Runtime security for Azure Kubernetes Service (AKS) environments requires putting controls in place to detect unexpected and malicious behavior across your applications, infrastructure, and cloud environment. Runtime threats include things like: Even if you’re taking advantage of tools like container image vulnerability scanning, Kubernetes pod security policies, and Kubernetes network policies with AKS, not every risk will be addressed.
You may have noticed the VMware Tanzu team talking and writing a lot about container security lately, which is no accident. As DevOps and Kubernetes adoption continue their exponential growth in the enterprise, securing container workloads consistently is among the most difficult challenges associated with that transformation. There is a term we have been seeing—and using—a lot lately that encompasses a new way of looking at container security for Kubernetes: DevSecOps.
Automation and adoption of cloud (public and/or private) are the two key components for the success of Digital Transformation. Automation has been synonymous with the agility and scalability of applications and infrastructure. DevOps ensures quick release of apps all the way from development to test to the stage to production. Cloud ensures quick allocation of resources (Compute, Memory, Storage, Network, etc.) for the applications.
Within just five years, Kubernetes and containers have redefined how software is deployed. Researchers expect the container market to grow by 30% year over year to become a 5 billion industry by 2022. But what is the reason behind this mass adoption of container technology in the enterprise? Download whitepaper Containers are more resource efficient than virtual machines or other legacy app architectures.
Kubernetes applications are increasingly making their way to the edge and embedded computing. Storage will quickly follow as the applications that rely on this edge infrastructure become more advanced and naturally carry more state. According to a study by McKinsey and Company, a “connected car” processes up to 25GB of data per hour.
Code analysis tools are essential to gain an overview and understanding of the quality of your code. This post is going to cover the following While these tools target similar use cases, they differ in their implementation, ease of use, and documentation just to name a few. This post provides an overview of each tool as well as a detailed comparison to help analyse and decide which tool is best suited for your needs.
As Kubernetes adoption continues to grow, Kubernetes audit logs are a critical information source to incorporate in your Kubernetes security strategy. It allows security and DevOps teams to have full visibility into all events happening inside the cluster. The Kubernetes audit logging feature was introduced in Kubernetes 1.11.
Shipa is excited to launch our new webcast series, Talking Shipa. To kick this series off, we sat down with Shipa Founder and CEO, Bruno Andrade, to discuss the release of Shipa Application Management Framework for Kubernetes, version 1.2. In this video, Bruno spends a few minutes with us to talk about the new features and improvements that are packed into this new release.
When we first started our managed Kubernetes beta, we knew utilising K3s as the Kubernetes distribution of choice was the right move. Not only is it light-weight and quick to deploy, K3s has features ideally suited for the scenarios we envisioned our users would encounter. It’s important for us to make sure any service we offer is 100% compatible with industry standards, and K3s allows us to do just that but with simplicity and speed for our users.
Organizations have now seen the value of building microservices. They are delivering applications as discrete functional parts, each of which can be delivered as a container or service and managed separately. But for every application, there are more parts to manage than ever before, especially at scale, and that’s where many turn to an orchestrator for help.
