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Catch regressions in minutes, not post-mortems.
GreenSlope watches every deploy, correlates errors with the commit that caused them, and writes the first draft of your incident response, so engineers keep shipping and on-call stays quiet.
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Checkout p95 elevated on eu-west-2
14:32:06 UTC · 12mp95 latency
error rate
throughput
Root-cause agent · 0% confidence
Latency regressed at 14:19 UTC, 2 min after deploy a7f3c9d to payment-service. Introduces an uncached call to stripe.PaymentIntents.retrieve inside the cart-total loop. Suggested fix: revert or add Redis cache.
Timeline
Last 15 minutes · UTC
- 14:17:42Deploy payment-service a7f3c9d by m.chenDEPLOY
- 14:18:30Traffic shifted 25% → new revisionROLLOUT
- 14:19:51p95 latency breaches SLO (800ms)TRIGGER
- 14:22:14PagerDuty fired · routed to #checkout-oncallALERT
- 14:32:06Root-cause agent completed · 94% confidenceAI
Live · DESIGN PREVIEW
Where users are hitting issues, right now.
Each pulse is a real user running into an error somewhere in the world. The map is illustrative; we'll wire it up to live telemetry once the design lands.
Built for fast-moving engineering teams
Three jobs done well, not thirty done badly.
Deploy-aware error tracking
Every exception is tagged with the commit, author, and feature flag that introduced it. The diff that broke production is one click away; no archaeology across Git blame and log files.
AI root-cause agent
When latency or error rates spike, the agent traces through your recent deploys, correlates with metric anomalies, and opens an incident with a proposed fix. Accepts it, reverts it, or routes it to the right team.
Incident loop in Slack
Runs the scribe, timeline, responder coordination, and postmortem draft entirely in Slack. Your engineers stay in the tools they already use instead of switching to a standalone incident console during the worst moments.
Every error, tied to the commit that caused it.
How it works
Find the diff, not the needle.
We ingest your deploy events from GitHub Actions, Vercel, Argo, or a simple webhook, then fingerprint every exception, trace, and log line back to the commit SHA that produced it. The moment an error regresses, the suspect diff is pinned to the alert.
Median detection
3 min 12 s
False-positive rate
< 2%
Supported runtimes
0
Deploy timeline · payment-service
last 24h
| Time | p95 latency (ms) | Event |
|---|---|---|
| 09:00 | 190 | |
| 09:30 | 180 | Deploy |
| 10:00 | 175 | |
| 10:30 | 185 | |
| 11:00 | 180 | Deploy |
| 11:30 | 178 | |
| 12:00 | 182 | |
| 12:30 | 188 | Deploy |
| 13:00 | 192 | |
| 13:30 | 195 | |
| 14:00 | 198 | Deploy a7f3c9d (regression) |
| 14:15 | 245 | |
| 14:30 | 540 | |
| 14:45 | 980 | SLO breach |
| 15:00 | 1240 | SLO breach |
| 15:30 | 1320 | SLO breach |
Root-cause agent
Writes the first draft so your engineer can approve, not investigate.
The agent walks your traces, metrics, and deploy timeline the way a senior engineer would. It produces a plain-English explanation, a ranked list of suspects, and a suggested fix, usually in under 45 seconds, well before the second alert fires.
Agreement w/ on-call
0%
Time to first draft
0 s
Auto-suggested
When safe
Agent trace · INC-4182
42s elapsed
- 00:02Pulled last 15m of traces8,412 spans
- 00:07Clustered by latency anomaly3 clusters · 1 significant
- 00:14Correlated with deploy windowdeploy a7f3c9d matches
- 00:22Read diff · payment-service+1 uncached API call
- 00:31Simulated impact+412% p95, consistent
- 00:42Proposed fixRevert or add Redis cache
Incident loop in chat
The console is a channel. The postmortem writes itself.
When a SEV opens, GreenSlope spins up a channel, assigns Incident Commander and Scribe, and summarises every action into a running timeline. After resolve, it drafts a postmortem in your format: causes, timeline, impact, next actions. Ready for edit, not for writing from scratch.
Avg. postmortem draft
4 min
Channels supported
Slack · Teams
Roles automated
IC · Scribe · Comms
Preview how GreenSlope looks in your stack.
inc-4182-checkout-p95
SEV-2 · Checkout p95 on eu-west-2- GSGreenSlopeAPP14:22
SEV-2 opened: Checkout p95 elevated on eu-west-2
Auto-assigned roles: IC @m.chen · Scribe @s.patel · Comms @j.ito
- MCMarcus Chen14:23
Ack. Looking at payment-service deploy from ~5 min ago.
- GSGreenSlopeAPP14:24
Root-cause theory · 94% confidence
Deploy
a7f3c9dadded an uncachedstripe.PaymentIntents.retrieveinside the cart-total loop. - SPSarah Patel14:26
Approved. Rolling back a7f3c9d via Argo now.
- GSGreenSlopeAPP14:29
Ship · Observe · Respond · Learn.
Ship
Deploy events land in GreenSlope via GitHub, Vercel, Argo, or webhook.
Observe
Errors, traces, and metrics fingerprint back to the exact commit.
Respond
The agent proposes a cause and fix. On-call approves, reverts, or investigates.
Learn
A postmortem draft is in your channel within minutes of resolve.
"We cut mean-time-to-detect from 18 minutes to under four, and our on-call rotation stopped being the reason people leave the team."
Priya Raghavan · VP Engineering, Harbourline Payments · ~240 engineers
MTTD reduction
−0%
vs. pre-GreenSlope baseline
P1 incidents
−0%
quarter over quarter
Postmortems on time
0%
up from 31%
On-call pages / week
0.0
down from 11.4
Get started
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