AI-native SRE platform

Your engineers shouldn't be doing SRE work at 2am. Tapifra should.

An agentic SRE team that watches your pipelines, detects failures, and explains root cause — before your oncall ever gets paged. Ship at development speed. Land safely in production.

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#sre-alerts · tapifra-bot
live
pipeline failure detected
DAG failed: payment_settlement_daily
Task db_write_settlements Run ID 2024-01-15T02:31 Duration 14s before fail Env production
Tapifra root cause Connection pool exhausted after 100 retries. PostgreSQL max_connections (100) hit by 3 concurrent DAG runs. Settlement DAG scheduled at same time as reconciliation and audit jobs. Recommend staggering start times by 15min or raising pool limit.
<5min
mean time to detect
8+yrs
FAANG SRE DNA
0
2am pages for your team
The problem
Your pipelines move faster than your SRE team can watch

Engineering teams run lean. Your engineers are building features, not watching dashboards. And production doesn't care what time it is.

🔥
Failures at 2am
Data pipelines, deployment jobs, scheduled DAGs — they fail when no one's watching. Your oncall pays the price.
🔍
Hours of log diving
Root cause analysis takes hours of manual log inspection. By the time you find it, SLAs are already breached.
📉
Slow MTTR burns trust
Every minute of downtime in a fintech product is a transaction not processed, a customer lost, a regulator unhappy.
How it works
Tapifra watches. Tapifra thinks. You sleep.
01
Connect your pipelines
Works with Apache Airflow, GitHub Actions, and any Python pipeline. Connect in under 5 minutes — no infra changes required.
02
Tapifra monitors continuously
The agentic loop watches task states, log streams, and execution history in real time. Always on, zero manual intervention.
03
Failure detected, root cause found
When something breaks, the LLM reads logs, traces the failure path, and identifies the root cause — in seconds, not hours.
04
Slack alert with fix suggestion
Your team gets a Slack message with what broke, why, and what to do next. Before the oncall gets paged. Before the SLA breaches.
payment_settlement_daily failed
extract_transactions4.2s
validate_schema1.1s
apply_fx_rates2.8s
db_write_settlements 14s ✗
notify_finance_team—
archive_run_artifacts—
Tapifra detected
Connection pool exhausted — 3 concurrent DAGs, 100 max connections
Pricing
Simple pricing for engineering teams

Honest pricing. No per-seat nonsense. Cancel anytime.

Free
$0/mo
25 pipeline runs · forever free
  • Airflow + GitHub Actions
  • Slack alerts
  • Root cause detection
  • Community support
Starter ✦ most popular
$49/mo
Unlimited pipelines
  • Everything in free
  • Unlimited runs
  • Fix suggestions
  • Email support
Growth
$199/mo
For fast-scaling teams
  • Everything in Starter
  • Flaky test detection
  • Pre-merge risk scoring
  • Priority support
Team
$599/mo
Full AI SRE suite
  • Everything in Growth
  • Release Assistant
  • Oncall intelligence
  • Dedicated support
Early access

Be the first engineering team to sleep through production.

We're onboarding a small group of engineering teams first. Get early access, free setup, and direct line to the founders.

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