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Building an automated unit testing pipeline for serverless applications

CircleCI

This tutorial covers: Using the Jest framework to set up unit testing for a serverless application. The Serverless framework is an open-source framework written in Node.js It frees you from worrying about how to package and deploy the application to the cloud, so you can focus on your application logic.

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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. She’s an open source enthusiast, right-to-left language support evangelist, and a general domain hoarder.

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Serverless Cloud – Why you should consider going serverless?

Trigent

serverless. This paved the way for application containers where instead of creating separate instances of the OS for each application, they just made secure spaces for them to run while broadly sharing the OS resources. Enter serverless computing. If things failed, it was NOT due to provisioning and capacity.

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ANNOUNCEMENT — Stackery Expands Serverless Security and Continuous Delivery Capabilities

Stackery

With additional audit capabilities, scoped IAM permissions, and secrets management for automated verification and deployment pipelines, Stackery helps teams scale serverless usage and accelerate modernization and innovation projects. The Speed of Serverless with Enterprise Security and Governance. and safety check for Python. .

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Going Serverless: Where to Start

Linux Academy

What is serverless framework? The Serverless Framework is an open-source project that replaces traditional platforms (hardware, operating systems) with a platform that can run in a cloud environment. Serverless is beneficial as it lets you focus on delivering a product, rather than managing typical IT problems.

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The Anatomy of a Secure Serverless Platform — Delivery

Stackery

To me, serverless represents a movement towards specializing in providing best-in-class infrastructure so developers can spend less time thinking about virtual machines or containers and more time focussing on the hard work of designing, developing, and delivering distributed applications that operate on the public internet.

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4 paths to sustainable AI

CIO

Concerns that AI contributes to global warming stem from estimates that GPUs used to develop and keep AI models running use four times as much energy as those serving conventional cloud applications, and that AI could be on track to use as much electricity as Ireland. We see it as a recruiting and retention factor.” Our theory is no.