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Dynatrace leverages new AWS Lambda extensions for seamless end-to-end observability

Dynatrace

AWS Lambda is the fastest growing technology for serverless workloads and helps developers innovate faster. But serverless functions don’t exist in a vacuum. Figure 1: This is a service flow, showing how a certain microservice depends on a specific Lambda function that fetches real-time data from a public cloud provider.

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

Dynatrace

We’ve worked closely with our partner AWS to deliver a complete, end-to-end picture of your cloud environment that includes monitoring support for all AWS services. Now Dynatrace is pleased to announce another industry first: automatic, end-to-end observability for AWS Lambda functions in Node.js and Python via traces.

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Serverless Development with AWS Lambda and MongoDB Atlas Using Java

The Polyglot Developer

It might make sense to explore serverless functions, like those offered by AWS Lambda, and a cloud database like MongoDB Atlas. Serverless functions are great because you can implement very specific logic in the form of a function and the infrastructure will scale automatically to meet the demand of your users.

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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. Gartner predicts that by 2025, 50% of all global enterprises will have deployed serverless function platforms as a service (fPaaS), up from only 20% today. Lambda worker nodes.

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Serverless Development with Kotlin, AWS Lambda, and MongoDB Atlas

The Polyglot Developer

As seen in a previous tutorial , creating a serverless function for AWS Lambda with Java and MongoDB isn’t too complicated of a task. However, maybe your stack doesn’t consist of Java, but instead Kotlin. What needs to be done to use Kotlin for AWS Lambda and MongoDB development?

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Full visibility into your serverless stack with AI-powered FaaS monitoring

Dynatrace

Application workloads that are based on serverless functions—especially AWS Lambda, Azure Functions, and Google Cloud Functions— are a key trend in cloud-first application development and operations. With a serverless approach, you can build and run applications and services without thinking about servers. Dynatrace news.

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Platform Engineering Teams Done Right…

Adrian Cockcroft

The next layer is defined by the languages you want to use, Java, Python, Go, , Javascript, Rust etc, and the ecosystem of library functions you bought from a vendor or downloaded. The virtualization and networking platform could be datacenter based, with something like VMware, or cloud based using one of the cloud providers such as AWS EC2.