Operations | Monitoring | ITSM | DevOps | Cloud

I’m excited to announce the general availability of the SUSE NeuVector container security platform version 5.1. With the 5.1 release, customers will benefit from more efficient and powerful vulnerability scanning and admission controls across multiple clusters through centralized enterprise scanning, auto-scaling scanners and support for the new Kubernetes (1.25+) pod security admission (PSA) standard. The release also supports the Cilium network plug-in.

As companies start their Kubernetes and cloud-native journey, cloud infrastructures and services grow at a rapid pace. This happens all too often as organizations shift left without thorough controls, which can lead to overallocating and overspending on their Kubernetes environments. Organizations running workloads in the cloud can put budgets at risk when they lack information about key facts.

As we enter the holiday season, online shopping and payment systems are gearing up for higher traffic and workloads. Ensuring that these applications can handle the increased demand without slowing down or crashing is critical for providing a smooth and efficient experience for customers. One way to improve the performance and reliability of these applications is by using chiselled Ubuntu images in your containerised deployment.

The structured nature of Kubernetes enables a repeatable and scalable means of deploying and managing services and applications. This has led to widespread adoption across market verticals for both on-premises and cloud deployment models. The autonomous nature of Kubernetes operation, however, demands comprehensive, fully-converged observability and security. This is uniquely possible today using the Elastic platform.

Enterprises are increasingly adopting Kubernetes. In fact, Gartner estimates that by 2026 more than 90% of global organizations will be running containerized applications in production, an increase from fewer than 40% in 2020. And IDC reports that 80% of new workloads are being developed in containers.

A new version of Rancher Desktop with the experimental Allowed Images feature and several other improvements has just been released!

In this tutorial, we will learn about Docker container lifecycle. But first, let me share a personal anecdote. On a hot summer afternoon in 2021, my manager called me out of the blue and said, “Muskan, the project file you shared with me is not working on my machine. Could you please come over and fix the setup? It’s really urgent.” I rushed to his cabin and tried my best but could not fix the dependencies issues.

In a previous article, we walked you through key steps to become a proficient DevOps: However, even experienced DevOps are still struggling in their day-to-day work for several reasons. One of the most common challenges is the fast-paced nature of the DevOps field, which requires professionals to learn and adapt to new technologies and methodologies constantly. This can be difficult for even the most experienced individuals, as it requires them to stay up-to-date with the latest developments in the field.

Kubernetes was born out of the need to make our complex applications highly available, scalable, portable and deployable in small microservices independently. It also extends its capabilities to make adoption of DevOps processes and helps you set up modern Incident Response strategies to enhance the reliability of your applications.

When it comes to creating new Pods from a ReplicationController or ReplicaSet, ServiceAccounts for namespaces, or even new EndPoints for a Service, kube-controller-manager is the one responsible for carrying out these tasks. Monitoring the Kubernetes controller manager is fundamental to ensure the proper operation of your Kubernetes cluster. If you are in your cloud-native journey, running your workloads on top of Kubernetes, don’t miss the kube-controller-manager observability.