Logz.io Releases Slack Integration for the Open Source ELK Stack Log Management Platform

More Enterprise Tech Companies Are Using the ELK Stack and Slack to Monitor Their Environments in Production; Logz.io Has Integrated Both Into a Single System


NEW YORK, NY and TEL AVIV, ISRAEL--(Marketwired - February 11, 2016) -  Logz.io, the Predictive ELK (Elasticsearch, Logstash and Kibana) log analytics cloud service company, released today Slack integration for the open-source ELK log analysis stack.

The full documentation on how to implement the integration is here.

Customers can now leverage ELK -- traditionally an offline forensics tool -- to receive notifications of critical operational and security issues in real-time and communicate them through the common channels that enterprises use such as Slack and custom webhooks. With Logz.io, Slack integrations are easy to configure and manage to track any important event.

Logz.io officially launched in October 2015 with an open-source based cloud service that is an alternative to the log management platforms of existing competitors such as Splunk and Sumo Logic, whose products are based on proprietary technologies.

In contrast to creating proprietary software, the Logz.io platform takes the open source ELK, the stack used by companies such as Google, Netflix, Facebook, LinkedIn, and Microsoft, and offers it as a full-featured, enterprise-grade log analytics cloud service coupled with advanced machine-learning techniques.

About Logz.io

Logz.io simplifies log management by offering the ELK Stack, the world's most popular open-source log analytics platform, as a predictive, cloud-based, and enterprise-grade software as a service. Powered by machine-learning algorithms, the platform provides real-time access to insights based on the collaborative knowledge of DevOps professionals around the world. After officially launching in October 2015, Logz.io is already serving hundreds of companies from fifty different countries.

Contact Information:

Samuel Scott
Director of Marcom
Logz.io
samuel@logz.io