Operations | Monitoring | ITSM | DevOps | Cloud

Keeping track of your infrastructure is non-negotiable. Prometheus makes that easier by collecting metrics and alerting you when something’s off. It’s a powerful tool that helps you understand what’s happening under the hood, whether you’re running a small cluster or managing large-scale applications. In this guide, we’ll break down Prometheus functions—what they do, how they work, and why they matter for better observability. Let’s get into it.

Nginx is widely known for its high performance and reliability. However, just like any software running in production, it requires continuous monitoring to ensure smooth operation. Issues such as high latency, unexpected crashes, or overwhelming traffic spikes can lead to performance degradation or even complete outages. Therefore, implementing a robust monitoring strategy is crucial to maintaining the health and stability of your Nginx deployment.

If you’re reading this, chances are you’re already familiar with OpenTelemetry (OTel)—the open-source standard for collecting observability data. But what about OpenTelemetry agents? How do they work, and why do they matter? This guide unpacks everything you need to know about OTel agents—where they fit in your stack, how to set them up, and common pitfalls to watch out for. Let’s get into it.

OpenTelemetry is the go-to open-source standard for observability, but when it comes to tracking frontend performance and user interactions, things get a little tricky. Unlike backend services, browsers introduce challenges like CORS restrictions, asynchronous execution, and limited access to certain telemetry data. This guide covers everything you need to know about using OpenTelemetry in the browser, from setup to best practices, advanced configurations, and real-world debugging techniques.

If you've been working with Elasticsearch for a while, you’ll eventually run into a situation where you need to reindex your data. Maybe you’re changing mappings, upgrading versions, or restructuring your documents. That’s where the Elasticsearch Reindex API comes in. In this guide, we'll walk through everything you need to know about the Reindex API—what it is, how it works, common use cases, performance optimizations, and potential pitfalls. Let’s dive in.

Logging is an integral part of any production-ready Node.js application. Whether you're debugging issues, monitoring application performance, or setting up a centralized logging system, an efficient logger is crucial. Pino is one of the best choices available due to its speed, low overhead, and powerful features. This guide goes beyond the basics, providing an in-depth exploration of how to optimize Pino for your applications, use advanced features, and integrate it seamlessly with other tools.

Modern applications are becoming increasingly complex, and debugging distributed systems can feel like searching for a needle in a haystack. This is where OpenTelemetry (OTel) comes in. If you're using NestJS, integrating OpenTelemetry can provide deep insights into your application's behavior, helping you track performance, troubleshoot issues, and understand service interactions.

Prometheus is one of the most popular open-source monitoring and alerting tools. Setting up Prometheus with Docker Compose can make your monitoring stack easier to deploy and manage if you're running containerized applications. This guide will walk you through everything you need to get Prometheus up and running with Docker Compose, from installation to configuration and setting up basic alerts.

If you've ever deployed a distributed system at scale, you know things break—often in ways you never expected. That’s where Chaos Engineering comes in. But running chaos experiments without robust observability is like debugging blindfolded. This guide will walk you through how observability empowers Chaos Engineering, ensuring that your experiments yield meaningful insights instead of just causing chaos for chaos’ sake.

OpenTelemetry is an open-source observability framework designed to instrument, generate, collect, and export telemetry data, including traces, metrics, and logs. It is vendor-agnostic, allowing developers to send data to multiple backend services like Last9, Prometheus, Datadog, or Jaeger without vendor lock-in. For Next.js applications, OpenTelemetry is particularly useful due to the framework’s hybrid rendering approach.