Tag: observability

There are times when you would like to filter logs at source. This blog post shows how to do that when capturing logs using otel-collector.

Enhance your Kubernetes observability using OpenTelemetry and Prometheus. TargetAllocator optimizes target discovery, ensuring reliable monitoring in dynamic settings.

Learn everything about Windows IIS logging, from setup and configuration to log collection and parsing. Enhance your understanding and improve your IIS log management with step-by-step instructions and practical examples.

Learn how to monitor Nginx logs in real-time with this step-by-step guide, covering essential techniques for tracking logs, metrics, and performance insights. Discover best practices to optimize Nginx performance, troubleshoot issues faster, and ensure high availability by gaining actionable visibility into your web server’s health.

Discover the essential guide to Jaeger and learn how distributed tracing can elevate your modern applications. Ideal for DevOps professionals and developers, this guide unlocks insights for better performance, troubleshooting, and system optimization.

Discover the latest release of OpenObserve, version 0.13.1-rc1! Enjoy faster search speeds, advanced dashboard features, enhanced alerting with multiple time range and VRL support, and optimized performance. Experience next-level observability with these powerful updates and more in OpenObserve 0.13.1-rc1.

Unlock real-time insights for DevOps with efficient Kubernetes log streaming. Discover how to streamline logging and enhance observability for optimized performance and rapid troubleshooting in Kubernetes environments.

This blog guides you through effective Nginx log management and analysis using OpenObserve and Vector, providing insights on enhancing observability and streamlining your logging process.

Learn how to create effective monitoring dashboards with OpenObserve. This guide covers installation, sample data setup, and dashboard creation, highlighting key features like customizable panels and dynamic filtering for enhanced application performance monitoring.

This blog helps you in getting started with understanding migration from ELK to OpenObserve Streamlining Log Management for Better Insights.

journald and syslog are two popular logging systems used in Linux environments. While they share some similarities, they have distinct differences in their design, functionality, and use cases.

What is Journald, what is it's log file location, how to do log rotation for it. Also learn how OpenObserve uses otel-collector to provide centralized logging for Journald.

This blog helps you in getting started with monitoring FastAPI python application with OpenTelemetry and OpenObserve.

This blog explores how OpenTelemetry streamlines log collection and management for modern applications. Learn how to integrate OpenTelemetry, auto-instrument logs, and optimize performance, while unifying logs, traces, and metrics for better observability.

What are the differences between OpenObserve and grafana

Learn how to send Pino logs to OpenObserve using the @openobserve/pino-openobserve npm library. This comprehensive guide provides step-by-step instructions, including setting up the project, configuring OpenObserve integration, and observing logs in OpenObserve.

We delves into our strategic shift from using Plotly to adopting Apache ECharts for our data visualization needs. It explores the reasons behind this decision, the comparative strengths and weaknesses of both tools, and the impact of this change on our user experience and technical operations

Standup AI team describes, how to setup OpenObserve on Azure AKS with postgres as metastore.

Jidu acheived 100% tracing fidelity with OpenObserve by migrating from Elasticsearch to OpenObserve. Read this case study to learn how they did it.

There are times when you would like to filter logs at source. This blog post shows how to do that when capturing logs using otel-collector.

OpenObserve is an open source, cloud native open source observability platform that provides ~140x (YMMV. Could be higher or lower based on data entropy) lower storage costs compared to Elasticsearch. Use cases include real-life log data, significantly reduces operational costs, and improves ease of use. It can scale to petabytes of data, is highly performant, and allows you to sleep better at night 😴. If you are looking for an observability tool for logs, metrics, and traces, take a look at OpenObserve...