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Update README.md
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README.md

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- non-functional, boilerplate code done for you
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- dynamically generated APIs and datasources
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- transparent integration and persistence
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- AI inference against streaming data in real time (AIoT)
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- dedicated thread pools supporting CPU-bound workloads
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- distributed worklow
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- distributed cache
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- multithreaded design to integrate I/O and CPU-bound workloads
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- shared memory for efficient processing across threads
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- fast streaming using QUIC protocol and async I/0
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- fast streaming based on Async I/O supporting DDS and QUIC protocols
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- in-process, self-forming service mesh supporting data federation and other application services.
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- autonomous self-administration (e.g. CA certs provisioned/renewed programmatically)
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- exhaustive portability: Aegis can run as a server, cluster, or serverless function, in the datacenter, at the edge, and beyond (browser, phone, drone, pi, eventually arduino)
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- and capabilities that enhance the development experience
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- comprehensive, rapid deployment (deploy in seconds to any compute primitive: serverless, container, IoT, etc)
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- self-deployment (deploy in seconds to any compute primitive: serverless, container, IoT, etc)
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- runtime binding and hot reload (e.g. add new functionality on the fly, switch from on-prem to cloud live)
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- zero downtime, zero installation, independent deployment--even for components running in the same process
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- Polyglot, portable, containerless, sandboxed, AoT-compiled modules run safely anywhere, at native speeds

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