Abstract diagram of a JIT compiler pipeline turning WebAssembly into machine code.

Inside Cranelift: How a Baseline JIT Compiler Optimizes WebAssembly for Production Workloads

Cranelift is the baseline JIT that powers Wasmtime and Fastly’s edge platform. Here is how it compiles WebAssembly quickly, what optimizations matter at the baseline tier, and where it fits next to LLVM and TurboFan.

September 5, 2026 · 11 min · 2211 words · martinuke0
Diagram of Envoy proxy running a WASM filter intercepting edge requests.

Implementing Envoy's WASM Filter API for Custom Auth at the Edge

A practical guide to shipping a production-grade Envoy WASM filter that validates JWTs and custom tokens at the edge gateway.

September 4, 2026 · 9 min · 1817 words · martinuke0
Illustration of Rust code transforming into a WebAssembly binary with memory management symbols.

The Performance Cost of Garbage Collection in Rust WebAssembly Modules

A deep dive into the hidden performance costs of garbage collection in Rust‑compiled WebAssembly, with benchmarks, analysis, and mitigation tactics.

May 16, 2026 · 7 min · 1326 words · martinuke0

WebGPU: The Next-Generation Web Graphics API

Table of Contents Introduction What Is WebGPU? Why WebGPU Matters: A Comparison with WebGL Core Architecture and Terminology Setting Up a WebGPU Development Environment Writing Shaders with WGSL Practical Example: A Rotating 3‑D Cube Performance Tips & Best Practices Debugging, Profiling, and Tooling Real‑World Use Cases and Success Stories The Future of WebGPU Conclusion Resources Introduction The web has evolved from static pages to rich, interactive experiences that rival native applications. Central to this evolution is the ability to harness the power of the graphics processing unit (GPU) directly from the browser. For more than a decade, WebGL has been the de‑facto standard for 3‑D graphics on the web. However, as developers demand more compute‑intensive workloads—real‑time ray tracing, machine‑learning inference, scientific visualization—the limitations of WebGL’s API surface become apparent. ...

March 27, 2026 · 16 min · 3259 words · martinuke0

Deploying Edge‑First RAG Pipelines with WASM and Local Vector Storage for Private Intelligence

Table of Contents Introduction Fundamentals 2.1. Retrieval‑Augmented Generation (RAG) 2.2. Edge Computing Basics 2.3. WebAssembly (WASM) Overview 2.4. Vector Embeddings & Local Storage Architectural Blueprint Choosing the Right Tools Step‑by‑Step Implementation Optimizations for Edge Real‑World Use Cases Challenges and Mitigations Testing and Monitoring Future Directions Conclusion Resources Introduction Private intelligence—whether it powers corporate threat‑monitoring, law‑enforcement situational awareness, or a confidential knowledge‑base—has unique requirements: data must stay on‑premise, latency must be minimal, and the solution must be resilient against network outages or hostile interception. ...

March 22, 2026 · 15 min · 3009 words · martinuke0
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