We recently spoke with Major League Baseball (MLB) executives about their Kubernetes deployment, including what challenges they’ve faced and what lessons they’ve learned — particularly as it relates to Kubernetes monitoring. Currently, MLB has about 70 Kubernetes clusters running across 30 ballparks, most of which are running in GKE but with some in EKS.
Kubernetes use has exploded, and its popularity only continues to accelerate. But Kubernetes has layers upon layers of complexities, so achieving its full benefits can take a lot of resources and time. That’s why at Circonus, we built a turnkey Kubernetes monitoring solution that makes it easier to monitor the health and performance of clusters.
Kubernetes is one of the hottest topics in IT right now, but what exactly is it and where did it come from? As DevOps and Infrastructure-as-Code practices arose and took hold in the IT/OPS community over the past decade, the logical continuation of those ideas was a system for automating the management of the software itself. So Google stepped in and offered its own software as a solution, releasing Kubernetes as open-source in 2014.
We originally built the Metrics Explorer to help customers find and view their metrics within the platform. Once surfaced, metrics can be used to create graphs and set up associated rules and alerts. Despite well-intentioned efforts, customer usage and feedback indicated issues with the Metrics Explorer’s usability. For this reason, we recently embarked on completely refactoring it. We think you’ll enjoy the story — and the outcome.
Since its release 5 years ago, Kubernetes adoption has exploded. It’s easy to understand why. Kubernetes helps organizations significantly ease and speed application development. But Kubernetes can be challenging to work with. Managing a cluster production is difficult, the ecosystem is constantly changing, and best practices are continually evolving. As a result, Kubernetes monitoring is also complicated.
In one of our recent posts, we provided insights on how companies can move from traditional, basic infrastructure monitoring to more advanced monitoring. For many companies, basic monitoring and alerting is just not enough anymore. Staying competitive by deploying new features faster while providing the seamless experiences customers expect requires a more sophisticated monitoring analytics strategy.
The world of DevOps is a constant push and pull. There’s pressure to deploy faster, yet performance is expected to be perfect all of the time. The founders of Circonus lived these expectations and know the struggle all too well. They felt the pain to quickly develop new features, but also understood how hard it is to fix something when it breaks.
After careful design and development with real-life input from our clients and beta testing with major organizations such as Major League Baseball, we announced this past spring the release of our new Kubernetes monitoring solution. Now, we’re excited to share that organizations can sign up for a free, no commitment 45-day trial of our Kubernetes monitoring solution. It’s simple. The solution installs in minutes, and turnkey health and performance dashboards instantly auto-populate.
In the next decade, the world will produce an unfathomable amount of machine data — metrics, measurements, and telemetry data that is emitted from everything from servers to robots and satellites. And the pace of that data generation is increasing exponentially. I wrote in a paper published last year how this data is a virtually untapped source of extraordinary business insights — data so dense and rich it will dwarf traditional business intelligence in terms of its potential value.
