EVERYEXCEPTION.CAUGHT.
Pipe production errors into a single readable feed. Stack traces become stories. Panics become pull requests. Silent failures become resolved before your users notice.
Ingested
10,482
Resolved
0
Latency
<12ms
No credit card. No SDK bloat. One npm install.
NullPointerException: Cannot read property "userId" of undefined
middleware/auth.ts:142
Stack Trace
>at AuthMiddleware.verify (middleware/auth.ts:142:18)
>at Layer.handle [as handle_request] (express/lib/router/layer.js:95:5)
>at next (express/lib/router/route.js:137:13)
panic: runtime error: index out of range [3] with length 3
handlers/orders.go:89
Stack Trace
>goroutine 47 [running]:
>main.processOrder(0xc0000b4000, 0x3)
>handlers/orders.go:89 +0x1f4
TimeoutError: Database query exceeded 5000ms threshold
db/queries.py:203
Stack Trace
>File "db/queries.py", line 203, in execute_query
>raise TimeoutError(f"Query exceeded {timeout}ms")
>TimeoutError: Query exceeded 5000ms
UnhandledPromiseRejection: Redis connection refused ECONNREFUSED
lib/redis.ts:56
Stack Trace
>at RedisClient.connect (lib/redis.ts:56:22)
>at processTicksAndRejections (node:internal/process/task_queues:95:5)
STOP PAYING FOR
LEGACY OVERHEAD
Every number links to a reproducible benchmark. Run them yourself — the methodology is open-sourced on GitHub.
Ingestion Latency
Measured at 50k events/sec
Event Retention
At 100M events/month
Search Latency
Full-text across 90-day window
Noise Reduction
10k events → actionable issues
SDK Size
Browser bundle impact
Setup Time
From zero to first event
Source Map Upload
Alerting Channels
* Benchmarks run 2026-02 on identical AWS c6i.4xlarge instances. Full methodology: github.com/stacktrace/benchmarks
FITS YOUR
STACK ALREADY
One npm install stacktrace-sdk and every runtime, framework, and alerting channel you rely on starts reporting in.
$ stacktrace init --auto-detect
✓ Detected 0 integrations...
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Runtime
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Infra
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+ 40 more integrations. Don't see yours? Request it →
10,000 ERRORS.
12 ISSUES.
Stacktrace's fingerprinting engine groups identical stack traces, deduplicates across services, and surfaces only what needs human attention.
Raw Events / Hour
10,000
Duplicate events, flapping alerts, noisy neighbors
Actionable Issues
10,000
Fingerprinting stack traces...
NullPointerException in auth middleware
auth-service2,8472h agoDatabase query timeout cluster
user-api1,2044h agoRedis connection pool exhaustion
cache-layer9876h agoPayment processor 502 cascade
payment-svc1,6291h agoGo panic: slice bounds out of range
order-processor3123h agoRate limit exceeded on /api/v2/users
gateway5,62130m agoUnhandled promise rejection in worker
job-queue4455h agoMemory leak in WebSocket handler
ws-server888h agoS3 presigned URL expiry mismatch
file-svc23412h agoJWT decode failure — malformed token
auth-service1567h agoElasticsearch index not found
search-api732h agoCORS preflight rejected on /api/v3
gateway8911h ago99.88%
Noise Reduction
−67%
Avg MTTR
94%
Alerts Silenced
12h/wk
Engineer Hours Saved
ENGINEERS
WHO SHIP FASTER
83%
Fewer pages/night
“We were running Sentry on a 14-service Go monorepo. Alerts were noise. Three weeks after switching to Stacktrace, our on-call rotation went from 6 pages a night to 1. The grouping is genuinely different.”
Dmitri Volkov
Staff Engineer · Meridian Payments
Priya Subramaniam
DevOps Lead · Canopy Cloud
“I inherited a Python monolith with zero observability. No logs, no traces, nothing. Stacktrace's auto-instrumentation had us seeing errors within 8 minutes of install. I've never shipped a tool faster.”

Marcus Chen
CTO & Co-founder · Lumen AI
“Our Series B due diligence included an uptime review. I pulled 90 days of Stacktrace dashboards in 3 minutes and showed four nines. The investor said it was the cleanest observability story they'd seen at seed stage.”
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