WassupAI

The serverless nemesis. Differentiate between initialization overhead and execution time. We analyze how bundle size and layers impact cold starts and when it is worth paying for Provisioned Concurrency.

Cut through the noise. Create drop filters to ignore useless platform logs (like START or REPORT lines) and focus strictly on application logic errors to save on storage and ingestion costs.

Text logs are hard to query; JSON is easy. Learn to format your Lambda logs as JSON objects, enabling New Relic to automatically parse attributes for powerful filtering and faster root cause analysis.

Observability shouldn't break the bank. We analyze the cost differences between CloudWatch ingestion and direct Extension ingestion, teaching you to balance deep visibility with a sustainable budget.

Stop tab-switching. See how combining Logs, Metrics, and Traces into a single pane of glass provides the context needed to solve complex serverless incidents instantly without hunting through different tools.

Solve mysteries faster. Learn to correlate errors with specific invocations to identify "ghost" services, timeouts, and downstream latency issues that kill user experience but don't throw hard errors.

See the big picture. Automatically generate dependency maps that visualize how your microservices interact, helping you spot architectural bottlenecks and isolate failures in complex distributed systems.

Don't lose the thread. Learn how to pass W3C trace headers between services to ensure your traces remain unbroken as requests jump from asynchronous queues to functions and databases.

Visualize the journey. We break down a distributed trace to see how a request flows from API Gateway to Lambda to DynamoDB, identifying exactly where time is being wasted in the request lifecycle.

Embrace vendor neutrality. Learn to use the AWS Distro for OpenTelemetry (ADOT) to gather telemetry data and export it to New Relic, freeing you from proprietary agents while keeping robust data analysis.