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AWS serverless services: Exploring your options

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Amazon compute solutions are designed to streamline resource provisioning and container management with two services: AWS Lambda : Lambda provides serverless compute infrastructure that lets you run code in response to predetermined events or conditions and automatically manage all compute resources required for these processes.

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AWS observability: AWS monitoring best practices for resiliency

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AWS Lambda. Lambda is Amazon’s event-driven, functions-as-a-service (FaaS) compute service that runs code when triggered for application and back-end services. AWS Lambda makes it easy to design, run, and maintain application systems without having to provision or manage infrastructure. Watch demo now!

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What is serverless computing? Driving efficiency without sacrificing observability

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AWS Lambda functions are an example of how a serverless framework works: Developers write a function in a supported language or platform. AWS Lambda allows developers to use NodeJS or Python while you can control nearly every detail of a REST API. Pay Per Use. With a pay-per-use model, resources never go to waste.

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Full visibility into your serverless applications with AI-powered Azure Functions monitoring (GA)

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This gives you deep visibility into your code running in Azure Functions, and, as a result, an understanding of its impact on overall application performance and user experience. Code-level visibility continues to be supported for.NET-based functions running in an App Service plan. Optimize your code with code-level visibility.

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What is Google Cloud Functions?

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In recent years, function-as-a-service (FaaS) platforms such as Google Cloud Functions (GCF) have gained popularity as an easy way to run code in a highly available, fault-tolerant serverless environment. GCF also enables teams to run custom-written code to connect multiple services in Node, Python, Go, Java,NET, Ruby, and PHP.

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How to maximize serverless benefits and overcome its challenges

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Popular examples include AWS Lambda and Microsoft Azure Functions , but new providers are constantly emerging as this model becomes more mainstream. Code development also benefits from a serverless approach. Then, they can apply DevSecOps best practices to fully test new code and see what breaks without affecting current operations.

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Full visibility into your serverless applications with AI-powered Azure Functions monitoring (GA)

Dynatrace

This gives you deep visibility into your code running in Azure Functions, and, as a result, an understanding of its impact on overall application performance and user experience. Code-level visibility continues to be supported for.NET-based functions running in an App Service plan. Optimize your code with code-level visibility.