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Can serverless fix fintech’s scaling problem?

CIO

With serverless components, there is no need to manage infrastructure, and the inbuilt tracing, logging, monitoring and debugging make it easy to run these workloads in production and maintain service levels. Financial services unique challenges However, it is important to understand that serverless architecture is not a silver bullet.

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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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Orchestrate generative AI workflows with Amazon Bedrock and AWS Step Functions

AWS Machine Learning - AI

This post discusses how to use AWS Step Functions to efficiently coordinate multi-step generative AI workflows, such as parallelizing API calls to Amazon Bedrock to quickly gather answers to lists of submitted questions. sync) pattern, which automatically waits for the completion of asynchronous jobs.

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Boost productivity by using AI in cloud operational health management

AWS Machine Learning - AI

It uses Amazon Bedrock , AWS Health , AWS Step Functions , and other AWS services. Some examples of AWS-sourced operational events include: AWS Health events — Notifications related to AWS service availability, operational issues, or scheduled maintenance that might affect your AWS resources.

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

Xebia

Cloud modernization has become a prominent topic for organizations, and AWS plays a crucial role in helping them modernize their IT infrastructure, applications, and services. Overall, discussions on AWS modernization are focused on security, faster releases, efficiency, and steps towards GenAI and improved innovation.

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Is Kubernetes Serverless?

Linux Academy

The term “serverless” — the ability to run code without having to choose what to run it on — shares that same overall goal, which is to eliminate the need for a developer of an application to manage infrastructure, and have that taken care of by another service or component. AWS does essentially the same thing with the AWS Fargate service.

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Leveraging Seekable OCI: AWS Fargate for Containerized Microservices

Dzone - DevOps

AWS Fargate's Seekable OCI (SOCI) introduces significant performance enhancement for containerized applications by enabling lazy loading of Docker container images. AWS Fargate is a serverless compute engine that offers many different capabilities:

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