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.

As AI and ML become more prevalent, administrators can use Site Reliability Engineering (SRE) techniques to manage the ML infrastructure and software.

If you've ever tried to set up OpenTelemetry visualization, you know it can be a bit overwhelming. But don't worry—in this guide, we'll break it all down step by step. Whether you're just getting started or looking to fine-tune your existing setup, this walkthrough will help you get the most out of your telemetry data.

If you're working with search and analytics, you’ve probably heard about OpenSearch—the open-source alternative to Elasticsearch. OpenSearch is a powerful tool, whether you're building a search engine, running log analytics, or implementing full-text search in your applications. And the best part? You can integrate it easily with Python.

Modern application observability is essential for ensuring system performance, diagnosing issues, and optimizing user experiences. OpenTelemetry (Otel) and Grafana serve as two key components in achieving end-to-end visibility. While OpenTelemetry focuses on instrumenting applications to collect telemetry data, Grafana specializes in visualizing this data, making it actionable and insightful.