Operations | Monitoring | ITSM | DevOps | Cloud

Route SSH connections through HAProxy using the SSH ProxyCommand feature and SNI. Did you know that you can proxy SSH connections through HAProxy and route based on hostname? The advantage is that you can relay all SSH traffic through one public-facing server instead of needing to grant users direct access to potentially hundreds of internal servers from outside the network.

Service Mesh is an emerging architecture pattern gaining traction today. Along with Kubernetes, Service Mesh can form a powerful platform which addresses the technical requirements that arise in a highly distributed environment typically found on a microservices cluster and/or service infrastructure. A Service Mesh is a dedicated infrastructure layer for facilitating service-to-service communications between microservices.

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.

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.

For complete visibility into the performance of your applications, you need telemetry data—traces, metrics, and logs—that describes activity across your entire stack. But if you’re using multiple monitoring tools, your data can end up in silos, making it difficult to troubleshoot issues that affect your user experience.