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The acronym for three open source projects: Elasticsearch, Logstash, and Kibana
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What is ELK?

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.
ELK is a tool in the Log Management category of a tech stack.

Who uses ELK?

129 companies reportedly use ELK in their tech stacks, including Robinhood, Data Scientist, and Wealthsimple.

413 developers on StackShare have stated that they use ELK.

ELK Integrations

Pros of ELK
Open source

ELK Alternatives & Comparisons

What are some alternatives to ELK?
Datadog is the leading service for cloud-scale monitoring. It is used by IT, operations, and development teams who build and operate applications that run on dynamic or hybrid cloud infrastructure. Start monitoring in minutes with Datadog!
It provides the leading platform for Operational Intelligence. Customers use it to search, monitor, analyze and visualize machine data.
Centralize and aggregate all your log files for 100% visibility. Use our powerful query language to search through terabytes of log data to discover and analyze important information.
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.
Papertrail helps detect, resolve, and avoid infrastructure problems using log messages. Papertrail's practicality comes from our own experience as sysadmins, developers, and entrepreneurs.
See all alternatives

ELK's Followers
530 developers follow ELK to keep up with related blogs and decisions.