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.
Scalability
Amazon S3 automatically scales storage resources to meet user demands, enabling businesses to store a virtually unlimited amount of data without worrying about capacity constraints.
Durability
Amazon S3 is designed for 99.999999999% (11 9's) durability, ensuring that your data is highly protected against loss and corruption.
Security
Amazon S3 offers robust security features, including encryption at rest and in transit, fine-grained access controls, and integration with AWS Identity and Access Management (IAM).
Integrations
Amazon S3 integrates seamlessly with other AWS services such as EC2, Lambda, and RDS, as well as third-party applications, facilitating a cohesive cloud environment.
Cost-Effectiveness
Amazon S3 offers a range of storage classes, allowing users to optimize costs based on their access patterns, from frequently accessed data to long-term archival storage.
Global Availability
Amazon S3 is available in multiple regions worldwide, providing low latency and high availability for users around the globe.
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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 / 1 day 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 / 19 days 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 / about 1 month ago
Some data sources are protected by some form of credentials. Unless the data source is a public website or stored in another AWS resource such as Amazon S3, Kendra or your custom data source will need credentials to fetch data. In either case, AWS Secrets Manager can be used to securely manage your credentials. - Source: dev.to / about 1 month ago
📌 Learn about S3: https://aws.amazon.com/s3/. - Source: dev.to / about 1 month ago
We (human users, applications, it doesn't matter) upload files to an S3 bucket. We want to detect Personally Identifiable Information (PII) in the new files, and if we find any, we want to immediately trigger a workflow that masks the sensitive information. Since we don't want to expose PII to our users working with the data, we need a dedicated storage (a data lake) that doesn't contain sensitive information.... - Source: dev.to / 2 months ago
Static websites, I believe it is one of the easiest and cheapest things to have on AWS. We could simply just use an S3 bucket and put all the output generated by Zola there and call it a day but this is neither elegant nor cost-effective. - Source: dev.to / 2 months ago
When you update a stack after changing a resource’s ID, CloudFormation creates a new resource with the new logical ID and, by default, attempts to delete the old one. This behaviour can be problematic, especially if the resource is part of a heavily used application. For example, changing the logical name of an S3 bucket requires migrating all objects from the old bucket to the new one. This can be inconvenient. - Source: dev.to / 3 months ago
These days, AI has become pretty much synonymous with collecting and maintaining large amounts of data. This data is typically stored in a central location and accessed at multiple different phases of the AI application development. An important factor in designing a data storage solution is the speed and efficiency at which the data can be accessed, as this can have a meaningful impact on the speed and cost of... - Source: dev.to / 3 months ago
Daily Grant Updates: The backend code, running on AWS Lambda, pulls XML grant data directly from Grants.gov’s daily updates, parses it to make sure we only search grants with closing dates in the future, and then stores the days database in AWS S3 so we don't overburden Grants.gov's servers. - Source: dev.to / 3 months ago
Litestream is the gold standard for replicating SQLite databases to S3. There are many S3-compatible storage options available. I currently ship a replica to both Cloudflare R2 and Hetzner Object Storage just in case. Backblaze B2 is another option, as is AWS S3, obviously. - Source: dev.to / 3 months ago
Nickname implies it's unofficial, but S3 is very much the product name too: https://aws.amazon.com/s3/. - Source: Hacker News / 4 months ago
I mean, it may be true in practice that most S3 workloads are throughput oriented and unconcerned with latency. But if you look at https://aws.amazon.com/s3/ it says things like: "Object storage built to retrieve any amount of data from anywhere" "any amount of data for virtually any use case" "S3 delivers the resiliency, flexibility, latency, and throughput, to ensure storage never limits performance" So... - Source: Hacker News / 5 months ago
LanceDB's underlying optimized storage format, lance, is flexible enough to be supported by various storage backends, such as local NVMe, EBS, EFS, S3 and other third-party APIs that connect to the cloud. - Source: dev.to / 5 months ago
Amazon S3 — Object storage built to retrieve any amount of data from anywhere. - Source: dev.to / 6 months ago
AWS S3 and CloudFront host and deliver artifacts globally with low latency. - Source: dev.to / 7 months ago
If your SaaS platform involves file uploads or media storage, AWS S3 provides scalable cloud storage at low cost. You can find it here. - Source: dev.to / 8 months ago
3.Web Storage: Represents external storage services like GitHub or S3, where Wasm packages can be publicly stored and downloaded from. - Source: dev.to / 8 months ago
All cloud providers offer some variations of file bucket services. These file bucket services allow users to store and retrieve data in the cloud, offering scalability, durability, and accessibility through web portals and APIs. For instance, AWS offers Amazon Simple Storage Service (S3), GCP offers Google Cloud Storage, and DigitalOcean provides Spaces. However, if unsecured, these file buckets pose a major... - Source: dev.to / 9 months ago
When I began my journey as a software engineer, one of my biggest questions was how to handle images in APIs. Along the way, I learned that it's considered best practice to store images in a storage service, such as Cloudinary or Amazon S3, and only save the URL of the image in our database. - Source: dev.to / 9 months ago
Infrastructure Abstraction: Modern data infrastructure typically at the very minimal implements at-rest and in-transit encryption, along with permissions control, audit logs, and other security measures. However, this is often insufficient for data infrastructure, as data continues to be stored in its raw format in data lake storage like Snowflake or S3. If any security control fails at the data store level, such... - Source: dev.to / 9 months ago
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