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Dynatrace Perform 2024 Guide: Deriving business value from AI data analysis

Dynatrace

AI-enabled chatbots can help service teams triage customer issues more efficiently. Deriving business value with AI, IT automation, and data reliability When it comes to increasing business efficiency, boosting productivity, and speeding innovation, artificial intelligence takes center stage. What is explainable AI?

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Implementing AWS well-architected pillars with automated workflows

Dynatrace

This is a set of best practices and guidelines that help you design and operate reliable, secure, efficient, cost-effective, and sustainable systems in the cloud. The framework comprises six pillars: Operational Excellence, Security, Reliability, Performance Efficiency, Cost Optimization, and Sustainability.

AWS 243
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Web Development Trends in 2023

KeyCDN

PWAs are designed to work offline, be fast, and provide a seamless user experience across different devices. Motion UI Motion UI is a design trend involving animation and other interactive elements to create a more dynamic and engaging user experience. They thus adapt to the user's browser, screen size, and device specifications.

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Reducing PostgreSQL Costs in the Cloud

Percona

Making the use of resources efficiently and ensuring that this does not impact the budget available for cloud computing is not a one-time fix but a continuous cycle of picking properly sized resources and eliminating over-provisioning. Figure 5: Experimental PostgreSQL Vacuum Monitoring What about serverless?

Cloud 123
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Sustainability Talks and Updates from AWS re:Invent 2023

Adrian Cockcroft

SUS101: Sustainability innovation in AWS Global Infrastructure AWS is determined to make the cloud the cleanest and most energy-efficient way to run customers’ infrastructure and business. This includes providing the efficient, resilient services AWS customers expect, while minimizing their environmental footprint.

AWS 52
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A case for managed and model-less inference serving

The Morning Paper

.” If we want an increasing number of applications to use machine learning, we must automate issues that affect ease-of-use, performance, and cost efficiency for users and providers… Despite significant research, this is missing right now. We’d like to pack models as efficiently as possible on the underlying infrastructure.

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Seamless offloading of web app computations from mobile device to edge clouds via HTML5 Web Worker migration

The Morning Paper

The design of the HTML5 Web Worker interface turns out to be a great match for migration – Workers are already designed to work on a separate thread communicating via message passing, and are typically used to offload expensive computation that you don’t want to do in the main thread with the user waiting.

Mobile 104