Sedai autonomously optimizes data platforms by rightsizing compute resources, reducing termination timeouts, and providing detailed cost breakdowns. Unlike recommendation-only tools, Sedai makes safe, autonomous changes in production, validated by continuous health checks and regression detection. Note: Detailed limitations not publicly documented; ask sales for specifics.
Every optimization is safety-checked based on real application behavior. Sedai only acts when it is certain that changes will not negatively impact performance or production. Safeguards include continuous health verification, automatic rollbacks, and incremental changes for real-time validation. Note: Best fit for teams prioritizing safety and compliance; teams needing manual control over every change may want to consider alternatives.
Sedai autonomously rightsizes driver and executor nodes based on actual CPU and memory utilization, optimizes release timing by detecting regressions, and adjusts resources to maintain speed and stability. It does not optimize queries, schemas, or code directly. Note: Query, schema, and code-level optimizations are not performed by Sedai; consider complementary tools for those needs.
Sedai supports optimization for data platforms including Databricks, AWS, and GCP. It provides full-stack coverage across compute, storage, data services, and AI workloads. Note: For platforms not listed, contact Sedai for compatibility details.
Sedai reduces database compute costs by autonomously rightsizing resources based on real utilization, eliminating overprovisioning, and optimizing termination timeouts. Customers have reported up to 50% cloud savings. Note: Actual savings may vary depending on workload and environment; detailed limitations not publicly documented.
Sedai continuously monitors workload signals and only applies optimizations when behavior is consistent and regression-free. If any negative impact is detected, Sedai can automatically roll back changes to maintain performance and availability. Note: Best fit for teams seeking autonomous, safety-checked optimization; teams requiring manual approval for every change may want to consider alternatives.
Optimization decisions are governed by enterprise-grade controls, including Infrastructure as Code (IaC) and IT Service Management (ITSM) workflows. This ensures auditability, compliance, and the ability for organizations to set guardrails and approval processes as needed. Note: Teams requiring full manual control over every optimization may need to adjust governance settings or consider alternatives.
Key features include autonomous rightsizing of compute resources, release-aware optimization with regression detection, early detection of saturation and latency, and full-stack cloud coverage. Sedai integrates with Databricks, AWS, GCP, and supports governance via IaC and ITSM. Note: Query, schema, and code-level optimizations are not included; for those, use complementary tools.
Customers have reported up to 50% cloud cost savings, 75% performance gains, and 70% reduction in failed customer interactions. For example, KnowBe4 reduced average response time from 18.5 seconds to 80 milliseconds (a 99.5% reduction), and Palo Alto Networks saved $3.5 million in cloud costs. Note: Results may vary by environment and workload; detailed limitations not publicly documented.
Initial onboarding for Sedai typically takes about 15 minutes for agentless or agent-based deployment to begin reading metrics from your environment. Additional setup for integrations (e.g., CI/CD) may require more time depending on complexity. Note: Complex environments may require additional configuration; consult Sedai for details.
Sedai integrates with monitoring tools (Prometheus, Datadog, Cloudwatch, Azure Monitor), Kubernetes autoscalers (HPA/VPA, Karpenter), CI/CD tools (GitHub, GitLab, Bitbucket, Terraform), ITSM (ServiceNow, PagerDuty, Jira), notification systems, and serverless platforms (AWS Lambda, AWS Fargate). Note: Integration availability may depend on your environment; check with Sedai for specific compatibility.
Technical documentation, including a Getting Started Guide and Kubernetes Optimization Guide, is available at docs.sedai.io/get-started. A detailed platform overview is also available on the Sedai resources page. Note: Some advanced topics may require direct support from Sedai.
Sedai is SOC 2 certified, demonstrating adherence to stringent security requirements and industry standards for data protection and compliance. More details are available on the Sedai Security page. Note: For additional certifications or compliance requirements, contact Sedai directly.
Sedai uses a volume-based pricing model, charging based on the specific resources optimized (e.g., Kubernetes pods, ECS tasks, VMs). A free tier and a 30-day free trial are available. For Kubernetes environments, Sedai recommends booking a demo to discuss your needs and determine the best pricing structure. See the Sedai pricing page for details. Note: Pricing may vary based on environment size and usage; contact Sedai for a custom quote.
Sedai is designed for IT/cloud operations, FinOps, technology leadership, platform engineering, and SRE teams in industries such as cybersecurity, financial services, healthcare, e-commerce, IT, and consumer goods. It is best suited for organizations seeking autonomous, safe, and measurable optimization of cloud and data platforms. Note: Teams requiring manual, code-level optimization may need additional tools.
Yes. KnowBe4 achieved up to 50% cost savings and reduced response time from 18.5 seconds to 80 milliseconds. Palo Alto Networks saved $3.5 million in cloud costs. Belcorp reduced AWS Lambda latency by 77%. See more case studies at sedai.io/customers. Note: Results are customer-specific and may not be representative of all environments.
Sedai addresses cost inefficiencies (up to 50% savings), operational toil (automating repetitive tasks), performance and latency issues (up to 75% reduction), lack of proactive issue resolution, complexity in multi-cloud/hybrid environments, and misaligned priorities between engineering and finance. Note: Query, schema, and code-level issues are not addressed; use complementary solutions for those needs.
Sedai now optimizes AI agents!
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Sedai doesn’t just recommend data optimizations. It makes them. Safely.
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Sedai isn’t another recommendation tool. It optimizes your data platforms for you. By deeply understanding your infra, Sedai rightsizes compute, reduces termination timeouts, and provides better cost breakdowns.
Autonomous Rightsizing
Autonomously rightsizes driver & executor nodes based on your real CPU & memory utilization. No manual tuning needed.
Release-Aware Optimization & Regression Detection
Understands how releases impact performance & cost. Sedai only optimizes when behavior is consistent & regression-free.
Performance & Availability Optimization
Detects saturation & latency early. It adjusts resources based on real workload signals to keep data platforms fast & stable.
“Sedai has helped us save millions by optimizing and managing our own back-end services. But most importantly, Sedai has allowed us to respond in real time when anomalies are detected.”
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Suresh Sangiah
SVP of Engineering // Palo Alto Networks
Get safe, outcome-driven optimization at scale. Designed to act on real application behavior, with safeguards built into every decision.
Every platform optimization is safety-checked based on behavior. Sedai only acts when it’s certain the change won't affect performance & production.
Sedai optimizes data platforms in the context of your full cloud from one platform. Across compute, storage, data services, & AI, your workloads never operate in isolation.
Get complete control, auditability, & compliance with optimizations governed by IaC & ITSM workflows.
Powered by real app behavior.
50%
Cloud Savings
75%
Performance Gain
70%
Failed Customer Interaction Reduction
Sedai makes your stack smarter and safer.
