Remove adapters
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Dynatrace launches DevSecOps partner integrations for context-aware adaptive automation

Dynatrace

The Dynatrace artificial intelligence engine, Davis , and our Cloud Automation module adaptively trigger these solutions during required steps in the SDLC. Unification of development tools, extensive automation across the SDLC, and orchestration to adaptively detect, analyze, and react to issues makes this possible.

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Dynatrace innovates again with the release of topology-driven auto-adaptive metric baselines

Dynatrace

With the advent and ingestion of thousands of custom metrics into Dynatrace, we’ve once again pushed the boundaries of automatic, AI-based root cause analysis with the introduction of auto-adaptive baselines as a foundational concept for Dynatrace topology-driven timeseries measurements. Static vs. auto-adaptive baselining.

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Uber Improves Resiliency of Microservices with Adaptive Load Shedding

InfoQ

Uber created a new load-shedding library for its microservice platform, serving over 130 million customers and handling aggregated peaks of millions of requests per second (RPSs).

Latency 111
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Adapting #Accelerate to Development

Allen Holub

Nicole Forsgren, and her co-authors, Jez Humble and Gene Kim have done the industry a huge service by providing a data-focused way of analyzing and improving performance that’s based on real research, not… The post Adapting #Accelerate to Development appeared first on Allen Holub.

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Adaptive Loading - Improving web performance on low-end devices

Addy Osmani

Adaptive Loading is a pattern for delivering a fast core experience to all users (including low-end devices) where you progressively add high-end-only features, if a user's network and hardware can handle it

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Machine Learning: A Revolutionizing Force in Cybersecurity

DZone

The cybersecurity landscape necessitates continual adaptation and exploration of novel defensive strategies to counter the evolving threats posed by malicious actors.

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AI Advancement for API and Microservices

DZone

Recent AI advancements in API technology involve enhancing natural language processing capabilities, improving algorithmic decision-making through reinforcement learning, and expanding AI integration across diverse sectors like healthcare, finance, and e-commerce to create more intelligent, adaptable, and tailored API solutions.