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Monitoring is a critical part of modern DevOps infrastructure. In this blog, we will understand the architecture shown in the diagram above and how Prometheus collects system metrics from multiple nodes using Node Exporter. The diagram shows: Three N...

System Architecture Overview: Three-tier distributed system using separate VMs for application, monitoring, and logging - mimicking production infrastructure. Why This Architecture: Separation of Concerns: Each VM has a dedicated role (app/monitori...

At some point, logs alone stop being enough. You start seeing short spikes in CPU, random latency jumps, or brief outages that don’t leave a clear trace in the logs. That’s where real monitoring pays off: numbers, charts, history, and alerts. This gu...

Modern DevOps practices demand automation, scalability, and observability. In this blog, we walk through the complete lifecycle of deploying a Yii2 PHP application on AWS using a full-fledged DevOps toolchain, including Docker Swarm for orchestration...

Introduction In today's cloud-native world, robust monitoring is critical for maintaining reliable systems. This guide walks you through implementing a comprehensive monitoring solution using industry-standard open-source tools. Our stack includes Pr...

We need to understand the importance of observability tools that we use in DevOps, mostly to immediately see if any potential risks through visual representation. What is Observability? Observability is the practice of monitoring and understanding th...

Grafana, paired with Prometheus and Node Exporter, is a powerful monitoring stack for system and application metrics. Prometheus collects metrics from Node Exporter, which provides system stats like CPU, memory, and disk usage. Grafana connects to Pr...
