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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 supports Amazon Linux 2023 as an AWS launch partner

Dynatrace

Available directly from the AWS Marketplace , Dynatrace provides full-stack observability and AI to help IT teams optimize the resiliency of their cloud applications from the user experience down to the underlying operating system, infrastructure, and services. How does Dynatrace help?

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What is serverless computing? Driving efficiency without sacrificing observability

Dynatrace

Traditional computing models rely on virtual or physical machines, where each instance includes a complete operating system, CPU cycles, and memory. There is no need to plan for extra resources, update operating systems, or install frameworks. The provider is essentially your system administrator. Pay Per Use.

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How to overcome the cloud observability wall

Dynatrace

You may be using serverless functions like AWS Lambda , Azure Functions , or Google Cloud Functions, or a container management service, such as Kubernetes. Monolithic applications earned their name because their structure is a single running application, which often shares the same physical infrastructure. Let’s break it down.

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The Easiest Way to Compute in the Cloud – AWS Lambda

All Things Distributed

So we challenged ourselves to come up with an easy way to run applications without having to manage the underlying infrastructure and without giving up on the flexibility to run the code that developers wanted. Our answer is a new compute service called AWS Lambda.

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Platform Engineering Teams Done Right…

Adrian Cockcroft

The next layer is operating system platforms, what flavor of Linux, what version of Windows etc. Above that there’s a deployment platform such as Kubernetes or AWS Lambda. The layers of platforms start at the bottom with hardware choices such as which CPU architectures and vendors you want to use.

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Weighing a microservices approach means covering all architecture bases

Dynatrace

Smaller teams can launch services much faster using flexible containerized environments, such as Kubernetes, or serverless functions, such as AWS Lambda, Google Cloud Functions, and Azure Functions. VMs require their own operating system and take up additional resources. Service mesh. Real user monitoring (RUM). Auto-discovery.