Datadog, the essential monitoring platform for modern cloud environments, today announced the public beta of its log management solution. This service is fully integrated with Datadog's existing infrastructure and application performance monitoring offerings, allowing customers to quickly detect, diagnose and resolve complex performance problems that traditionally required highly manual efforts across various tools.

"Log management is an extremely important component of our roadmap to provide customers a unified monitoring experience," said Renaud Boutet, Product Director at Datadog. "Our customers want the ability to quickly correlate infrastructure metrics and application traces with relevant logs for efficient troubleshooting and optimal performance. This level of seamless correlation between different sources of data is completely new, and will help our customers dramatically improve the time to problem resolution."

Highlights:

• Datadog Agent will tail log files and forward streams to the Datadog app
• Existing Datadog integrations will provide logs alongside metrics
• Optimized UX with faceted searches for accelerated troubleshooting & investigations
• Log parsing, Geo IP resolution, URL tokenization, and more performed directly in the cloud with new Processing Pipelines

"We have various Amazon Web Services (AWS) solutions, containers, servers and applications to monitor," said Fabien Jallot, Head of the DevOps at 24 Sèvres. "Infrastructure metrics and logs often work together to tell the full story of what's happening within an application, so we find ourselves continuously jumping from Datadog to another third party log management solution to connect the dots - an integrated solution native to Datadog will be a tremendous gain of productivity."