Operations | Monitoring | ITSM | DevOps | Cloud

You’ve put in the time applying for tech jobs and have made it to the daunting interview. You know they are going to ask you about Kubernetes, so make sure you are prepared. If you are completely new to Kubernetes we recommend you first read our Kubernetes pronunciation post, so you don’t really embarrass yourself, and then check out the Kubernetes glossary we created to help give you a decent Kubernetes foundation.

What does ‘diff’ mean in Git? In this beginner Git tutorial, we will walk you through the concept of a diff and the benefits of using a robust diff tool, like that offered in the GitKraken Git GUI.

Today’s modern deployment pipeline is arguably one of the most important aspects of an organization’s infrastructure. The ability to take source code and turn it into a production application that’s scalable, reliable and highly available has become an enormous undertaking due to the pervasiveness of modern application architectures, multi- or hybrid-cloud deployment strategies, container orchestration and the leftward movement of security into the pipeline.

At Elastic, we believe in the power of open source and understand the importance of community. By putting the community first, we ensure that we create the best possible product for our users. With Elastic Security, two of our core objectives are to stop threats at scale and arm every analyst. Today, we’re opening up a new GitHub repository, elastic/detection-rules, to work alongside the security community, stopping threats at a greater scale.

In Kubernetes, Ingress objects define rules for how to route a client’s request to a specific service running inside your cluster. These rules can take into account the unique aspects of an incoming HTTP message, including its Host header and the URL path, allowing you to send traffic to one service or another using data discovered in the request itself. That means you can use Ingress objects to define routing for many different applications.

IT is advancing blazingly fast. To keep up with architectural changes and hybrid environments, it’s more important than ever to maintain efficient infrastructure monitoring and troubleshooting. Adding to the complexity is the increase of distributed systems, comprised of many components and services.

Over the past few years, we’ve seen an almost obsession with developing and adopting CI/CD tools throughout the DevOps community. There are thousands of “how-to’s”, “top x tools”, and “tool x vs tool y” type articles, and it has gotten to the point where it’s quite difficult to figure out how and which one to pick as your own.

Everyone hates waiting in a queue. On the other hand, when you’re moving gigabytes of data around a cloud environment, message queues are your best friend. Enter Apache Kafka. Apache Kafka enables organisations to create message queues for large volumes of data. That’s about it – it does one simple but critical element of cloud-native strategies, really well.

At Elastic we are constantly innovating and releasing new features. As we release new features we are also working to make sure that they are tested, solid, and reliable — and sometimes we do find bugs or other issues. While testing a new feature we discovered a Linux kernel bug affecting SSD disks on certain Linux kernels. In this blog article we cover the story around the investigation and how it involved a great collaboration with two close partners, Google Cloud and Canonical.