Learn how to implement effective Kubernetes observability with metrics, logs, and traces to monitor and optimize your clusters at scale.

Looking to optimize your Kubernetes architecture? While the word “Kubernetes” translates to “helmsman” (i.e., someone who steers a ship), Kubernetes ultimately functions more like an orchestra conductor than a ship captain. Kubernetes (also known as K8s) simplifies the orchestrating containers for engineers. This frees engineering up to focus on innovation, reduce time to market, and optimize cloud spend.

As businesses scale, managing infrastructure becomes increasingly complex and distributed, leading to challenges in consistency, performance, and security. Manual configurations and outdated practices can no longer meet the demands of today’s highly competitive businesses. To tackle these issues, adopting a phased approach; Day 0, Day 1, and Day 2; provides a practical roadmap for scaling infrastructure automation effectively.

We're excited to announce a significant enhancement to Karpenter, an intelligent Kubernetes autoscaling solution that automatically optimizes your infrastructure costs and performance. Since integrating Karpenter six months ago, it has helped our users automatically provision the right AWS instances for their workloads.

We all know that keeping a server clock "on time" is an ongoing problem that computer scientists have wrestled with for decades. Nowadays, most servers keep time using a quartz crystal oscillator that's powered by a CMOS battery. The crystal vibrates at a very precise frequency and that's how it maintains accuracy (cool right). Events like rebooting and power loss can cause the server to abandon its primary clock source and fall back to an OS-level timekeeping system.