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What is AWS Lambda?

Dynatrace

The 2014 launch of AWS Lambda marked a milestone in how organizations use cloud services to deliver their applications more efficiently, by running functions at the edge of the cloud without the cost and operational overhead of on-premises servers. What is AWS Lambda? Where does Lambda fit in the AWS ecosystem?

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Dynatrace Support for AWS Lambda Functions Powered by x86 and AWS Graviton2

Dynatrace

Dynatrace is proud to partner with AWS to support AWS Lambda functions powered by x86-based processors and Graviton2 Arm-based processors announced earlier this year. According to the official AWS announcement, Graviton2-based Lambda functions offer up to 34% better price-performance improvement.

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AWS serverless services: Exploring your options

Dynatrace

Amazon Web Services (AWS), offers a wide range of serverless solutions. To get a better understanding of AWS serverless, we’ll first explore the basics of serverless architectures, review AWS serverless offerings, and explore common use cases. AWS serverless offerings. Why use a serverless architecture? Simplicity.

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Common use-cases for AWS Lambda in the enterprise (and how to get observability for them)

Dynatrace

AWS Lambda is enormously popular amongst our customers and while it was once perceived as just a new toy for startups who wanted to be at the cutting edge of technology, we’ve seen that many enterprise customers are now adding Lambda functions to their stacks. A quick primer on Lambda functions. Dynatrace news.

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Common use-cases for AWS Lambda in the enterprise (and how to get observability for them)

Dynatrace

AWS Lambda is enormously popular amongst our customers and while it was once perceived as just a new toy for startups who wanted to be at the cutting edge of technology, we’ve seen that many enterprise customers are now adding Lambda functions to their stacks. A quick primer on Lambda functions. Dynatrace news.

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Serverless Development with AWS Lambda and MongoDB Atlas Using Java

The Polyglot Developer

So you need to build an application that will scale with demand and a database to scale with it? It might make sense to explore serverless functions, like those offered by AWS Lambda, and a cloud database like MongoDB Atlas.

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What is serverless computing? Driving efficiency without sacrificing observability

Dynatrace

REST APIs, authentication, databases, email, and video processing all have a home on serverless platforms. AWS Lambda functions are an example of how a serverless framework works: Developers write a function in a supported language or platform. Connecting edge services in the cloud (for example, AWS for the Edge ).