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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?

Lambda 178
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How to overcome the cloud observability wall

Dynatrace

As cloud environments become increasingly complex, legacy solutions can’t keep up with modern demands. As a result, companies run into the cloud complexity wall – also known as the cloud observability wall – as they struggle to manage modern applications and gain multicloud observability with outdated tools.

Cloud 223
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Dynatrace supports Amazon Linux 2023 as an AWS launch partner

Dynatrace

Amazon’s new general-purpose Linux for AWS is designed to provide a secure, stable, and high-performance execution environment to develop and run cloud applications. Saving your cloud operations and SRE teams hours of guesswork and manual tagging, the Davis AI engine analyzes billions of events in real time.

AWS 278
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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. VMware commercialized the idea of virtual machines, and cloud providers embraced the same concept with services like Amazon EC2, Google Compute, and Azure virtual machines.

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The Easiest Way to Compute in the Cloud – AWS Lambda

All Things Distributed

At AWS we innovate by listening to and learning from our customers, and one of the things we hear from them is that they want it to be even simpler to run code in the cloud and to connect services together easily. Our answer is a new compute service called AWS Lambda.

Lambda 136
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Platform Engineering Teams Done Right…

Adrian Cockcroft

We used this model effectively at Netflix when I was their cloud architect from 2010 through 2013. 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.

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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. Serverless platforms. Service mesh. Auto-discovery.