👋Introduction

Learn more about autonomous cloud management and how to optimize for cost and performance.

Sedai is an autonomous cloud management platform powered by AI/ML that delivers continuous optimization for cloud operations teams to maximize cloud cost savings, performance, and availability at scale.

Sedai independently detects, prioritizes, and analyzes performance metrics to identify opportunities to safely act in production, as well as provide deep contextual performance insights. The platform continuously learns from application behavior under variable seasonality; this evolves its intelligence models by evaluating outcomes and improving its ability to detect unhealthy symptoms early on. Sedai enables teams to shift from static rules and threshold-based automation to modern ML-based autonomous operations.

Sedai is designed to help cloud teams focus their time and effort on innovation by shifting workflows from static rules and threshold-based automation to modern ML-based autonomous operations.

One of Sedai's major strengths is its ability to understand how changes impact your applications. Unlike most optimization tools that mainly focus on infrastructure and resource usage, Sedai looks at how these configuration changes affect performance. While traditional tools offer insights on how to modify allocations based on usage patterns, they often miss how these adjustments influence the a resource's output. Sedai focuses on the needs of individual resources and tweaks the underlying infrastructure to ensure the best performance for each one.

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How it Works

• Discover: Sedai securely connects to cloud environments and imports supported compute, storage, data, and streaming resources. It also automatically ingests your monitoring data and identifies and prioritizes the "Golden Signals" (latency, error, traffic, and saturation) to train its ML models.

• Analyze: Sedai builds a baseline for predictive analytics within 14 days of integration. By analyzing monitoring metrics, traffic patterns, and resource dependencies, Sedai assesses initial performance trends and determines expected resource usage and performance based on seasonality. This in-depth analysis informs its decision models to detect unhealthy symptoms early on without manual thresholds. By default the system also generates optimization opportunities that identify potential cost savings from rightsizing resources.

• Act: Sedai leverages its in-depth analysis of performance behavior to identify opportunities to reduce cloud cost, improve latency, and prevent availability issues. Sedai's rigorous safety checks ensure that it only generates actions if it has sufficient confidence and can guarantee safe execution — even within production environments.

• Learn: Sedai analyzes the efficacy of its autonomous actions on seasonality trends and performance behavior to continuously learn and evolve its intelligence models.

Sedai works best in production environments with consistent traffic and usage so it can continuously learn from performance behavior. If you're not sure if your environment has sufficient performance data, we recommend emailing [e-mail] to discuss your goals with Sedai.

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Key Features

• Autonomous Cloud Management

  • Optimization: Continuously optimize compute, storage, data and streaming resources based on your cost and performance goals.

  • Availability management: Remediate availability issues to avoid downtime, errors, and FCIs as soon as symptoms are detected.

  • Release Intelligence: Review a summary of changes in cost, latency, and error rate between compute resources' releases and get fast insight into release trends.

  • Service Level Objectives: Track autonomously defined latency and error rate targets for compute resources.

• Augmented FinOps: Explore your cloud spend and create budgets to track your current and projected expenses. View forecast spend and recommended savings plan commitments to minimize your monthly costs.

Try Sedai free for 30 days — no credit card required.

To integrate your cloud resources to Sedai, you will need sufficient permissions within your organization to set up secure access. Learn more about supported cloud providers here.

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Support

Sedai currently supports AWS and Azure billing accounts for Augmented FinOps.

Sedai currently supports the following cloud/monitoring providers for its autonomous cloud management capabilities:

• Amazon Web Services (AWS), including:

  • Compute: Elastic Compute Cloud (EC2), Elastic Container Service (ECS), Elastic Kubernetes Service (EKS), Fargate, Lambda Serverless Functions

  • Storage: Elastic Block Store (EBS), Simple Storage Service (S3)

  • Data: Relational Database Service (RDS)

• Google Cloud Platform, including:

  • Compute: Google Kubernetes Engine (GKE)

  • Streaming: Dataflow BETA

• Microsoft Azure, including

  • Compute: Azure Kubernetes Service (AKS), Virtual Machines (VMs)

  • Storage: Managed Disks

• Self-managed or hosted Kubernetes clusters

  • Compute: Stateless & Stateful workloads

Sedai's optimal outputs are based on ongoing analysis of traffic patterns and usage. We recommend connecting production environments to best understand how autonomous management can help your team. You can try out autonomous operations at your own by pace by modifying Sedai's settings to run in either recommend or autonomous mode.

Supported Monitoring Providers

• AppDynamics

• Azure Monitor

• CloudWatch (by default, Sedai automatically connects to CloudWatch when you connect an AWS account)

• Chronosphere

• Datadog

• Elasticsearch

• Google Cloud Monitoring

• Netdata

• New Relic

• Prometheus

• SignalFX

• Victoria Metrics

• Wavefront (VMware)

Connect Monitoring Data

Please contact [e-mail] to request features for AWS, Azure, GCP, or Kubernetes cloud resources or additional monitoring provider support.