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The latest News and Information on Containers, Kubernetes, Docker and related technologies.

How to monitor Golden signals in Kubernetes

What are Golden signals metrics? How do you monitor golden signals in Kubernetes applications? Golden signals can help to detect issues of a microservices application. These signals are a reduced set of metrics that offer a wide view of a service from a user or consumer perspective, so you can detect potential problems that might be directly affecting the behaviour of the application.

Monitoring Kubernetes in Production

Monitoring Kubernetes, both the infrastructure platform and the running workloads, is on everyone’s checklist as we evolve beyond day zero and into production. Traditional monitoring tools and processes aren’t adequate, as they do not provide visibility into dynamic container environments. Given this, what tools can you use to monitor Kubernetes and your applications?

Best practices for alerting on Kubernetes

A step by step cookbook on best practices for alerting on Kubernetes platform and orchestration, including PromQL alerts examples. If you are new to Kubernetes and monitoring, we recommend that you first read Monitoring Kubernetes in production, in which we cover monitoring fundamentals and open-source tools. Interested in Kubernetes monitoring?

Create Reproducible Security in Kubernetes with Helm 3 and Helm Charts

With the growing popularity of containerized applications, organizations and startups at all levels need to manage their Kubernetes deployments more safely at scale. Today, there is an expanding list of tools and services that can help do this. One of these services is the package manager known as Helm.

Chaos Engineering for a More Secure Kubernetes

Netflix, Amazon, Google, Facebook, and a host of other companies have adopted chaos engineering, which encourages designing systems to proactively ward off potential issues through testing and the anticipation of failure. When it comes to container orchestration tools like Kubernetes, chaos engineering is a vital tactic for enhancing security.

SLOs for AWS-based infrastructure

In our latest two-part series blog, Gigi Sayfan, author of “Mastering Kubernetes”, discusses managing complex infrastructure on AWS with an eye towards SLOs (service level objectives). Though there are many ways to discuss the management of infrastructure, in this two-part series, he covers SLOs for AWS, Observability on AWS, Quotas Limits, and Optimizing cost on AWS and in the second part, he uses the lens of Kubernetes to compare and contrast compute infrastructure on AWS with Kubernetes.

SUSE Enters Into Definitive Agreement to Acquire Rancher Labs

I’m excited to announce that Rancher has signed a definitive agreement to be acquired by SUSE. Rancher is the most widely used enterprise Kubernetes platform. SUSE is the largest independent open source software company and a leader in enterprise Linux. By combining Rancher and SUSE, we not only gain massive engineering resources to further strengthen our market-leading product, we are also able to preserve our unique 100% open source business model.

Introduction to multi cluster security using Calico Enterprise

Now that you’ve deployed your network policies to secure your Kubernetes cluster, how do you deploy your policies to other clusters? What do you do each time a new cluster is provisioned? And how do you deploy changes to your policies? Most organizations have a set of central security policies, and many are deploying Kubernetes across multiple clouds and on-prem. Scaling security becomes a formidable challenge. Calico Multi-Cluster Management is a feature in Calico Enterprise that Federates network security policies across multiple clusters – whether on-prem, hybrid, or multi-cloud.

Getting up and running with Calico on your on premises K8s Cluster

If you are deploying Kubernetes on-premises in your datacenter, you won’t want to miss this talk and demo. The first thing you’re thinking about might not be networking, but without some knowledge of the networking decisions you’ll need to make, and what the right option is given your environment, you’re likely to get stuck or make the wrong assumptions that may limit your ability to scale or integrate with the rest of the datacenter network.