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Dynatrace supports the newly released AWS Lambda Response Streaming

Dynatrace

Dynatrace is a launch partner in support of AWS Lambda Response Streaming , a new capability enabling customers to improve the efficiency and performance of their Lambda functions. This enhancement allows AWS users to stream response payloads back to clients. What is a Lambda serverless function?

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Dynatrace supports SnapStart for Lambda as an AWS launch partner

Dynatrace

Dynatrace is proud to be an AWS launch partner in support of Amazon Lambda SnapStart. For AWS Lambda, the largest contributor to startup latency is the time spent initializing an execution environment, which includes loading function code and initializing dependencies. What is Lambda? What is Lambda SnapStart?

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Stream logs to Dynatrace with Amazon Data Firehose to boost your cloud-native journey

Dynatrace

Amazon CloudWatch is the most common method of collecting logs across your AWS footprint. As a native tool used by many enterprises, CloudWatch supports a wide range of AWS resources, applications, and services. These already provide a common integration with AWS log sources. Choose Dynatrace as the destination in AWS console.

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Dynatrace supports Amazon Linux 2023 as an AWS launch partner

Dynatrace

Dynatrace is proud to be an AWS launch partner in support of Amazon Linux 2023 (AL2023). 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. Auto-detection starts monitoring new virtual machines as they are deployed.

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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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Platform Engineering Teams Done Right…

Adrian Cockcroft

The virtualization and networking platform could be datacenter based, with something like VMware, or cloud based using one of the cloud providers such as AWS EC2. Above that there’s a deployment platform such as Kubernetes or AWS Lambda.

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Sharing Data Among Multiple Servers Through AWS S3

Smashing Magazine

Sharing Data Among Multiple Servers Through AWS S3. Sharing Data Among Multiple Servers Through AWS S3. Note 1: For a simple functionality such as cropping avatars, another solution would be to completely bypass the server, and implement it directly in the cloud through Lambda functions. Leonardo Losoviz. Creating The Bucket.

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