Operations | Monitoring | ITSM | DevOps | Cloud

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

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.

GitKraken September Video Newsletter (Git Integration for Jira)

🗞️ 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 valuable Git Integration for Jira updates and features soon to come.

Implementing Backstage 1: Getting Started

Backstage is a platform for building developer portals. Originally developed internally at Spotify, it’s now open source and available through GitHub. Backstage allows DevOps teams to create a single-source, centralized web application for sharing and finding software (through the software catalog feature), as well as templates and documentation.

Security in the cloud: Whose responsibility is it?

While the cloud is recognized as more secure than on-premises servers and infrastructures, it does come with the often talked about shared responsibility model. Cloud providers are responsible for security ‘of’ the cloud, while their clients are responsible for security ‘in’ the cloud. It’s ‘differently secure’, rather than the traditionally secure organizations have been used to when working with on-premises environments.

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.