DevOps

Anomaly Detection = Agile Monitoring

Traditional monitoring techniques are impractical in a DevOps continuous deployment environment. Prelert's 100% self-learning anomaly detection analytics are the only way to keep pace.

Point Anomaly Detective at your operations data, and it automatically tells you what changed when you deploy new software. Now your monitoring technology is just as agile as your development process.

SNAP Interactive: Finding What Changed

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This social networking provider uses a modern, Continuous Deployment process to provide maximum innovation and user delight. But with over 50 production changes a day they are challenged to keep things running smoothly. Anomaly detection analytics take over where thresholds and rules just won't scale. See why they call Prelert + Splunk a 'winning combination.'

 

Keeping Developers Developing

colored_dots_screenshotThis large enterprise has adopted a DevOps approach for their key, customer-facing applications. This means their best and brightest are intimately involved in every production support issue. See how Prelert has helped them slash triage and analysis times so developers can spend more time developing and less time troubleshooting.