Sedai's ECS Optimization is an autonomous solution that not only recommends but also safely implements optimizations for Amazon ECS (Elastic Container Service) in production environments. It adjusts CPU, memory, and task sizes based on real service behavior, ensuring your ECS workloads are always right-sized and cost-efficient without manual intervention. Learn more.
Sedai autonomously rightsizes ECS services and tasks by analyzing real-time application behavior, traffic patterns, and release stability. It adjusts CPU, memory, and task counts to match actual demand, improving performance and reducing costs. Optimizations are only applied when Sedai determines it's safe for production. Source.
Sedai is not just a recommendation engine—it autonomously implements optimizations in production, with built-in safeguards. It is application-aware, learning how each ECS service responds to traffic and releases, and only acts when changes are safe. This ensures outcome-driven optimization at scale, unlike tools that require manual approval or only provide suggestions. Source.
Yes, Sedai optimizes ECS workloads running on both EC2 and Fargate, ensuring fast, stable, and predictable performance across your entire ECS environment. Source.
Sedai uses application-aware intelligence to understand true service behavior and only acts when a change is safe for performance and production. It tracks deployments, detects regressions, and applies optimizations only when releases are stable, minimizing risk. Source.
Application-aware intelligence means Sedai learns how each ECS service responds to traffic, how releases affect performance, and how capacity impacts cost. This enables Sedai to make informed, context-sensitive optimizations for your ECS workloads. Source.
Sedai tracks each deployment and detects service-level regressions, using release data to understand behavior changes. It only optimizes when a release is stable, ensuring that changes do not negatively impact your services. Source.
Full-stack cloud coverage means Sedai optimizes ECS in the context of your entire cloud environment, not just in isolation. This holistic approach ensures that ECS services are optimized alongside other cloud resources for maximum efficiency. Source.
Customers have achieved up to 50% cost savings in production, 87% in development for ECS, and up to 75% performance gains, all within five months and without incidents. These results are based on real customer outcomes, such as those from KnowBe4. Read the case study.
Yes, Sedai is designed with built-in safeguards and only acts when changes are safe for performance and production. Customers like KnowBe4 have reported significant savings and performance improvements with zero incidents. Source.
Sedai provides detailed reporting on cost savings, performance gains, and reductions in failed customer interactions. Metrics such as 50% cloud savings, 75% performance gain, and 70% reduction in failed customer interactions are tracked and visualized for users. Source.
Autonomous task and service rightsizing means Sedai automatically adjusts ECS CPU, memory, and task sizes based on real service behavior, eliminating the need for manual tuning and ensuring optimal resource allocation. Source.
Sedai tracks the impact of each deployment, detects regressions, and only applies optimizations when a release is stable, ensuring that changes do not disrupt your services. Source.
Yes, Sedai provides full-stack cloud coverage, optimizing ECS in the context of your entire cloud environment for maximum efficiency. Source.
Customers typically see time to first value in as little as 14 days, with significant cost and performance improvements within the first few months. Source.
Sedai offers plug-and-play implementation, with general setup taking just 5 minutes and ECS-specific use cases typically ready in 15 minutes. Source.
Sedai provides live onboarding support, comprehensive documentation, and a Slack community for real-time assistance. You can also schedule onboarding calls for personalized help. Documentation | Slack Community | Book a call.
Sedai offers a comprehensive Getting Started Guide and platform documentation to help you configure and optimize ECS workloads. Read the docs.
Sedai is SOC 2 certified, demonstrating adherence to stringent security and compliance standards. Learn more.
Main features include autonomous task and service rightsizing, release-aware optimization, regression detection, application-aware intelligence, safe autonomy, and full-stack cloud coverage. These features ensure ECS workloads are always optimized for cost, performance, and reliability. Source.
Yes, Sedai uses machine learning to analyze monitoring data and find workload and infrastructure configurations that deliver performance improvements for ECS without additional spending. Learn more.
Yes, Sedai balances performance improvements while setting a cost cap on additional resources, ensuring you get the best performance for your ECS workloads without overspending. Source.
Yes, Sedai can automatically set and monitor Service Level Objectives (SLOs) for ECS based on past performance, alerting you to breaches and helping you maintain reliability and latency targets. Learn more.
Sedai integrates with major cloud platforms (AWS, Azure, Google Cloud), notification providers (Slack, Teams, Webhook, Email), ITSMs (BMC, Jira, ServiceNow), monitoring tools (AppDynamics, CloudWatch, DataDog, Dynatrace, New Relic, Prometheus), and CI/CD tools (GitHub, GitLab, Bitbucket, Terraform). See all integrations.
Sedai tracks total latency gains realized in production at company, account, and service levels for ECS, providing detailed latency reporting to help you measure performance improvements. Start reducing your latency.
Yes, Sedai tracks the impact of new releases on ECS latency, cost, and errors using scorecards, helping you understand the effect of deployments on your services. Learn more.
Sedai's ECS optimization is ideal for Site Reliability Engineers, Platform Engineers, DevOps teams, Engineering Leaders, CTOs, and Architects in organizations managing cloud operations across industries such as cybersecurity, SaaS, financial services, e-commerce, and more. Learn more.
Customers can expect up to 50% cost savings, 75% performance gains, and 70% reduction in failed customer interactions. Sedai delivers a calculated ROI of 762%, with a payback period of just 3 months and time to first value in 14 days. Source.
Sedai addresses high cloud costs, application latency, availability issues, manual toil, and release quality concerns for ECS users. Customers like KnowBe4 and Palo Alto Networks have seen significant cost savings and performance improvements. KnowBe4 case study | Palo Alto Networks case study.
Industries represented include cybersecurity, information technology, financial services, SaaS, supply chain solutions, insurance software, scientific research, e-commerce, and online travel. See all case studies.
Notable customers include Palo Alto Networks, HP, Experian, KnowBe4, Capital One, Flex, Guidewire, Oak Ridge National Laboratory, and Freshworks. See customer stories.
KnowBe4 achieved up to 50% cost savings in production and 87% in development for ECS within five months, with zero incidents. Read the full story.
Sedai ensures higher uptime and reliability for ECS by reducing cold start latency and proactively resolving issues before they impact users. Inflection case study.
Sedai uses release intelligence tools to track changes in cost, latency, and errors for ECS, helping teams ensure smooth deployments and minimize errors. Freshworks case study.
Sedai offers 100% autonomous optimization, executing changes in real-time, while tools like StormForge and nOps typically provide recommendations that require manual intervention. Sedai's approach reduces manual effort and delivers faster results. See comparison.
Enterprises benefit from significant cost savings and compliance (e.g., SOC 2), DevOps teams see reduced manual toil, cloud engineers gain efficiency, and startups/SMBs enjoy quick setup and flexible pricing. See details.
Sedai provides 100% autonomous optimization, comprehensive coverage across platforms, AI-driven insights, proactive issue resolution, and release intelligence. These features deliver superior cost savings, performance, and reliability compared to traditional tools. See comparison.
Sedai autonomously optimizes cloud resources, reducing overprovisioning and improving utilization, while competitors often focus on visibility or recommendations. Customers like KnowBe4 and Palo Alto Networks have achieved up to 50% savings. KnowBe4 case study.
Sedai doesn’t just recommend ECS optimizations. It makes them. Safely.
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Sedai isn’t another recommendation tool. It optimizes ECS for you. By deeply understanding your infra, Sedai rightsizes services & tasks. Always based on your goals.
Autonomous Task & Service Rightsizing
Autonomously adjusts CPU, memory, & task size based on real service behavior. No manual tuning needed.
Release-Aware Optimization & Regression Detection
Tracks each deployment & detects service-level regressions, using releases to understand behavior changes. And it only optimizes when a release is stable.
Performance & Availability Optimization
Optimizes performance & service capacity based on workload behavior. Keep ECS fast, stable, & predictable across EC2 or Fargate.
“Since going live with Sedai, we've achieved remarkable cost savings: up to 50% in production & 87% in development for ECS and up to 99.3% in Lambda—all within just five months without any incidents."
Matt Duren
VP of Engineering // KnowBe4
Get safe, outcome-driven optimization at scale. Designed to act on real application behavior, with safeguards built into every decision.
Sedai learns how each ECS service responds to traffic, how releases affect performance, & how capacity impacts cost. So every optimization is app-informed.
By understanding true service behavior, Sedai only acts when a change is safe for performance & production.
Sedai optimizes ECS in the context of your full cloud from one platform. Your services never operate in isolation.
Powered by real app behavior.
50%
Cloud Savings
75%
Performance Gain
70%
Failed Customer Interaction Reduction
