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AWS Lambda Benchmarking

Xebia

In this blog post, we examine the relative costs of different language runtimes on AWS Lambda. Many languages can be used with AWS Lambda today, so we focus on four interesting ones. Rust just came to AWS Lambda in November 2023 , so probably a lot of folks are wondering whether to try it out. We choose Rust.

Lambda 130
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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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Storm in the stratosphere: how the cloud will be reshuffled

Erik Bernhardsson

We currently have cloud vendors that offer end-to-end solutions from the developer experience down to the hardware: What if cloud vendors focus on the lowest layer, and other (pure software) vendors on the layer above? This isn't exactly a new idea—Heroku launched in 2007, and AWS Lambda in 2014. Databases, running code, you name it.

Cloud 351
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A serverless glossary

Stackery

With Serverless, it’s not the technology that’s hard, it’s understanding the language of a new culture and operational model. Serverless architecture has coined some new terms and, more confusingly, re-used a few older terms with new meanings. This glossary will clarify some of them. We call it Cloudlocal, try it for yourself.

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Innovative data integration in 2024: Pioneering the future of data integration

CIO

Serverless data integration The rise of serverless computing has also transformed the data integration landscape. According to a recent forecast by Grand View Research, the global serverless computing market is expected to reach a staggering $21.4 billion by 2025. This can impact performance for infrequently used integrations.

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We are still early with the cloud

Erik Bernhardsson

But we don't: When I compile code, I want to fire up 1000 serverless container and compile tiny parts of my code in parallel. These low-level primitives will still be there of course, under the hood, and some people will still think about hardware interrupts and dangling pointers. Fewer constraints. Lower costs. Vertical toys.

Cloud 273
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GenAI sticker shock sends CIOs in search of solutions

CIO

By understanding their options and leveraging GPU-as-a-service, CIOs can optimize genAI hardware costs and maintain processing power for innovation.” Richer also believes that cloud-based GPU access will help enterprises free up IT resources for other critical tasks and “potentially streamline the development process for genAI projects.”