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

AWS Machine Learning - AI

It also uses a number of other AWS services such as Amazon API Gateway , AWS Lambda , and Amazon SageMaker. 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.

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Modernizing on AWS: Strategies, Benefits, and Partnerships with Xebia

Xebia

This involves updating existing systems to take advantage of modern cloud-native architectures, technologies, and best practices, which always follow the six Pillars of AWS Well Architecture Framework: Operational Excellence, Security, Reliability, Performance Efficiency, Cost Optimization, and Sustainability.

AWS 130
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Choice Hotels’ all-in cloud journey to sustainable business value

CIO

based IT team can focus on building business value using a plethora of AWS services, including Amazon Aurora, Amazon SageMaker, Amazon Elastic Kubernetes, as well as other SaaS tools such as Automation Anywhere and IDeaS for the cloud-based revenue management system Choice built called Choice Max, also on AWS.

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9 trends to watch in systems engineering and operations

O'Reilly Media - Ideas

If your job or business relies on systems engineering and operations, be sure to keep an eye on the following trends in the months ahead. Knative vs. AWS Lambda vs. Microsoft Azure Functions vs. Google Cloud. From artificial intelligence to serverless to Kubernetes, here’s what on our radar. Service mesh. Kubernetes.

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Navigating the Landscape of Development Frameworks: A Guide for Aspiring Developers.

Perficient

Java (Spring Boot) : A Java-based framework that simplifies the development of enterprise-level applications with built-in tools for microservices, security, and database integration. Kubernetes : An open-source container orchestration system that automates the deployment, scaling, and management of containerized applications.

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Orchestrate generative AI workflows with Amazon Bedrock and AWS Step Functions

AWS Machine Learning - AI

Using Amazon Bedrock, you can easily experiment with and evaluate top FMs for your use case, privately customize them with your data using techniques such as fine-tuning and Retrieval Augmented Generation (RAG), and build agents that execute tasks using your enterprise systems and data sources.

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170+ live online training courses opened for March and April

O'Reilly Media - Ideas

Get hands-on training in machine learning, microservices, blockchain, Python, Java, and many other topics. Beginner’s Guide to Writing AWS Lambda Functions in Python , March 1. Programming with Java Lambdas and Streams , March 5. Advanced TDD (Test-Driven Development) , March 15. Systems engineering and operations.