Dashboard
The Dashboard is your central hub for monitoring and managing all AI operations in Kaisar AI Ops.
Overview
The dashboard provides a comprehensive view of:
Recent experiments and their status
Active deployments and health metrics
System resource usage
Quick access to common actions
Dashboard Components
1. Navigation Sidebar
Located on the left side, the sidebar provides access to:
Dashboard: Main overview (current page)
Organization: Team and access management
Deep Learning Platform: Experiments, Models, Datasets
Deployments: Production model deployments
2. Main Content Area
The central area displays:
Activity Feed: Recent experiments, deployments, and updates
Status Cards: Quick metrics and summaries
Charts and Graphs: Visual representation of performance metrics
3. Top Bar
The top navigation bar includes:
Search: Find experiments, models, datasets, or deployments
Notifications: System alerts and updates
User Profile: Access settings and logout
Key Features
Recent Activity
View your most recent:
Experiment runs and their status (running, completed, failed)
Model deployments and updates
Dataset uploads and modifications
Team member activities
Quick Actions
Common tasks accessible from the dashboard:
Create Experiment: Start a new ML training run
Deploy Model: Push a model to production
Upload Dataset: Add new training data
View Metrics: Check system performance
Metrics Overview
Monitor key performance indicators:
Active Experiments: Number of currently running experiments
Total Models: Registered models in your organization
Deployments: Active production deployments
Resource Usage: Compute and storage utilization
Customization
Filtering and Sorting
Filter by date range, status, or owner
Sort by creation time, name, or status
Save custom views for quick access
Widgets
Customize your dashboard by:
Adding or removing metric widgets
Rearranging layout
Setting default views
Navigation Tips
Keyboard Shortcuts
Ctrl/Cmd + K: Open searchCtrl/Cmd + N: Create new experimentCtrl/Cmd + D: Go to dashboard
Quick Search
Use the search bar to quickly find:
Experiments by name or ID
Models by version or tag
Datasets by name
Deployments by status
Best Practices
Check Daily: Review your dashboard daily for updates and alerts
Monitor Failures: Address failed experiments or deployments promptly
Track Resources: Keep an eye on resource usage to avoid limits
Stay Organized: Use tags and naming conventions for easy filtering
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