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Jabari Holder's Projects

2019-fontys-business-and-it-agility-through-microservice-architecture icon 2019-fontys-business-and-it-agility-through-microservice-architecture

Business and IT agility through microservice architecture powered by containers and cloud Evolving architectures, emerging technology and new cloud services enable new ways to address business challenges with IT solutions. Microservices architecture promises flexibility, scalability, and optimal use of compute resources. This lecture introduces the objectives that microservices are expected to realize and explains how microservices will do that. The lecture describes the key concepts – domain driven design, bounded context, events, statelessness and APIs. It discusses and demonstrates a real implementation of microservices using containers and Kubernetes. Students will do a hands-on with the Kubernetes platform – learning about the container orchestration features that allow microservices to be deployed, scaled, configured, failed over, and upgraded to new versions while maintaining proper routing and load balancing. Students will learn how to make use of Kubernetes for running multiple interacting containers executing applications written in the technology of their choice. The lectures discusses the service mesh and challenges with tracing and end to end monitoring. The relevance of events for decoupled collaboration is discussed and demonstrated. Concepts discussed include workflow choreography, the CQRS data(base) pattern for cross domain data sharing and serverless architecture.

bark icon bark

🔊 Text-Prompted Generative Audio Model

bert icon bert

TensorFlow code and pre-trained models for BERT

bonito icon bonito

A PyTorch Basecaller for Oxford Nanopore Reads

cdqa icon cdqa

An End-To-End Closed Domain Question Answering System.

coqa-demo icon coqa-demo

model running on CoQA dataset including baseline.

detect-gpu icon detect-gpu

Classifies GPUs based on their 3D rendering benchmark score allowing the developer to provide sensible default settings for graphically intensive applications.

drqa-1 icon drqa-1

Reading Wikipedia to Answer Open-Domain Questions

fairseq icon fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

hazardous icon hazardous

Overload Electron path module for asar.unpacked support

k8s-mastery icon k8s-mastery

Repository for the article "Learn Kubernetes in Under 3 Hours"

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