Frequently Asked Questions

Product Information & RDS Optimization

What is Sedai's Amazon RDS optimization solution?

Sedai's Amazon RDS optimization is an autonomous platform that continuously analyzes your RDS fleet and applies rightsizing changes automatically. It uses maintenance windows and incremental adjustments to minimize production risk, focusing on instance sizing, storage configuration, and idle resource cleanup. This approach is designed to safely optimize production databases without causing incidents or breaching SLOs. Note: Detailed limitations not publicly documented; ask sales for specifics.

How does Sedai ensure safety when rightsizing Amazon RDS in production?

Sedai applies rightsizing changes during scheduled maintenance windows and uses incremental adjustments, not all-at-once changes. It performs continuous validation checks before, during, and after each action to avoid causing performance issues or SLO breaches. If risk is detected, Sedai can automatically roll back changes. Note: Best fit for teams prioritizing safety in production; teams needing manual approval for every change may want to consider alternatives.

What types of RDS resources does Sedai optimize?

Sedai optimizes RDS instance types (using 95th percentile utilization analysis), storage configuration (volume type, size, provisioned IOPS), and identifies unused resources such as inactive RDS instances and read replicas with no traffic. These are flagged for decommissioning to prevent unnecessary spend. Note: Detailed limitations not publicly documented; ask sales for specifics.

Does Sedai support both standard Amazon RDS and Aurora databases?

Yes, Sedai supports optimization for both standard Amazon RDS and Aurora databases, including instance rightsizing, storage optimization, and unused resource cleanup. Note: For Aurora-specific limitations, contact Sedai support for details.

How does Sedai handle Multi-AZ deployments for Amazon RDS?

Sedai is designed to work with Multi-AZ RDS deployments, applying rightsizing and optimization actions in a way that respects high availability requirements and minimizes risk to production workloads. Note: Detailed Multi-AZ limitations not publicly documented; ask sales for specifics.

Will Sedai automatically delete unused RDS instances?

Sedai identifies and flags inactive RDS instances and read replicas with no traffic for decommissioning. However, deletion actions are flagged for review and are not performed automatically without user approval, ensuring that no critical resources are removed unintentionally. Note: Teams requiring fully automated deletion should confirm workflow details with Sedai support.

Does Sedai support RDS optimization across multiple AWS accounts and regions?

Sedai supports optimization of Amazon RDS resources across multiple AWS accounts and regions, enabling centralized management and cost savings for organizations with complex cloud environments. Note: For advanced multi-account/region scenarios, contact Sedai for architectural guidance.

Features & Capabilities

What are the key features of Sedai's Amazon RDS optimization?

Key features include:

Note: Detailed feature limitations not publicly documented; ask sales for specifics.

How does Sedai's approach to RDS optimization differ from manual or traditional tools?

Unlike traditional tools that rely on dashboards, static rules, or manual recommendations, Sedai autonomously executes rightsizing and optimization actions in production, using incremental changes and continuous validation to avoid risk. This reduces operational toil and eliminates the need for manual intervention. Note: Teams requiring manual approval for every change may want to consider alternatives.

What integrations are available for Sedai's RDS optimization?

Sedai integrates with AWS CloudWatch for monitoring, supports notification tools, and can connect with ITSM platforms like ServiceNow, PagerDuty, and Jira for service management. It also works with CI/CD pipelines and Infrastructure as Code tools such as Terraform, GitHub, and GitLab. Note: Some integrations may require additional configuration; see documentation for details.

Implementation & Ease of Use

How long does it take to implement Sedai for Amazon RDS optimization?

Initial setup for Sedai can be completed in as little as 15 minutes using agentless or agent-based deployment to begin reading metrics. For more advanced AI agent optimization, implementation typically takes two to three weeks. Note: Actual timelines may vary based on environment complexity.

How easy is it to get started with Sedai for RDS optimization?

Sedai offers quick onboarding, with initial setup possible in 15 minutes. Customers benefit from agentless or agent-based deployment options, seamless integration with existing AWS and monitoring tools, and comprehensive support resources including documentation, onboarding sessions, and a community Slack channel. Note: Teams with highly customized AWS environments may require additional setup steps.

What support and documentation are available for Sedai's RDS optimization?

Sedai provides comprehensive technical documentation, including getting started guides and detailed instructions for cloud optimization. Personalized onboarding sessions and a community Slack channel are also available for real-time assistance. Documentation can be accessed at docs.sedai.io/get-started. Note: Some advanced use cases may require direct support from Sedai engineers.

Pricing & Plans

How is Sedai's Amazon RDS optimization priced?

Sedai uses a resource-based pricing model, where costs are determined by the resources optimized and the value delivered. All costs are transparently outlined on Sedai's pricing page, with no hidden fees. Discounts from connected cloud billing accounts (e.g., Reserved Instances or Savings Plans) are factored into cost and savings calculations. Note: For specific RDS pricing, contact Sedai sales or request a demo.

Security & Compliance

What security and compliance certifications does Sedai have?

Sedai is SOC 2 certified, demonstrating adherence to stringent security requirements for data protection and compliance. For more details, visit the Sedai Security page. Note: For additional certifications or compliance requirements, contact Sedai directly.

Business Impact & Use Cases

What business impact can customers expect from using Sedai for Amazon RDS optimization?

Customers can achieve up to 50% reduction in cloud costs by rightsizing RDS workloads, reduce operational toil, and improve database performance and reliability. Sedai's approach also reduces the risk of failed customer interactions by proactively resolving performance and availability issues. Note: Actual results may vary based on environment and usage patterns.

Who can benefit from Sedai's Amazon RDS optimization?

Sedai's RDS optimization is best suited for cloud operations managers, database administrators, FinOps leads, SREs, and platform engineers responsible for production database fleets in AWS. It is especially valuable for organizations seeking to reduce cloud costs, minimize operational risk, and automate repetitive database management tasks. Note: Teams with highly specialized or legacy database requirements should confirm compatibility with Sedai support.

Customer Proof & Success Stories

Are there any customer success stories related to Sedai's database optimization?

While specific Amazon RDS case studies are not publicly documented, Sedai has delivered measurable results for customers optimizing cloud databases and serverless platforms. For example, KnowBe4 achieved up to 50% cost savings and a 99.5% reduction in response time on AWS Lambda, and Palo Alto Networks saved $3.5 million through Sedai's autonomous optimization. For more, see Sedai's resources page. Note: For RDS-specific references, contact Sedai sales.

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WIN KEYBOARD!

RDS Rightsizing That's Actually Safe to Act On

Most teams avoid resizing production databases — the risk feels too high and the analysis too complex. Sedai continuously analyzes your RDS fleet and applies instance rightsizing changes autonomously, using maintenance windows and incremental adjustments to keep risk minimal.

Cloud Resource UI - RDS.png
Background

Sedai is an autonomous cloud optimization platform that continuously analyzes Amazon RDS fleets and autonomously rightsizes instances, optimizes storage configurations, and identifies unused resources. Unlike recommendation-only tools, Sedai applies changes through maintenance windows with incremental adjustments — making it safe enough for production databases. It supports RDS, Aurora, Multi-AZ deployments, and multi-account environments.

Nobody Touches a Production Database That's Working.

RDS handles the operational overhead of running a managed database, but the resource decisions that drive cost and performance still belong to your team. Instance sizing, storage configuration, and replica strategy are all difficult to revisit safely once a database is carrying real production traffic.

Instances get provisioned for peak load and stay there.

Rightsizing a production database means accepting regression risk on a system with high blast radius and slow recovery. Most teams make the rational choice to leave it alone — and pay for unused headroom indefinitely.

Storage configuration involves tradeoffs that aren't obvious at provisioning time.

Allocated storage can grow but can’t shrink in place, so every overestimate becomes permanent spend. Volume type and provisioned IOPS add tradeoffs, and getting them wrong means overpaying for throughput or hitting I/O limits.

Idle infrastructure compounds quietly in the background.

Dev and staging instances running outside business hours, read replicas with minimal traffic, databases for deprioritized projects — these accumulate across accounts without triggering alerts. The cost shows up in the bill; the cause rarely surfaces without a dedicated audit.

How We Help

Instance Rightsizing

Sedai analyzes utilization at the 95th percentile to identify the optimal instance type and applies changes autonomously during scheduled maintenance windows to minimize production risk.

Storage Optimization

Sedai evaluates volume type, provisioned IOPS, and throughput against actual usage, and recommends the storage configuration that meets performance requirements at the lowest cost. That includes gp2-to-gp3 migrations and trimming over-provisioned IOPS.

Unused Resource Cleanup

Sedai identifies inactive RDS instances and read replicas with no traffic, flagging them for decommissioning before they quietly accumulate months of unnecessary spend.

Sedai vs AWS Compute Optimizer

AWS Compute OptimizerSedai
Recommends instance changes; you execute manually
Analyzes, decides, and applies changes autonomously through maintenance windows
Analyzes CPU and memory only; no storage or IOPS optimization
Optimizes instance type, storage configuration, and provisioned IOPS together
Point-in-time recommendations that go stale as workloads shift
Continuous analysis with 95th-percentile modeling that adapts to traffic changes
No awareness of maintenance windows or deployment topology
Schedules changes during maintenance windows; handles Multi-AZ failover timing
No action on idle resources
Identifies inactive instances and read replicas with cost impact and connection history

Production Databases Deserve Better Than Manual Guesswork.

Frequently Asked Questions

Sedai analyzes utilization at the 95th percentile rather than average usage, ensuring recommendations preserve enough headroom for peak load. Changes are applied incrementally and scheduled during maintenance windows by default, minimizing the risk of impacting live traffic.

Yes. Sedai supports both RDS and Aurora deployments, including storage-specific optimizations for Aurora such as recommendations between Standard and I/O-Optimized storage configurations.

Sedai's rightsizing analysis accounts for Multi-AZ configurations. Instance type changes in Multi-AZ deployments involve a failover event, which Sedai schedules during the maintenance window to minimize disruption.

No. Decommissioning recommendations for inactive instances and read replicas require explicit approval. Sedai surfaces the opportunity with supporting context — connection history, cost impact — but deletion stays in human hands.

Yes. Sedai analyzes and optimizes RDS deployments across multi-account and multi-region AWS environments, with consistent rightsizing and storage optimization applied across your full fleet.