know us
introduction to ELK
getting to
use us
get started with elasticsearch
scale us
configuring for scale
introduction to ELK
get started with elasticsearch
configuring for scale
Bloomberg crunches 1.5B log lines per day for better operational visibility.
View Case StudyThe Guardian analyzes how 5M users interact with news — all in real-time.
View Case StudyGitHub developers search 8M code repositories on the world's largest code host.
View Case StudyBy combining the massively popular open source products, Elasticsearch, Logstash and Kibana, we have created an end-to-end stack that delivers actionable insights in real-time. Built and supported by the engineers behind each of these open source projects, the Elasticsearch ELK stack makes searching and analyzing data — even log files — easier than ever before. Best of all: get up, get running, and get insights in days, not months. With our support subscriptions, deploy even faster.
Want to get full transparency into the state of your deployment and manage your clusters towards optimal health? Marvel instantly provides much-needed visibility into a deployment, both in real time and historically, making it simple to understand the root cause of any issue with your Elasticsearch clusters. Free during development.
With our Support Subscription packages, you can sleep better at night knowing you have a dedicated support lead and access to the engineers that built the Elasticsearch, Logstash & Kibana code. We provide hot fixes and emergency patches to keep mission-critical applications up and running and can help you implement best practices within your production environments. For organizations that aren’t in production yet, we have a Development Support subscription to help you move fast during the development phase. We also offer training to help you reliably analyze, understand and solve common problems on your own.
The Elasticsearch ELK stack has been deployed as mission critical infrastructure for organizations in diverse markets such as e-commerce, health care, journalism and social media, with use cases in data storage, full-text search, log analysis and many more.
