Cloud and DevOps

Observability and Monitoring for Cloud Apps Observability helps teams understand how a cloud app behaves under real load. It rests on three pillars: metrics, traces, and logs. These data streams tie together to reveal how requests travel through services, where bottlenecks appear, and where failures occur. In a cloud environment, components can include containers, functions, databases, and third‑party APIs, so visibility must span multiple layers and regions. A practical approach starts with goals. Focus on user experience: latency, error rate, and availability. Instrumentation should begin with critical paths and slowly expand. Collect standard metrics like request rate, p95 latency, and error percentage. Add traces to follow a user journey across services, and structured logs to capture context for incidents. Tie data together with correlation IDs or trace IDs so you can see a single request as it moves through systems. ...

Virtualization vs Containers: How They Change IT Landscapes Virtualization and containers are two popular ways to run software on hardware. They address different needs, yet many teams use both. Virtualization creates separate virtual machines with their own operating systems. Containers isolate apps at the process level and share the host OS, which makes them lighter and faster to start. Understanding their strengths helps you pick the right tool for each task. ...