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Serverless Monitoring

Find the Lambda that's failing or cold-starting

Connect your AWS account in one click, and a function's metrics, recent invocations, logs, and errors all land on a single page, no hopping between CloudWatch, Logs, and the Lambda console to debug it.

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Metrics, invocations, and logs: one page — KloudMate AWS Lambda KloudMate · AWS Lambda AWS Lambda · checkout-submit Metrics, invocations, and logs: one page Invocations 18.4k Errors 2.8% p95 duration 1.8s Cold starts 17 Recent invocations 12:04:31 cold 3.2s 12:04:30 240ms 12:04:28 cold 0.9s 12:04:25 210ms Logs INIT_START nodejs20.x · cold startSTART RequestId a1b2c3d4ERROR Timeout calling inventory-serviceREPORT Duration 3204ms · Billed 3300ms

Debugging one Lambda in the AWS console means jumping across five screens.

KloudMate pulls a function's metrics, recent invocations, logs, and errors onto a single page, time-aligned and one click from your AWS account, so you debug in one place instead of five.

What teams can do with Serverless Monitoring

Connect AWS once, then see every function's metrics, invocations, logs, and errors on a single page instead of the AWS console's scattered screens.

Connect AWS in one click

One-click AWS integration discovers every Lambda automatically, no per-function setup and no agent to deploy.

Metrics, invocations, and logs on one page

See a function's metrics, recent invocations, logs, and errors together, instead of hopping between CloudWatch Metrics, CloudWatch Logs, and the Lambda console.

Track invocations, errors, duration, and cold starts

Compare the default Lambda metrics per function, with no dashboard building required.

Open one invocation, read its logs

Drill into a single invocation for its duration, cold-start status, errors, and logs, without leaving the function.

Understand function health and performance

The useful path is to start from the discovered serverless inventory, isolate the affected function, and then decide whether the issue is inside the function or downstream.

01

Connect the AWS account

Provision the integration so KloudMate can discover Lambda resources and start collecting their metrics and log context.

02

Review the function list

Compare function-level invocations, error rate, response time, memory usage, and log ingestion from one inventory view.

03

Open the function detail

Inspect recent invocations, recent issues, and the default metrics for the function showing the clearest regression.

04

Follow the issue path

Use the function detail to decide whether the next step is log review, trace inspection, or alerting on the same workload.

Every connected function in one list — KloudMate AWS Lambda KloudMate · AWS Lambda AWS Lambda · Functions Every connected function in one list Functions 58 Errors rising 5 Cold starts 2 Function Region Error rate Invocations checkout-submit errors up after deploy us-east-1 2.8% 18.4k inventory-refresh recent issue burst us-east-1 9.1% 4.2k payments-webhook stable eu-west-1 0.1% 9.6k job-heartbeat scheduled task us-east-1 0.0% 1.4k One-click integration Connected from your AWS account · every function discovered automatically, no per-function setup

Connect AWS once. Every function shows up

One-click AWS integration discovers your Lambda functions automatically. Compare their invocations, error rate, duration, and memory in one searchable list, then jump straight to the one that needs attention.

  • One-click AWS integration, no per-function setup or agents to deploy
  • Every connected function in one searchable list with its key metrics
  • Jump from the list straight into a function's single-page view
From function regression to root cause — KloudMate correlation Serverless investigation From function regression to root cause 01 Health shifts
errors and duration rise on checkout-submit
 02 Issues reviewed
same pattern repeats after the deploy
 03 Downstream checked
inventory dependency is the suspect
 04 Alert updated
function context kept for responders
 Likely contributor Inventory downstream timeout same window as the Lambda error burst Suggested next step Open logs and traces scoped to checkout-submit

Connect function failures to downstream telemetry

A failing function often depends on downstream services and logs to explain why it is slow or erroring. KloudMate keeps the function view close to the rest of the observability path so the handoff is shorter.

  • Use recent issues as the entry point to the failing function rather than triaging by account averages alone
  • Correlate the function symptom with logs and downstream request behavior
  • Move from function detail into the next investigation surface with the same time range already in scope
KloudMate AI

Use KloudMate Assistant to explain serverless regressions

Assistant can summarize which function changed first, whether the issue looks like a cold-start or downstream dependency problem, and which invocation or log slice should be opened next.

  • Summarize Explain the function, metric, and recent issue pattern behind the regression
  • Distinguish Separate cold-start, memory, and downstream dependency symptoms
  • Guide Point responders toward the next invocation, log, or trace view worth opening
Explore platform
Why is checkout-submit failing? — KloudMate Auto-RCA Assistant on serverless Why is checkout-submit failing? Q
Summarize whether this Lambda issue is a function problem or a downstream dependency problem.
 Assistant · likely cause
  • The error burst starts on checkout-submit, but the strongest downstream signal is inventory timeout behavior.
  • Cold starts increased, though not enough to explain the full latency jump on their own.
  • Review recent invocation logs and the linked downstream request path before changing memory settings.
 Function symptom Errors + duration up checkout-submit Likely contributor Downstream inventory timeout same post-deploy window Suggested next check Invocation logs + traces compare cold-start vs dependency timing

Related Features

Keep the rest of the workflow close by so teams can move between detection, investigation, and response without losing context.

APM & Distributed Tracing

Trace requests across services, inspect dependencies, and move from latency symptoms to request-level evidence.

Learn more

Log Management

Search, filter, inspect, and stream logs with trace and incident context attached.

Learn more

Alerting

Build precise rules, route alerts by label, group related firings into one, and attach a likely cause automatically.

Learn more

Infrastructure Monitoring

Monitor hosts, Kubernetes, Prometheus, and cloud resources with linked application context.

Learn more

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From telemetry to root cause,
in one platform.

Connect your OpenTelemetry pipeline, AWS integrations, or eBPF agent. Distributed tracing, log management, alerting, and AI-assisted investigation: unified, with predictable pricing.

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