# DevOrbit

> AI-powered log analysis and auto-remediation platform for engineering teams.

DevOrbit ingests error logs from Datadog, New Relic, Elasticsearch, Splunk, and GCP Cloud Logging. It performs AI root cause analysis, maps errors to the exact code responsible using a structural Knowledge Graph, and generates ready-to-merge GitHub Pull Requests with fixes — reducing mean-time-to-resolution by up to 80%.

## How Does DevOrbit Work?

1. **Connect & Index**: Link your cloud log providers (GCP, Datadog, New Relic, Elasticsearch, Splunk) and GitHub repositories. DevOrbit automatically indexes your codebase structure — class hierarchies, function signatures, and cross-service dependencies.
2. **Proactive Monitoring**: DevOrbit continuously scans your logs for recurring error patterns. It deduplicates noise and sends daily AI-curated digests to Slack with prioritized issues.
3. **AI Deep Diagnosis**: Paste a Trace ID or click an alert to trigger multi-model root cause analysis. DevOrbit maps the error to the exact execution path and pinpoints the responsible line of code.
4. **Automated Remediation**: With one click, DevOrbit generates a production-quality GitHub Pull Request containing the fix — ready for human review and merge.

## Key Features

- Paste a trace ID, get instant root cause analysis
- Automatic execution flow visualization across microservices
- AI-generated code fixes delivered as GitHub Pull Requests
- Proactive log monitoring with Slack digest integration
- Structural Knowledge Graph for codebase understanding
- Bug filing to Jira and ClickUp
- Integrates with Datadog, New Relic, Elasticsearch, Splunk, Sentry, AWS, GCP
- Reduces mean-time-to-resolution by 80%
- PII scrubbing at the edge before AI processing

## How Is DevOrbit Different?

| Feature | DevOrbit | Traditional APM (Datadog, New Relic) |
|---------|----------|--------------------------------------|
| Root Cause Analysis | AI-powered, automatic | Manual investigation |
| Code Fix Generation | Auto-generated GitHub PRs | Not available |
| Codebase Understanding | Structural Knowledge Graph | No code awareness |
| Alert Noise | Deduplicated AI digests | Raw alert storms |
| Time to Resolution | Minutes | Hours to days |

DevOrbit is not a replacement for your APM. It sits on top of your existing observability stack (Datadog, New Relic, GCP, etc.) and adds an intelligent remediation layer that goes from "alert" to "fix" automatically.

## Use Cases

- SRE and DevOps teams debugging production incidents faster
- Engineering managers seeking automated incident remediation
- Platform teams looking for AI-powered observability tooling
- On-call engineers who need faster root cause analysis
- Startups wanting to reduce MTTR without growing the team

## Technical Architecture

- **Log Ingestion**: Multi-provider normalized ingestion pipeline
- **Knowledge Graph**: Structural code indexing (not raw source) mapping classes, functions, and dependencies
- **AI Pipeline**: Multi-model analysis (Gemini, GPT) with context-aware prompting
- **Remediation Engine**: AST-aware code generation producing syntactically correct patches
- **Integrations**: GitHub App (PRs), Slack (alerts), Jira/ClickUp (tickets)

## Supported Languages

TypeScript, JavaScript, Python, Go, Java, C#

## Pricing

- Starter: $49/month — Up to 500 trace analyses, root cause analysis, execution path visualization
- Pro: $149/month — Unlimited analyses, auto pull request generation, all integrations
- Enterprise: Custom pricing — SSO, on-premise deployment, SLA guarantees

All plans include a 14-day free trial. No credit card required.

## FAQ

**What log providers does DevOrbit support?**
DevOrbit integrates with GCP Cloud Logging, Datadog, New Relic, Elasticsearch, and Splunk. Logs from any source are normalized into a unified format.

**How does DevOrbit fix code automatically?**
DevOrbit uses a multi-model AI pipeline combined with a structural Knowledge Graph of your codebase. It maps stack traces to exact files and lines, analyzes context, and generates ready-to-merge Pull Requests.

**Is my code and log data secure?**
DevOrbit only indexes structural metadata (classes, functions, dependencies) and scrubs PII from logs at the edge before AI processing.

**How much does DevOrbit cost?**
Plans start at $49/month for individuals and $149/month for teams. Enterprise pricing is custom. All plans include a 14-day free trial.

**What is the difference between DevOrbit and Datadog?**
Datadog is an observability platform for monitoring. DevOrbit sits on top of Datadog (and other APMs) to add AI-powered root cause analysis and automated code fix generation. They are complementary, not competing.

**Does DevOrbit work with microservices?**
Yes. DevOrbit's Knowledge Graph understands cross-service dependencies and can trace errors across multiple services in a distributed architecture.

## Links

- Website: https://www.devorbit.live
- App: https://app.devorbit.live
- Contact: https://www.devorbit.live/#contact
- Privacy: https://www.devorbit.live/privacy
- FAQ: https://www.devorbit.live/#faq