#DEV-OPS 2 min read
LAB ENVIRONMENT SPEC

• Kernel: Linux 6.12.4-generic (cgroup v2)

• Shim: containerd.wasmedge.v1

• Architecture: x86_64 & AArch64

Docker 28.0 Released: Native WasmEdge Execution Without Virtualization

SO
System Operations Lab Infrastructure & Runtimes
Oct 23, 2026 Release v28.0.0-rc3
1. THE SIGNAL

Docker 28.0 integrates the WasmEdge runtimeA high-performance WebAssembly virtual machine optimized for serverless microservices and edge compute with POSIX/WASI compliance. directly into containerd v2. Edge microservices now cold-boot in 12 milliseconds without spinning up a Linux kernel, cgroups, or virtual rootfs.

02. containerd v2 Shim vs Linux Namespaces

The critical breakthrough in Docker 28.0 is the complete elimination of overlayfs layersA union mount filesystem that combines multiple directories into a single unified root filesystem, creating significant disk I/O overhead during container boot. for WASI targets. In standard container architecture, containerd must initialize union mounts, configure network bridge interfaces, and mount procfs.

Container Initialization Latency Breakdown
Docker Alpine Linux (runc): 680 ms
Docker 28.0 WasmEdge: 12.4 ms (54x faster)
docker-run-wasmedge.sh
# 1. Run native WebAssembly module directly without guest kernel docker run -d \ --name wasm-microservice \ --runtime=io.containerd.wasmedge.v1 \ --platform=wasi/wasm \ -p 8080:8080 \ ghcr.io/syntaxradar/rust-telemetry-service:v28 # 2. Inspect runtime telemetry: 0 kernel memory allocated docker stats wasm-microservice --no-stream CONTAINER ID NAME MEM USAGE / LIMIT MEM % PIDS d8291bf028ac wasm-microservice 2.14MiB / 64GiB 0.00% 1

Edge Microservice Concurrency Calculator

RAM FOOTPRINT
Concurrent Serverless Instances: 100 instances
10 250 500 1000 max
Alpine Linux Containers (48MB each): 4.8 GB RAM
Docker 28.0 WasmEdge (2.1MB each): 0.21 GB RAM (-95.6%)
✓ 4.59 GB host RAM freed for application cache
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