I have spent years fighting the same “battle”: pods running out of memory at 3 AM, or paying for idle resources sitting at 10% utilization. HPA works great when your traffic follows a predictable c...

Chaos engineering validates system resilience by introducing controlled failures. LitmusChaos makes this practice accessible for Kubernetes environments, giving SRE teams the tools to test failure ...

In the ever-evolving landscape of Kubernetes security, runtime protection has become a critical concern for SREs and platform engineers. While we’ve made great strides with admission controllers, n...

Site Reliability Engineers (SREs) often live in the command line, juggling Bash scripts, one-liners, and the occasional Go/Python tool to automate tasks. Yet building complex internal CLI tools or ...

Modern cloud-native development can be a double-edged sword for Site Reliability Engineering (SRE) and platform teams. On one hand, containerization and microservices have improved deployment consi...

From an SRE perspective, the goal is always to reduce operational burden while increasing reliability and observability. Ambient Mesh introduces a new paradigm that aligns with SRE principles by el...

Introduction Modern cloud-native organizations are increasingly adopting Internal Developer Portals (IDPs) to streamline developer experience and platform operations. An IDP serves as a centralize...

Introduction Site Reliability Engineers (SREs) aim to ensure reliability, scalability, and efficiency in managing applications and infrastructure. One of the key challenges in Kubernetes deploymen...

Autoscaling is a fundamental feature of Kubernetes, ensuring that workloads receive the required compute resources dynamically. Traditionally, Kubernetes provides Horizontal Pod Autoscaler (HPA) an...

Kubernetes revolutionizes how applications are deployed and scaled, but managing complex workloads often demands domain-specific automation. This is where Operators shine. Operators encapsulate ope...