Akamas CTO unveils the power of version 3.0 with Scott Moore

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Video

Autonomous Optimization

Akamas CTO unveils the power of version 3.0 with Scott Moore

White Paper

Autonomous Optimization

Optimize your live applications for performance and cost

Research Paper

Autonomous Optimization

Akamas listed as AI-Augmented Software Engineering tool in Gartner Hype Cycle

Flyer

Autonomous Optimization

Maximize service quality, resilience and cost efficiency — autonomously

Blog Post

Autonomous Optimization and more

Squeezing more (orange) juice from Kubernetes

Webinar Recording

Autonomous Optimization

Continuous optimization with AI

Video

Autonomous Optimization

Akamas Optimization Insights: Understand potential tradeoffs among competing KPIs

Case Study

Autonomous Optimization and more

Leverage AI-powered optimization to cut cloud costs and improve business agility

Video

Akamas integration Dynatrace Cloud Automation

Autonomous Optimization

Akamas continuous optimization with Dynatrace Cloud Automation

Case Study

Autonomous Optimization and more

Delivering high-quality SaaS services at lower cloud cost and carbon footprint

Webinar Recording

Autonomous Optimization and more

AI-driven performance optimization – A real-world example

Research Paper

Autonomous Optimization

State of AI applied to Quality Engineering 2021-22 by Sogeti

Podcast

Autonomous Optimization and more

Kubernetes using AI to optimize performance

Webinar Recording

Autonomous Optimization and more

Performance Engineering – a bright future?

Webinar Recording

Autonomous Optimization and more

Automating performance tuning with machine learning

Webinar Recording

Autonomous Optimization and more

Performance optimization for banking apps

Video

Autonomous Optimization

Akamas Continuous Optimization: Integration with Jenkins in the CI/CD pipeline

Video

Autonomous Optimization

Akamas in 2 minutes: maximize service quality, resilience, and cost savings

Research Paper

Autonomous Optimization

Coverage initiation: “Akamas promises full-stack optimization with goal-oriented ML”

Video

Autonomous Optimization

Akamas integration with Micro Focus LoadRunner

Research Paper

Collaborative filtering approach Akamas LCTES

Autonomous Optimization

Collaborative Filtering: the new state-of-the-art for compiler autotuning

Webinar Recording

Akamas AI-driven with Micro Focus LoadRunner

Autonomous Optimization and more

AI-driven performance optimization: A real-world example

Webinar Recording

Akamas Performance Summit 2020 automated performance optimization

Autonomous Optimization and more

From manual performance testing to automated performance optimization

Case Study

Autonomous Optimization and more

Faster apps, lower bills: optimizing travel search in the cloud

Webinar Recording

Akamas Dynatrace integration Performance clinic

Autonomous Optimization and more

A guide to Autonomous Performance Optimization

Webinar Recording

Autonomous Optimization and more

AI-driven optimization: The key to more performance for lower costs

White Paper

Autonomous Optimization and more

How Akamas achieved 1.5x performance on a core banking platform

Podcast

Autonomous Optimization

Let the machines optimize the machines: Goal-driven performance tuning

Resources

Akamas CTO unveils the power of version 3.0 with Scott Moore

Optimize your live applications for performance and cost

Akamas listed as AI-Augmented Software Engineering tool in Gartner Hype Cycle

Maximize service quality, resilience and cost efficiency — autonomously

Squeezing more (orange) juice from Kubernetes

Continuous optimization with AI

Akamas Optimization Insights: Understand potential tradeoffs among competing KPIs

Leverage AI-powered optimization to cut cloud costs and improve business agility

Akamas continuous optimization with Dynatrace Cloud Automation

Delivering high-quality SaaS services at lower cloud cost and carbon footprint

AI-driven performance optimization – A real-world example

State of AI applied to Quality Engineering 2021-22 by Sogeti

Kubernetes using AI to optimize performance

Performance Engineering – a bright future?

Automating performance tuning with machine learning

Performance optimization for banking apps

Akamas Continuous Optimization: Integration with Jenkins in the CI/CD pipeline

Akamas in 2 minutes: maximize service quality, resilience, and cost savings

Coverage initiation: “Akamas promises full-stack optimization with goal-oriented ML”

Akamas integration with Micro Focus LoadRunner

Collaborative Filtering: the new state-of-the-art for compiler autotuning

AI-driven performance optimization: A real-world example

From manual performance testing to automated performance optimization

Faster apps, lower bills: optimizing travel search in the cloud

A guide to Autonomous Performance Optimization

AI-driven optimization: The key to more performance for lower costs

How Akamas achieved 1.5x performance on a core banking platform

Let the machines optimize the machines: Goal-driven performance tuning

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Resources

Akamas CTO unveils the power of version 3.0 with Scott Moore

Optimize your live applications for performance and cost

Akamas listed as AI-Augmented Software Engineering tool in Gartner Hype Cycle

Maximize service quality, resilience and cost efficiency — autonomously

Squeezing more (orange) juice from Kubernetes

Continuous optimization with AI

Akamas Optimization Insights: Understand potential tradeoffs among competing KPIs

Leverage AI-powered optimization to cut cloud costs and improve business agility

Akamas continuous optimization with Dynatrace Cloud Automation

Delivering high-quality SaaS services at lower cloud cost and carbon footprint

AI-driven performance optimization – A real-world example

State of AI applied to Quality Engineering 2021-22 by Sogeti

Kubernetes using AI to optimize performance

Performance Engineering – a bright future?

Automating performance tuning with machine learning

Performance optimization for banking apps

Akamas Continuous Optimization: Integration with Jenkins in the CI/CD pipeline

Akamas in 2 minutes: maximize service quality, resilience, and cost savings

Coverage initiation: “Akamas promises full-stack optimization with goal-oriented ML”

Akamas integration with Micro Focus LoadRunner

Collaborative Filtering: the new state-of-the-art for compiler autotuning

AI-driven performance optimization: A real-world example

From manual performance testing to automated performance optimization

Faster apps, lower bills: optimizing travel search in the cloud

A guide to Autonomous Performance Optimization

AI-driven optimization: The key to more performance for lower costs

How Akamas achieved 1.5x performance on a core banking platform

Let the machines optimize the machines: Goal-driven performance tuning

Topics

Type

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