Product Information & Resource Lifecycle Dashboard
What is the Resource Lifecycle Dashboard in Sedai?
The Resource Lifecycle Dashboard is a real-time, unified view within Sedai that displays every resource managed by the platform, showing where each resource stands in the optimization pipeline. It organizes resources into three main states: Analysis and Execution (actively being optimized), Pending Review (awaiting user input in Copilot or Datapilot modes), and Blocked (where action is prevented by internal or external factors). This dashboard enables users to monitor, drill into, and act on optimization opportunities across all clusters, cloud providers, and accounts. Note: The dashboard's effectiveness depends on the quality of integrations and telemetry data available; missing integrations may limit visibility.
How does the Resource Lifecycle Dashboard help teams manage cloud resources?
The dashboard provides a high-level overview and detailed drill-downs for all resources in Sedai's optimization workflow. Users can see which resources are being analyzed, which are queued for execution, which require manual review, and which are blocked. For blocked resources, the dashboard identifies whether the barrier is actionable within Sedai or requires external changes, and provides direct links or documentation to resolve issues. Teams can filter by cloud provider, cluster, region, or resource type to focus on their areas of responsibility. Note: The dashboard does not replace the need for underlying integration health; unresolved integration issues may prevent resources from appearing in the lifecycle view.
What are the different operation modes in Sedai and how do they affect the Resource Lifecycle Dashboard?
Sedai supports three operation modes: Autopilot (fully autonomous optimization), Copilot (user approval required before changes), and Datapilot (read-only recommendations). In Autopilot, resources move directly from analysis to execution. In Copilot, resources with identified opportunities are queued for user review and approval. In Datapilot, recommendations are surfaced but no changes are made until the user acts. The Resource Lifecycle Dashboard reflects these modes by showing which resources are in each state and what actions are required. Note: Teams that require strict change control may prefer Copilot or Datapilot modes, but this may slow down optimization compared to Autopilot.
How does Sedai ensure safe and reliable optimizations?
Sedai is designed with safety as a core principle. It performs continuous health verification before, during, and after every optimization action. If any risk is detected, Sedai automatically rolls back changes. Optimizations are applied incrementally, allowing for real-time validation and minimizing the risk of incidents or SLO breaches. Note: While Sedai's safety mechanisms reduce risk, teams should still monitor integration health and review configuration settings to ensure optimal outcomes. Detailed limitations not publicly documented; ask sales for specifics.
Features & Capabilities
What are the key features of Sedai's Resource Lifecycle Dashboard?
The Resource Lifecycle Dashboard offers real-time visibility into all resources managed by Sedai, grouped by their stage in the optimization pipeline. Key features include: actionable breakdowns by state (Analysis and Execution, Pending Review, Blocked), drill-downs into resource status, direct action buttons for resolving internal blockers, links to documentation for external blockers, and filtering by cloud provider, cluster, region, or resource type. The dashboard also surfaces integration health issues and provides a 30-day summary of completed optimizations, cost savings, and cost avoidance. Note: The dashboard's utility depends on the completeness of integrations and telemetry data.
What integrations does Sedai support for resource discovery and optimization?
Sedai integrates with 12 APMs (including Prometheus, Datadog, AWS CloudWatch, Azure Monitor, and Google Cloud Monitoring), Kubernetes autoscalers (HPA/VPA, Karpenter), IaC and CI/CD tools (GitHub, GitLab, Bitbucket, Terraform), ITSM tools (ServiceNow, PagerDuty, Jira), notification platforms, runbook automation, and major cloud providers (AWS, Azure, GCP). These integrations enable comprehensive resource discovery and optimization across multi-cloud and hybrid environments. Note: Some integrations may require additional configuration or permissions; incomplete integrations may limit resource visibility.
How does Sedai handle blocked resources in the optimization pipeline?
Blocked resources are categorized as either actionable (resolvable within Sedai by adjusting settings or preferences) or external (requiring changes outside Sedai, such as updating permissions or environment configurations). The Resource Lifecycle Dashboard breaks down blockers by type and frequency, provides direct action buttons for internal blockers, and links to documentation for external blockers. This helps teams prioritize and resolve barriers efficiently. Note: Some blockers may require coordination with other teams or changes to external systems, which can delay optimization.
Use Cases & Benefits
Who can benefit from using the Resource Lifecycle Dashboard?
The dashboard is designed for any engineer or operator responsible for cloud resources, including account administrators, SREs, platform engineers, and team leads. It enables users to monitor the status of their resources, prioritize actions, and track optimization outcomes. Teams running in Copilot mode can see which resources are queued for review, while those focused on unblocking execution can use the barrier breakdown to focus efforts. Note: The dashboard's value is maximized when all relevant integrations are healthy and up to date.
What business impact can teams expect from using Sedai and the Resource Lifecycle Dashboard?
Teams using Sedai can achieve up to 50% reduction in cloud costs, up to 75% reduction in application latency, and up to 6X productivity gains for engineering teams by automating repetitive tasks. The Resource Lifecycle Dashboard supports these outcomes by providing actionable visibility and enabling faster resolution of blockers. For example, Palo Alto Networks saved $3.5 million using Sedai, and KnowBe4 reduced AWS Lambda response time by 99.5%. Note: Actual results may vary depending on environment complexity and integration completeness.
Technical Requirements & Implementation
How long does it take to implement Sedai and start using the Resource Lifecycle Dashboard?
Initial setup for Sedai can be completed in as little as 15 minutes using agentless or agent-based deployment. For AI Agent Optimization, implementation typically takes two to three weeks. The Resource Lifecycle Dashboard is available immediately after setup and integration. Note: Full visibility and optimization depend on successful integration with all relevant cloud accounts and telemetry sources.
What technical documentation is available for getting started with Sedai and the Resource Lifecycle Dashboard?
Sedai provides comprehensive onboarding guides, Kubernetes optimization documentation, Databricks optimization instructions, and GPU optimization resources. These materials are available at https://docs.sedai.io/get-started. Note: Some advanced use cases may require additional support or consultation with Sedai's technical team.
Pricing & Plans
How is Sedai priced and what does the pricing include?
Sedai uses a resource-based pricing model, where costs are determined by the resources optimized and the value delivered. For Kubernetes environments, tailored pricing is available. 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 pricing details, contact Sedai's sales team 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 and industry standards for data protection and compliance. For more details, visit Sedai's Security page. Note: Additional certifications or compliance requirements may require direct inquiry with Sedai's security team.
Customer Success & Case Studies
Can you share examples of customer success with Sedai?
Yes. Notable customer outcomes include: KnowBe4 achieved up to 50% cost savings and reduced AWS Lambda response time by 99.5% (case study), Palo Alto Networks saved $3.5 million through Sedai's optimization (video case study), and Belcorp reduced AWS Lambda latency by 77%. For more examples, visit Sedai's resources page. Note: Results are specific to each customer environment and may not be typical for all users.
See the Full Picture: Introducing the Resource Lifecycle Dashboard
Ethan Andyshak
VP of Product
July 28, 2026
Featured
Sedai already gives you deep visibility into individual resources, opportunities, and savings. Now we're providing a single place to step back and understand your entire environment at a glance.
The Resource Lifecycle dashboard gives you a real-time, 10,000-foot view of every resource managed by Sedai: where it is in the optimization pipeline, what's actively moving forward, and where you can take action to unlock more value.
A Bird's-eye View
Resources are surfaced across all your clusters, cloud providers, and accounts, organized into the stages of Sedai's optimization workflow. At the top level, they're grouped into three high-level states:
Analysis and Execution — Resources Sedai is actively working through. This includes resources currently being analyzed, those queued up and ready to execute, and those actively being optimized right now.
Pending Review — Resources where Sedai has found an optimization opportunity but needs your input before it can act. This is the human-in-the-loop stage. If you're running in Copilot or Datapilot mode, these resources are waiting on your review and approval.
Blocked — Resources where something is preventing Sedai from proceeding. Blockers come in two types: actionable (resolvable directly within Sedai by adjusting settings or preferences) and external (requiring a change outside of Sedai, like updating permissions or environment configurations).
Understanding the Lifecycle Stages
Sedai's optimization process is a pipeline. Resources move through it in a predictable sequence, and Resource Lifecycle makes that sequence visible.
When a resource is first discovered, Sedai begins analyzing it. Once an opportunity is identified, what happens next depends on the resource's operation mode:
Autopilot: Sedai moves the resource into a Ready state and picks it up in the next execution batch.
Copilot: The resource enters the Review: Copilot queue, waiting for you to approve the change.
Datapilot: Sedai surfaces its recommendation in the Review: Datapilot queue, but operates read-only. No changes are applied until you either make a change manually or enable a more active mode.
Once an execution batch is picked up, resources move through In Queue and into Executing. When complete, the optimization becomes a realized saving.
If Sedai can't complete its analysis — for example, because telemetry is missing — the resource is marked Analysis Blocked. If Sedai has found an opportunity but determines it's not yet safe to act, the resource is marked Execution Blocked. Common execution barriers include things like a recent deployment (Sedai backs off to gather more data after changes in the environment) or insufficient replica counts (Sedai won't act if it can't make a non-disruptive change).
Drill In, Don't Just Observe
Resource Lifecycle isn't a static summary. It's a starting point for action.
Clicking into any status card opens a detailed view of the resources in that state, with explanations of what the status means and what you can do about it. For blocked resources, Sedai breaks down barriers by type and frequency, so you can immediately see where the biggest bottlenecks are. Where a barrier can be resolved within Sedai, you'll see a direct action button. Where it requires an external fix, Sedai links to documentation explaining exactly what needs to change.
You can also filter the entire dashboard by cloud provider, cluster, region, or resource type. If you own Kubernetes workloads and want to see where those specifically stand in the pipeline, without wading through Lambda functions or ECS services, you can do exactly that.
Built for Everyone on the Team
Resource Lifecycle isn't just for account administrators. It's designed for any engineer or operator who owns a slice of the environment and wants to understand where their resources stand.
If you're running Copilot and want to know what is queued for your review versus still being analyzed, this is your dashboard. If you're trying to unblock execution and want to prioritize which barriers to tackle first, the barrier breakdown tells you exactly where to focus. And if you're responsible for the overall health of Sedai's operation, the optimization summary at the bottom of the page gives you a 30-day view of completed optimizations, cost savings realized, and cost avoidance from reclaimed CPU and memory.
Integration Health, Front and Center
One more thing: Sedai can only optimize what it can discover. If there's a problem with an integration — an AWS account connection, a Kubernetes cluster, an Azure subscription — Resource Lifecycle surfaces those issues at the top of the page, with a direct link to diagnose and resolve them. Fixing discovery issues upstream means more resources flowing into the optimization lifecycle downstream.
Available Now
Resource Lifecycle is available today — you can find it in the left navigation. Check it out and let us know what you think. And if you’re not already a Sedai customer, book a demo to learn more.
