KEDA vs HPA: Understanding the Differences in Kubernetes Autoscaling
Kubernetes is great at keeping things running, but it doesn’t automatically know when to run them. That’s where autoscaling comes […]
The complete guide to DevOps for all the software engineers.
Kubernetes is great at keeping things running, but it doesn’t automatically know when to run them. That’s where autoscaling comes […]
Static infrastructure fails dynamic applications. Provisioning for peaks wastes money, while provisioning for averages guarantees crashes during spikes. Kubernetes handles
Most Kubernetes users install a CNI, configure it once, and hope they never have to touch it again. That works
Software engineering has a complexity problem. We unintentionally buried teams under a mountain of cognitive load by insisting “you build
Modern web applications demand more than just good UI or solid server logic; they require developers who understand how all
Kubernetes is the most widely adopted platform for container orchestration, making it a core skill for cloud-native developers and platform
The technology landscape is shifting into an era where AI is embedded into everyday engineering work rather than treated as
Amazon Web Services (AWS) offers a range of cloud-native messaging and event integration services designed to help organizations build decoupled and scalable systems.
Agentic AI in the SDLC refers to autonomous, goal-driven AI agents that operate across planning, coding, testing, deployment, and operations.
Over the last decade, enterprises have automated most core engineering workflows, from integration and testing to deployment and observability. However,
DevOps generates a massive volume of logs, metrics, and events that traditional manual analysis cannot process in real time. AI
Software engineering has a complexity problem. We unintentionally buried teams under a mountain of cognitive load by insisting “you build