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4 steps to modernize your IT service operations with Dynatrace

Dynatrace

In my role as DevOps and Autonomous Cloud Activist at Dynatrace, I get to talk to a lot of organizations and teams, and advise them on how to speed up delivery while also increasing the delivery in order to minimize the impact on operations. We came up with list of four key questions, then answered and demoed in our recent webinar.

Lambda 174
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AWS serverless services: Exploring your options

Dynatrace

Instead of worrying about infrastructure management functions, such as capacity provisioning and hardware maintenance, teams can focus on application design, deployment, and delivery. Speed is next; serverless solutions are quick to spin up or down as needed, and there are no delays due to limited storage or resource access.

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

Dynatrace

As companies strive to innovate and deliver faster, modern software architecture is evolving at near the speed of light. 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.

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

Dynatrace

As companies strive to innovate and deliver faster, modern software architecture is evolving at near the speed of light. 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.

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Why log monitoring and log analytics matter in a hyperscale world

Dynatrace

Logs can include data about user inputs, system processes, and hardware states. Digital experience monitoring including real-user monitoring, synthetic monitoring, and mobile app monitoring to ensure every application is available, responsive, fast, and efficient across every channel. ” Watch webinar now!

Analytics 214
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Performance Testing with Open Source Tools – Myths and Reality

Alex Podelko

After this I spent almost 4 years working at Neotys, demos, proofs of concept, training people, the usual turf of a pre-sales engineer. Typically, in a 20 min OctoPerf demo we can record/replay/analyze a basic script. A lesson I always try to remember even today. Why did you decide to create OctoPerf? So instead, we used jellly.io

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Generative AI in the Enterprise

O'Reilly

A year after the first web servers became available, how many companies had websites or were experimenting with building them? That pricing won’t be sustainable, particularly as hardware shortages drive up the cost of building infrastructure. Certainly not two-thirds of them. We expect search to be everywhere. AI will be the same.