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 Hackerman.AI. While we know about 197 links to Amazon S3, we've tracked only 3 mentions of Hackerman.AI. 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.
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 / 16 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 / 22 days 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 1 month 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 2 months 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 2 months ago
We are building a local reconfigurable ai-powered text editor from scratch to avoid this sort of issues (not the only reason, but adds to the pile) we have a waitlist here: https://hackerman.ai you will likely need to pay for it at some point (not subscription tho, so all good). - Source: Hacker News / 11 months ago
Hackerman.ai to learn specific code snippets such as algorithms (for interview prep) and add comments to code without comments (if learning by reading code). Source: almost 2 years ago
Check it out here -> https://hackerman.ai/. Source: almost 2 years ago
Google Cloud Storage - Google Cloud Storage offers developers and IT organizations durable and highly available object storage.
domdb - Park your domain in less than 15 seconds
Wasabi Cloud Object Storage - Storage made simple. Faster than Amazon's S3. Less expensive than Glacier.
NumPad - A web-based text editor with a powerful built-in calculator
AWS Lambda - Automatic, event-driven compute service
Go Micro - A Go microservices development framework. Contribute to micro/go-micro development by creating an account on GitHub.