What is serverless computing?

Serverless computing is a cloud native computing model in which the cloud provider runs the server, and dynamically manages the allocation of machine resources. Serverless computing can help developers innovate faster, scale easier, and reduce operational overhead. While many people think of serverless synonymously with Function-as-a-Service (e.g. AWS Lambda, Google Cloud Functions, Azure Functions), serverless is a broader term that can include container services, database, back-end services, and more.

Serverless Monitoring

Serverless without blind spots

Dynatrace automatically monitors every serverless function — across AWS Lambda, Azure Functions, and Google Cloud Functions — with distributed tracing, root cause analysis powered by AI, and full integration with real user experience data.

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AWS Lambda Service flow of DynamoDB Dynatrace screenshot

Everything you need to monitor serverless. Nothing you have to configure.

Most monitoring tools weren't built for serverless. Dynatrace was built for the reality of modern cloud-native environments — where serverless functions, containers, microservices, and traditional infrastructure all run together, and a single cold start can cascade into a degraded user experience.

All-in-one observability

From cold starts to business outcomes, Dynatrace covers every layer of your serverless stack automatically — no manual instrumentation, no sampling, no gaps.
Root cause powered by AI

Dynatrace Intelligence automatically identifies the exact cause of performance issues across any serverless function — before customers encounter them — without requiring manual investigation.
Zero blind spots

Distributed tracing spans your entire environment, connecting serverless functions to the applications, users, and business outcomes they affect — across every cloud, continuously.

Serverless moves fast. Your observability needs to keep up.

Serverless changes the operational contract — no servers to manage, but also less visibility by default. Dynatrace restores that visibility automatically across every cloud and every function, so your teams ship fast without sacrificing insight.

Cross-cloud integrations

One platform. Every serverless cloud.

Dynatrace automatically discovers and monitors serverless functions across AWS Lambda, Azure Functions, and Google Cloud Functions — tracking cold starts, function duration, memory consumption, and error rates in real time. As your environment changes, Dynatrace keeps up without any manual reconfiguration.

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Service level backtrace DynamoDB AWS Dynatrace screenshot

Root cause powered by AI

Stop guessing. Start fixing.

Dynatrace Intelligence uses distributed traces spanning every serverless function to automatically identify root causes — not just symptoms. Unlike tools that generate noise and require hours of manual investigation, Dynatrace delivers a precise answer: what failed, why, and what to fix first.

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AWS Lambda problem root cause in Dynatrace screenshot

Real user impact

Connect function performance to what users actually experience.

Dynatrace integrates serverless observability with Real User Monitoring, so you can see exactly how a slow Lambda function or unexpected cold start translates into page load delays, abandoned sessions, or lost conversions — and fix the right thing first.