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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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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.

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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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Open Source at AWS re:Invent

Adrian Cockcroft

AWS Developer Relations on how the shift from Robot Operating System (ROS) 1 to ROS 2 will change the landscape for all robot lovers. OPN304 Learnings from migrating a service from JDK 8 to JDK 11 AWS Lambda improved latency by migrating to JDK 11 with Amazon Corretto.

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Open Source at AWS re:Invent

Adrian Cockcroft

AWS Developer Relations on how the shift from Robot Operating System (ROS) 1 to ROS 2 will change the landscape for all robot lovers. OPN304 Learnings from migrating a service from JDK 8 to JDK 11 AWS Lambda improved latency by migrating to JDK 11 with Amazon Corretto.

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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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