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There may be 50 ways to leave your lover, but there are 17 ways to run containers on AWS. I will now enumerate them.

The frenzy of AWS product releases around re:Invent is terrible for its users. But upending AWS’s cultural cornerstones would be even worse for customers.

Is Amazon Athena right for your organization? Learn about the pros and cons of the serverless query service to see if it makes sense for your use case.

Data processing pipelines have ever-growing requirements for speed and throughput. It’s no longer enough to store data and save it to batch processing at some future time. We need to be able to process data in real time to make snap decisions and get immediate insights.