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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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High-performance computing on AWS

Xebia

How does High-Performance Computing on AWS differ from regular computing? For this HPC will bring massive parallel computing, cluster and workload managers and high-performance components to the table. Today’s server hardware is powerful enough to execute most compute tasks. Why HPC and cloud are a good fit? No ageing infrastructure.

AWS 147
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From “Secondary Storage” To Just “Storage”: A Tale of Lambdas, LZ4, and Garbage Collection

Honeycomb

When we introduced Secondary Storage two years ago, it was a deliberate compromise between economy and performance. Compared to Honeycomb’s primary NVMe storage attached to dedicated servers, secondary storage let customers keep more data for less money. Enter AWS Lambda. Today things look very different.

Lambda 86
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Improve DynamoDB query performance using summary data

Xebia

Given this query, the getTotalByOwner function in transaction/lambda/database.ts We can therefore save a bit of storage space by adding a summary every X records (10 in the code example). The post Improve DynamoDB query performance using summary data appeared first on Xebia.

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Techniques and approaches for monitoring large language models on AWS

AWS Machine Learning - AI

However, as these models continue to grow in size and complexity, monitoring their performance and behavior has become increasingly challenging. Monitoring the performance and behavior of LLMs is a critical task for ensuring their safety and effectiveness. The file saved on Amazon S3 creates an event that triggers a Lambda function.

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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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Dynamic Data Processing Using Serverless Java With Quarkus on AWS Lambda (Part 1)

Dzone - DevOps

This was not only about rewriting applications, but the backend data stores were also redesigned in terms of dynamic scalability , high performance, and flexibility for event-driven architecture.