Running a Kubernetes cluster isn’t easy. With all the benefits come complexities and unknowns. In order to truly understand your Kubernetes cluster and all the resources running inside, you need access to the treasure trove of telemetry that Kubernetes provides. With the right tools, you can get access to all the events, logs, and metrics of all the nodes, pods, containers, etc. running in your cluster. So which tool should you choose?
In modern software development, distributed systems have become increasingly common. As systems grow more complex and distributed, it can be challenging to understand how requests or messages move through the system and where bottlenecks may occur. This is where distributed tracing comes in. Distributed tracing is a technique that allows developers and operators to monitor and understand the behavior of complex systems.
Rising container usage has fueled a growing reliance on container orchestration systems such as Kubernetes, EKS, and ECS. As organizations increasingly opt to run these systems in the cloud, their cloud spend tends not only to grow but also to become more opaque due to the dynamic complexity of these environments. Typically, various services, teams, and products share cluster resources, and as nodes are added and removed, those resources continuously shift.
As the UK’s edge infrastructure provider, we’ve launched platformEDGE™ — a next-generation platform that will enable regional businesses across the UK to harness the opportunity of digital transformation. PlatformEDGE is a UK-wide integrated infrastructure that enables scalable, high-performance, low-latency edge application delivery.
A comprehensive guide on understanding high cardinality Prometheus metrics, proven ways to find high cardinality metrics and manage them.