Datadog, a monitoring service for cloud environments, has added Java support to Datadog Application Performance Monitoring and Distributed Tracing. Datadog APM will now support Java alongside Python, Ruby, and Go – extending functionality and availability to more enterprise users.
Last year, Datadog announced the general availability of Datadog APM & Distributed Tracing, helping software developers troubleshoot code and optimize application performance. Datadog APM supports performance optimization and outage diagnosis to reduce the impact of costly downtime for large-scale cloud environments.
With the Java support added, all Datadog customers can now monitor the health of the code within their Java applications and take advantage of various out-of-the-box integrations with Java frameworks (Spring Boot and Dropwizard), application servers (Tomcat and Jetty), and calls to databases (JDBC, MongoDB, and Cassandra).
Datadog APM also supports OpenTracing, the vendor-neutral open standard for distributed tracing. This would bring application performance monitoring to more enterprise customers that often write their applications in the Java programming language.
“This is a crucial step in bringing full-stack visibility to our largest Java customers,” said Julie Levine, Product Manager, Datadog. “By giving them the ability to monitor their applications alongside the underlying cloud infrastructure within AWS, Azure, and Google Cloud, we are providing a true platform of observability that saves our customers money and time.”
Datadog also recently announced the public beta of its Log Management product following the acquisition of Logmatic.io, a Paris-based log management company. By combining infrastructure metrics, application traces, and log analysis within the same platform, users of the Datadog platform would be able to increase productivity, troubleshoot performance issues within applications, and avoid costly downtime.