Knowing when to pivot can be vital to staying ahead of the competition. See how Cursor AI and Heroku can be leveraged to transform an idea into a reality.
Practical strategies for modernizing legacy codebases using AI-assisted development. Discover real-world case studies and technical approaches for efficient migration.
This is a guide to scaling FastAPI microservices with Docker and K3s on Azure, covering service discovery, load balancing, observability, and optimized pipelines.
In this article, we will discuss implementing architectural rules in code using ArchUnit, emphasizing its effectiveness over traditional documentation.
Alejandro Duarte tests a MariaDB Galera cluster on a budget Orange Pi Kubernetes setup, tuning settings for resource limits and confirming successful replication.
Model Context Protocol (MCP) introduces a design-first approach to integration, enabling intelligent, context-aware connectivity in distributed systems.
This article explores how to design, build, and deploy reliable, scalable LLM-powered microservices using Kubernetes on AWS, covering best practices for infrastructure.
You'll learn how to set up your first Dropwizard project, create a RESTful API, and run it with an embedded Jetty server — all using minimal boilerplate.
This guide walks you through building a real-time Business Intelligence (BI) pipeline using tools like Apache Kafka, Spark Structured Streaming, and Apache Druid.
Learn how Kubernetes cluster sizing impacts performance and cost efficiency. Learn best practices for optimal resource management and cloud deployment success.
Large Language Models (LLMs) are advanced AI systems that generate human-like text by learning from extensive datasets and employing deep learning neural networks.
Cut through the complexity and spotlight the essential metrics you need on your radar to quickly detect and address issues in production Kubernetes clusters.