AWS Machine Learning - AI

NOVEMBER 7, 2024

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.

Generative AI 111

Generative AI AWS Enterprise Artificial Inteligence 111

Xebia

AUGUST 29, 2023

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.

AWS 130

AWS Load Balancer Microservices Lambda 130

RapidValue

OCTOBER 12, 2020

Over the past few years, we have witnessed that the use of Microservices as a means of driving agile best practices and accelerating software delivery, has become more and more commonplace. Key Features of Microservices Architecture. Microservices architecture follows the decentralized data management.

Microservices 53

Microservices AWS Architecture Applications 53

O'Reilly Media - Ideas

DECEMBER 21, 2018

AWS System Administration — Federico Lucifredi and Mike Ryan show developers and system administrators how to configure and manage AWS services, including EC2, CloudFormation, Elastic Load Balancing, S3, and Route 53.

AWS 67

AWS Resources Lambda Serverless 67

Mobilunity

APRIL 22, 2025

Below are the key related technologies: serverless computing, microservices architectures, and AI-driven automation tools. Serverless Architectures (Function-as-a-Service, FaaS) AWS Lambda / Azure Functions / Google Cloud Functions These platforms allow to run code without provisioning or managing servers.

DevOps 40

DevOps Software Review Development Team Review Technical Review 40

Altexsoft

AUGUST 31, 2021

Microservices and API gateways. It’s also an architectural pattern, which was initially created to support microservices. A tool called load balancer (which in old days was a separate hardware device) would then route all the traffic it got between different instances of an application and return the response to the client.

Microservices 64

Microservices Serverless How To Load Balancer 64

CircleCI

OCTOBER 20, 2020

Starting with a collection of Docker containers, Kubernetes can control resource allocation and traffic management for cloud applications and microservices. It is tempting to think that only microservices orchestrated via Kubernetes can scale — you’ll read a lot of this on the internet.

Microservices 69

Microservices Technical Review Load Balancer Azure 69