The latest News and Information on DevOps, CI/CD, Automation and related technologies.
Trying to improve the reliability of your Kubernetes deployment? Start with these 5 chaos experiments. Kubernetes 1.20 is scheduled to be released next week, and this version contains a number of amazing enhancements including graceful node shutdown, more visibility into resource requests, and snapshotting volumes. But the change generating the most buzz is the deprecation of Docker as a container runtime.
Cloud-native is the ultimate buzzword lately. So, is “cloud-native storage” just an attempt to grab on to this concept, hoping for a little boost? Actually, there is something more to it, and I’ll unpack that here. The premise of cloud-native storage is simple: its native habitat is a Kubernetes cluster. When we design with the assumption that a technology will exist in Kubernetes, we get to look around and see what functionalities already exist in that system.
On October 1, 2020, the FCC invited comments from the telecommunications industry to ascertain progress on implementing Caller ID Authentication. Verizon’s reply underscored the extensive amount of time and effort its team(s) have put in, yielding substantial progress.
Kubernetes is an open-source platform that is used for automating computer application configuration, scaling, and deployment. In order to understand the importance of Kubernetes, let us take a step back and understand why this platform was introduced in the first place.
Five worthy reads is a regular column on five noteworthy items we’ve discovered while researching trending and timeless topics. In this edition, we’ll learn about hyperscale data centers, including how they function, and the considerations and challenges organization face in deploying them.
With AWS’s announcement that macOS instances are available on Amazon EC2, iOS, macOS, and Safari developers now have the opportunity to move their build and test pipelines to the cloud and take advantage of all that the AWS ecosystem has to offer.
In the context of businesses, the ultimate goal of innovation for technology companies is to drive a profit. This means that even though many software engineering problems can be solved with enough time and budget — just because a business can solve a problem doesn’t mean that they should. Sometimes, even once a team has figured out how to solve an engineering problem, it doesn’t make sense to deploy the solution — because it costs so much to operate.
