Continuous Verification

Automate Release Testing and Rollbacks using AI/ML

Automatic Release Testing Through Machine Learning

Don’t release code and pray that the app stays up. Use machine learning to know the real impact of all your deployments.

Smart Rollbacks

When Harness senses a degradation in performance or quality, we can roll your application back to the previous working version — in seconds.

Auto-Verify Performance

Harness integrates with existing monitoring APM and observability tools (e.g. AppDynamics, New Relic, Datadog) to verify the performance of your deployments.

 Auto-Verify Quality

Harness uses event data from your logging tools (e.g. Splunk, Sumo Logic, ELK) to look for anomalous events and quality regressions.

24/7 Service Guard

Harness will continuously monitor the performance, quality and health of your apps across all your monitoring, observability and log tools, 24/7.

Auto-Verify Custom Metrics

Use the Harness API to configure your own time-series metrics so you can verify deployments from any source.



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"We reduced deployment effort by 16 hours per day, saving $290,000 a year."
"By implementing automation with Harness, we eliminated the need to incur $500,000 in DevOps costs."
"We achieved a 10x return on investment within first few months, while reducing deployment time from 2 days to 2 hours."

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"We reduced deployment effort by 16 hours per day, saving $290,000 a year."
"By implementing automation with Harness, we eliminated the need to incur $500,000 in DevOps costs."
"We achieved a 10x return on investment within first few months, while reducing deployment time from 2 days to 2 hours."

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Our goal is to help you deliver applications to production safely, and reliably with effective release management tools. Fill out the form below and we’ll get back to you quickly.

"We reduced deployment effort by 16 hours per day, saving $290,000 a year."
"By implementing automation with Harness, we eliminated the need to incur $500,000 in DevOps costs."
"We achieved a 10x return on investment within first few months, while reducing deployment time from 2 days to 2 hours."

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