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techsavvypriya.wordpress.com | ||
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github.com
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| | | | | This repository demonstrates how to build and deploy an AI agent using Amazon Bedrock and AWS Lambda, with infrastructure managed by AWS CDK in TypeScript. The AI agent is designed to interact with the National Park Service (NPS) API to fetch information about national parks based on user input, such as a state code. - cebert/examples-ai-bedrock-agent-national-parks | |
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bill.burkecentral.com
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| | | | | Quarkus Funqy is a new FaaS API that is portable across cloud runtimes like AWS Lambda, Azure Functions, Knative Events, and Google Cloud Functions. Or, if you're deploying to a traditional environment, Funqy functions can work standalone as well. public class MyClass { @Funq public Greeting greet(String name) { ... } } The idea of... | |
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schadokar.dev
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| | | | | Setup serverless framework and create a hello function using the serverless template and deploy it on the cloud. | |
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werat.dev
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| | | Benchmarks are often underestimated and don't get the same attention as tests. However "performance is a feature" and when something is not tested it might as well be just broken. If the performance is not measured/tracked regressions are inevitable. Modern tooling makes it really easy to write benchmarks. Some languages have built-in support, for example, Rust comes with cargo bench (docs) and Go has go test -bench (docs). For C++ there is google/benchmark - not as streamlined as having it built into the language infrastructure, but still definitely worth the effort. | ||
