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What is software automation? Optimize the software lifecycle with intelligent automation

Dynatrace

In what follows, we define software automation as well as software analytics and outline their importance. What is software analytics? This involves big data analytics and applying advanced AI and machine learning techniques, such as causal AI. We also discuss the role of AI for IT operations (AIOps) and more.

Software 183
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IT carbon footprint: Dynatrace Carbon Impact and Optimization app helps organizations measure cloud computing carbon footprint

Dynatrace

The growing adoption of innovations like generative AI, based on large-language models (LLMs), will only increase demand for cloud computing. Given the benefits of these innovations, organizations can’t afford to pull back on their efforts to build AI and shift more workloads to the cloud. Download report Already a Dynatrace customer?

Energy 230
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What Is a Workload in Cloud Computing

Scalegrid

Cloud service providers like AWS Elastic Load Balancing, Azure Load Balancer, Cloudflare Load Balancing as well as GCP Cloud Load Balancing offer different methods of implementing load balancing techniques with algorithms such as static or dynamic routing strategies and round-robin approaches. This also aids scalability down the line.

Cloud 130
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Getting Hands-on Training into more hands in 2021

Dynatrace

And we know as well as anyone: the need for fast transformations drives amazing flexibility and innovation, which is why we took Perform Hands-on Training (HOT) virtual for 2021. Getting started with Digital Experience Monitoring (DEM) analytics. Not just with our technology, or in business, but in all areas of our lives.

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Web Performance Bookshelf

Rigor

This book is about the network, from fundamental limitations that affect performance to major innovations for building even more powerful browser applications. In her book, Lara Hogan helps you approach projects with page speed in mind, showing you how to test and benchmark which design choices are most critical. Time is Money.

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Perform Las Vegas 2020: Reduce risk and iterate faster

Dynatrace

In the past, monolith architectures could only be implemented with big bang deployments which result in a slow pace of innovation and significant downtime. The goal of introducing these elements is to help you understand how can these strategies can be implemented, as well as their specific strengths and drawbacks for different use cases.

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Data Mining Problems in Retail

Highly Scalable

most of them are structured as data scientist manuals focusing on algorithms and methodologies and assume that human decisions play a central role in transforming analytical findings into business actions. This framework will later be used to describe analytical problems in a more uniform way.

Retail 152