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AI-Driven Microservice Automation

Dzone - DevOps

I have been using a new open-source platform, API Logic Server (an open-source project on GitHub) to deliver API microservices for a client. spreadsheet-like rules), security, react-admin UI, and an Open API (Swagger) documentation. It is an open-source Python platform based on SQLAlchemy 2.0,

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10 open-source Kubernetes tools for highly effective SRE and Ops Teams

Abhishek Tiwari

Here we present a list of 10 open-source Kubernetes tools to make your SRE and Ops teams more effective to achieve their service level objectives. auto-completion of commands, auto-suggestions, in-line documentation. Kube-ops-view. Kube-ops-view provides a common operational view for multiple Kubernetes clusters. Related tools.

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Open-Sourcing Metaflow, a Human-Centric Framework for Data Science

Netflix Tech

by David Berg , Ravi Kiran Chirravuri , Romain Cledat , Savin Goyal , Ferras Hamad , Ville Tuulos tl;dr Metaflow is now open-source! For a comprehensive overview of all features of Metaflow, take a look at our documentation at docs.metaflow.org. Get started at metaflow.org.

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Open Sourcing the Netflix Domain Graph Service Framework: GraphQL for Spring Boot

Netflix Tech

By Paul Bakker and Kavitha Srinivasan , Images by David Simmer , Edited by Greg Burrell Netflix has developed a Domain Graph Service (DGS) framework and it is now open source. Comprehensive documentation is available on the website but let’s walk through an example to show you how easy it is to use this framework.

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Azure container Apps: The future of Microservices in Azure?

Xebia

Their focus was to build a solution that makes it easier for development teams to build Microservice architecture-based applications and deploy those to Azure. What are the features that development teams want when building and hosting microservices? Microservices using Dapr in Azure Container Apps.

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The future of Cloud-native software development with Radius

Xebia

Microservices Building on the principles of SOA, Microservices architecture further decomposed applications into self-contained autonomous business capabilities. Each Microservice focused on a specific business function and could be independently developed, deployed, and scaled. What is Radius and how does it help developers?

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Build a multi-tenant generative AI environment for your enterprise on AWS

AWS Machine Learning - AI

Each component in the previous diagram can be implemented as a microservice and is multi-tenant in nature, meaning it stores details related to each tenant, uniquely represented by a tenant_id. This in itself is a microservice, inspired the Orchestrator Saga pattern in microservices. This logic sits in a hybrid search component.