Remove Engineering Remove Microservices Remove Serverless
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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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FaaS: Evolving to a Truly Serverless Paradigm

DevOps.com

FaaS helps alleviate some of the administration and management issues related to serverless Creating distributed applications demands a thorough understanding of cloud infrastructures and architectures. The current standard is to architect programs into microservices, before deploying […].

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Authentication in Serverless Apps—What Are the Options?

DevOps.com

Serverless applications are growing in popularity among DevOps engineers. They are also commonly used to deploy microservices. However, serverless applications present unique security challenges, one of them being authentication. The post Authentication in Serverless Apps—What Are the Options?

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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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OpsLevel raises $5M to fix DevOps

TechCrunch

Getting engineers on-call was really important for DevOps, but on-call and getting paged about incidents and things, it’s very reactive in nature. “There’s a lot we still need to build to help engineering teams adopt service ownership and unlock the full power of DevOps.” Image Credits: OpsLevel.

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An Architect?s Introduction to Chaos Engineering

Dzone - DevOps

As the rise of microservices and serverless make apps more distributed, potential fault points are rising exponentially. With a microservices architecture, those days are coming to an end. Chaos engineering is a methodology that takes that approach. Your infrastructure will fail. It’s not an if but a when.

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

AWS Machine Learning - AI

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. This in itself is a microservice, inspired the Orchestrator Saga pattern in microservices.