Skip to content

production

14 posts

production
Prompt Engineering for Production Systems: A Systematic Engineering Approach

A technical guide to production-grade prompt engineering: systematic design, security, observability, and cost optimization for enterprise LLM apps.

prompt-engineering · llm · ai-tools +6

LaunchDarkly vs Unleash vs AWS AppConfig: Feature Flags at Scale

A production guide to feature flags in distributed systems, comparing LaunchDarkly, Unleash, and AWS AppConfig with examples for rollouts and A/B testing.

feature-flags · devops · ci-cd +5

Contract Testing with Pact - Ensuring API Compatibility in Microservices

A practical guide to consumer-driven contract testing with Pact in TypeScript microservices, catching breaking API changes before deployment.

testing · microservices · api-design +3

Testing Serverless Applications: A Practical Strategy Guide

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

lambda · testing · serverless +8

LangChain in Production: Patterns That Work and Anti-Patterns That Don't

Lessons from running LangChain in production: the anti-patterns that cause failures, the patterns that work, with code examples and cost optimization strategies.

langchain · llm · production +5

Building Production-Ready AI Agents with AWS Bedrock AgentCore

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

aws-bedrock · ai-agents · aws +3

How to Adopt AI Coding Tools: From Pilot to Production1/1

A hands-on guide to adopting AI developer tools: readiness scoring, pilot scope, security controls, review capacity, and the metrics worth tracking.

ai-tools · security · code-review +3

From RFC to Production: What They Don't Tell You About Implementation

Where RFC designs diverge from production reality, using notification systems as the worked example, and how to tell useful adaptation from architectural drift.

rfc · production · debugging +4

Debugging Notification Delivery Failures at Scale1/1

Real-world debugging techniques, monitoring strategies, and lessons learned from notification system failures in high-stakes production environments

debugging · monitoring · production +4

AWS Fargate Troubleshooting: ENI Limits, Timeouts, Debugging1/1

Fargate failure modes that green dashboards hide: ENI quota exhaustion, subnet routing breaks, memory leaks, and the checks that find each one.

aws · fargate · debugging +4

Middy Alternatives: Building a Custom AWS Lambda Middleware Framework1/1

When a Lambda fleet outgrows Middy's static middleware model, how a project-specific engine handles per-request config, and what owning one costs

lambda · middleware · performance +6

AWS Lambda with TypeScript: Production Best Practices

Moving from Express.js to Lambda: the common mistakes teams make along the way, and the TypeScript patterns that reduce AWS bills at scale.

api-gateway · cost-optimization · lambda +2

How to Choose a Database: SQL vs NoSQL vs NewSQL vs Edge

Choose the right database across SQL, NoSQL, NewSQL, and edge options: the trade-offs of each category, selection criteria, and a decision framework.

data-storage-orm · postgresql · redis +6

Axios vs Fetch vs Undici: Node.js HTTP Clients Compared

Why undici is the sensible default for Node.js server-to-server calls, and when Axios, native fetch, or Effect is the better pick

nodejs · http · functional-programming +3