Serverless is not a silver bullet. Forrest explains several edge cases where serverless computing doesn't (yet) make sense, and introduces the principle of "least compute possible".
The Multi-cloud vision, since the early days of public cloud, has been built up to be a promised-land at the intersection of scale-economics and vendor-agnosticism.
Forrest helps you navigate the murky waters of service discovery for serverless apps in AWS (and learn why Lambda environment variables can be so dangerous)!
AWS had about 9,000 people in house, a packed expo hall, and a whole slate of new feature and service announcements for the San Francisco Summit. Let's break down some key takeaways.
Serverless is often used hand in hand with building APIs whether they be RESTful, GraphQl, or what have you. While this is a typical use case, let's look at other useful ways we can leverage serverless.
AWS SAM and the Serverless Framework go head to head in our latest five-minute episode, where we discuss the challenges of deploying complex serverless apps on AWS.
Cold starts, concurrency limits, traffic spikes, or database connection pooling, everyone at some point has to at least consider performance in serverless systems at scale.
If you want to go serverless, you have to show why it helps your business win. And one way we can answer that question, not the only way, is by looking at cost.
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About Think FaaS with Trek10
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Learn about the world of serverless computing in less time than it takes to run an AWS Lambda function to run.