Operations | Monitoring | ITSM | DevOps | Cloud

As you might be aware, each team has its own unique workflow based on the project type, size of the company, team preferences, and a number of other factors. The larger the team, the more difficult it is to keep things under control: disputes become more regular, delivery deadlines may postpone, priorities always change - the list may go on and on. Adapting Git is the first step in resolving these challenges, as it can be used in almost any workflow.

Software development and the DevOps lifecycle now requires continuous integration and delivery, also referred to as CI/CD. To help users automate the steps between a developer checking in code and releasing that code into production, open source CI/CD solutions are created.

Kubernetes (K8s) packs a ton of benefits as a container orchestration platform. For instance, K8s is big on automation. This includes automating workload discovery, self-healing, and scaling containerized applications. Yet, Kubernetes isn't always production-ready after a few tweaks. This guide shares crucial Kubernetes best practices you'll want to start using immediately to improve your K8s security, performance, and costs. Let’s get to it!

The KubeCon event is a major cloud-native gathering thousands of people and hundreds of vendors for 3 days. Technology enthusiasts and adopters from leading cloud-native and open-source communities gather and discuss innovative ideas at KubeCon. It provides a forum where you can exchange relevant information and insights on the latest trends in Kubernetes and the container world.

Kubecon 2022 just concluded with plenty of exciting announcements, including our new open-source project, Helm-Dashboard, but we’ve got some more news to share on top of that.

Google Kubernetes Engine (GKE) is a managed Kubernetes service that enables users to deploy and orchestrate containerized applications on Google’s infrastructure. Datadog’s GKE integration, when paired with our Kubernetes integration, has always provided deep visibility into the health and performance of your clusters at the node, pod, container, and application levels.

Containers have been the buzz among developers in recent years with the adoption of cloud-native orchestration tools like Kubernetes and DevOps workflows centered around containers. At the same time, virtual machines (VMs) still power many enterprise workloads, whether they’re running in a public cloud provider like Azure or an on-premises data center running VMware. In one of my early jobs, we built a private cloud—in 2012. This was a ground-breaking project at the time.