Look out for these Kubernetes monitoring best practices when evaluating a Kubernetes monitoring solution. It will be easier to make sense of them if your tools are Kubernetes native. Let’s face it. Running containers in Kubernetes brings a number of advantages in terms of automation, segmentation, and efficiency. However, the ability to monitor performance and availability in an ever-changing infrastructure like Kubernetes can be a challenge.

Deploying Docker images to Kubernetes is a great way to run your application in an easily scalable way. Getting started with your first Kubernetes deployment can be a little daunting if you are new to Docker and Kubernetes, but with a little bit of preparation, your application will be running in no time. In this blog post, we will cover the basic steps needed to build Docker images and deploy them to a Kubernetes cluster.

We hear the terms all the time: agile, transformation, developer productivity, employee happiness. Unfortunately, transformation that improves both product and delivery—and that is continuous—can be challenging. Meaningful evolution is hard when everybody involved comes into a transformation process with all sorts of biases deeply embedded.

Many businesses use cloud services on AWS and also run workloads on Kubernetes and Knative. Today, it’s difficult to integrate events from AWS to workloads on a Rancher cluster, preventing you from taking full advantage of your data and applications. To trigger a workload on Rancher when events happen in your AWS service, you need an event source that can consume AWS events and send them to your Rancher workload.

In Switzerland, Inventx is the IT partner of choice for financial and insurance service providers. Its full-stack DevOps platform, ix.AgileFactory, allows financial organizations to move to a modern, cloud-native and microservices-centric infrastructure. The platform decouples core applications from the central infrastructure, allowing organizations to better manage and innovate applications in safety.

Sysdig is pleased to announce that the Sysdig Secure DevOps Platform is now available through Red Hat Marketplace.

If it wasn’t clear before the global pandemic, it is now: Cloud applications can keep businesses moving forward. During this time, people have been able to shop, connect with friends and, of course, work from home.

There are times in life that feel like they are detached from reality. Some call it divine intervention, others use more modern, hippie-ish ways to explain these moments. Call it what you will, nearly everyone has experienced some form of this occurrence. Some people have been short on cash and found a $50 note on the ground. Others have lost jobs only to find their dream job on the way to their car after getting walked out by security.

There is no doubt about the fact that Docker makes it very easy to deploy multiple applications on a single box. Be it different versions of the same tool, different applications with different version dependencies - Docker has you covered. But then nothing comes free. This flexibility comes with some problems - like high disk usage and large images. With Docker, you have to be careful about writing your Dockerfile efficiently in order to reduce the image size and also improve the build times.

When organizations think about the relationship between Kubernetes and cloud costs, they often focus on Kubernetes’ auto-scaling capabilities and what this means for optimizing compute resources. Kubernetes does allow organizations to provision compute resources more thinly, because the platform allows them to scale up automatically if there’s a demand spike in the middle of the night.