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DevOps

The latest News and Information on DevOps, CI/CD, Automation and related technologies.

Reaping the Benefits of Multi-Cluster Orchestration in Kubernetes

The rise of containerization has precipitated an unprecedented shift in the software development landscape, with Kubernetes emerging as the de facto standard for managing large-scale containerized applications. One of the more nuanced aspects of Kubernetes that is gaining attention is multi-cluster orchestration. This approach to cluster management offers several compelling advantages that reshape how businesses operate and innovate in a cloud-native context.

Better learning from incidents: A guide to incident post-mortem documents

If you’re just starting out in the world of incident response, then you’ve probably come across the phrase “post-mortem” at least once or twice. And if you’re a seasoned incident responder, the phrase probably invokes mixed feelings. Just to clarify, here, we’re talking about post-mortem documents, not meetings. It’s a distinction we have to make since lots of teams use the phrase to refer to the meeting they have after an incident.

Virtual Kubernetes Clusters - Tips and Tricks - Civo Navigate NA 2023

Explore the world of virtual Kubernetes clusters in this comprehensive session from Rich Burroughs and Carl Montanari. Dive deep into Kubernetes multi-tenancy models, understand the power of vcluster, and uncover ten essential tips and tricks to optimize your virtual cluster experience.

Introducing the Datadog Open Source Hub

At Datadog, we have always been deeply involved with open source software—producing it, using it, and contributing to it. Our Agent, tracers, SDKs, and libraries have been open source from the beginning, giving our customers the flexibility to extend our tools for their own needs. The transparency of our open source components also allows them to fully audit the Datadog software that is running on their systems. But our commitment to open source only starts there.

Monitoring Machine Learning

I used to think my job as a developer was done once I trained and deployed the machine learning model. Little did I know that deployment is only the first step! Making sure my tech baby is doing fine in the real world is equally important. Fortunately, this can be done with machine learning monitoring. In this article, we’ll discuss what can go wrong with our machine-learning model after deployment and how to keep it in check.

GitKraken September Video Newsletter (GitKraken Client & GitLens)

🗞️ Extra! Extra! Read – no – SEE all about it! 👀 This month, we switched it up with a fresh video newsletter! 🎬 Our MC, Allison (a.k.a. me, the one writing this description. Hi! 👋 ), is here to guide you through this month's GitKraken Client & GitLens updates, plus fun GitKon announcements, and more.