FastAPIMetrictrace_fastapi_request_errors
Count of FastAPI request spans with errors.Dimensions:None
Available on:
Datadog (1)
Datadog (1)Interface Metrics (1)
Knowledge Base (6 documents, 0 chunks)
troubleshootingTroubleshoot Lambda function failures | AWS re:Post1594 wordsscore: 0.75This AWS re:Post article provides comprehensive troubleshooting guidance for Lambda function failures across networking, permissions, code, and throttling issues. It emphasizes using CloudWatch Logs, CloudWatch metrics, X-Ray, and VPC Flow Logs to identify and resolve various error conditions.
documentationConfigure Lambda function timeout - AWS Lambda562 wordsscore: 0.65This AWS documentation page explains how to configure Lambda function timeout settings, including the default (3 seconds) and maximum (900 seconds/15 minutes) values. It provides guidance on determining appropriate timeout values and instructions for configuring timeouts through the console, AWS CLI, and AWS SAM.
best practicesHandling billions of invocations – best practices from AWS Lambda | AWS Compute Blog1896 wordsscore: 0.65This AWS blog post discusses best practices for building highly scalable Lambda applications that handle billions of invocations. It focuses on asynchronous invocation architecture patterns, queue management strategies, and techniques like shuffle-sharding to prevent noisy neighbor problems and ensure system resilience.
blog postMonitoring AWS Lambda errors using Amazon CloudWatch | AWS Cloud Operations Blog1387 wordsscore: 0.95This blog post provides comprehensive guidance on monitoring AWS Lambda errors using Amazon CloudWatch, CloudWatch Lambda Insights, and AWS X-Ray. It demonstrates practical techniques for identifying failed invocations, analyzing error patterns through CloudWatch Logs Insights queries, and using Lambda Insights for detailed performance troubleshooting.
troubleshootingTroubleshoot Lambda asynchronous invocations issues | AWS re:Post780 wordsscore: 0.65This troubleshooting guide addresses AWS Lambda asynchronous invocation issues, including destination failures, duplicate invocations, and retry behavior. It provides step-by-step debugging procedures using CloudWatch logs and configuration validation, with emphasis on understanding invocation patterns and error handling.
tutorialSetting up SLOs with FastAPI | Autometrics1633 wordsscore: 0.85This tutorial demonstrates how to implement Service Level Objectives (SLOs) in FastAPI applications using the Autometrics library and Prometheus. It covers error budgets, burn rates, and provides step-by-step code examples for instrumenting FastAPI endpoints with SLO-based alerting.
Technical Annotations (7)
Configuration Parameters (1)
strict_content_typerecommended: FalseError Signatures (2)
415http status400http statusTechnical References (4)
Starlettecomponentexception groupsconceptContent-Typeprotocolapplication/jsonprotocolRelated Insights (5)
SLO Burn Rate Early Warningwarning
FastAPI services with defined SLOs (success rate and latency objectives) can detect reliability degradation before total failure by monitoring error budget burn rate. A burn rate exceeding 1.0 indicates the service is consuming its error budget faster than sustainable.
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SLO Burn Rate Alert Patternwarning
SLO-based alerts on error budget burn rate provide early warning of degrading service health before complete failures. A burn rate >1 indicates the service is consuming error budget faster than sustainable.
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Error Rate Visibility Gapwarning
Without structured error tracking and categorization (4xx vs 5xx, error types), teams lack visibility into failure modes, making it difficult to distinguish client errors from server problems.
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Starlette 1.0.0+ upgrade changes exception handling behaviorwarning
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Strict Content-Type checking now enforced for JSON requestscritical
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