Monitor CouchDB in observIQ
Comprehensive Logs Monitoring for your CouchDB Database
Use observIQ’s Open Source Log Agent to integrate and bring full-stack visibility to your IT architecture with logs. Monitor and analyze the health and performance of CrouchDB Database with observIQ’s powerful and fully configurable log monitoring. The observIQ solutions also come with a full library of pre-built log plugins to support your most critical applications.
Connect CouchDB + observIQ now
Why observIQ for...
CouchDB
observIQ
Easy to maintain
Reduce log collection administration effort, which improves team productivity. The configuration is done through automation-friendly, file-based architecture.
See sourcesBetter results
The observIQ log agent’s performance and stability keep critical signals flowing through any system load.
Learn moreKey Benefits of CouchDB logs capabilities with observIQ’s Open Source Agent
Fast and Simplified Out of the Box Setup
With a quick initial setup for log collection from common infrastructure technologies such as databases, virtualization, and operating system logs, etc., observIQ makes it easy to get started. A full library of pre-built plug-ins for popular applications simplify and automate setup and launch!
Log Agent Performance
The observIQ open source log agent was architected from the ground up with performance in mind. Written in Go and optimized for low resource usage and high throughput, using 10x less CPU and Memory than LogStash or FluentID. Our agent joins the configurability and customizability you expect from FluentD or LogStash with best in class performance.
Enterprise-Level Support for Your Log Agent
observIQ offers comprehensive paid support and professional services. Our support agreements include SLAs for support response times as well as patches and delivery procedures. Plus, you’ll always be informed first of new available updates for the latest functionality. Paid support is available for the observIQ Open Source Log Agent, and included with observIQ Cloud.
50+ operation logs data sources in a single, self-maintaining connection, including:
