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.
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.
How to configure journald.conf to customize journald logging in Linux
What are Apache, GPL and AGPL licenses and why OpenObserve moved from Apache to AGPL
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
Jidu acheived 100% tracing fidelity with OpenObserve by migrating from Elasticsearch to OpenObserve. Read this case study to learn how they did it.
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 and how its approach towards observability could help you build better software and save money on observability costs.