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    Sedai for Kubernetes: Autonomous Optimization & Remediation

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    Deployed on AWS
    Sedai for Kubernetes is an autonomous cloud management platform powered by AI/ML delivering continuous optimization for cloud operations teams to reduce costs by 53%, improve performance by 30%, reduce ops workloads by 33%, and achieve 99.99% availability.

    Overview

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    Sedai for Kubernetes is an autonomous cloud management platform powered by AI/ML delivering continuous optimization for cloud operations teams to maximize performance cloud cost savings, and availability at scale. Sedai enables Kubernetes teams to shift from static rules and threshold-based automation to modern ML-based autonomous operations. Using Sedai, Kubernetes users can:

    • Reduce costs by 50%
    • Improve performance by 30%
    • Reduce ops workloads by 33%
    • Achieve 99.99% availability Sedai can perform work equivalent to a team of cloud engineers working behind the scenes to optimize resources and remediate issues, so teams can focus back on innovation.

    Core Features:

    • Autonomous Optimization. Sedai eliminates the need to overprovision by optimizing Kubernetes at the workload and cluster level by autonomously scaling: at the workload level Sedai can configure HPA and VPA for the best cost & performance without manual intervention and setting thresholds to optimize memory, CPU and replica sets for pods. At the cluster level Sedai selects instance types and node groups on an application-aware basis, factoring in application-level latency.
    • Autonomous Purchasing. Sedai identifies the lowest cost combination of spot, on-demand and savings plans based on predicted traffic behavior.
    • Autonomous Remediation helps teams meet availability SLAs and SLOs by predicting and detecting issues on a real-time basis and taking action (e.g., changes to memory limits, configuring CPU thresholds).
    • Release Intelligence helps teams meet demands for faster release cycles by providing performance scores on every release with feedback on the quality of your deployments and changes in latency and errors.
    • Smart SLOs help teams set and meet their SLOs: In addition to automatically analyzing and defining targets for you, manage error budgets with autonomous actions that prevent errors, downtime, and SLO breaches. Users can manually set SLOs or refine SLOs set automatically by based on performance trends. Sedai then optimizes performance to meet them (e.g., scale up resources to meet a performance SLO).

    Sedai is easy to set up:

    • Easy setup: Deploy with an agent-based or agentless approach that integrates with your cloud accounts and observability platforms to get up and running in minutes.
    • Configuration-free: We infer your topology and metrics, and intelligently leverage them to detect signals based on observed performance.

    Highlights

    • Reduce costs by 50% with autonomous optimization at the workload, cluster and purchasing level
    • Improve performance by 30% with application-aware optimization
    • Reduce SRE workload by 33% with safe autonomous optimizations and remediations in production

    Details

    Delivery method

    Deployed on AWS

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    Pricing

    Sedai for Kubernetes: Autonomous Optimization & Remediation

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    Pricing is based on the duration and terms of your contract with the vendor, and additional usage. You pay upfront or in installments according to your contract terms with the vendor. This entitles you to a specified quantity of use for the contract duration. Usage-based pricing is in effect for overages or additional usage not covered in the contract. These charges are applied on top of the contract price. If you choose not to renew or replace your contract before the contract end date, access to your entitlements will expire.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.

    1-month contract (4)

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    Dimension
    Description
    Cost/month
    Overage cost
    Free
    Up to 10 Kubernetes Pods
    $0.00
    -
    Growth
    Starting at 10 Kubernetes Pods
    $20.00
    Business
    Starting at 50 Kubernetes Pods
    $90.00
    Enterprise
    Starting at 1,000 Kubernetes Pods
    $1,500.00

    Vendor refund policy

    Full Refund

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    Usage information

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    Delivery details

    Software as a Service (SaaS)

    SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.

    Support

    Vendor support

    help@sedai.io  Your Sedai subscription includes 24/7 email support. Please contact help@sedai.io  for assistance.

    AWS infrastructure support

    AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.

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    Accolades

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    Top
    100
    In Infrastructure as Code
    Top
    10
    In Application Servers
    Top
    100
    In Data Governance

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    Overview

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    AI generated from product descriptions
    Autonomous Resource Optimization
    AI/ML-powered continuous optimization of Kubernetes workloads and clusters through intelligent scaling of memory, CPU, and replica sets
    Machine Learning-Based Remediation
    Real-time predictive issue detection and autonomous remediation actions to maintain system availability and performance
    Performance Intelligence
    Automated performance scoring for releases, tracking changes in latency and error rates with intelligent feedback mechanisms
    SLA/SLO Management
    Autonomous SLO target definition, error budget management, and performance optimization to prevent downtime and service breaches
    Cloud Resource Purchasing Strategy
    Intelligent identification and selection of optimal cost combinations between spot instances, on-demand, and savings plans based on predicted traffic behavior
    Container Orchestration Management
    Provides serverless containers experience with robust, container-driven auto-scaling supporting ECS, EKS, and Kubernetes environments
    Infrastructure Optimization
    Enables cost-optimized and highly available infrastructure scaling for AWS environments with advanced auto-scaling capabilities
    Reserved Instance Management
    Delivers full lifecycle management for Reserved Instances and Savings Plans with automated selling and conversion capabilities
    Multi-Cloud Cost Analytics
    Provides continuous visibility and analytics for infrastructure optimization across different cloud service providers and compute instance types
    Cloud Resource Management
    Provides comprehensive view and management of virtual machines, databases, volumes, and tags across multiple cloud accounts
    AI-Powered Analytics
    Utilizes generative AI to generate insights for cloud infrastructure optimization and decision-making
    Security Compliance
    Validates infrastructure against 27 AWS security parameters and AWS Well-Architected Framework standards
    Performance Monitoring
    Enables real-time tracking of cloud resource performance parameters and operational metrics
    Infrastructure Scheduling
    Supports direct start and stop of cloud instances through centralized management console

    Security credentials

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    Validated by AWS Marketplace
    FedRAMP
    GDPR
    HIPAA
    ISO/IEC 27001
    PCI DSS
    SOC 2 Type 2
    No security profile
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    No security profile

    Contract

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    Standard contract
    No

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