Master PDF-to-PNG Rendering in Java with Cloud REST API

Converting PDF documents to PNG images in Java is now faster and simpler with the GroupDocs.Viewer Cloud Java SDK. Instead of relying on heavy rendering libraries or complex manual methods, you can integrate a cloud-based solution that delivers high-quality image output with minimal effort. Getting started is straightforward. Install the SDK, set up your cloud…

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Ansible and GitOps: A Practical Guide

If you’re in the DevOps space, you’ve probably used Ansible. You also can’t miss the buzz around GitOps. This often leads to a big question: do you have to choose one over the other? The answer is a clear no. In fact, they work together remarkably well. Ansible is great at telling systems how to…

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Scaling Node.js Applications to Millions of Users: A Practical Guide

Key Takeaways Leverage Node.js strengths: Its single-threaded, non-blocking I/O makes it ideal for handling massive concurrency, but scaling requires deliberate strategies. Go horizontal, not just vertical: Scaling to millions of users demands clustering, load balancing, and stateless architecture across multiple servers. Cache aggressively: Use Redis, Memcached, and CDNs to reduce latency, offload databases, and serve…

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Race Conditions, Deadlocks, and Synchronisation in Python Multiprocessing

Before learning about Race conditions, deadlocks, synchronisation, Pools, etc., please check out these articles for a better understanding of various things related to multiprocessing in Python: Python Multiprocessing: Start Methods, Pools, and Communication. Inter Process Communication in Python Multiprocessing (With Examples). Race Conditions in Multiprocessing Even though processes do not share memory (by default), they…

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Analyzing Performance Improvements of AI Models Using Wasm at the Edge

TL;DR: WebAssembly (Wasm) lets you ship the same AI inference module across wildly different edge devices, with strong sandboxing and near-native speed when using SIMD + threads. Below is a minimal setup to measure latency, throughput, memory, and cold-start across: Native CPU inference (onnxruntime-node) Wasm CPU inference (onnxruntime-web running via WebAssembly + SIMD + threads)…

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