@module-federation/aegis

ÆGIS

See the aegis-host repo for documentation and a working example of a federation server.

Consolidate your microservices

• for decreased footprint,
• better performance and
• simpler operations

without loosing

• deployment independence,
• language independence
• or component independence (i.e. components remain decoupled)

Or distribute your components

• dynamically and adaptively
• outside the datacenter and beyond the edge

with

• non-functional, boilerplate code done for you
  • dynamically generated APIs and datasources
  • transparent integration
  • built-in, pluggable, observable, self-forming service mesh
  • autonomous self-administration (e.g. CA certs provisioned/renewed programmatically)
  • exhaustive portability: Aegis can run as a server, cluster, or serverless function, in the datacenter, on the edge and beyond (phone, drone, arduino)
• and capabilities that enhance the development experience
  • comprehensive, rapid deployment (deploy in seconds to any compute primitive: serverless, container, etc)
  • runtime binding and hot reload (e.g. add new functionality on the fly, switch from MongoDB to Etherium live)
  • zero downtime, zero installation, independent deployment (even for components running in the same process together)
  • Polyglot, portable, containerless, sandboxed modules run at near native speeds
  • decentralized, scalable, highly composable, "tessellated" architecture

And do it all without deployment automation.

You don't need that anymore.

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Using ÆGIS

Install

npm i @module-federation/aegis

Contribute

git clone https://github.com/module-federation/aegis
cd aegis
yarn
yarn build
yarn link 

cd ..

git clone https://github.com/module-federation/aegis-host
cd aegis-host
cp dotenv.example .env
yarn
yarn link "@module-federation/aegis"
yarn build
yarn start
yarn demo

Current work

• More WebAssembly features
• Run on WasmEdge runtime
• Run in the browser
• Run on wasm3 (for microcontrollers)
• Built-in, pluggable, fast service mesh
• Support for streaming media and realtime AI inference
• Support for QUIC, NDI, WebRTC protocols
• Addt'l datasource adapters: Etherium, Solid Pod
• Support for MLOps
• Adaptive, Autonomous (Re)deployment based on AIOps