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WebAssembly and Edge Computing: The New Standard for Web Performance

WebAssembly (Wasm) has established itself as a core technology for server-side and edge computing beyond the browser. We analyze the potential as a lightweight runtime to replace containers, the introduction of WASI 0.2, and the changes in the cloud-native ecosystem in 2025.

Kim Tae-young 에디터 39분 읽기
WebAssembly and Edge Computing: The New Standard for Web Performance
WebAssembly and Edge Computing: The New Standard for Web Performance / Source: Unsplash

In 2025, if we were to pick the hottest keyword in the cloud computing market, it would undoubtedly be WebAssembly (hereinafter Wasm). Just a few years ago, Wasm was perceived as “technology for running Photoshop or 3D games in a web browser.” But now, Wasm is moving beyond the fence of the browser and completely overturning the landscape of the server-side, especially Edge Computing.

Having worked as a cloud infrastructure architect for nearly 10 years, I have witnessed the huge flow from Virtual Machines (VM) to Containers, and then to Kubernetes. And now, I am experiencing in the field that the paradigm of the last 10 years led by Docker containers is being reorganized by a new wave called Wasm. In this article, I will analyze from a technical perspective why developers in 2025 are enthusiastic about Wasm and how it is changing our backend architecture.

Wasm Out of the Browser

WebAssembly is originally a binary instruction format designed to achieve near-native performance in web browsers. It allowed codes written in C++, Rust, Go, etc., to be compiled and executed at high speed on browsers. However, developers soon realized. “Is there any reason to use this lightweight, fast, and secure (Sandboxed) execution environment only inside the browser?”

The Dilemma of Containers and the Rise of Wasm

Docker and Kubernetes were revolutionary, but their inherent limitations were also clear. First is the ‘Cold Start’ problem. It takes hundreds of milliseconds (ms) to several seconds to launch a single container in a serverless environment. This latency is fatal when traffic explodes. Second is Security and Isolation Costs. Since Linux containers share the kernel, heavy virtualization technologies had to be added for perfect isolation. Third is the limitation of Portability. Although it advocated Java’s slogan “Write Once, Run Anywhere,” in reality, there was the hassle of building separate images depending on the CPU architecture (x86 vs ARM).

Wasm elegantly solves all these problems.

  • Ultra-fast Boot: Wasm modules execute in milliseconds (ms), sometimes microseconds (µs). This means serverless functions can be scaled in 0.1 seconds.
  • Basic Security: Wasm basically runs in a sandbox environment with restricted memory access. Since access rights to the host system are strictly controlled, security risks are significantly lower.
  • True Portability: Compiled .wasm files execute identically anywhere as long as there is a Wasm runtime, regardless of OS or CPU architecture. Modules developed on x86 servers can be deployed as-is to ARM-based Raspberry Pis or edge devices.

Inflection Point of 2025: WASI 0.2 and Component Model

The decisive factor that Wasm started to gain momentum on the server side is the maturity of the WASI (WebAssembly System Interface) standard. Especially, WASI 0.2 (Preview 2) confirmed in early 2024 and the Component Model became game changers.

In the past, for Wasm modules to access the file system or communicate over a network, they had to use non-standard methods that were different for each runtime. However, WASI 0.2 provides standardized interfaces for socket communication, file I/O, HTTP request processing, etc. Now, developers just need to build code written in Rust or Go with the standard WASI target, and it can run identically whether it’s AWS Lambda, Cloudflare Workers, or a local Wasmtime runtime.

What is more interesting is the ‘Component Model’. This allows Wasm modules written in different languages to be assembled like Lego blocks. For example, it became possible to bundle an AI library written in Python, high-performance image processing logic written in Rust, and business logic written in Go into a single application and run it. This heralds the era of Nanoservices beyond Microservices Architecture (MSA).

Perfect Combination with Edge Computing

As the center of cloud computing moves from central data centers to the ‘Edge’ close to users, the value of Wasm shines even more.

CDN (Content Delivery Network) providers are competing to release Wasm-based edge computing platforms. Instead of the user’s request going to the origin server in London, the Wasm module at the edge node in Seoul immediately processes the request and sends a response. Tasks like image resizing, authentication token verification, and A/B test routing are processed instantly at the edge.

Previously, we had to rely on JavaScript (V8 Isolate) to write such edge logic. However, with the introduction of Wasm, we can now develop edge applications using high-performance languages like Rust, C++, Zig, and Swift. This has opened the way to run AI inference models requiring complex calculations directly on edge devices.

Actual Adoption Cases and Performance Benchmarks

I will share a case of a global e-commerce company where I recently conducted consulting. They were suffering from the cold start problem of serverless functions every Black Friday. When traffic exploded, auto-scaling couldn’t keep up, and 500 errors were frequent.

We migrated the core payment logic and inventory check modules from Go-based containers to Rust-based Wasm modules. And we ran this on ‘WasmCloud’, a Wasm-native orchestrator. The results were shocking.

  • Cold Start Latency: Average 800ms -> 5ms (99% reduction)
  • Memory Footprint: 200MB per instance -> 15MB (92% reduction)
  • Infrastructure Cost: 60% savings compared to existing

It showed an overwhelming difference not only in performance but also in cost efficiency. Being able to process more requests with fewer resources is also significant from the perspective of Green Computing to reduce carbon emissions.

Coexistence with Kubernetes

Then will Docker and Kubernetes disappear? That is not the case. The infrastructure of 2025 takes a ‘Hybrid’ form. It is a form where general Linux container Pods and Wasm runtimes coexist inside Kubernetes nodes.

For legacy applications that need to run for a long time and have complex library dependencies, Docker containers are still suitable. On the other hand, functions that run shortly and disappear in an Event-driven manner, or microservices requiring extreme performance, are transitioning to Wasm. The fact that Docker Desktop already officially supports Wasm execution and the Kubernetes camp is treating Wasm workloads as first-class citizens through the runwasi project proves this.

What Developers Need to Prepare

The arrival of the Wasm era demands new capabilities from backend developers.

  1. Learning Rust Language: In the Wasm ecosystem, Rust is the de facto standard language (Lingua Franca). It possesses the most powerful toolchain and ecosystem.
  2. Polyglot Programming: Thanks to the Component Model, there is no need to be tied to a single language. Flexibility to choose and use the most suitable language for problem-solving is needed.
  3. Understanding Edge Architecture: The ability to design considering the edge environment where data and logic are distributed, moving away from the centralized server structure, becomes important.

Closing

WebAssembly is not just a technology trend. It is the final puzzle piece that removes the inefficiency of virtualization technologies that have supported cloud infrastructure for the past 10 years and completes the true meaning of ‘Cloud Native’.

A journey towards a lighter, faster, and safer web. Wasm and Edge Computing are lighting the way. Why don’t you start your toy project with Wasm right now? Now that the performance standard of the web is changing, it is the right time to get on board.


TechDepend Cloud Manager Kim Tae-young

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