Operations | Monitoring | ITSM | DevOps | Cloud

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.

Data is a modern company’s greatest asset, if used effectively. After all, in our always-connected economy, the most valuable business applications are data-driven. Customers expect real-time interactions powered by millions of end-points and massive amounts of data. To remain competitive in the market, organizations are adopting fast data applications to create new business models and transform industries, and Kubernetes is increasing the velocity with which they can be deployed.

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.

Cloud-native applications offer a lot of flexibility and scalability, but to leverage these advantages, we must create and deploy a suitable environment that will enable cloud-native applications to work their magic. Managed services, self-managed services, and bare metal are three primary categories of Kubernetes deployment in a cloud environment.

As an operations engineer (SRE, IT manager, DevOps), you’re always struggling with how to manage technology and data sprawl. Kubernetes is becoming increasingly pervasive and a majority of these deployments will be in Amazon Elastic Kubernetes Service (EKS), Google Kubernetes Engine (GKE), or Azure Kubernetes Service (AKS). Some of you may be on a single cloud while others will have the added burden of managing clusters on multiple Kubernetes cloud services.

Users live in the sunlit world of what they believe to be reality. But, there is, unseen by most, an underworld. A place that is just as real, but not as brightly lit. The Kernel Parameter side (apologies to George Romero). Kernel parameters aren’t really that scary in actuality, but they can be a dark and cobweb-filled corner of the Linux world. Kernel parameters are the means by which we can pass parameters to the Linux (or Unix-like) kernel to control how that it behaves.