Operations | Monitoring | ITSM | DevOps | Cloud

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.

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.

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.

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.

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.

This article will focus on using fluentd and ElasticSearch (ES) to log for Kubernetes (k8s). This article contains useful information about microservices architecture, containers, and logging. Additionally, we have shared code and concise explanations on how to implement it, so that you can use it when you start logging in your own apps. ‍Useful Terminology.

This blog is part of our series on how to use Atlassian features, automations, and integrations to take time back to ship better code, faster. Click here for the full list of 12+ new features or follow us on Twitter to stay up-to-date! Picture this: you've landed in a Development team that practices DevOps religiously (or maybe you're even leading one!). But despite spending hours integrating your tools and reading your edition of the Phoenix Project, you still feel like there's something missing.