serverless

Why coding agents belong in disposable cloud sandboxes, and what AWS Lambda MicroVMs change versus EC2 dev boxes, Fargate, Codespaces, and Claude Code's own sandbox.

Before building an internal service layer, decide whether to. What the layer costs per call, the volume where VPC Lattice wins, and when direct invoke still beats it.

A private REST API structurally cannot carry gRPC, and every AWS surface that speaks gRPC excludes Lambda targets. What to keep from gRPC, and what to drop.

The private REST API, the resource policy that switches it on, per-route AWS_IAM grants, the two CDK stacks, and signing the call from a Node 22 Lambda.

SigV4 proves which service is calling and nothing about which user it is for. How to propagate a verified subject, and what the transport actually encrypts.

Same-account, the resource policy and the caller's identity policy are an OR. Cross-account they become an AND, and silence denies. What that changes in the perimeter.

API Gateway shares one throttle bucket with your front door, never retries a Lambda integration, and cannot see loops through itself. What you have to rebuild.

The access log already names the caller, route, and latency. Per-route metrics are not free, the user token needs masking, and AWS is switching off its own mesh.

A measured benchmark of 9 bundlers and 3 cdk synth runners for CDK TypeScript Lambdas, with a per-layer default and the rule that picks each one.

Kinesis is four AWS services, not one. A guide to the four, the Data Streams shard engine underneath, its cost shape, and when to pick something else.

AppSync subscriptions fire only on mutations. This explores bridging downstream BFF events into a NONE-data-source mutation with EventBridge and CDK.

Lambda durable functions put the orchestrator in your TypeScript. Reach for them when you own the whole workflow; keep Step Functions for cross-team state machines.

Match architecture weight to each runtime's init-amortization: lean handlers on single-purpose Lambda, more on a Lambdalith, full OOP/DI only on long-lived runtimes.

How to slice AWS Lambda functions: default to single-purpose, treat the single-domain Lambdalith as an earned exception, and the platform forces that decide it.

DI containers, monolithic SDKs, god-handlers, top-level secret fetches, and heavy ORMs - what they cost on cold start, and the functional shape that replaces them.

An exploration thesis: vendor lock-in in event-driven systems lives in the bus topology, not the runtime, and wasmCloud plus NATS make the bus portable.

How to build a reliable entitlement sync layer that keeps subscription access consistent across web, iOS, and Android with EventBridge and idempotent processing.

A practical comparison of TypeScript AI SDKs for building agents: Vercel AI SDK, OpenAI Agents SDK, and AWS Bedrock, with code examples and decision frameworks.

Run Bun and Deno on AWS Lambda with custom runtimes: real performance benchmarks, cost analysis, and production deployment patterns.

A technical guide to choosing and implementing AWS edge computing for global apps, with practical examples and cost optimization strategies.

A technical guide to advanced Amazon Cognito: custom auth flows, federation, multi-tenancy, migration strategies, and production-grade security with CDK.

A practical guide to learning Effect incrementally and integrating it with AWS Lambda, with real code examples, common pitfalls, and production patterns.

A practical guide to Mozilla SOPS for encrypting secrets in Git: age encryption, AWS CDK and Lambda patterns, and production-ready serverless security.

Building scalable real-time APIs with AWS AppSync: JavaScript resolvers, subscription filtering, caching strategies, and infrastructure as code patterns.

Implement secure cross-account event distribution with Amazon SNS and SQS: IAM policies, KMS encryption, AWS CDK, and common production pitfalls.

Build a testing strategy for AWS Lambda, API Gateway, DynamoDB, and Step Functions with practical patterns for fast feedback and reliability.

Choose between SQS, SNS, and EventBridge by communication pattern, not features, with working CDK examples and a clear cost analysis.

Build production serverless workflows with Step Functions: Standard vs Express, Distributed Map, error handling, and cost optimization with working CDK examples.

How AWS Bedrock AgentCore solves the infrastructure challenges of deploying agentic AI at scale, with runtime, memory, gateway, and multi-agent coordination.

A guide to Aurora architecture, I/O cost analysis, and when to choose it over RDS, with migration strategies and real-world decision frameworks.

How the Builder pattern uses TypeScript's type system for safe, discoverable APIs across serverless, data layers, and testing, with working examples.

Build maintainable, type-safe Lambda middleware with Middy's builder pattern, Zod validation, feature flags, and secrets management for serverless apps.

A practical guide to the CloudEvents spec and TypeScript SDK: create, parse, and validate standardized events across AWS Lambda and EventBridge.

Practical approaches to managing Lambda Layer versions across dev, staging, and production with AWS CDK, automated deployment pipelines, and rollbacks.

Learn to build automated preview environments using AWS CDK, Lambda, and GitHub Actions for seamless PR testing and review workflows

Real-world lessons from leading Node.js to Go migrations in serverless environments, including performance gains, team challenges, and practical decision frameworks.

Set up a production-grade link shortener with AWS CDK, DynamoDB, and Lambda: architecture decisions, initial setup, and lessons from URL shorteners at scale.

A practical guide to AWS Fargate from someone who's managed too many EC2 instances. Learn when serverless containers make sense and when they don't.

Production-tested strategies for cutting AWS Lambda cold starts: runtime selection, provisioned concurrency, and practical optimization techniques.

Tune AWS Lambda performance with production examples: memory optimization, CPU allocation, benchmarking, and cost analysis frameworks.

Production monitoring and debugging for AWS Lambda from real incidents: CloudWatch metrics, X-Ray tracing, structured logging, and alerting.

Advanced AWS Lambda patterns and cost optimization: Lambda Layers, VPC configuration, cross-account execution, and architectural decisions.

Discover the production challenges that pushed us beyond Middy's limits and how we built a custom middleware framework optimized for performance and scale

Discover how Middy transforms Lambda development with middleware patterns, moving from repetitive boilerplate to clean, maintainable serverless functions

Move from raw AWS SDK complexity to production-ready single-table design with practical DynamoDB Toolbox patterns, common pitfalls, and scaling decisions.