The latest News and Information on DevOps, CI/CD, Automation and related technologies.
When an application in a Docker container emits logs, they are sent to the application’s stdout and stderr output streams. The container’s logging driver can access these streams and send the logs to a file, a log collector running on the host, or a log management service endpoint. In this post, we’ll explain how the driver you choose—and how you configure it—influences the performance of your containerized application and the reliability of your Docker logging.
January 29, 2020 It’s well known that within large IT datacenters, specialists in different domains (i.e. application, DB, networking, storage, etc) often struggle with sharing tools to solve problems. Vendors produce tools that may give a deep view of one domain, but lack correlation with others.
In today’s post, we’ll go over what continuous integration and continuous delivery are, the benefits that come along with employing CI/CD, and some best practices that you should follow. We’ll also explore a wide array of Elixir ecosystem tools that can help you create top-notch CI pipelines. In order to experiment with a handful of the tools that we will be discussing, we’ll use a Git hooks Elixir library to execute our CI/CD validation steps, but on our local machine.
This is the one post I hope you’ll never need. However, should you ever need it, this is your one-stop shop for understanding how to proceed with DevOps incident management. Have you just been attacked? Did the commit go wrong? A CI pipeline went haywire? Don’t worry. I got you.
In any rapidly emerging market, consultants can be a great source for vendor-neutral insights, as they typically work with multiple technologies to help their customers make informed decisions. In that vein, Derya (Dorian) Sezen of kloia, a new-era consulting organization that provides services toward transition of legacy workloads to frontline technologies in Cloud, DevOps and Microservices, recently wrote a blog summarizing his experience with Rancher and Red Hat OpenShift.
Local prototyping has become de rigueur for most web stack developers in the last few years. Even complex web backends are generally assumed to be emulatable from a developer’s laptop. But this assumption breaks down a bit as we explore the AWS platform in general. More specifically, serverless architecture challenges the system of local prototyping.
