Metrics
Learn about the metrics available in Stook Analytics and how they reflect usage, performance, and reliability across your Stook Buckets.
Stook Analytics metrics provide quantitative insight into how your Stook Object Storage buckets are accessed and used over time.
Metrics are calculated from request-level data generated by Stook API operations. They are aggregated based on the selected filters and time range in Stook Analytics.
Requests
Requests represents the total number of API requests processed by Stook Object Storage.
This metric includes all supported Stook API operations, such as object retrieval, upload, listing, and deletion.
Use this metric to:
Monitor overall activity levels
Detect sudden traffic increases or drops
Compare usage across buckets or endpoints
Bytes
Bytes represents the total amount of data transferred as part of Stook API requests.
This metric includes data transferred both to and from Stook Object Storage.
Use this metric to:
Measure data transfer volume
Analyze bandwidth consumption
Correlate traffic volume with storage usage
Throughput
Throughput represents the rate at which data is transferred over time.
It is calculated as the amount of data transferred per second within the selected time interval.
Use this metric to:
Evaluate data transfer efficiency
Identify performance bottlenecks
Analyze sustained versus burst traffic patterns
IO Rate
IO Rate represents the number of requests processed per second.
This metric reflects how frequently applications interact with Stook buckets.
Use this metric to:
Analyze request intensity
Identify high-frequency access patterns
Monitor load characteristics per bucket
Average Response Time
Average Response Time represents the average time required to process a request.
It is calculated across all requests within the selected scope and time range.
Use this metric to:
Monitor request latency
Detect performance degradation
Validate application responsiveness
Success Rate
Success Rate represents the percentage of requests completed successfully.
Successful requests are typically identified by 2xx HTTP status codes.
Use this metric to:
Measure service reliability
Track operational stability
Validate access and configuration correctness
Failure Rate
Failure Rate represents the percentage of requests that resulted in an error.
This includes both client-side (4xx) and server-side (5xx) responses.
Use this metric to:
Detect access or permission issues
Identify malformed or invalid requests
Monitor error trends over time
4xx Ratio
4xx Ratio represents the proportion of client-side errors.
These errors usually indicate issues such as invalid requests, authentication failures, or missing resources.
Use this metric to:
Identify application-level issues
Detect incorrect request patterns
Review access control configuration
5xx Ratio
5xx Ratio represents the proportion of server-side errors.
These errors may indicate temporary service issues or internal processing failures.
Use this metric to:
Monitor platform stability
Identify systemic issues
Support troubleshooting and incident analysis
Total Stored Data
Total Stored Data represents the total size of data currently stored across the selected Stook Buckets.
This metric reflects storage usage rather than request activity.
Use this metric to:
Track storage growth over time
Monitor capacity usage
Support planning and cost-related decisions
Metric Availability and Limits
Related topics
Stook Analytics (dashboard, filters, raw logs)
Stook Analytics API Reference (pull the same metrics via API)
Stook API Reference (bucket operations, credentials, settings)
Getting Started with Stook (create buckets, credentials, FTP)
Manage Access Keys (rotate keys, tighten access)
Connect Stook Bucket to CDN (serve objects via CDN)
HTTP Response Codes (what 2xx/4xx/5xx mean)
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