Meet your AI SRE teammate
Lower observability costs. Get to the root cause faster.
60-70%
Lower observability cost vs. mainstream solutions
<5 min
To sign-up and connect your stack
40%
Faster mean time to resolution
Zero
Per-seat pricing
- What OpsPilot Does
Working 24/7 across your entire stack
OpsPilot automatically investigates and correlates – then explains exactly what happened and what to do next
I've correlated this with a database connection pool exhaustion event that began 14 minutes before your first alert fired. Root cause: pool limit of 15 is insufficient during peak load (2–4 PM EST).
Recommended actions: Increase connection pool (15 → 30), add connection timeout alerts, review slow queries in payments DB. I've drafted a runbook — want me to send it to Slack?
Ingesting telemetry signals
Analysing 339 metrics · 12 services · 4.2M log lines · 18K traces from the last 30 minutes
Cross-service correlation complete
Found 3 correlated anomalies. Payment service latency spike correlates with DB connection exhaustion (confidence: 94%) — not the downstream API timeout as initially flagged.
Root cause identified · Remediation ready
Database connection pool exhaustion in payment-processor. Runbook generated. Delivering to #ops-alerts in Slack.
Root cause: Database connection pool exhaustion causing cascading failures. 67% of incoming requests failing.
Time to fix: ~8 minutes with recommended actions.
📋 Runbook ready · 🔗 Full analysis in OpsPilot
Memory leak pattern detected — auth-service
Heap usage growing 2.3% per hour for 72 hours. Based on historical patterns, this will cause an OOM crash within 18–24 hours. Recommended: restart schedule + heap dump analysis.
Cost optimisation — over-provisioned metrics retention
You're retaining 28-day metric data but only querying the last 7 days 96% of the time. Reducing retention could save $340/mo.
Recurring incident resolved — DB connection exhaustion
This has occurred 4 times in 30 days. OpsPilot has added this to your incident memory. Future occurrences will be resolved automatically with the approved runbook.
- Setup in Minutes
From your existing stack to AI-powered action
No migration. No rip and replace. Three steps and your AI SRE teammate is live.
Connect to your existing stack
Point your OTel pipeline at OpsPilot. If you use Grafana, or any OTel-compatible source, you’re 90% there.
- OTEL
- Prometheus
- Grafana
AI analyses your stack
Your AI coworker starts watching immediately, correlating metrics, logs and traces to learn your baseline.
- AI investigation
- Root cause
Answers delivered where you work
Root cause, recommended fix and runbook appear in Slack or Teams before your team opens a dashboard.
- Slack
- Teams
- PagerDuty
- Zero Rip and Replace
Keep Grafana. Add an AI SRE
OpsPilot integrates seamlessly with your existing observability stack – adding AI intelligence and agentic action on top of the tools your team already knows and trusts. It’s not a replacement; it’s an intelligent upgrade
Already using Datadog or New Relic? OpsPilot can run alongside those too – giving you AI SRE capabilities your existing tools don’t provide, at a fraction of the cost.
- Grafana
- Prometheus
- OTEL
- Slack
- Teams
- PagerDuty
- Kubernetes
- Your Observability Platform
- Why Teams Switch
Why teams switch to OpsPilot over the alternatives
Higher G2 scores for support, setup speed, and overall satisfaction – at 60-70% lower cost
| OpsPilot | Overall73.69OpsPilot | Ease of Use8.8OpsPilot | Support9.7OpsPilot | Ease of Setup9.0OpsPilot | Ease of Admin9.1OpsPilot | Meets Requirements9.5OpsPilot | Recommend9.6OpsPilot | Product Direction9.4OpsPilot |
|---|---|---|---|---|---|---|---|---|
New Relic Full-stack observability |
70.60+3.09 |
8.4+0.4 |
8.3+1.4 |
8.2+0.8 |
8.8+0.3 |
9.3+0.2 |
9.2+0.4 |
9.2+0.2 |
Datadog Cloud-native observability |
83.5+9.19 |
8.2+0.6 |
8.3+1.4 |
8.3+0.7 |
8.2+0.9 |
8.8+0.7 |
8.8+0.8 |
9.0+0.4 |
SolarWinds APM Infrastructure monitoring |
58.21+15.48 |
8.2+0.6 |
8.7+1.0 |
8.0+1.0 |
8.6+0.5 |
9.1+0.4 |
9.1+0.5 |
9.1+0.3 |
Grafana Labs Visualisation platform |
55.31+18.38 |
8.3+0.5 |
8.2+1.5 |
8.3+0.7 |
8.5+0.6 |
9.1+0.4 |
9.0+0.6 |
9.1+0.3 |
Sentry Error tracking |
55.23+18.46 |
8.5+0.3 |
8.2+1.5 |
8.1+0.9 |
8.7+0.4 |
9.2+0.3 |
9.0+0.6 |
9.2+0.2 |
Splunk Enterprise SIEM & logs |
41.90+31.79 |
8.1+0.7 |
8.2+1.5 |
7.5+1.5 |
8.4+0.7 |
9.0+0.5 |
9.0+0.6 |
9.0+0.4 |
Honeycomb Observability exploration Limited sample — 16 reviews |
32.69+41.00 |
— | 9.3+0.4 |
— | — | — | 8.0+1.6 |
10.0−0.6 |
Elastic APM Search platform extension Limited sample — 14 reviews |
19.79+53.90 |
7.5+1.3 |
8.9+0.8 |
— | — | 9.0+0.5 |
8.0+1.6 |
— |
- Real Teams, Real Reasults
What users say about OpsPilot
Vinay J
I also like how AI can be used to suggest how the server is doing and improve code
Brandon B
The AI and its expanded capabilities are straightforward to use, the support provided by the team ensures an excellent end-user experience
Rene H
I also really like the AI support. It often provides very useful tips to narrow down errors.
- Transparent Pricing
Simple pricing. No surprises. No per-seat fees.
Usage-based pricing means you only pay for the data you send. Add your entire team at no extra cost. Switching from a mainstream platform? Most teams save 60–70% a month.
Starter AI
Perfect for small teams getting started with AI observability
Most Popular
Pro AI
For growing teams who need full AI SRE coverage
20K Metrics (13m retention) + 100GB logs / traces (30d retention) + 5,000 OpsPilot Tokens
Advanced AI
For larger teams with complex, high-volume stacks
Enterprise AI
Custom
For enterprise IT Ops teams replacing Dynatrace or Splunk.
Custom data volumes, Dedicated AI CoWorker, SSO/SAML, SLA & dedicated CSM, Custom integrations, Compliance and Audit Logs