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A look behind the scenes of AWS Lambda and our new Lambda monitoring extension

Dynatrace

Since its introduction by AWS in 2014, AWS Lambda has revolutionized the compute space and boosted the entire serverless movement. Dynatrace has offered a Lambda code module for Node.js since 2017, and many customers have used it with great success while we collected requirements for the next iteration of our Lambda extension.

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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. Auto-detection starts monitoring new virtual machines as they are deployed.

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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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AWS observability: AWS monitoring best practices for resiliency

Dynatrace

Visibility into system activity and behavior has become increasingly critical given organizations’ widespread use of Amazon Web Services (AWS) and other serverless platforms. These resources generate vast amounts of data in various locations, including containers, which can be virtual and ephemeral, thus more difficult to monitor.

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Firecracker: lightweight virtualization for serverless applications

The Morning Paper

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 traditional view is that there is a choice between virtualization with strong security and high overhead, and container technologies with weaker security and minimal overhead.

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What is function as a service? App development gets FaaS and furious

Dynatrace

Cloud providers then manage physical hardware, virtual machines, and web server software management. This enables teams to quickly develop and test key functions without the headaches typically associated with in-house infrastructure management. Infrastructure as a service (IaaS) handles compute, storage, and network resources.

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Weighing a microservices approach means covering all architecture bases

Dynatrace

Monolithic software systems employ one large codebase, which includes collections of tools, software development kits, and associated development dependencies. Because monolithic software systems employ one large codebase repository, the service becomes a massive piece of software that is labor-intensive to manage.