Akamas

API- og backend-som-en-tjeneste-plattformer

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Akamas offers an advanced platform that utilizes patented reinforcement learning AI to optimize the cost, performance, and reliability of enterprise applications.

Features like Live and Offline Optimization, it enables dynamic tuning of production applications and streamlines performance testing for optimal configurations across various workloads, including Kubernetes and big data applications.

Akamas finnes i API & Backend-as-a-Service Platforms kategorier.

De mest lignende produktene til Akamas er:

Pristan Bekreftet profil Forfremmet → Braintrust → Woflow → ModelRiver Bekreftet profil → Akka →

Skjermbilder

YouTube-videoer

Detaljer

Akamas Hovedfunksjoner

• Akamas Platform
  This platform uses special AI to help businesses save money and improve the performance and reliability of their applications.
• Cloud Instances
  This feature uses AI to choose the best cloud instance for your needs, saving money and reducing environmental impact.
• Live Optimization
  This feature adjusts applications in real-time using current data to make safe changes in Kubernetes.
• Team Productivity
  This feature helps teams work faster by automating the tuning of applications, saving time on manual tasks.
• Service Resilience
  This feature ensures that applications continue to work well even during busy times or unexpected issues.
• Application Runtimes
  This feature optimizes different programming environments like JVM and Node.js to make applications run better.
• Kubernetes Workloads
  This feature finds the best resources and scaling settings for Kubernetes to save costs and improve reliability.
• Offline Optimization
  This feature helps test and tune applications to find the best settings when not in use.
• Big Data Applications
  This feature automates the tuning of Spark jobs and clusters to use resources more efficiently.
• Autonomous Optimization
  This feature uses AI to automatically improve application performance and reduce costs without needing much manual work.

Akamas fordeler

• Reduce Cloud Costs
  Akamas helps lower the need for computing power, saving money on cloud services.
• Ensure Service Resilience
  Akamas keeps applications running well even during busy times or problems.
• Find Right Cloud Instances
  AI helps choose the best cloud instance for each job, saving money and energy.
• Improve Experience Quality
  It makes applications faster and smoother, which makes users happier.
• Increase Team Productivity
  By automating tasks, teams can spend less time on setup and more time on important work.
• Enhance Application Runtimes
  Akamas improves how different programming languages run, boosting performance and scalability.
• Optimize Kubernetes Workloads
  It finds the best settings for Kubernetes, making apps run better and cost less.
• Automate Big Data Applications
  It makes managing big data tasks easier and uses fewer resources.

Hvem bør bruke Akamas?

• CTO
  CTOs can improve service quality and save costs while meeting AI goals.
• SREs
  SREs can make apps more reliable and scalable with less effort.
• DevOps
  DevOps teams can get better insights and reduce manual work for faster app releases.
• FinOps
  FinOps teams can manage budgets better and save money while keeping service quality high.
• IT Operations
  IT operations can improve team skills and deliver better apps at lower costs.
• Performance Engineers
  Performance engineers can automate tests and get smart tips to make apps run better.

Merker

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Pristan

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ModelRiver

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Akka

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Teknologier brukt

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