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

AWS Machine Learning - AI

Shared components refer to the functionality and features shared by all tenants. 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. Generative AI gateway Shared components lie in this part.

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Can VPC Lattice replace AWS Transit Gateway?

Xebia

VPC Lattice offers a new mechanism to connect microservices across AWS accounts and across VPCs in a developer-friendly way. The developers creating the microservices typically don’t like to spend time on network configurations and look for network specialists to set up connectivity. However, it does have consequences.

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A Quick Introduction to Microservices

Perficient

Have you ever thought about what microservices are and how scaling industries integrate them while developing applications to comply with the expectations of their clients? The following information is covered in this blog: Why are Microservices used? What exactly is Microservices? Microservices Features.

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Adding Postgres 16 support to Citus 12.1, plus schema-based sharding improvements

The Citus Data

PostgreSQL 16 has introduced a new feature for load balancing multiple servers with libpq, that lets you specify a connection parameter called load_balance_hosts. You can use query-from-any-node to scale query throughput, by load balancing connections across the nodes. Postgres 16 support in Citus 12.1

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Moving to the Cloud: Exploring the API Gateway to Success

Daniel Bryant

When we talk about both technologies, we refer to the end user’s experience in achieving a successful API call within an environment. In this article, you will learn about service discovery in microservices and also discover when you should use an API gateway and when you should use a service mesh.

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Navigating API Challenges in Kubernetes

Dzone - DevOps

This article explores these challenges, discusses solution paths, shares best practices, and proposes a reference architecture for Kubernetes-native API management. This makes it ideal for microservices, especially in large, complex infrastructures where declarative configurations and automation are key.

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AoAD2 Practice: Evolutionary System Architecture

James Shore

Your network gateways and load balancers. There’s no Kubernetes, no Docker, no microservices, no autoscaling, not even any cloud. Microservices and Monoliths. Microservices are the most common reason I see for complex system architectures. That careful modularity will always break down, microservice proponents say.