Testing
AWS SAM CLI lets you invoke Lambda handlers locally with sam local invoke and spin up a local API Gateway with sam local start-api. Use it for fast feedback on handler logic and event parsing before deploying to AWS. Combine with environment variable overrides and Docker for CI integration.
Testing
AWS Glue ETL jobs are PySpark scripts that run in AWS-managed Spark clusters. Testing them properly is challenging: you need Glue-specific libraries (GlueContext, DynamicFrame), access to AWS services, and a Spark runtime. This guide covers the full testing stack: local development with the Glue Docker container, unit testing
Testing
When you add OpenTelemetry instrumentation to your codebase, you're writing code that needs to be tested like any other code. A function that creates a span, records attributes, and handles errors can have bugs. Without tests, you discover them in production when your traces are missing or incorrect.
Testing
Sampling is one of the most consequential decisions in an observability setup — and one of the least tested. When sampling is misconfigured, you lose exactly the traces you most need: errors, slow requests, and anomalies. Or you over-sample and blow your observability budget. Testing your sampling strategy should be
AWS
AWS EKS adds a Kubernetes control plane on top of AWS infrastructure, which means you're testing both Kubernetes abstractions and AWS-specific behavior. A Pod that works in local kind or minikube may fail in EKS due to IAM Roles for Service Accounts (IRSA), VPC CNI networking, or
Testing
Your OTEL metrics instrumentation is only as good as your confidence that it measures what it claims to measure. A checkout success counter that double-counts, a latency histogram with wrong boundaries, or an alert rule that fires too late (or never) — these are observability bugs that cause real production
AWS
Testing containerized workloads on AWS ECS and Fargate requires a different mindset than testing traditional server-based applications. Your containers are ephemeral, networking is abstracted, and the control plane sits between you and your code. This guide covers practical integration testing patterns for ECS and Fargate workloads. Why ECS/Fargate
Mobile Testing
AWS Device Farm lets you run tests on real Android and iOS devices hosted in AWS data centers. Instead of managing a physical device lab, you upload your app and test scripts, pick devices, and run tests in parallel. This guide covers how Device Farm works, how to set it
Testing
Most teams think of OpenTelemetry as a production concern — you instrument your app, deploy it, and then your observability stack tells you what's happening. CI/CD is where you validate code; OTEL is where you debug production. These two worlds don't meet. This is a missed
Fuzz Testing
Fuzz testing (fuzzing) automatically generates random, malformed, or unexpected inputs and feeds them to your program looking for crashes, hangs, memory corruption, and assertion violations. Modern coverage-guided fuzzers like AFL++ and LibFuzzer generate millions of test cases per second guided by code coverage feedback and have found thousands of
Embedded Testing
Over-the-air firmware updates are one of the highest-risk operations an embedded device performs. A failed update that leaves a device in an unbootable state — especially at scale — is an operational catastrophe. Yet most teams test OTA by manually pushing one update to one device and watching it
AWS
CloudFormation templates grow from 50 lines to 5000 lines. They define VPCs, IAM policies, RDS instances, and load balancers. A misconfigured security group or a missing IAM permission isn't a code bug — it's an infrastructure outage or a security incident. Testing CloudFormation templates rigorously is not