Explore the top Terraform and OpenTofu tools for 2025 to simplify infrastructure management, improve collaboration, boost security, and optimize workflows.
Explore how LLMs enhance Python testing by automating test case generation, improving test coverage, reducing maintenance, and supporting efficient workflows.
Install CUDA on AWS GPU instances, containerize your deep learning model, and scale with ECS/EKS for cost-effective, high-performance training and inference.
This article explores the architecture of a distributed and scalable e-commerce platform with multiple services and components, hosted on a cloud platform like AWS.
Deploy DeepSeek-R1 on Kubernetes using Ollama for inference and Open WebUI for seamless interaction. Supports local setups like KIND or cloud deployment.
A monorepo-based framework that streamlines microservices testing by reducing maintenance, improving reliability, and enhancing scalability using a centralized approach.
Quarkus enables a full CRUD API with just two classes using Hibernate ORM with Panache. No controllers or repositories needed — just define two classes, and deploy.
MVI offers a structured, one-way data flow, aligning with Jetpack Compose's reactive design and ensuring clear state handling, easier debugging, and better scalability.
Learn SRE best practices for Java applications to ensure high availability, performance, and scalability, covering monitoring, logging, security, and more.
Docker and Kubernetes enable scalable, resilient mobile backends with auto-scaling and monitoring. CI/CD, caching, and Istio enhance performance and security.