Sedai

Diagnostic et analyse des soins de santé basés sur l'IA

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Sedai is an Autonomous Cloud Management Platform that leverages AI to optimize cloud costs, improve performance, and improve availability across multiple cloud environments.

With capabilities such as autonomous optimization and remediation, Sedai helps organizations to achieve significant cost savings and operational efficiency while seamlessly integrating with existing tools and workflows.

Sedai se trouve dans AI-powered Diagnosis & Healthcare Analytics catégories.

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Détails

Principales caractéristiques de Sedai

• Smart SLOs
  You can set performance goals, and the system will optimize resources to meet them.
• Integrations
  It works well with your existing tools and systems for easier management.
• Release Quality
  You can track how well each software release performs in terms of cost and speed.
• AWS Optimization
  It helps to improve and reduce costs for various AWS services like EKS, ECS, and Lambda.
• GCP Optimization
  It helps to optimize Google Cloud services like GKE and Dataflow for better performance and cost savings.
• Ops Productivity
  It reduces manual work for operations teams, making them more efficient.
• Azure Optimization
  This feature optimizes resources and costs for Azure services like AKS and Azure VMs.
• Multi Cloud Support
  It can manage and optimize resources across different cloud services like AWS, Azure, and Google Cloud.
• Release Intelligence
  This allows you to see how new software updates perform in real-world use.
• Autonomous Remediation
  It improves service availability and reduces issues that affect customers.
• Application Performance
  It can improve user experience by making applications 30-75% faster.
• Autonomous Optimization
  This feature helps to reduce cloud costs and improve performance automatically.
• Cloud Cost Optimization
  This feature helps you save 30-50% on cloud costs by optimizing applications and infrastructure.
• Kubernetes Optimization
  This feature automatically scales and optimizes resources for Kubernetes applications.
• Availability Improvement
  This feature helps to reduce issues that affect customer interactions.

Avantages Sedai

• Release Quality
  It helps teams understand how well new updates work, ensuring better performance and fewer errors.
• Ops Productivity
  It cuts down on manual work for teams, allowing them to focus on more important tasks.
• Application Performance
  It improves how fast applications run, making the experience better for customers by 30-75%.
• Cloud Cost Optimization
  It helps save money by finding ways to reduce cloud spending by 30-50%.
• Availability Improvement
  It reduces problems that customers face when services fail, leading to fewer bad experiences.

Qui devrait utiliser Sedai ?

• DevOps
  They can see how new updates work in real time to improve their services.
• FinOps
  They can find ways to save on cloud costs by combining finance and engineering.
• CTO / Architect
  They can add AI to their technology to make it work better and cost less.
• B2B SaaS Companies
  They can improve online services and lower cloud costs.
• Engineering Leaders
  They can use AI to save money and improve performance and availability.
• Online Travel Agents
  They can improve customer experiences and reduce cloud expenses.
• Platform Engineering
  They can help engineers make their applications better and cheaper.
• Cybersecurity Experts
  They can keep systems safe while also saving on costs.
• Ecommerce Professionals
  They can increase sales and save money on cloud services.
• Performance Engineering
  They can automatically make systems run faster and better.
• Site Reliability Engineering
  They can ensure systems are reliable using AI tools.

Insignes

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Technologies utilisées

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