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Performance

Mastering High-Performance Image Processing in Go

Image processing is a staple requirement for modern backend systems. Whether you are building a user profile system that needs to generate thumbnails, an e-commerce platform that needs to standardize product photos, or a content management system (CMS) handling massive uploads, the way you handle images matters.

Mastering Java GraalVM Native Images: Compilation and Performance Tuning in 2025

The Java landscape has shifted dramatically. While the JIT (Just-In-Time) compiler remains the gold standard for long-running, monolithic applications requiring massive peak throughput, the cloud-native era demands something different. In 2025, instant startup times, low memory footprints, and instant scalability are non-negotiable for Kubernetes deployments and Serverless functions.

Mastering Go Concurrency: Architecting a High-Performance In-Memory Message Queue

Introduction # In the landscape of 2025, distributed systems are the norm. We often reach for heavy-lifting tools like Kafka, RabbitMQ, or NATS JetStream immediately when we hear “message queue.” However, for many internal application workflows, micro-batching tasks, or decoupling services within a single monolith, these external dependencies introduce unnecessary latency, operational overhead, and serialization costs.

Java on Kubernetes: Production-Grade Deployment Patterns & Best Practices (2025 Edition)

The days of debating whether to run stateful monolithic Java applications on bare metal or virtual machines are largely behind us. In 2025, Kubernetes (K8s) is the de facto operating system for the cloud, and Java—specifically with the advancements in JDK 21+ and Spring Boot 3—remains the dominant language for enterprise backends.

Demystifying Rust Async: Building Your Own Future and Executor from Scratch

If you have been working with Rust for a while, you rely heavily on tokio or async-std. By 2025, these runtimes have become incredibly mature, handling everything from networking to file I/O with impressive efficiency. However, for a Senior Rust Developer, treating the async runtime as a “black box” is a liability.