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Evaluating a Microservice Architecture

Tandem

The Future of Microservices The future of microservices is likely to be shaped by several emerging technologies and trends, particularly serverless computing. Serverless computing is a cloud computing model in which the cloud provider manages the infrastructure and automatically allocates resources as needed.

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AoAD2 Practice: Evolutionary System Architecture

James Shore

Evolutionary System Architecture. What about your system architecture? By system architecture, I mean all the components that make up your deployed system. When you do, you get evolutionary system architecture. This is a decidedly unfashionable approach to system architecture.

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Timestone: Netflix’s High-Throughput, Low-Latency Priority Queueing System with Built-in Support…

Netflix Tech

Notice the three Cosmos subsystems: Optimus, an API layer mapping external requests to internal business models, Plato, a workflow layer for business rule modeling, and Stratum, the serverless layer for running stateless and computational-intensive functions. System Architecture Timestone is a gRPC-based service.

System 85
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Hands-on IoT applications with OpenWhisk and Rust

The Agile Monkey

Introduction Serverless computing is a hot topic in technology right now. As a result of this interest, all the main cloud vendors are providing their own serverless solutions. As we mentioned before, OpenWhisk is an event-driven serverless platform. What is OpenWhisk?

IoT 40
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Automating product description generation with Amazon Bedrock

AWS Machine Learning - AI

The system architecture comprises several core components: UI portal – This is the user interface (UI) designed for vendors to upload product images. AWS Lambda – AWS Lambda provides serverless compute for processing. We’ve provided detailed instructions in the accompanying README file. This could be any database of your choice.

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Research Results: Key software architecture metrics

Apiumhub

Without people, we don’t have complete systems architecture. Serverless. . Having such metrics and tools may make architecture checking much faster and less costly. On the other hand, if you are on forecast business, data accuracy is important. So metrics that can be proxied to the business state. Untested code.

Metrics 94
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Journey to Event Driven – Part 4: Four Pillars of Event Streaming Microservices

Confluent

Journey to Event Driven – Part 2: Programming Models for the Event-Driven Architecture. Journey to Event Driven – Part 3: The Affinity Between Events, Streams and Serverless. With event-first design, the data becomes the API which, like any production system, needs to support change and evolution (i.e., Avro or Protobuf ).