Remove Availability Remove Demo Remove Lambda Remove Metrics
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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. Every time the trigger executes, the function runs on an available resource. AWS Lambda allows developers to use NodeJS or Python while you can control nearly every detail of a REST API.

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AWS and Dynatrace automation hit the jackpot at Perform Las Vegas

Dynatrace

In the past, setting up all the hosts, clusters, and demo applications was a manual process that was very time consuming and error-prone. All the infrastructure to run the applications used for the sessions were created using CloudFormation and Lambda. Dynatrace AWS monitoring with CloudWatch metrics and metadata. Automation.

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What is Google Cloud Functions?

Dynatrace

In recent years, function-as-a-service (FaaS) platforms such as Google Cloud Functions (GCF) have gained popularity as an easy way to run code in a highly available, fault-tolerant serverless environment. Join us for the on-demand Power Demo: Google Cloud Observability for Ops, Apps and Biz Teams. Curious to learn more?

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

Dynatrace

Dynatrace is thrilled to announce the General Availability of support for both the 2.x Read on below to explore all the benefits of Dynatrace monitoring by examining our demo Azure Functions application. Whether your data source is the API or OneAgent, you get the same visibility into the most critical performance metrics.

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

Dynatrace

Dynatrace is thrilled to announce the General Availability of support for both the 2.x Read on below to explore all the benefits of Dynatrace monitoring by examining our demo Azure Functions application. Whether your data source is the API or OneAgent, you get the same visibility into the most critical performance metrics.

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

Adrian Cockcroft

A later version of the slides is included in my Microservices Workshop deck from later that year, slides 168–200 ( pdf , keynote are available in GitHub.com/adrianco/slides ). For this demo on an old MacBook (2.7 > 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

Instead of presenting you with a handful of random screenshots from our demo environment I reached out to Robert, a close friend of mine, who leads a development team with the current task to re-architect and re-platform their multi-tenant SaaS-based eCommerce platform. If you have specific requirements for specific users to e.g:

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