Amazon S3 (Amazon Simple Storage Service) is the storage platform by Amazon Web Services (AWS) that provides an object storage with high availability, low latency and high durability. S3 can store any type of object and can serve as storage for internet applications, backups, disaster recovery, data archives, big data sets and multimedia.
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Based on our record, Amazon S3 seems to be a lot more popular than Mountpoint for Amazon S3. While we know about 198 links to Amazon S3, we've tracked only 4 mentions of Mountpoint for Amazon S3. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
In this post, we will describe our first impressions of Mountpoint for Amazon S3 - a new open-source solution for interfacing with cloud storage - and assess its performance on two use cases that are of particular interest to us: streaming sequential blocks of a relatively large data files (as detailed here) and consuming a large number of relatively small data files (as detailed here). For the sake of brevity, we... - Source: dev.to / 4 months ago
How does this compare to https://github.com/awslabs/mountpoint-s3 ? - Source: Hacker News / 6 months ago
... Or does "S3 file system" mean https://github.com/awslabs/mountpoint-s3 - a Rust project by AWS Labs that provides "a simple, high-throughput file client for mounting an Amazon S3 bucket as a local file system" ? - Source: Hacker News / about 1 year ago
Mountpoint-s3 is AWS’ first party solution for mounting s3 buckets as file systems: https://github.com/awslabs/mountpoint-s3 Haven’t used it but it looks cool, if a bit immature. - Source: Hacker News / over 1 year ago
Takeaway: S3 is feature-rich and great for complex workflows. Cloud Storage is simpler and faster for global access. Explore S3 documentation. - Source: dev.to / 3 days ago
To address this, the team introduced a conditional frontend build mechanism. Using git diff with the three-dot notation, it detects whether a PR includes frontend changes compared to the main branch. If no changes are detected, the frontend build step is skipped, reusing a prebuilt version stored in AWS S3 and served via an internal Content Delivery Network (CDN). - Source: dev.to / 25 days ago
In this article, we present an architecture that demonstrates how to collect application logs from Amazon Elastic Kubernetes Service (Amazon EKS) via Vector, store them in Amazon Simple Storage Service (Amazon S3) for long-term retention, and finally query these logs using AWS Glue and Amazon Athena. - Source: dev.to / about 1 month ago
Iceberg has quietly become the foundation of the modern data lakehouse. More and more engineering teams are adopting it to store and manage analytical data in cloud storage — like Amazon S3, Google Cloud Storage, or Azure Data Lake Storage — while freeing themselves from the limitations of closed systems. - Source: dev.to / about 2 months ago
AWS Lambda is perfect for applications that process images due to its integration with AWS S3, an object storage service. A good example is an e-commerce application that renders images in different sizes. Here are the top features:. - Source: dev.to / 2 months ago
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