Remove Infrastructure Remove Lambda Remove Operating System Remove Programming
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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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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. Both mobile and web front ends call an Application Program Interface (API) that is managed by an API proxy.

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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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Weighing a microservices approach means covering all architecture bases

Dynatrace

Then, they can split these services into functional application programming interfaces (APIs), rather than shipping applications as one large, collective unit. Microservice design patterns allow developers to use their preferred programming language or framework, which helps to prevent employee churn and the need for outsourced talent.

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Expanding the Cloud: Amazon Machine Learning Service, the Amazon Elastic Filesystem and more

All Things Distributed

Once the models are created, you can get predictions for your application by using the simple API, without having to implement custom prediction generation code or manage any infrastructure. Amazon EFS file systems can automatically scale from small file systems to petabyte-scale without needing to provision storage or throughput.

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