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Patching systems is not a new problem; this is something that organizations are very familiar with. Organizations have tried solving this issue in various ways by cobbling together multiple tools, processes, different teams, and more. Organizations are constantly trying to stay secure and keep their systems up to date, but patch management isn’t a simple process. In fact, applying the patch itself is just one part of the overall workflow, which involves multiple teams and various steps.

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.

Client libraries are collections of code that make it easier for developers to write flexible and efficient applications that interface with APIs. Datadog provides client libraries so you can programmatically interact with our API to customize dashboards, search metrics, create alerts, and perform other tasks. We’re pleased to announce that we’ve developed and open-sourced two new client libraries for Java and Go in addition to our existing Ruby and Python libraries.

Kubernetes is a powerful orchestration system, however, it can be really hard to configure its deployment process. Specific apps can help you manage multiple independent resources like pods, services, deployments, and replica sets. Yet, each must be described in the YAML manifest file.

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.

Get Better Observability With Machine Learning Anomaly Detection. DevOps teams today are challenged with the rapid growth and complexity of infrastructure. Managing those environments only through static thresholds becomes insufficient, so to address this issue, modern DevOps teams rely on advanced ML/AI algorithms.