Error tracking, deployment pipelines, and performance metrics — unified. No tab-switching, no context collapse, no 2 AM guesswork.
Median response time across 380k daily deployments. Not average — p99. Because the tail is where incidents hide, and we instrument every percentile so you see what your SLA actually promises.
Measured across 14 global regions · Updated every 500msProduction pushes processed yesterday alone. Each one tracked through build → test → canary → prod with full rollback capability and automatic incident correlation if error rates spike post-deploy.
Across 6,200 active teams · 99.97% success rateThree nines and a nine. Not a marketing promise — a contractual commitment backed by automatic credits. When we go down, you get money back, not a status page apology.
Verified by independent audit · Last incident: 47 days agoEverything your stack
needs to ship.
Replace Datadog + PagerDuty + CircleCI + Sentry with a single pane of glass. Priced per seat, not per event.
Error Tracking
Stack traces in context
Errors grouped by fingerprint, not timestamp. See the exact deployment that introduced a regression, with blame diff and rollback in one click.
Deployment Pipelines
Build → Test → Prod
Metrics & APM
Every percentile, every service
Structured Logs
Search in milliseconds
Incident Alerts
PagerDuty-level intelligence
Engineers who ship at 2 AM
"We cut our mean time to resolution from 22 minutes to 47 seconds. The deployment correlation alone saved us three all-nighters in the first month."
"I manage 140 microservices across staging and prod. Before Deploy, I had six dashboards open and still felt blind. Now it's one terminal and a browser tab."
"As a CTO at a Series A, I can't afford dedicated SRE headcount. Deploy gives my two backend engineers the observability surface of a 20-person ops team."
One command.
Full observability.
The CLI auto-detects your stack. No YAML config, no SDK instrumentation, no email required. Paste it into the terminal you already have open.