Dec 4, 2019
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By Daniel Berman
Yesterday, we announced the beta release of Logz.io Infrastructure Monitoring — our Grafana-based monitoring solution, and the planned release of a Jaeger-based tracing solution. These additions to our platform complement our ELK-based Log Management product, together constituting what is the world’s only open source-based observability platform for monitoring, troubleshooting and securing distributed cloud workloads.
Logz.io Unveils First-Ever Open Source-Based Cloud Observability Platform Powered by ELK and Grafana
Dec 3, 2019
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By Logz.io
Introduction of Logz.io Infrastructure Monitoring complements Logz.io's leading Log Management solution and Cloud SIEM to enable modern engineering teams
Dec 3, 2019
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By Tomer Levy
Today, I am proud to announce the release of Logz.io Infrastructure Monitoring, a Grafana-based monitoring solution that enables engineers to speed up detection and reduce time to resolution. This new offering extends our Log Management and Cloud Security (Cloud SIEM) products, which together form Logz.io’s new Cloud Observability Platform.
Dec 2, 2019
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By Daniel Berman
We are happy to inform you that we are upgrading our user interface to support Kibana 7 for Logz.io! Kibana 7 offers users a long list of UI and UX enhancements that will make monitoring and troubleshooting your environment a much simpler and nicer experience. These enhancements include a cross-app dark theme, a new time picker, new filtering, a better dashboarding experience, and most importantly – a significant boost in performance. Shall we take a closer look?
Nov 27, 2019
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By Daniel Berman
Grafana is everywhere. Almost every DevOps team out there is currently in the process of creating a proof of concept enabling them to implement Grafana into their stack—if they have not already implemented it, that is. Teams are eager to employ Grafana’s highly effective visualizations and dashboards that monitor and track services’ functionality and performance.
Nov 5, 2019
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By logz.io
Log Patterns uses advanced clustering techniques to automatically analyze millions of log messages in real-time and identify recurring patterns in log data to help engineers streamline investigation and troubleshooting.
Oct 24, 2019
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By logz.io
Watch this webinar to learn best practices for parsing your log data with logstash grok filters. You’ll see some real life examples of how these configurations can add a ton of value.
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