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

Blog post from Dynatrace

Post Details
Company
Date Published
Author
Lauren Horwitz
Word Count
3,335
Company Posts That Month
31
Language
American English
Hacker News Points
-
Post removed?
No
Summary

Dynatrace Perform 2024, held in Las Vegas, highlighted key trends in cloud observability, emphasizing the importance of AI observability, data quality, and platform engineering for organizational success. As artificial intelligence and cloud services become essential for competitiveness, AI observability is crucial to manage the costs and performance of these technologies. The conference showcased the need for a composite AI approach, integrating predictive, causal, and generative AI to enhance data reliability and security. Platform engineering was also a significant theme, promoting the development of internal platforms to boost developer productivity and streamline software delivery. The event underscored the necessity of unifying observability and security to maximize business value, reducing tool sprawl, breaking data silos, and enabling real-time insights. As organizations face challenges in managing multicloud environments, Dynatrace introduced new solutions, including AI-driven analytics and custom applications, to enhance data insight and efficiency across various use cases.

Trends Found in this Post
Trend Post Mentions Total Month Mentions Posts Companies MoM
Observability 65 1,155 262 90 -8%
Platform Engineering 19 266 62 35 -4%
Kubernetes 6 1,739 185 74 +0%
Developer Experience 5 400 163 88 +13%
Real-time 4 2,379 618 172 -8%
AI Guardrails 2 94 42 25 +29%
Edge Computing 2 17 14 11 -35%
Serverless 2 785 157 75 +6%
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