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Spend Smarter, Not More: A Guide to AWS Storage Cost Optimization

Xebia

Introduction With an ever-expanding digital universe, data storage has become a crucial aspect of every organization’s IT strategy. S3 Storage Undoubtedly, anyone who uses AWS will inevitably encounter S3, one of the platform’s most popular storage services. Storage Class Designed For Retrieval Change Min.

Storage 147
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As AI scales, infrastructure challenges emerge

CIO

We had integration tools at our company but they were older, outdated tools,” he says. With change comes choice Spirent’s decision to use a public cloud for data storage is a popular approach. And all the infrastructure problems — the storage, connectivity, compute, and latency — will only increase next year.

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CIOs sharpen cloud cost strategies — just as gen AI spikes loom

CIO

He and other industry observers and IT leaders note, however, that an abundance of tools, managed services, and platforms are giving CIOs greater visibility into cloud costs and that alone is helping to lower the bills. After some time, people have understood the storage needs better based on usage and preventing data extract fees.”

Strategy 351
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Revolutionize logo design creation with Amazon Bedrock: Embracing generative art, dynamic logos, and AI collaboration

AWS Machine Learning - AI

Integrating it with the range of AWS serverless computing, networking, and content delivery services like AWS Lambda , Amazon API Gateway , and AWS Amplify facilitates the creation of an interactive tool to generate dynamic, responsive, and adaptive logos. This API will be used to invoke the Lambda function.

Lambda 116
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Learning Lambda — Part 9

Mike Roberts

Scaling and State This is Part 9 of Learning Lambda, a tutorial series about engineering using AWS Lambda. So far in this series we’ve only been talking about processing a small number of events with Lambda, one after the other. Lambda will horizontally scale precisely when we need it to a massive extent.

Lambda 52
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Instrumenting Lambda with Traces: A Complete Example in Python

Honeycomb

We’re big fans of AWS Lambda at Honeycomb. As you may have read , we recently made some major improvements to our storage engine by leveraging Lambda to process more data in less time. Making a change to a complex system like our storage engine is daunting, but can be made less so with good instrumentation and tracing.

Lambda 52
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Accenture creates a regulatory document authoring solution using AWS generative AI services

AWS Machine Learning - AI

The workflow consists of the following steps: A user accesses the regulatory document authoring tool from their computer browser. The application uses the Amplify libraries for Amazon Simple Storage Service (Amazon S3) and uploads documents provided by users to Amazon S3. The following diagram illustrates the solution architecture.