Enjoy the new video on InterSystems Developers YouTube:

Containers & Kubernetes - Proper Use and Lessons Learned @ Global Summit 2024

https://www.youtube.com/embed/GUbe6Iwt9T4
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Article
· Mar 2, 2024 4m read
IKO - Lessons Learned (Part 1 - Helm)

The IKO documentation is robust. A single web page, that consists of about 50 actual pages of documentation. For beginners that can be a bit overwhelming. As the saying goes: how do you eat an elephant? One bite at a time. Let's start with the first bite: helm.

What is Helm?

Helm is to Kubernetes what the InterSystems Package Manager (IPM, formerly ObjectScript Package Manager - ZPM) is to IRIS.

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Regardless of whether an instance of IRIS is in the cloud or not, high availability and disaster recovery are always important considerations. While IKO already allows for the use of NodeSelectors to enforce the scheduling of IRISCluster nodes across multiple zones, multi-region k8s clusters are generally not recommended or even supported in the major CSP's managed Kubernetes solutions. However, when discussing HA and DR for IRIS, we may want to have an async member in a completely separate region, or even in a different cloud provider altogether.

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The Istio Service Mesh is commonly used to monitor communication between services in applications. The "battle-tested" sidecar mode is its most common implementation. It will add a sidecar container to each pod you have in your namespace that has Istio sidecar injection enabled.

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Good morning dear community,

This is like my first post in this community. Let's see how this turns out.
I have a question about the Intersystems Kubernetes Operator and the deployment of the webgateways.

I am responsible for the hosting and deployment of the apps. For the future we are planning to host our application in a kubernetes cluster. I am using the IKO for this.
I am using webgateways, for external access as separate pods. And sidecar containers for internal access, like the management portal.

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So if you are following from the previous post or dropping in now, let's segway to the world of eBPF applications and take a look at Parca, which builds on our brief investigation of performance bottlenecks using eBPF, but puts a killer app on top of your cluster to monitor all your iris workloads, continually, cluster wide!

Continous Profiling with Parca, IRIS Workloads Cluster Wide

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I attended Cloud Native Security Con in Seattle with full intention of crushing OTEL day, then perusing the subject of security applied to Cloud Native workloads the following days leading up to CTF as a professional excercise. This was happily upended by a new understanding of eBPF, which got my screens, career, workloads, and atitude a much needed upgrade with new approaches to solving workload problems.

So I made it to the eBPF party and have been attending clinic after clinic on the subject ever since, here I would like to "unbox" eBPF as a technical solution, mapped directly to what we do in practice (even if its a bit off), and step through eBPF through my experimentation on supporting InterSystems IRIS Workloads, particularly on Kubernetes, but not necessarily void on standalone workloads.

eBee Steps with eBPF and InterSystems IRIS Workloads

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In our previous article, we have explored the most common Kubernetes components:

  • We started with the pods and the services we needed to communicate with each other.
  • Then, we examined the Ingress component used to Route traffic into the cluster.
  • We also skimmed through an external configuration using ConfigMaps and Secrets.
  • Afterward, we analyzed Data persistence with the help of Volumes.
  • Finally, we took a quick look at pod blueprints with such replicating mechanisms as Deployments and StatefulSets (the latter is employed specifically for such stateful applications as databases).

In this article, we will explore Kubernetes architecture and configuration.

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Hi Community,

Play the new video on InterSystems Developers YouTube:

Introducing Smart Data Services @ Global Summit 2023

https://www.youtube.com/embed/8ZQf5m0HA5w
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Article
· Mar 25, 2024 7m read
Introduction to Kubernetes

In this article, we will cover below topics:

  • What is Kubernetes?
  • Main Kubernetes (K8s) Components


What is Kubernetes?

Kubernetes is an open-source container orchestration framework developed by Google. In essence, it controls container speed and helps you manage applications consisting of multiple containers. Additionally, it allows you to operate them in different environments, e.g., physical machines, virtual machines, Cloud environments, or even hybrid deployment environments.

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As an IT and cloud team manager with 18 years of experience with InterSystems technologies, I recently led our team in the transformation of our traditional on-premises ERP system to a cloud-based solution. We embarked on deploying InterSystems IRIS within a Kubernetes environment on AWS EKS, aiming to achieve a scalable, performant, and secure system. Central to this endeavor was the utilization of the AWS Application Load Balancer (ALB) as our ingress controller.

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The IKO will dynamically provision storage in the form of persistent volumes and pods will claim them via persistent volume claims.

But storage can come in different shapes and sizes. The blueprint to the details about the persistent volumes comes in the form of the storage class.

This raises the question: we've deployed the IrisCluster, and haven't specified a storage class yet. So what's going on?

You'll notice that with a simple

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The IKO allows for sidecars. The idea behind them is to have direct access to a specific instance of IRIS. If we have mirrored data nodes, the web gateway will (correctly) only give us access to the primary node. But perhaps we need access to a specific instance. The sidecar is the solution.

Building on the example from the previous article, we introduce the sidecar by using a mirrored data node and of course arbiter.

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If you are a customer of the new InterSystems IRIS® Cloud SQL and InterSystems IRIS® Cloud IntegratedML® cloud offerings and want access to the metrics of your deployments and send them to your own Observability platform, here is a quick and dirty way to get it done by sending the metrics to Google Cloud Platform Monitoring (formerly StackDriver).

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Hey Community,

Hit that play button and enjoy the new video on InterSystems Developers YouTube:

Can You Autoscale This? Lessons from the Field on Kubernetes @ Global Summit 2023

https://www.youtube.com/embed/AjPUDGYyNsU
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Hi, I was wondering if anyone already dealt with this issue:
"System has been suspended for over X seconds, exceeding the maximum duration specified. Allowing system activity to resume. Any ongoing backup has presumably failed. Next InterSystems IRIS backup must be a full one"

our backup system "Commvault" is automatic, how do you tell it once you get this message that the next backup should be full?

thanks,

Eyal

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Hello, we deploy IRIScluster using IKO on Red Hat OpenShift deployed in AWS. For DR, we have another AWS region on stand by. We do daily backups. I run a standalone IRIS in the second region. I want to add it as async member to the mirror to have some essential data available in the standby region. Is this possible?

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We have solution which uses IRIS with IAM and webgateway integrated.

After integration, we notice that in the kong configuration in the kongdb upstreams are not created as listed in the kong.yml

We noticed that, IAM api calls are failing with enterprise license expired.

[kong@iam-deployment-75f485954c-ssdfv /]$ curl --location --request POST 'http://localhost:8001/services/'
{"message":"Enterprise license missing or expired"}

From Logs:

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image

This article will cover turning over control of provisioning the InterSystems Kubernetes Operator, and starting your journey managing your own "Cloud" of InterSystems Solutions through Git Ops practices. This deployment pattern is also the fulfillment path for the PID^TOO||| FHIR Breathing Identity Resolution Engine.

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Article
· Nov 28, 2023 2m read
k9s - Manage Your IrisClusters In Style

K9s is a terminal-based UI (aka kubectl clown suit), to manage Kubernetes clusters that drastically simplifies navigating, observing, and managing your applications in K8s, including Custom Resources like the InterSystems Kubernetes Operator (IKO) and ArgoCD Applications. If you are about to take your CKD, CKA, or CKS, leave k9s well enough alone for awhile as the abstraction to kubectl will become the standard for navigating the cluster and you will undoubtedly become estranged to the extended flags of kubectl and bomb the exam.

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I am currently using IKO 3.6 to deploy an irisCluster on EKS, but I am facing some challenges. Firstly, I need assistance in understanding how to connect to the Web Gateway sidecar. If anyone has experience with this, I would greatly appreciate any guidance or advice you can offer. Secondly, I am trying to utilize the 'seed: path' options of irisDatabases, but I am unsure of the best approach. If anyone has successfully implemented this feature, I would love to hear about your approach and any insights you can provide. Thank you in advance for any help you can offer!

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