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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

The phrase “serverless computing” appears contradictory at first, but for years now, successful companies have understood the benefit of using serverless technologies to streamline operations and reduce costs. So what exactly does “serverless” mean, and how can your organization benefit from it?

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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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OneAgent release notes version 1.241

Dynatrace

Serverless. Added AWS Lambda Functions tracing for.NET. Operating systems. Future Dynatrace OneAgent operating systems support changes. The following operating systems will no longer be supported starting 01 July 2022. Past Dynatrace OneAgent technology support changes. Linux: CentOS 8.x.

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Firecracker: lightweight virtualization for serverless applications

The Morning Paper

Firecracker: lightweight virtualisation for serverless applications , Agache et al., Firecracker is the virtual machine monitor (VMM) that powers AWS Lambda and AWS Fargate, and has been used in production at AWS since 2018. The first version of AWS Lambda was built using Linux containers. NSDI’20. Approaches to isolation.

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Weighing a microservices approach means covering all architecture bases

Dynatrace

Therefore, designated teams within an organization own various APIs and applications throughout their lifecycles and become leading in-house experts on the technologies they develop. VMs require their own operating system and take up additional resources. Serverless platforms. API gateways.

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

All Things Distributed

At Amazon we have hundreds of teams using machine learning and by making use of the Machine Learning Service we can significantly speed up the time they use to bring their technologies into production. 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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