You can create a release to package software, along with release notes and links to binary files, for other people to use. Learn more about releases in our docs.

This project gives an example of extending the base functionality of Amazon EMR to provide a more secure (and potentially compliant) working environment for running Spark workloads on Amazon EMR.

Serverless computing is emerging as a core component of modern cloud strategies. By 2025, emerging trends will redefine its role in cloud ecosystems, driving efficiency, scalability, and innovation.

With serverless computing, a cloud provider manages the servers. You upload your code, and the provider ensures it runs when needed. Large technology companies like Amazon, Microsoft and Google ...

such as Amazon SageMaker—the de facto standard for working with data and building ML models—Amazon EMR, Amazon Redshift, Amazon S3 data lakes, and AWS Glue. The next generation of SageMaker brings ...

Ever since an Amazon subscription became a thing back in 2005, the service from the world’s largest online retailer has grown from a modest offering to one of the most popular services that ...

Now that we've discussed the server design pattern, let’s look at a second pattern: serverless. A serverless function is a small bit of code that behaves as an event handler. It starts when a ...

Amazon’s AWS cloud computing unit today announced Amazon Aurora DSQL, a new serverless, distributed SQL database that promises high availability (99.999% for multi-region availability), strong ...