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A couple of days ago, Elastic announced that it will change the licensing of Elasticsearch and Kibana as of the 7.11 release to a proprietary dual license (under the SSPL license) and away from the open-source Apache-2.0 license. This move has caused extensive turmoil and frustration in the open-source community, especially with organizations that rely on Elasticsearch. Let me start with the end i
If you have worked with Elasticsearch (whether as part of the ELK Stack or not), I’m sure you know how awesome of a product it is. But the problem is that it can go from awesome to frustrating in less than a minute. Really, really frustrating. That’s why we at log analytics platform Logz.io have compiled a cheat sheet of API calls to solve the problems that we have frequently encountered among our
#Note: Elastic recently announced it would implement closed-source licensing for new versions of Elasticsearch and Kibana beyond Version 7.9. For more details, read our CEO Tomer Levy’s comments on Truly Doubling Down on Open Source. We live in a world of big data, where even small-sized IT environments are generating vast amounts of data. Once an organization has figured out how to tap into the v
The unsung heroes of log analysis are the log collectors. They are the hard-working daemons that run on servers to pull server metrics, parse loogs, and transport them to systems like Elasticsearch or PostgreSQL. While visualization tools like Kibana or re:dash bask in the glory, log collectors’s routing making it all possible. Here, we will pit the two of the most popular data collectors in the o
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