Operations | Monitoring | ITSM | DevOps | Cloud

Single-node deployments of Kubernetes are more common than what one would expect. In some scenarios, single-node clusters make much more sense. For development purposes or testing, there’s no need to deploy a full-blown production-grade cluster. Single-node deployments are also handy for appliances and IoT applications since they have a much smaller footprint. Enter MicroK8s, a tool by Canonical that enables you to easily deploy a lightweight single-node cluster in your local environment.

Big data, AI, machine learning, and numerous others are all buzzwords we seem to throw around lightly in recent years. Even though they are hugely different from one another, they all have one thing in common. Data! Huge amounts of data that need to be managed. The downside of that is that the more data you have the more of a headache it is to store, query, and make sense of.

Kubernetes 1.17 is about to be released! This short-cycle release is focused on small improvements and house cleaning. There are implementation optimizations all over the place, new features like the promising topology aware routing, and improvements to the dual-stack support. Here is the list of what’s new in Kubernetes 1.17.

The last fifteen years have seen huge increases in developer productivity for several reasons, including the arrival of open source into the mainstream and the ability to better emulate target environments. In addition, the process of resetting a development environment back to the last known stable version has been vastly improved by Vagrant and then Docker.

Having completed a series of twelve Lighthouse Roadshow events across Europe and North America over the past six months, I’ve had time to reflect on what I’ve learnt about the rapid growth of the Kubernetes ecosystem, the importance of community and my personal development.

Yesterday, we announced the beta release of Logz.io Infrastructure Monitoring — our Grafana-based monitoring solution, and the planned release of a Jaeger-based tracing solution. These additions to our platform complement our ELK-based Log Management product, together constituting what is the world’s only open source-based observability platform for monitoring, troubleshooting and securing distributed cloud workloads.