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AWS observability: AWS monitoring best practices for resiliency

Dynatrace

Like general observability , AWS observability is the capacity to measure the current state of your AWS environment based on the data it generates, including its logs, metrics, and traces. AWS Lambda. AWS Lambda makes it easy to design, run, and maintain application systems without having to provision or manage infrastructure.

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Percentiles don’t work: Analyzing the distribution of response times for web services

Adrian Cockcroft

For this demo on an old MacBook (2.7 This seems reasonable overhead for a real time algorithm that could be applied to histogram data as part of a metric collection pipeline. > > system.time(wait1 <- normalmixEM(waiting, mu=c(50,80), lambda=.5, > system.time(wait1 <- normalmixEM(waiting, mu=c(50,80), lambda=.5,

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AWS EKS Monitoring as a Self-Service with Dynatrace

Dynatrace

What we need though is data that is automatically connected with context for k8s administrators, architects and developers to better understand what is going in the part of k8s that’s relevant to them and how does it impact those parts that are relevant for their colleagues. MaaS for Developers: Understand and optimize your code.

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What is serverless computing? Driving efficiency without sacrificing observability

Dynatrace

AWS Lambda functions are an example of how a serverless framework works: Developers write a function in a supported language or platform. The developer uploads the function and configuration for how to run the function to the cloud. Developers stay focused on developing technologies rather than the underpinnings of applications.

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What is Google Cloud Functions?

Dynatrace

In a time when modern microservices are easier to deploy, GCF, like its counterparts AWS Lambda and Microsoft Azure Functions , gives development teams an agility boost for delivering value to their customers quickly with low overhead costs. GCF operates under the following three tenets: Simplify the developer experience.

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AWS and Dynatrace automation hit the jackpot at Perform Las Vegas

Dynatrace

Across the two days, there were sixteen new sessions – delivered for the first time – based on content derived from lab exercises developed and delivered by working with Dynatrace experts and our Partner communicate to showcase Dynatrace’s newest features. Dynatrace AWS monitoring with CloudWatch metrics and metadata.

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Full visibility into your serverless applications with AI-powered Azure Functions monitoring (GA)

Dynatrace

Despite its benefits, serverless computing introduces additional monitoring challenges for developers and IT Operations, particularly in understanding dependencies and identifying issues in the end-to-end traces that flow through a complex mix of dynamic and hybrid on-premise/cloud environments. Azure Functions in a nutshell.