Frequently Asked Questions
Features & Capabilities
How does Sedai optimize Amazon DynamoDB capacity?
Sedai analyzes historical read and write capacity consumption in your DynamoDB tables to identify over-provisioned resources. It recommends adjustments to Read Capacity Units (RCUs) and Write Capacity Units (WCUs) to eliminate waste without compromising performance. Sedai also detects unused Global Secondary Indexes (GSIs) and flags them for removal, and analyzes table access frequency to recommend switching to Standard-IA table class when appropriate. Note: Sedai's recommendations are based on continuous analysis, but some advanced DynamoDB features may require manual review. Source.
Does Sedai support both provisioned and on-demand DynamoDB capacity modes?
Yes, Sedai supports both provisioned and on-demand capacity modes for DynamoDB. It analyzes your usage patterns and can recommend when switching between modes may reduce costs, such as moving from Provisioned to On-Demand when access patterns become spikier. Note: For highly specialized workloads, manual validation of recommendations is advised. Source.
How does Sedai identify unused Global Secondary Indexes (GSIs) in DynamoDB?
Sedai continuously monitors GSI access patterns and flags indexes with no sustained query activity. This helps you identify deletion candidates before they continue accumulating unnecessary storage and throughput costs. Note: Indexes used only for infrequent reporting (e.g., quarterly) may require additional review to avoid false positives. Source.
How does Sedai determine if Standard-IA is the right table class for a DynamoDB table?
Sedai analyzes the access frequency of each DynamoDB table and recommends switching to Standard-IA when the cost structure better matches actual usage patterns. This can reduce costs for tables with infrequent access. Note: For tables with unpredictable or highly variable access, manual review is recommended before switching. Source.
Does Sedai apply DynamoDB changes autonomously?
Sedai is designed to make safe, autonomous optimizations in production environments. It performs continuous health verification, incremental changes, and automatic rollbacks to ensure no incidents or SLO breaches occur. However, organizations can choose their preferred mode of operation (Datapilot, Copilot, or Autopilot) to control the level of autonomy. Note: Some organizations may require manual approval for certain changes due to compliance policies. Source.
Does Sedai support DynamoDB optimization across multiple AWS accounts?
Yes, Sedai supports optimization across multiple AWS accounts, enabling organizations with complex, multi-account environments to manage DynamoDB resources efficiently. Note: Cross-account permissions must be configured according to AWS best practices. Source.
What integrations does Sedai offer for DynamoDB optimization?
Sedai integrates with AWS CloudWatch for monitoring, as well as with notification tools, ITSM platforms like ServiceNow, PagerDuty, and Jira, and CI/CD pipelines such as GitHub, GitLab, Bitbucket, and Terraform. This ensures DynamoDB optimization actions are visible and manageable within your existing workflows. Note: Some integrations may require additional configuration. Source.
How quickly can Sedai be implemented for DynamoDB optimization?
Initial setup for Sedai can be completed in as little as 15 minutes using agentless or agent-based deployment. This allows you to begin reading metrics and identifying DynamoDB optimization opportunities rapidly. Note: Full automation and integration with enterprise workflows may require additional time for configuration and approvals. Source.
What security and compliance certifications does Sedai have?
Sedai is SOC 2 certified, demonstrating adherence to stringent security and compliance standards for data protection. This certification ensures that Sedai meets industry requirements for handling sensitive cloud and database operations. Note: For additional compliance needs, contact Sedai's security team. Source.
Pricing & Plans
How is Sedai priced for DynamoDB optimization?
Sedai uses a resource-based pricing model, meaning you pay based on the resources optimized and the value delivered. All costs are transparently outlined on Sedai's pricing page, and discounts from AWS billing (e.g., Reserved Instances or Savings Plans) are factored into cost and savings calculations. Note: For specific DynamoDB pricing, contact Sedai sales or visit the pricing page. Source.
Use Cases & Benefits
What business impact can I expect from using Sedai for DynamoDB optimization?
Customers using Sedai for cloud optimization have achieved up to 50% reduction in cloud costs, up to 75% reduction in latency, and up to 6X productivity gains for engineering teams. While these metrics are based on broader cloud optimization, DynamoDB users can expect similar cost savings and operational efficiency improvements. Note: Actual results may vary depending on workload and environment. Source.
Who can benefit from Sedai's DynamoDB optimization?
Sedai's DynamoDB optimization is best suited for cloud operations managers, FinOps leads, SREs, platform engineers, and technology leaders in organizations managing significant DynamoDB workloads. It is especially valuable for teams seeking to reduce cloud costs, automate repetitive tasks, and improve database performance. Note: Organizations with highly specialized or regulated environments may require additional validation. Source.
Support & Implementation
What support and documentation are available for implementing Sedai with DynamoDB?
Sedai provides comprehensive onboarding guides, technical documentation, and personalized onboarding sessions. Extensive resources are available at docs.sedai.io/get-started, and real-time assistance is offered via a community Slack channel. Note: Some advanced DynamoDB use cases may require direct support from Sedai's technical team. Source.
