Operations | Monitoring | ITSM | DevOps | Cloud

As a developer, getting metrics from your application onto a Prometheus graph can seem daunting. We’ll look at analyzing your service to find the most useful places to add metrics, how to add that instrumentation, getting it exposed and scraped, and then basic queries to use those metrics on graphs. Check out another article of mine for general reference on instrumenting, this one on Prometheus metrics, or this comparison on instrumentation alternatives.

OpenTelemetry is an instrumentation standard for application monitoring - both for monitoring metrics & distributed tracing. In this blog, we take you through a hands on guide on how to run this on Kubernetes.

Today we are pleased to announce our partnership with Nutanix, creators of the industry’s most popular hyper-converged infrastructure (HCI) technology. HCI combines datacenter hardware using locally-attached storage resources with intelligent software to create flexible building blocks that replace legacy infrastructure consisting of separate servers, storage networks, and storage arrays.

Amazon Elastic Kubernetes Service (Amazon EKS) is the fully managed Kubernetes service on AWS. If you’re using it and wondering how to query all your logs in one place, Loki is the answer. With this tutorial, you’ll learn how to set up Promtail on EKS to get full visibility into your cluster logs while using Grafana. We’ll start by forwarding pods logs then nodes services and finally Kubernetes events.

Don’t miss out on these 12 image scanning best practices, whether you are starting to run containers and Kubernetes in production, or want to embed more security into your current DevOps workflow. One of the main challenges your teams face is how to manage security risk without slowing down application delivery. A way to address this early is by adopting a Secure DevOps workflow.

CEO and Co-Founder Sheng Liang has a saying about how we approach open source at Rancher Labs: “Let a thousand flowers bloom.” When we set out to build something, we don’t know if it will turn into a successful product, spark another product idea or be a good idea that doesn’t get traction. The joy is in the journey.

As the Kubernetes ecosystem grows, new technologies are being developed that enable a wider range of applications and use cases. The growth of edge computing has driven a need for some of these technologies to enable the deployment of Kubernetes to low-resource infrastructure to the network edge. In this blog post, we are going to introduce you to one method of deploying k3OS to the edge. You can use this method to automatically register your edge machine to a Rancher instance as a control plane.

MicroK8s was first released in late 2018 and has seen significant adoption rates from developers and enterprises alike ever since. Taking increasing demand and curiosity around the topic, we have already given an introduction to MicroK8s as well as covered how to deploy MicroK8s locally in previous blog posts. This time, we’ll take a look at MicroK8s’ applied value, by examining common MicroK8s use cases. Among others, this includes AI/ML workflows.