DevOps guides on CI/CD, Terraform, observability, event-driven architecture, infrastructure as code, and production deployment strategies.
A deep dive into building a production-ready email server in Go with 87 commits across 22 days. Complete architecture, performance metrics, deployment strategies, and unique features like IMAP IDLE, DKIM, and CalDAV support.
Learn from real production debugging experiences. This article covers three critical bug categories: SQL schema mismatches causing user creation failures, admin panel SQL errors from schema drift, and template isolation issues causing content injection. Includes debugging techniques, testing strategies, and production lessons learned.
Learn how to build a robust email delivery engine with circuit breakers, exponential backoff, MX resolution, and comprehensive monitoring. Based on a real production email server implementation.
A deep dive into implementing real-time email notifications using IMAP IDLE, chronicling three crashes, library bugs, and the journey to production-grade instant email delivery with Go. Learn about goroutine race conditions, go-imap v1 vs v2, and O(1) file access optimizations.
A deep dive into debugging three critical IMAP server crashes caused by nil pointer dereferences. Learn how we tracked down and fixed SELECT response crashes, BODYSTRUCTURE panics, and capability advertising issues in production.
Deep dive into designing a robust database schema for email infrastructure. Learn from 8 progressive migrations covering domains, users, mailboxes, messages, DKIM, Sieve filtering, and more with practical SQL examples.
A deep dive into implementing DomainKeys Identified Mail (DKIM) in a production email server, covering key storage abstraction, signing workflows, multi-domain pool management, and automated key rotation.
Master event-driven architecture using Apache Kafka. Learn about producers, consumers, topics, partitions, Kafka Streams, and Kafka Connect. Explore real-world implementations including microservices communication, CQRS, event sourcing, and production deployment best practices.
Master GraphQL Federation to build distributed GraphQL APIs across microservices. Learn how to create a unified graph, implement schema stitching, handle authentication, and optimize performance in production environments.
Learn how to implement comprehensive observability in your applications using OpenTelemetry. This guide covers traces, metrics, and logs across Node.js, Python, and Go, with real-world examples and production best practices.
A comprehensive introduction to quantum computing for classical developers. Learn the fundamentals of qubits, quantum gates, and quantum algorithms. Explore practical implementations using Qiskit and Cirq, understand quantum machine learning basics, and discover how to get started with quantum simulators in the NISQ era.
Master Infrastructure as Code with Terraform. Learn HCL syntax, multi-cloud deployments, modules, state management, GitOps workflows, and security best practices through real-world examples.
Master automated microservices migration in 2025 with this comprehensive platform guide. Reduce migration time by 80% and deployment failures by 60% using Kubernetes, Docker, and custom orchestration. Learn step-by-step strategies for seamless monolith-to-microservices transformation with proven success metrics.
A detailed guide on automating Python scripts using GitHub Actions, integrating API triggers, and setting up email notifications for success and error reporting. Utilizes Python, GitHub Actions, Flask, and SMTP for seamless automation and monitoring.
Learn how to build scalable event-driven architectures using AWS services like EventBridge, SNS, SQS, and Lambda. This comprehensive guide covers event patterns, message routing, error handling, and deployment strategies for building robust event-driven systems on AWS.
Learn how to build high-performance microservices using gRPC and Protocol Buffers. This comprehensive guide covers service definition, implementation patterns, streaming, error handling, and deployment strategies for building robust and efficient microservice architectures.
Master cloud computing with Amazon Web Services (AWS). Learn how to design, deploy, and manage scalable cloud applications. This guide covers essential AWS services, best practices, and real-world examples.
Learn how to build a scalable real-time analytics pipeline using Apache Kafka for stream processing and ClickHouse for high-performance analytics. This comprehensive guide covers data ingestion, processing, storage, and visualization patterns for handling millions of events per second while maintaining sub-second query performance.
Deploying a Node.js application in production involves numerous configurations and considerations to ensure performance, reliability, and security. Whether you\
Learn how to build high-performance GraphQL APIs using Node.js that can handle millions of requests while maintaining optimal response times. This comprehensive guide covers schema design, caching strategies, batching, pagination, and security considerations for production-grade GraphQL implementations.
When deploying Node.js applications in production, unexpected issues and errors are inevitable. Real-time debugging and troubleshooting become crucial to quickly resolve these issues and maintain uptime. Debugging in production differs from development debugging since access to logs, memory usage, and application metrics are limited in live environments. To overcome these limitations, we use advanced tools and techniques to track, analyze, and resolve issues.