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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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Continuous Testing in the Era of Microservices and Serverless Architectures

Dzone - DevOps

The pursuit of speed and agility in software development has given rise to methodologies and practices that transcend traditional boundaries. Continuous testing, a cornerstone of modern DevOps practices, has evolved to meet the demands of accelerated software delivery.

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Can Dynamic Sites Go Serverless?

Netlify

Why I migrated my dynamic sites to a serverless architecture. Moriel is a physicist turned software engineer turned systems architect, currently working on modernizing Wikipedia’s architecture. Like most web developers these days, I’ve heard of serverless applications and Jamstack for a while. So, should I migrate at all?

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Azure container Apps: The future of Microservices in Azure?

Xebia

Looking at the current state of software development, we can conclude a few things: 1. Over the years, containerized workloads have become more and more popular, and we see most mature software companies benefit using containers from the cloud to the edge. Containers are here to stay.

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Ngrok, a service to help devs deploy sites, services and apps, raises $50M

TechCrunch

An open source package that grew into a distributed platform, Ngrok aims to collapse various networking technologies into a unified layer, letting developers deliver apps the same way regardless of whether they’re deployed to the public cloud, serverless platforms, their own data center or internet of things devices.

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

AWS Machine Learning - AI

In the first part of the series, we showed how AI administrators can build a generative AI software as a service (SaaS) gateway to provide access to foundation models (FMs) on Amazon Bedrock to different lines of business (LOBs). This in itself is a microservice, inspired the Orchestrator Saga pattern in microservices.

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Boost productivity by using AI in cloud operational health management

AWS Machine Learning - AI

Operational health events – including operational issues, software lifecycle notifications, and more – serve as critical inputs to cloud operations management. The solution is designed to be fully serverless on AWS and can be deployed as infrastructure as code (IaC) by usingf the AWS Cloud Development Kit (AWS CDK).

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