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Protect Every Rollout
Release monitoring detects the impact of each feature on system performance and user behavior, starting with the earliest stage of a gradual rollout. With detection and triage done at the flag level, you can ship more often and with greater confidence.
Say goodbye to stressful incident channels!
How Release Monitoring Works
It's as easy as 1-2-3
Release to any subset of your population using percentage-based targeting
Performance and behavioral metrics automatically connect to monitor your release
Be alerted the moment there's a notable impact, good or bad
Take instant action: "kill" the feature or accelerate your gradual release
In progressive delivery, most traditional monitoring tools can’t detect a problem-causing feature when it’s rolled out to just 5% of users. And, none can determine the cause and location. Only Harness picks up on feature-related issues right away.
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Connect to the data that matters
Our SDK Suite for Android, iOS, and web automatically captures performance impact caused by your features with no integration work necessary. All you have to do is create an active flag in production and do a percentage release.
Need to track your own metrics? Not a problem. The Harness patented attribution engine connects to the data you care about in a few simple integration steps. You can even import offline data in batches. Define how those events translate into metrics once and let Harness handle the rest.
Get Automatic Alerts
Take Instant Action
Eliminate Waste
Teams that want to move fast rely upon automation to “do the right thing” without adding toil. Less time spent on training and compliance frees up more time to build value.
Automated guardrail metric monitoring ensures that a significant impact (good or bad) to your most valued metrics will be detected for every flag, while requiring no effort at all from each flag owner.
Flag owners can extend that same automatic detection of significant changes to other metrics by marking any metric as “Key” for their flag.
Instant triage allows the right team to focus immediately on resolution. Without the need for a new deployment, a problematic change can be deactivated in less than 5 seconds, a dramatically shorter mean time to recovery (MTTR) than a rollback or hotfix.
With less time lost to performing triage, planning and implementing recovery, and waiting for rollbacks or hotfixes to complete, the entire organization gets back more time to get ship done.
Learn to ship more and break nothing with this best practice strategy.
“Previously, we'd see a 20%-40% increase in support cases, issues & questions during the first 2 weeks of a code release. With Split, that's been basically minimized to no incidents. Support costs have been drastically reduced.”
