An AI Plugin built for Engineering at Scale.
Vörr connects your code, cloud, deployments, monitoring, incidents, and other engineering tools, allowing AI to answer questions using the reality of your systems instead of relying on prompts, assumptions, or incomplete context.
Let your AI have the complete picture.
Vörr sits between your AI assistant and your engineering systems, continuously collecting and connecting the context needed to understand how your applications actually work.
ClaudeconnectedPOST /api/v1/orders/checkout latency jumped right after the new code was pushed — can you check Grafana and the latest commits and find why?Yes — I checked Grafana, the latest deploy, and the commits pushed before the spike.
After the 11:42 AM deploy, p95 on POST /api/v1/orders/checkout rose 420 ms → 2.8 s within ~5 min.
Cause is commit 9f3a21c — add coupon validation before order creation: it moved coupon checks into the checkout flow, so pricing is now called once per cart item instead of once per order. For 8–12-item carts that's a burst of sequential GET /pricing/validate-coupon calls.
Root cause
Coupon validation runs sequentially per item instead of one batched call for the whole cart.
Where
services/checkout/src/checkout.service.ts → validateCouponForItems(cart.items)
Fix
Send the full cart, validate the coupon once, return the final discount — instead of looping per item. That brings checkout back near baseline.
✓ verified · Grafana · Git · checkout-api
Reads from the tools you already run (30+ Connectors)
DatadogSentry
OpenTelemetryJenkins
JaegerSigNoz
Prometheus
Grafana
Loki
Tempo
New Relic
Nagios
BugSnag
VictoriaMetrics
Grafana Mimir
Thanos
Elasticsearch
Splunk
Dynatrace
GrayLog
CircleCI
ArgoCD
Kibana
Uptime Kuma
Harbor
Drone CI
Flux CD
SonarQube
Alertmanager
Nexus Repository
BuildkiteDatadogSentryOpenTelemetryJenkinsJaegerSigNozPrometheusGrafanaLokiTempoNew RelicNagiosBugSnagVictoriaMetricsGrafana MimirThanosElasticsearchSplunkDynatraceGrayLogCircleCIArgoCDKibanaUptime KumaHarborDrone CIFlux CDSonarQubeAlertmanagerNexus RepositoryBuildkiteDon't Confuse Your AI with 1000+ MCP Tools. Less tools is less Hallucination.
The tools live at GenAI's end. Same question, same sources — the only difference is what GenAI has to choose from.
Add Context. Add Confidence – Get The Complete Picture.
api.js, and the related config file. Can you check these and tell me what exactly is causing the error?api.js— but I'm limited to these snippets. The config references env vars I can't resolve, and I don't have the full stack trace or the requests that triggered each error, so I can't pin the exact line or rule out a DB timeout vs. a null value vs. a bad config. My best guess is a missing credential in the config or an unhandled rejection in a handler. To be sure, you'd need to line the Sentry events up with the actual deploy and the live config — which I can't see from here.POST /api/orders/checkout — Sentry logged 214 events in 3h, every one identical: TypeError: cannot read 'id' of undefined at api.js:142 in createOrder().Root cause — session.user is undefined. The auth middleware was dropped from this route in PR #391("simplify checkout flow", merged 4h ago), so the session never gets populated.GitHub — the diff removes requireAuth from routes/orders.ts:23; the 500s start at the exact deploy timestamp.Fix: re-add requireAuth on the /checkout route, or guard session.user before api.js:142.worker_connections or upstream keepalive), a small DB connection pool, or blocking I/O downstream. But I only have the access log and nginx.confyou pasted — I can't see your app's pool settings, DB metrics, or thread state under load, so I can't tell which limit you're actually hitting. You'd have to check those yourself while reproducing the load.payments-api pool is capped at 20 (db/pool.ts:14), and Datadog shows p95 on /api/orders jumping 180 ms → 2.7 s the moment active DB connections hit 20/20 and requests start queuing.Nginx is fine — worker_connections 1024, only ~12% used at peak, so it isn't the limiter.Postgres — max_connections is 100, of which other services already hold ~40, leaving room to grow the pool safely.Fix: raise the pool max (start at 50) and add a queue timeout in db/pool.ts:14, then re-run the load test.CrashLoopBackOff. I'm sharing the pod error logs below. Can you check the logs, identify why the pod is failing, and give me the exact steps to fix it?CrashLoopBackOff just means the container keeps failing and restarting — the real cause is the exit reason, which this log doesn't show. Killed with no message could be an OOM kill, a failed liveness probe, or the process receiving a signal; I can't tell which from the snippet alone. I also can't see the resource limits, the deployment manifest, or recent changes. You'd need to run kubectl describe pod (check Last State / Reason — e.g. OOMKilled vs Error), kubectl logs --previous, and review the probe and limit config — none of which I can do against your cluster from here.payments-worker-7c9f is being OOMKilled. kubectl describe shows Last State: Terminated, Reason: OOMKilled, Exit Code 137 — it's crashed 9 times in 20 min.Root cause — its memory limit is 256Mi (payments-worker.yaml:38), but the batch job added in PR #402 loads the full invoice set into memory and peaks at ~410Mi.Jenkins — that change deployed 35 min ago, exactly when the crashes began.Fix: raise the limit to 512Mi at payments-worker.yaml:38, or stream the invoices in batches in worker/invoices.ts:60 instead of loading them all at once. Claude
ChatGPT
Codex Claude Code
CursorOne context layer. Priced to scale.
Usage-based pricing for the Vörr Cloud context layer — or run it fully self-hosted with BYOC. No hidden add-ons.
Every Cloud plan includes:Cloud Mapper + all connectors · one live graph across AWS, GCP & Azure · read-only · works with your Claude & ChatGPT accounts. Billed monthly.
- 3,000 tool callsper day
- 1 cloud account
- 200 resource instances
- 10,000 tool callsper day
- 3 cloud accounts
- 800 resource instances
- 30,000 tool callsper day
- 10 cloud accounts
- 3,000 resource instances
- Unlimited tool calls
- Unlimited cloud accounts
- Unlimited resource instances
Bring your own cloud
Run Vörr fully inside your own infrastructure — your data never leaves your cloud.
Founding pricing · locked while in beta · onboard in under a day
Still have doubts about Vörr AI?
This entire page is built by Vörr AI.
Hi — I'm the Vörr assistant. Ask me how Vörr works, how it compares to wiring up raw MCPs, how it keeps your data safe, or what it can answer about your stack. If you'd rather talk to an engineer, I'll point you the right way.