Cloud Infrastructure Monitoring

AWS Lambda
Monitoring

Cold Starts, Execution Time & Concurrency Limits

Serverless doesn't mean unmonitored. BigBell tracks AWS Lambda execution times, memory consumption, and cold start latency to ensure your serverless architecture is fast and cost-effective.

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Overview

What is AWS Lambda Monitoring?

AWS Lambda monitoring is the tracking of serverless functions executed in the AWS cloud. Because there is no underlying server OS to monitor, Lambda monitoring focuses entirely on the function's invocation behavior: how many times it was invoked, how long it took to execute (Duration), how much memory it consumed during execution, and whether it threw any errors or hit concurrency limits.

Why AWS Lambda Monitoring Matters

In a serverless architecture, you pay for every millisecond of execution time. If a database query slows down, your Lambda function runs longer, and your AWS bill increases exponentially. Furthermore, 'Cold Starts' (when AWS provisions a new container to run your code) can add seconds of latency to an API request. Monitoring Lambda helps you identify slow functions, optimize memory allocation (which speeds up execution), and detect when you are hitting account-wide concurrency limits.

✓Reduce AWS bills by identifying slow-running functions
✓Detect and mitigate painful Cold Start latency
✓Get alerted immediately when a function throws an error or exception
✓Prevent API outages caused by AWS concurrency throttling

Core Use Cases

Essential for modern, event-driven architectures where Lambda functions process S3 uploads, handle API Gateway requests, or consume messages from SQS queues. Monitoring ensures these asynchronous workflows don't silently fail.

Features

Complete Lambda Monitoring Capabilities

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Execution Duration

Track the exact millisecond duration of your Lambda functions to identify performance bottlenecks in your code.

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Cold Start Detection

Monitor the latency introduced by AWS provisioning new execution environments, allowing you to optimize initialization code.

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Throttling & Concurrency

Track concurrent executions and receive alerts if your functions are being throttled due to AWS account limits.

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Error Rate Alerts

Automatically trigger an alert if the error rate of a specific Lambda function exceeds a defined percentage.

FAQ

Frequently Asked Questions

A cold start happens when a Lambda function is invoked after being idle. AWS must spin up a new container and initialize your runtime, which adds significant latency. BigBell helps track how often this occurs.

Lambda pricing is based on GB-seconds (memory allocated * execution time). By finding functions that run too long or allocate too much unused memory, you can optimize them and drastically lower costs.

Yes, BigBell tracks metrics across all your deployed Lambda versions and aliases, perfect for monitoring blue/green deployments.

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