Operations | Monitoring | ITSM | DevOps | Cloud

Machine Learning (ML) for Root Cause Analysis (RCA) is the state-of-the-art application of algorithms and statistical models to identify the underlying reasons for issues within a system or process. Rather than relying solely on human intervention or time-consuming manual investigations, ML automates and enhances the process of identifying the root cause.

Knowing what issues to hit the snooze button on, or drop everything and push a hotfix for is a common developer dilemma. Similarly to what was discussed in Sleep More; Triage Faster with Sentry, we’ve been collecting and iterating on customer feedback for ways to reduce issue noise and surface high-priority issues faster.

The BindPlane Agent is a flexible tool that can be run as an agent, an aggregator, or both. As an agent the collector will be running on the same host it's collecting telemetry from, while an aggregator will collect telemetry from other agents and forward the data on to their final destination. Here are a few of the reasons you might want to consider inserting Aggregators into your pipelines: Today we will examine these reasons, and some possible architectures for implementing aggregators.

Ansible is a configuration management tool that helps you automatically deploy, manage, and configure software on your hosts. By turning manual workflows into automated processes, you can quicken your deployment lifecycle and ensure that all hosts are equipped with the proper configurations and tools. The Datadog collection is now available in both Ansible Galaxy and Ansible Automation Hub.