Rodrigo Prado’s Post

Learn how to transfer customer-managed SSE-KMS encrypted objects across AWS accounts and Regions using AWS DataSync via Colin Lavallee on Amazon Web Services (AWS) https://lnkd.in/dcFcAc9f #aws #awscloud

AWS now offers Parameter Store cross-account sharing, allowing you to securely share parameters across AWS accounts to simplify configuration management and improve operational efficiency via Neville Lewis on Amazon Web Services (AWS) https://lnkd.in/dMqwNwN8 #aws #awscloud

Let take a look into one of the most popular cloud storage services used by software developers. This article will show you the main concepts of Amazon S3, how you can upload files to S3 with a Presigned url. 🔔 #SaigonTechnology

✅ Let take a look into one of the most popular cloud storage services used by software developers. This article will show you the main concepts of Amazon S3, how you can upload files to S3 with a Presigned url. ✅ #SaigonTechnology

In this post, we explore a pattern for compacting (or combining) large collections of small files into fewer, larger objects using AWS Step Functions. Compaction offers an alternative to archival-based solutions such as compressing and archiving logs stored in Amazon S3 and Amazon S3 Tar. By compacting many small objects together, they become large enough to exceed the 128 KB file size, resulting in lower management costs. Additionally, ad-hoc query performance is improved, and queries are executed in-place without making changes to existing code or tools. #AWS #AmazonWebServices #AWSBlogs #Cloud #CloudComputing https://lnkd.in/d9wwNYZv

Let take a look into one of the most popular cloud storage services used by software developers. This article will show you the main concepts of Amazon S3, how you can upload files to S3 with a Presigned url. ✅

Learn how to optimize storage costs and query performance by compacting small log files into larger objects using AWS Step Functions via Josh Hart, Kim Banga, and Thomas Moore on Amazon Web Services (AWS) https://lnkd.in/dhR7BwsT #aws #awscloud

The post discusses ways to reduce costs by migrating to Amazon DocumentDB 5.0. It then demonstrates the document compression feature in Amazon DocumentDB to reduce storage and I/O cost. #aws #awscloud #cloud #advanced300 #amazondocumentdb #bestpractices #technicalhowto #databaseperformance #improvequeryperformance

Let take a look into one of the most popular cloud storage services used by software developers. This article will show you the main concepts of Amazon S3, how you can upload files to S3 with a Presigned url. ⬇

🚀 Unlocking Superior Performance with Bare-Metal.io: A Comparative Study with AWS by ChistaData with a ClickHouse benchmark on bare metal🚀 In the ever-evolving landscape of big data and real-time analytics, infrastructure choice plays a pivotal role in database management system performance and cost-efficiency. Our recent benchmarking exercise conducted by ChistaData compares the performance of ClickHouse on AWS EC2 and a bare metal server provided by Bare-Metal.io. The comparative analysis offers insightful revelations about the advantages of leveraging bare metal servers for ClickHouse hosting. Check out the full article to explore: -Benchmarking Methodology: ClickBench Comparison Report -Infrastructure Spotlight: Bare-Metal.io vs. Amazon EC2 -Benchmark Results: A Comparative Analysis -Cost-Effective Analytics: A Pricing Comparison between Bare-Metal.io and AWS -Conclusion: The Bare-Metal Advantage Read the full article to discover how Bare-Metal.io offers superior performance at a fraction of the cost compared to AWS, making it the go-to choice for high-performance analytics. https://lnkd.in/g7NPkwGh #BareMetalio #CloudComputing #BigData #Analytics #Performance #AWS #ChistaData