What is observIQ?
It is an easy-to-use hosted log management platform that focuses on making log management simple. With one-line agent installation commands, guided remote configuration, and pre-built Sources, it offers a powerful, user-friendly experience that allows you to ship log within minutes. Spend less time configure, more time investigating.
observIQ is a tool in the Log Management category of a tech stack.
MySQL, NGINX, PostgreSQL, MongoDB, and GitLab are some of the popular tools that integrate with observIQ. Here's a list of all 32 tools that integrate with observIQ.
- Log monitoring
- Deploy in minutes
- 40+ plus integrations
- Aggregate logs at scale
observIQ Alternatives & Comparisons
What are some alternatives to observIQ?
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Logstash is a tool for managing events and logs. You can use it to collect logs, parse them, and store them for later use (like, for searching). If you store them in Elasticsearch, you can view and analyze them with Kibana.
It provides diagnostic logging to files, the console, and elsewhere. It is easy to set up, has a clean API, and is portable between recent .NET platforms.
It is intended as a successor to the popular log4j project. It is divided into three modules, logback-core, logback-classic and logback-access. The logback-core module lays the groundwork for the other two modules, logback-classic natively implements the SLF4J API so that you can readily switch back and forth between logback and other logging frameworks and logback-access module integrates with Servlet containers, such as Tomcat and Jetty, to provide HTTP-access log functionality.
It is a simple Logging Facade for Java (SLF4J) serves as a simple facade or abstraction for various logging frameworks allowing the end user to plug in the desired logging framework at deployment time.
It is the acronym for three open source projects: Elasticsearch, Logstash, and Kibana. Elasticsearch is a search and analytics engine. Logstash is a server‑side data processing pipeline that ingests data from multiple sources simultaneously, transforms it, and then sends it to a "stash" like Elasticsearch. Kibana lets users visualize data with charts and graphs in Elasticsearch.
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