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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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Why Object Storage is Best for Cloud-Native Apps

DevOps.com

A crucial question that plagues cloud application developers is, “What kind of storage should we use for our app?” Unlike other choices like compute runtimes—Lambda/serverless, containers or virtual machines—data storage choice is highly sticky and makes future application improvements and migrations much harder.

Storage 125
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Build a Serverless Application for Entity Detection on AWS

Dzone - DevOps

In this blog post, you will learn how to build a Serverless solution for entity detection using Amazon Comprehend , AWS Lambda , and the Go programming language. Text files uploaded to Amazon Simple Storage Service (S3) will trigger a Lambda function which will further analyze it, extract entity metadata (name, type, etc.)

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Build a Serverless Application for Audio-To-Text conversion

Dzone - DevOps

In this blog post, you will learn how to build a Serverless speech-to-text conversion solution using Amazon Transcribe , AWS Lambda , and the Go programming language.

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Build a Serverless Application for Image Label Detection

Dzone - DevOps

In this blog post, you will learn how to build a Serverless solution to process images using Amazon Rekognition , AWS Lambda and the Go programming language.

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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. To be alerted about future installments subscribe to our newsletter , follow Symphonia on twitter @symphoniacloud , and our blog at The Symphonium. Lambda will scale down just as easily as it scales up.

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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.

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