We dedicate a lot of space in our blog to the topic of monitoring. That’s because when you’re managing Kubernetes clusters, things can change quickly. It’s important that you have tools to monitor the health and resource metrics of your clusters. In Rancher 2.5, we introduced a new version of our monitoring based on the Prometheus Operator, which provides Kubernetes-native deployment and management of Prometheus and related monitoring components.

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Kubernetes can bring a wide collection of advantages to a development organization. Properly leveraging Kubernetes can greatly improve productivity, empower you to better utilize your cloud spend, improve application stability and reliability, and more. On the flip side, if you are not properly leveraging Kubernetes, your would-be benefits become drawbacks. As a developer, this can become especially frustrating when you are focused on delivering quality code, fast.

You’ve heard that old Chinese proverb that says a journey of a thousand miles begins with a single step. It’s sound advice … except if the journey you’re talking about is the one from the data center to the cloud. With cloud deployment at the center of virtually any digital transformation effort, the journey itself can have a profound impact on the successful outcomes you seek at the destination. So you have to get it right. But what does that actually mean?

Data services—such as caches, messaging queues, and relational databases—are the backbone of applications. And when it comes to relational databases, Postgres is a pretty popular option. Its killer feature is its versatility. Natively and through plugins, Postgres supports a wide variety of data types, formats, and programming languages, which makes it useful for all kinds of applications, including text, geospatial, graph, and more.

Your application’s health depends on the performance of its underlying infrastructure. Unexpectedly heavy processes can deprive your services of the resources they need to run reliably and efficiently, and prevent other workloads from executing. If one of your applications is triggering a high CPU or RSS memory utilization alert, the issue has likely occurred before.

We all know that while Microsoft provides an almost seemingly infinite amount of storage. Compare this to your normal datacentre virtual infrastructure, you often need to do some capacity planning for expected Virtual Machine Compute and Storage way ahead of time. As Microsoft does the capacity planning for you (and everyone else who is using their services), your own Operational Support no longer needs to order disks or more servers to keep up with your business growth and expectations.

VMware chose HAProxy as the default load balancer for Tanzu Kubernetes clusters, which helped streamline load balancing in their Kubernetes platform. VMware has delivered vSphere 7 with Tanzu, its endeavor to embed an enterprise-grade version of Kubernetes inside vSphere, the industry-leading compute virtualization platform.