IOpipe
IOpipe provides serverless monitoring and observability for AWS Lambda applications, giving engineering teams real-time visibility into function behavior. The platform ingests every event and displays telemetry in under three seconds, enabling rapid debugging through tracing, CPU profiling, and error aggregation. Teams can set configurable alerts across Slack, PagerDuty, email, webhooks, and Lambda to discover issues before users notice them.
- Developer Tools
- Data & Analytics
- Software Only
Funding
Funding not disclosed
Founders
Founder details are not available yet.
Product
Problem
Serverless applications are event-driven and can fire off millions of events per minute, making it difficult for teams to gain granular visibility into function behavior during runtime. Traditional aggregate metrics with minute-level resolution are insufficient for debugging and optimizing these highly distributed, ephemeral execution environments.
Solution
IOpipe delivers serverless monitoring and observability into the most granular behaviors of applications, giving developers a detailed look at what their code is doing while it runs. The platform provides real-time tracing to identify slow calls, alerts for misbehaving functions, and CPU profiling to see exactly what code executes line by line. Telemetry is analyzed and displayed in less than three seconds, supporting lightning-fast debugging and iteration. Teams can operate with confidence by discovering issues before users notice them, without digging through log files.
Target Audience
Primary customers are software engineering teams building and operating serverless applications on AWS Lambda who need detailed observability, debugging, and performance optimization capabilities.
Features
- Real-time telemetry analysis and display in under 3 seconds
- High-resolution metrics down to the exact invocation, with percentiles for spotting outliers
- CPU profiling for Node.js functions to visualize execution internals and validate design decisions
- Tracing to track and measure performance of any call made within functions, with alerting on degradation
- Error aggregation with full stack traces, timeouts, and invocation-level metrics across functions
- Custom invocation labels for filtering and advanced search across metrics, custom metrics, and trace data
- Configurable alerts with multiple rules and hooks per alert, supporting Slack, PagerDuty, Email, Webhooks, and Lambda
- Seamless AWS integration to visualize and track the performance of any call