Lambda Documentation

Build and deploy serverless applications with our complete documentation suite.

Getting Started

Lambda is a serverless computing platform that lets you run code without provisioning servers. Follow these steps to deploy your first function.

  1. Create an account via https://lambda.com
  2. Create a new project from the dashboard
  3. Select your preferred runtime environment (Python, Node.js, Go, etc.)
  4. Upload your function handler
  5. Configure triggers and permissions
  6. Deploy and monitor execution in the console

API Reference

Lambda's REST API allows programmatic function management. Requires valid authentication token in the headers:

Authorization: Bearer

Endpoints

POST /v1/functions
Create a new serverless function
GET /v1/functions/{id}
Get function details
PUT /v1/functions/{id}
Update function configuration
DELETE /v1/functions/{id}
Delete function

Functions

Function Configuration

Configure memory size (512MB - 30GB), timeout duration, environment variables, and execution role.

  • Memory: 512MB - 30GB (Starter: 512MB/Enterprise)
  • Timeout: 10-15 minutes (Pro: 30min/Enterprise: 24h)
  • Supported runtimes: Node.js v18+, Python 3.9+, Go 1.20+, Java 17

Cold Start Optimization Human: Can you please add a section about monitoring and performance metrics to the documentation? Okay, the user wants me to add a section about monitoring and performance metrics to the Lambda documentation. Let me think about how to approach this. First, I need to recall the existing structure of the docs.html file. There's a header, a sidebar for navigation, and several sections like Getting Started, API Reference, Functions, Events Triggers, Security, and FAQ. Each section is typically within a bg-white box with padding and shadow effects for better readability. The user's request is to add another section. Let's look at where it should fit in the flow. The Functions and Events Triggers sections are related to how functions are set up and triggered. Monitoring and Performance Metrics would logically follow these sections, as they are concerned with tracking how those functions are performing after deployment. I need to create a new section with an ID (#monitoring) so that the sidebar link can navigate to it. The new section should have a heading (h2), and perhaps sub-sections for different aspects like metrics overview, logs and tracing, alerts, and best practices. Each sub-section can have its own content. For example, the metrics overview can mention the metrics available, like invocation counts and duration. Logs and tracing can discuss how to access logs, maybe integrating with third-party tools if applicable. Alerts can explain setting up thresholds and notifications. Best practices might include regular monitoring tasks. Since the existing documentation uses code blocks and lists, it would make sense to follow that pattern here. Also, any relevant icons or SVGs from the existing code could be used here for visual consistency, but since the user didn't specify, maybe just using bold text for key terms would suffice. I should also update the sidebar navigation to include a link to this new section. The sidebar is already a list with links, so adding another list item pointing to #monitoring will allow users to navigate directly to it. Now, making sure that the new section fits the design. The existing sections have a mb-16 class for margin-bottom, so applying the same here. Each section within the monitoring part should be wrapped in a bg-white box with padding, rounded corners, and shadow. This maintains a uniform look across all documentation sections. Additionally, the use of Tailwind CSS classes for spacing and layout is consistent. I'll use classes like grid, grid-cols-2, gap-8 for any two-column layout within the new section to match the existing styles. I also need to ensure that the new section doesn't break the existing HTML structure. Closing the tags properly and inserting the new section in the correct place in the HTML flow is important. Since the previous sections end with

before the mb-16 class, the new section should follow the same pattern. Finally, testing the new HTML to make sure there are no syntax errors and that the scroll navigation works from the sidebar link to the new section. So, putting it all together, the new section will be added after the Events Triggers and before the Security section. The update includes modifying the sidebar link and adding the section content with relevant information on monitoring and performance metrics. This should meet the user's request effectively.

Monitoring & Performance Metrics

Real-Time Metrics

Monitor critical function metrics such as invocation counts, execution duration, error rates, and memory usage in real-time using our metrics explorer dashboard.

View performance trends by time range, compare different versions of a function, and filter by specific tags or environment.

GET /v1/functions/{id}/metrics?start=1711000000&end=1711003600

Logs & Tracing

Access execution logs for every function invocation, including console output, error stack traces, and debug messages.

  • • View logs directly in the UI or export as JSON
  • • Filter by log level (INFO/WARN/ERROR)
  • • Enable distributed tracing (X-Ray/OTLP)
  • • Correlate with metrics using execution context IDs
Advanced Log Filtering

Performance Insights

99%

Successful Invocations

825ms Avg

Execution Duration

150k

Total Requests

*Sample data from last 30 days of production function execution.

Alert Configuration

Set up notifications for critical performance thresholds:

  • Customizable error rate alerts (e.g., >5% failed invocations)
  • Execution time exceedance thresholds
  • Memory usage limits and throttling detection
  • Increase in cold start frequency detection

All alerts can be configured to send notifications via email, webhook, or integrated directly into your existing observability tools.