AWS Lambda
Monitoring
Errors, Throttles, Duration & Cold Start Visibility
BigBell AWS Lambda monitoring tracks invocations, error and throttle rates, execution duration, and cold starts across every function — and alerts your team the moment a function starts failing, slowing down, or hitting concurrency limits.
What is AWS Lambda Monitoring?
AWS Lambda monitoring is the real-time tracking of serverless function health — invocations, errors, throttles, execution duration, concurrency, and cold starts — so you catch failing or degraded functions before they break the applications and APIs that depend on them.
Why Lambda monitoring is different
Serverless removes the servers, but not the failure modes. There is no host to log into and no process to inspect — when a Lambda function errors, throttles, or times out, the only signal is in its metrics. A function that quietly hits its concurrency limit or creeps toward its timeout can degrade an entire API while every dashboard still shows green.
BigBell pulls Lambda metrics from CloudWatch at configurable intervals and evaluates error rate, throttle rate, duration percentiles, and concurrency against your thresholds. When a function starts failing or slowing, your team is notified instantly with the function name, region, the breached metric, and a link to the trend.
- ✓Tracks invocations, errors, and throttles per function
- ✓Monitors duration percentiles against the timeout
- ✓Watches concurrency against reserved and account limits
- ✓Surfaces cold starts and init duration
How BigBell Lambda monitoring works
Complete AWS Lambda Monitoring in One Platform
Invocation & Error Tracking
Monitor invocation volume and error counts per function in real time. Catch the moment a deployment or downstream dependency starts pushing the error rate above your threshold.
Throttle Monitoring
Track throttles that occur when a function hits its concurrency limit. BigBell alerts before throttling starts dropping requests and degrading the experience for your users.
Duration & Timeout
Watch p50, p95, and p99 execution duration against the configured timeout. Catch functions creeping toward their limit before they begin failing with timeout errors.
Cold Start Visibility
Measure cold start frequency and init duration. Identify functions where cold starts add user-facing latency and quantify the impact of provisioned concurrency.
Concurrency Monitoring
Track concurrent executions against reserved and account-level limits. Know how much headroom remains before AWS begins throttling your functions.
Historical Trends
Visualize invocations, errors, and duration over hours, days, and weeks. Spot regressions after deploys and inform cost and memory-sizing decisions.
Lambda Problems BigBell Catches Before Users Notice
Error Rate Spike
A bad deploy or a failing downstream service can send a function's error rate soaring. BigBell detects the spike within one monitoring cycle and alerts your team immediately.
Throttling at Concurrency Limit
When concurrent executions hit the reserved or account limit, AWS throttles and drops invocations. BigBell warns as you approach the ceiling so you can raise limits in time.
Duration Approaching Timeout
A function whose p99 duration creeps toward its configured timeout is about to start failing. BigBell flags the trend before timeout errors begin affecting requests.
Excessive Cold Starts
A surge in cold starts adds latency that users feel directly. BigBell surfaces cold start frequency so you can tune memory or apply provisioned concurrency where it matters.
AWS Lambda Monitoring — FAQ
Stop Flying Blind on AWS Lambda
Get error, throttle, duration, and cold start visibility across every function in your account in under five minutes — agentless, with a read-only IAM role.