Logz.io, an open source
observability platform for modern DevOps teams, announced the release of
Log Patterns, the newest AI capability in the company's AIOps portfolio.
Created to streamline investigation and troubleshooting so engineers can
resolve issues quickly and directly from their Kibana interface, Log Patterns
automatically analyzes millions of log messages in real-time and identifies
recurring patterns. As a result, engineers save time on the tasks of troubleshooting
and root cause analysis, enabling them to devote more time to improving their
products.
Log Patterns is Logz.io's third AIOps feature, joining Cognitive
Insights
and Application Insights, which uses AI to help engineers detect
critical events in applications before they impact business. While engineers
rely heavily on log data for performance diagnostics and root cause analysis,
due to the tremendous volume of machine data produced in modern IT
environments, troubleshooting has become an inefficient, time consuming, and
costly process. Log Patterns solves this issue by using advanced clustering to
dissect indexed log messages into variables and constants to identify recurring
patterns. This enables engineers to improve productivity as well as identify
and resolve issues when they arise. Together, Logz.io's Cognitive Insights,
Application Insights, and Log Patterns provide users with a complete AIOps
toolset for monitoring and troubleshooting, giving engineers full visibility
into their IT environments.
"With the explosion of machine data volume and velocity, gaining
visibility into the performance of distributed cloud applications is a huge
challenge for engineers. Oftentimes, the data produced consists of logs that
are verbose, repetitive and unimportant for investigative work, making it
difficult to identify and resolve issues efficiently," says Logz.io CEO, Tomer
Levy, "Log Patterns is a powerful tool to cut through noise and reduce complex
log data, making it easy for engineers to gain the right insights and
effectively identify issues in their systems."
Built on top of state-of-the-art clustering mechanisms, Logz.io
Log Patterns is scalable, automatic, and Kibana-native. As a result, users can
ship as much data as they need and view log patterns inside Kibana's Discover
page, alongside regular log views. Furthermore, the easy-to-use platform
constantly improves in response to usage patterns, continuously perfecting
existing log patterns while adding new patterns as they recur.
Logz.io provides engineers
with an observability platform, including a Log Analytics application that
consists of a set of advanced analysis tools to make troubleshooting a much
easier and faster process. With this new release, engineers will be able to
sift through millions of log messages in just a few clicks to find an issue's
root cause quickly and easily. As the third feature in the company's AIOps
suite, Logz.io Log Patterns plays a critical role in Logz.io's core mission of
empowering engineers to be more effective by providing them with the open
source monitoring, troubleshooting, and security tools they want to use, with
the scalability, enterprise features and availability required by modern
businesses.