Operations | Monitoring | ITSM | DevOps | Cloud

Amazon Elastic Container Service (ECS) is a managed compute platform for containers that was designed to be simple to configure, with opinionated defaults to help users get started quickly. ECS customers can run containerized workloads on either Amazon EC2 instances or the serverless Fargate platform without having to maintain a control plane—and can easily integrate ECS with other AWS resources, like Network Load Balancers, to architect their infrastructure.

Logz.io is always looking to improve the user experience when it comes to Kubernetes and monitoring your K8s architecture. We’ve taken another step with that, adding OpenTelemetry instrumentation with Helm charts. We have made Helm charts available before, previously with editions suitable for Metricbeat and for Prometheus operators.

In this article, you will find 10 practical Prometheus query examples for monitoring your Kubernetes cluster. So you are just getting started with Prometheus, and are figuring out how to write PromQL queries. At Sysdig, we’ve got you covered! A while ago, we created a PromQL getting started guide. Now we’ll jump in skipping the theory, directly with some PromQL examples.

Amazon Elastic Container Service (ECS) Anywhere enables you to simply run containers in whatever location makes the most sense for your business – including on-premises. Security is a key concern for organizations shifting to the cloud. Sysdig has validated our Secure DevOps platform with ECS Anywhere, giving AWS customers the security and visibility needed to run containers confidently on the new deployment model.

Argo Rollouts, part of the Argo project, recently released their 1.0 version. You can see the changelog and more details on the Github release page. If you are not familiar with Argo Rollouts, it is a Kubernetes Controller that deploys applications on your cluster. It replaces the default rolling-update strategy of Kubernetes with more advanced deployment methods such as blue/green and canary deployments.

Without a strategy in place, it will introduce a handful of challenges. Platform teams will be unable to do the following: As you’re defining policies for multi-tenant AKS, EKS, or GKE clusters, consider these tips: To help you get started on the right track, we created this cheatsheet for multi-tenancy success.

Since the revolutionization of the concept by Docker in 2013, containers have become a mainstay in application development. Their speed and resource efficiency make them ideal for a DevOps environment as they allow developers to run software faster and more reliably, no matter where it is deployed. With containerization, it’s possible to move and scale several applications across clouds and data centers. However, this scalability can eventually become an operational challenge.

Kubernetes — a popular open source container orchestration system — enables you to easily deploy, monitor, and scale cloud-native application workloads in both private and public cloud environments. In other words, Kubernetes does the hard work of managing containerized applications, giving you more time to spend building it.