Have you ever wanted to try K3s high availability cluster “mode,” and you either did not have the minimum three “spare nodes” or the time required to set up the same amount of VMs? Then you are in for a good treat: meet k3d! If you’re not familiar with k3d, its name gives you a hint to what it’s all about: K3s in Docker.
Kubernetes has become the de-facto standard for deploying microservices and containerized applications. Still, there is a learning curve for a developer to get familiar with Kubernetes concepts and objects, how to write and manage the required YAML files, etc. While there is undoubtedly value in learning these concepts and tasks, I believe there is even greater value in getting your applications deployed faster and spending more time on your application code than on infrastructure-related objects.
In previous blog posts, we’ve talked about the process of setting up vSphere with Tanzu (see our quick start guide) and creating your first Tanzu Kubernetes Cluster (TKC). As a vSphere Administrator, you might be saying to yourself, “This is cool and all, but what’s next? What’s an easy application to deploy?” The easiest target is the standard NGINX Kubernetes deployment, but that’s very basic.
Site Reliability Engineering (SRE) is a hot topic, but what exactly does it entail? And do you have to follow the principles to a T in order to achieve benefits from it? If you’re searching for answers to these common questions, look no further. In this episode of the Cloud & Culture podcast, VMware Tanzu’s Hannah Foxwell explains the what, why, and how of SRE—from key principles (such as SLI, SLO, and error budgets) to real-life examples of enterprise adoption.
This part 2 of a 3-part series on running ELK on Kubernetes with ECK. If you’re just getting started, make sure to checkout Part 1.
A typical modern DevOps pipeline includes eight major stages, and unfortunately, a release bottleneck can appear at any point: These may slow down productivity and limit a company’s ability to progress. This could damage their reputation, especially if a bug fix needs to be immediately deployed into production. This article will cover three key ways using data gathered from your DevOps pipeline can help you find and alleviate bottlenecks in your DevOps pipeline.
Elasticsearch is an open source, distributed document store and search engine that stores and retrieves data structures. As a distributed tool, Elasticsearch is highly scalable and offers advanced search capabilities. All of this adds up to a tool which can support a multitude of critical business needs and use cases. To follow are ten of the key Elasticsearch configurations are the most critical to get right when setting up and running your instance.
When investigating a complex system—or learning about it for the first time—you need to explore metrics, traces, logs, and other kinds of data. But as you navigate across different views of your data in dashboards, alert notifications, flame graphs, and so on, it can be hard to keep track of what you have already seen. When a potential issue comes up and time is tight, the last thing you need is to spend time remembering a crucial graph or finding the right browser tab.
