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

Dynatrace

Enter AI observability, which uses AI to understand the performance and cost-effectiveness details of various systems in an IT environment. While app-centric serverless approaches abstract some of the complexities of cloud-native architecture, as the analyst firm Forrester notes , the next frontier for serverless adoption is at the edge.

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'Paris s'éveille'! Introducing the AWS EU (Paris) Region

All Things Distributed

These teams are helping customers and partners of all sizes, including systems integrators and ISVs, to move to the cloud. For many years, we have been growing teams of account managers, solutions architects, trainers, business development, and professional services specialists, as well as other job functions.

AWS 112
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A 5G future

O'Reilly

I don’t need more bandwidth for video conferences or movies, but I would like to be able to download operating system updates and other large items in seconds rather than minutes. What would the world look like if all of our storage was in the cloud, and access to that storage was so fast we didn’t care? Upcoming events.

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Any analysis, any time: Dynatrace Log Management and Analytics powered by Grail

Dynatrace

The number and variety of applications, network devices, serverless functions, and ephemeral containers grows continuously. Teams have introduced workarounds to reduce storage costs. Stop worrying about log data ingest and storage — start creating value instead. And this expansion shows no sign of slowing down.

Analytics 227
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Web Development Trends in 2023

KeyCDN

Artificial intelligence and machine learning Artificial intelligence (AI) and machine learning (ML) are becoming more prevalent in web development, with many companies and developers looking to integrate these technologies into their websites and web applications. Source: web.dev 2.

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Observability platform vs. observability tools

Dynatrace

Complex information systems fail in unexpected ways. Observability gives developers and system operators real-time awareness of a highly distributed system’s current state based on the data it generates. With observability, teams can understand what part of a system is performing poorly and how to correct the problem.