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A look behind the scenes of AWS Lambda and our new Lambda monitoring extension

Dynatrace

Since its introduction by AWS in 2014, AWS Lambda has revolutionized the compute space and boosted the entire serverless movement. Dynatrace has offered a Lambda code module for Node.js since 2017, and many customers have used it with great success while we collected requirements for the next iteration of our Lambda extension.

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Dynatrace launches automatic end-to-end observability via traces for AWS Lambda (Preview program)

Dynatrace

Now Dynatrace is pleased to announce another industry first: automatic, end-to-end observability for AWS Lambda functions in Node.js By leveraging the AWS Lambda Extensions API , Dynatrace brings the unique value of its Davis AI-engine for fully automatic root cause analysis to AWS Lambda. and Python via traces.

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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. Auto scaling.

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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. Auto scaling.

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Build and operate multicloud FaaS with enhanced, intelligent end-to-end observability

Dynatrace

These functions are executed by a serverless platform or provider (such as AWS Lambda, Azure Functions or Google Cloud Functions) that manages the underlying infrastructure, scaling and billing. Data analysis : how to process, aggregate and query observability data from serverless functions effectively, accurately, and comprehensively?

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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. The Serverless Process. AWS Lambda functions are an example of how a serverless framework works: Developers write a function in a supported language or platform. Data usage, request handling, and processing time accumulate.

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Accelerate your cloud journey with Dynatrace observability for AWS S3 logs

Dynatrace

This is achieved either by Dynatrace AWS S3 forwarder or log processing mechanisms in Dynatrace. If so, stay tuned for more news about direct AWS Kinesis Data Firehose configuration in AWS console. Or explore the recently introduced support for AWS Lambda logs.

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