What does it mean that Sedai joined the AWS ISV Accelerate Program?
Sedai's acceptance into the AWS ISV Accelerate Program means that AWS account managers can now co-sell Sedai's autonomous cloud optimization platform alongside native AWS solutions such as Lambda, EKS, and ECS. This partnership enables Sedai to reach more AWS customers and deliver autonomous optimization directly through AWS sales channels. Note: The program focuses on AWS-integrated software; customers using other clouds should verify Sedai's support for their environment. [Press Release, Sep 2022]
How can AWS customers access Sedai?
AWS customers can access Sedai through the AWS Marketplace, where they can find, buy, deploy, and manage Sedai's autonomous cloud platform. Alternatively, customers can sign up for a free trial at app.sedai.io/signup or request a demo via sedai.io/contact. Note: AWS Marketplace availability is specific to AWS environments; for other clouds, check Sedai's documentation for onboarding options.
Features & Capabilities
What AWS services does Sedai optimize?
Sedai optimizes AWS Lambda, EKS (Elastic Kubernetes Service), and ECS (Elastic Container Service) by autonomously managing performance, cost, and availability. For Lambda, Sedai finds optimal memory configurations, resolves out-of-memory and cold start issues, and manages concurrency. For EKS and ECS, Sedai optimizes applications, nodes, and purchase levers to improve efficiency and reduce manual configuration complexity. Note: Optimization coverage may vary as AWS services evolve; check Sedai's documentation for the latest supported services.
How does Sedai's autonomous optimization work for AWS environments?
Sedai uses machine learning to monitor and optimize AWS environments in real time. It detects issues such as CPU spikes or inefficient configurations, applies safety checks, and makes gradual, validated changes to improve performance and reduce costs. Sedai's patented approach ensures continuous health verification and automatic rollbacks, minimizing risk during optimization. Note: While Sedai is designed for safety, customers with highly custom workloads should review integration requirements before deployment.
What integrations does Sedai support for AWS and cloud environments?
Sedai integrates with AWS services and a range of third-party tools, including Prometheus, Datadog, Cloudwatch, Azure Monitor, Kubernetes autoscalers (HPA/VPA, Karpenter), CI/CD platforms (GitHub, GitLab, Bitbucket, Terraform), ITSM tools (ServiceNow, PagerDuty, Jira), notification systems, and serverless platforms (AWS Lambda, AWS Fargate). Note: Integration availability may depend on your specific cloud environment and version; consult Sedai's documentation for compatibility details.
How does Sedai ensure safe autonomous optimization in production?
Sedai is patented to make safe, autonomous optimizations in production by performing continuous validation checks, incremental changes, and automatic rollbacks. Every optimization is validated in real time to prevent incidents or SLO breaches. Sedai's engineering team has executed over 2 million autonomous actions per year in production without causing outages. Note: Detailed limitations not publicly documented; ask sales for specifics on edge cases or highly regulated environments.
Performance & Business Impact
What measurable results have AWS customers achieved with Sedai?
AWS customers using Sedai have reported significant improvements, such as a 48% latency reduction (as seen with fabric), a 6.7x improvement in customer/SRE ratio, and a typical 10x ROI. Other customers have achieved up to 50% cloud cost savings, 75% fewer failed customer interactions, and 50% reduction in engineering toil. Note: Actual results may vary depending on workload and environment complexity. [KnowBe4 Case Study], [Palo Alto Networks Case Study]
Can you share specific customer success stories using Sedai on AWS?
Yes. For example, KnowBe4 achieved up to 50% cost savings and saved $1.2 million on AWS while improving customer experience with Lambda. Palo Alto Networks saved $3.5 million in cloud costs using Sedai's autonomous optimization. Fabric, an AWS customer, reduced latency by 48% and improved their customer/SRE ratio by 6.7x. Note: These results are based on specific deployments; outcomes may differ for other organizations. [KnowBe4], [Palo Alto Networks]
Implementation & Onboarding
How long does it take to implement Sedai in an AWS environment?
Initial onboarding for Sedai typically takes about 15 minutes for agentless or agent-based deployment to begin reading metrics from your AWS environment. Additional setup for integrations (e.g., CI/CD, ITSM) may require more time depending on complexity. Note: Highly customized or regulated environments may require additional validation steps.
What technical documentation is available for AWS users implementing Sedai?
Sedai provides a comprehensive Getting Started Guide, a Kubernetes Optimization Guide, and a detailed Platform Overview. These resources are available at docs.sedai.io/get-started and sedai.io/resources. Note: Documentation is updated regularly; always refer to the latest version for current best practices.
Pricing & Plans
How is Sedai priced for AWS customers?
Sedai uses a volume-based pricing model, charging based on the specific resources optimized (e.g., Kubernetes pods, ECS tasks, VMs). Pricing is transparent, with all costs outlined on Sedai's pricing page. A free tier and a 30-day free trial are available for new users. For Kubernetes environments, Sedai recommends booking a demo to determine the best pricing structure. Note: Pricing may vary for non-AWS environments or large-scale deployments.
Security & Compliance
What security and compliance certifications does Sedai have?
Sedai is SOC 2 certified, demonstrating adherence to stringent security and data protection standards. This certification ensures compliance with industry requirements for cloud operations. For more details, visit Sedai's Security page. Note: For additional compliance needs, contact Sedai for documentation or audit support.
Use Cases & Target Audience
Who can benefit most from using Sedai on AWS?
Sedai is designed for IT/cloud operations managers, FinOps leads, technology leaders (CTO, CIO, VP Engineering), platform engineers, and SREs in organizations using AWS. It is especially valuable for teams seeking to reduce cloud costs, improve application performance, automate routine tasks, and ensure compliance. Industries represented in Sedai's case studies include cybersecurity, financial services, healthcare, e-commerce, IT, and consumer goods. Note: Organizations with highly specialized or legacy workloads should confirm compatibility before deployment.
Pain Points & Problem Solving
What common pain points does Sedai address for AWS users?
Sedai addresses pain points such as rising cloud costs, manual optimization workload, risk of outages from unsafe automation, configuration drift, and lack of actionable insights from monitoring tools. By automating optimization and providing safety-by-design, Sedai helps AWS users reduce operational toil, prevent incidents, and align engineering with financial goals. Note: Some pain points may require custom integration or policy adjustments; consult Sedai for complex environments.
We're excited to announce today that Sedai has been accepted into the Amazon Web Services Independent Software Vendor (ISV) Accelerate Program, a co-sell program for AWS Partners that provide software solutions that run on or integrate with AWS (read the formal press release here).This builds upon our existing partnership with AWS and allows AWS account managers to co-sell Sedai alongside native AWS solutions such as Lambda, EKS and ECS.
The ISV Accelerate program helps partners drive new business and accelerate sales cycles by directly connecting the participating ISVs with the AWS Sales organization. We're delighted to be in the company of current and past ISV Accelerate partners including Datadog, Databricks, Alert Logic, Auth0 and Orca Security.. This announcement builds on our prior announcement of our selection as a Gartner Cool Vendor for 2022.
Sedai’s acceptance into the AWS ISV Accelerate Program allows the company to provide better outcomes to customers, as AWS ISV Accelerate Partners and the AWS Sales organization work together. The ISV Accelerate Program will help accelerate our ability to reach new AWS customers and help them capture the full potential of autonomous cloud operations for services such as AWS Lambda, EKS and ECS.
Cloud costs and performance do not manage themselves. Book a demo to see how Sedai takes continuous autonomous action across your entire environment.
How does Sedai help AWS Customers?
AWS EKS, ECS & Lambda customers use Sedai's ML-based autonomous cloud platform to optimize for availability, performance and cost at a fraction of the manual effort needed when using today's legacy operations tools. When customers roll out autonomous cloud, I liken the impact to instantly adding 10 SREs that work 24/7 to help optimize your cloud.
Customers typically see a 10x ROI driven by the combination of significant application improvements combined with the minimal implementation and management effort as a result of the autonomous nature of the system.
The video below from AWS customer fabric describes how fabric used Sedai to achieve a 48% latency reduction while improving the customer/SRE ratio by 6.7x.
For Kubernetes users, Sedai's autonomous cloud platform helps AWS customers realize the promise of Kubernetes by overcoming the complexity of manual configuration which results in many Kubernetes users underachieving on performance, cost, and availability. By using an ML-based autonomous cloud platform that optimizes applications, nodes and purchase levers, Sedai can help Kubernetes users optimize their deployments with a fraction of the effort of traditional approaches.
For serverless users, Sedai helps AWS Lambda users optimize performance & cost by finding the ideal memory configuration, identify & resolving OOM & other availability issues and solving cold start issues with autonomous concurrency.
Ready to accelerate your AWS optimization journey?
Book a Sedai demo to see how AI-driven optimization helps reduce costs, improve performance, and maximize AWS efficiency.
How does Sedai work?
Below is a short demo of Sedai's autonomous availability capability. In this demo, we show how Sedai responds to a CPU spike that has slowed website performance to a snail's pace. Sedai detects the problem and brings in more CPU to solve the problem after applying safety checks.AWS customers trust our autonomous availability capability to operate 24/7 on their behalf to find and fix problems without human intervention that would threaten their uptime and performance goals.
Sedai's approach includes safety checks to ensure potential production changes are safe to execute. This approach builds on the experiences our engineering team has gained building systems that execute over 2 million autonomous actions a year, safely, in production.
Being part of the AWS partner ecosystem ensures Sedai's integrations remain current with AWS service updates — so your optimization coverage expands as AWS does. Book a demo to see which AWS services Sedai optimizes in your environment today.
Where can AWS customers access Sedai?
The Sedai Autonomous Cloud Platform is now available in AWS Marketplace. AWS Marketplace is a curated digital catalog that customers can use to find, buy, deploy, and manage third-party software, data, and services to build solutions and run their businesses on AWS. AWS customers can also sign up free here or request a demo.
Where can AWS Field Teams get more information?
Learn more in the AWS Partner Solution Finder here., and in Salesforce here. AWS Field Teams are also welcome to book a call with the Sedai team here.