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| | Shows the number of Seed Peer instances summarized by version at the current time, reflecting the availability and deployment scale of instances for each version. - Under normal circumstances, the instance count remains stable and consistent with the expected deployment scale and version distribution.
- If this count drops abnormally or falls to 0, some or all instances may be unavailable, or monitoring information collection may be abnormal. Check the pod status, add-on replica count, version changes, and metric collection targets.
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Traffic distribution (1 hour) | | Shows the cumulative increase in traffic aggregated by download type for the Seed Peer over the past 1 hour, reflecting the traffic distribution across different sources or transmission types. - Under normal conditions, the cumulative traffic changes smoothly with actual download load, and the proportion of each type matches the application's access pattern.
- If the cumulative traffic or type distribution spikes, drops, or skews abnormally, it typically indicates a sudden change in download load, a shift in P2P hit paths, or abnormal back-to-origin traffic. Check the application release cadence, download type labels, P2P links, and origin server access status.
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| | Shows the total disk space and available disk space (total minus used) aggregated by Pod for the Seed Peer at the current moment, reflecting local cache storage capacity and usage. - Under normal conditions, the total disk space stays stable, and available space is sufficient, changing smoothly with cache writes and reclaims.
- If available space drops abnormally or total space changes unexpectedly, it usually indicates continuous cache growth, delayed reclaim, or mount capacity changes. Check the cache directory usage, cleanup policy, disk mounts, and Pod logs.
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| | Shows the instantaneous download rate (converted to bit/s) aggregated by Pod and download type for the Seed Peer over the last 5 minutes, reflecting the bandwidth load on the download link. - Under normal conditions, the download bandwidth changes smoothly with the business load, and the changes across different download types are consistent with the actual task volume.
- If the download bandwidth rises or drops abnormally or fluctuates sharply, it typically indicates a sudden change in download load, link congestion, P2P transmission anomalies, or discontinuous metric collection. Check the download task count, network bandwidth, peer connections, and add-on logs.
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| | Shows the instantaneous upload rate (converted to bit/s) aggregated by Pod for the Seed Peer over the last 5 minutes, reflecting the bandwidth load for outbound data serving. - Under normal conditions, the upload bandwidth changes smoothly with downstream request volume and is consistent with the distribution tasks handled by the node.
- If this value spikes, drops, or fluctuates sharply, it usually indicates sudden changes in downstream requests, link congestion, data distribution anomalies, or incomplete metric collection. Check the distribution task volume, network bandwidth, peer connections, and add-on logs.
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Total number of parallel download tasks | | Shows the number of Seed Peers' concurrent download tasks aggregated by Pod at the current moment, reflecting real-time download concurrency pressure. - Under normal conditions, the number of concurrent tasks changes smoothly with the business load and does not accumulate continuously.
- An abnormal spike in the number of concurrent tasks, or a prolonged failure to drop back, typically indicates a sudden surge in requests, slow downloads, or task blocking. Check the download queue, network and disk performance, upstream services, and add-on logs.
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Small file download time (0-64MiB) | | Shows the P50, P95, and P99 download latency percentiles for the Seed Peer in the last 5 minutes, broken down by task size tier for files in the 0–64 MiB range. This information reflects the distribution of latencies for downloading small files. - Under normal conditions, latency at each percentile stays stable, with no continuous widening between higher percentiles and the median.
- If download latency increases abnormally or higher percentiles degrade continuously, it usually indicates network congestion, slow peer responses, disk I/O bottlenecks, or task queuing. Check the percentile curves, task size tiers, network and disk performance, and add-on logs.
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Return to source small file download time (0-64MiB) | | Shows the P50, P95, and P99 latency percentiles of back-to-origin requests for the Seed Peer in the last 5 minutes, broken down by task size tier for files in the 0–64 MiB range. This information reflects the distribution of latencies for downloading data from the origin server. - Under normal conditions, the back-to-origin latency across all percentiles remains stable, with no sustained widening between the higher percentiles and the median.
- If the back-to-origin latency rises abnormally or the higher percentiles deteriorate continuously, it typically indicates slow origin server responses, back-to-origin network congestion, disk I/O bottlenecks, or request queuing. Check the origin server's health, back-to-origin link, task size tiers, and add-on logs.
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Total number of downloads | | Shows the cumulative increase in download tasks aggregated by Pod over the past 1 minute in the Seed Peer, reflecting short-cycle download task load. - Under normal conditions, the task count changes smoothly with download volume and matches actual image pull activity.
- If this count spikes, drops, or stops, it usually indicates sudden workload changes, download entry anomalies, or metric collection anomalies. Check image pull events, pod request distribution, add-on state, and the collection pipeline.
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Total number of failed download tasks | | Shows the cumulative increase in download task failures aggregated by Pod over the past 1 minute in the Seed Peer, reflecting short-cycle download failures. - Under normal conditions, the failure increment remains at 0 or stays low and stable.
- If the failure increment rises abnormally, it typically indicates failures in the network, origin server, peer nodes, disk, or task processing pipeline. Check the failed task logs, network connectivity, origin server and peer health status, and disk space.
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Total number of proxy request tasks | | Shows the cumulative increase in proxy request tasks aggregated by Pod over the past 1 minute in the Seed Peer, reflecting short-cycle proxy request load. - Under normal conditions, the request increment changes steadily in line with business traffic volume and is consistent with actual proxy traffic.
- If the request increment rises, drops, or is interrupted abnormally, it usually indicates a sudden change in business traffic, proxy entry anomalies, or metric collection anomalies. Check proxy request logs, client access, Pod status, and the collection pipeline.
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Total number of proxy request task failures | | Shows the cumulative increase in proxy request task failures aggregated by Pod over the past 1 minute in the Seed Peer, reflecting short-cycle proxy request failures. - Under normal conditions, the failure increment remains at 0 or stays low and stable.
- If the failure increment rises abnormally, it typically indicates failures in the proxy path, upstream services, authentication configuration, or network connections. Check the failed request logs, upstream availability, proxy configuration, and network connectivity.
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Total number of prefetch tasks | | Shows the cumulative increase in prefetch tasks aggregated by Pod over the past 1 minute in the Seed Peer, reflecting short-cycle prefetch load. - Under normal conditions, the task count changes smoothly with the prefetch plan and matches actual prefetch activity.
- If this count spikes, drops, or stops, it usually indicates sudden changes in the prefetch plan, task dispatch anomalies, or metric collection anomalies. Check the prefetch configuration, task dispatch records, pod state, and the collection pipeline.
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Total number of return download requests | | Shows the cumulative increase in back-to-origin download requests aggregated by Pod over the past 1 minute in the Seed Peer, reflecting short-cycle access load on the origin server. - Under normal conditions, the request increment changes smoothly with the business load and is consistent with P2P cache misses and the back-to-origin policy.
- An abnormal spike, drop, or interruption in the request increment typically indicates a change in the P2P hit rate, a sudden change in business requests, a back-to-origin policy anomaly, or a metric collection anomaly. Check the P2P hit status, back-to-origin configuration, origin server access logs, and metric collection pipeline.
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Total number of failed download requests | | Shows the cumulative increase in failed back-to-origin download requests aggregated by Pod over the past 1 minute in the Seed Peer, reflecting short-cycle failures in accessing the origin server. - Under normal conditions, the failure increment remains at 0 or stays low and stable.
- An abnormal spike in the failure increment typically indicates origin server unavailability, back-to-origin network failures, authentication failures, or request timeouts. Check the origin server's health status, network connectivity, authentication configuration, and failed request logs.
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| | Shows the current thread count per Seed Peer process, reflecting process and thread resource usage. - Under normal conditions, the thread count stays stable and changes within a reasonable range with concurrency load.
- If this count spikes, drops, or keeps growing, it usually indicates a concurrency surge, thread leaks, task blocking, or process anomalies. Check the process state, thread stacks, task queues, and add-on logs.
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| | Shows the average CPU usage per Pod for the Seed Peer in the last 1 minute, reflecting the compute resource load on the add-on. - Under normal conditions, the CPU usage changes steadily in line with application load, with no sustained high levels or unexplained spikes.
- If the CPU usage rises, drops, or fluctuates sharply, it typically indicates sudden request surges, compute hotspots, process blocking, or instance anomalies. Check the Pod load, CPU limits and throttling, hotspot operations, and add-on logs.
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| | Shows the resident memory usage of each Seed Peer process at the current moment, reflecting the physical memory size of the add-on. - Under normal conditions, memory usage remains stable and varies within a controllable range with the business load.
- If memory usage rises abnormally or grows continuously, it typically indicates cache accumulation, memory leaks, task backlogs, or a sudden load spike. Check the Pod memory limits, process memory profiles, cache and task queues, and OOM events.
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| | Shows the current number of open file descriptors per Seed Peer process, reflecting file and network connection resource usage. - Under normal conditions, the file descriptor count stays stable and changes smoothly with connection and file access volume.
- If this count increases abnormally or keeps growing, it usually indicates connection leaks, unreleased file handles, or request backlogs. Check the process FD limit, network connections, file access, and add-on logs.
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| | Shows the number of Peer instances summarized by version at the current time, reflecting the availability and deployment scale of instances for each version. - Under normal circumstances, the instance count remains stable and consistent with the expected deployment scale and version distribution.
- If this count drops abnormally or falls to 0, some or all instances may be unavailable, or monitoring information collection may be abnormal. Check the pod status, add-on replica count, version changes, and metric collection targets.
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Traffic distribution (1 hour) | | Shows the cumulative increase in traffic aggregated by download type for the Peers over the past 1 hour, reflecting the traffic distribution across different sources or transfer types. - Under normal conditions, the cumulative traffic changes smoothly with actual download load, and the proportion of each type matches the application's access pattern.
- If the cumulative traffic or type distribution spikes, drops, or skews abnormally, it typically indicates a sudden change in download load, a shift in P2P hit paths, or abnormal back-to-origin traffic. Check the application release cadence, download type labels, P2P links, and origin server access status.
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| | Shows the total disk space and available disk space (total minus used) aggregated by Pod for the Peer at the current moment, reflecting local cache storage capacity and usage. - Under normal conditions, the total disk space stays stable, and available space is sufficient, changing smoothly with cache writes and reclaims.
- If available space drops abnormally or total space changes unexpectedly, it usually indicates continuous cache growth, delayed reclaim, or mount capacity changes. Check the cache directory usage, cleanup policy, disk mounts, and Pod logs.
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| | Shows the instantaneous download rate (converted to bit/s) aggregated by Pod and download type for the Peers over the last 5 minutes, reflecting the bandwidth load on the download link. - Under normal conditions, the download bandwidth changes smoothly with the business load, and the changes across different download types are consistent with the actual task volume.
- If the download bandwidth rises or drops abnormally or fluctuates sharply, it typically indicates a sudden change in download load, link congestion, P2P transmission anomalies, or discontinuous metric collection. Check the download task count, network bandwidth, peer connections, and add-on logs.
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| | Shows the instantaneous upload rate (converted to bit/s) aggregated by Pod for the Peer over the last 5 minutes, reflecting the bandwidth load for outbound data serving. - Under normal conditions, the upload bandwidth changes smoothly with downstream request volume and is consistent with the distribution tasks handled by the node.
- If this value spikes, drops, or fluctuates sharply, it usually indicates sudden changes in downstream requests, link congestion, data distribution anomalies, or incomplete metric collection. Check the distribution task volume, network bandwidth, peer connections, and add-on logs.
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Total number of parallel download tasks | | Shows the number of Peers' concurrent download tasks aggregated by Pod at the current moment, reflecting real-time download concurrency pressure. - Under normal conditions, the number of concurrent tasks changes smoothly with the business load and does not accumulate continuously.
- An abnormal spike in the number of concurrent tasks, or a prolonged failure to drop back, typically indicates a sudden surge in requests, slow downloads, or task blocking. Check the download queue, network and disk performance, upstream services, and add-on logs.
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Small file download time (0-64MiB) | | Shows the P50, P95, and P99 download latency percentiles for the Peers in the last 5 minutes, broken down by task size tier for files in the 0–64 MiB range. This information reflects the distribution of latencies for downloading small files. - Under normal conditions, latency at each percentile stays stable, with no continuous widening between higher percentiles and the median.
- If download latency increases abnormally or higher percentiles degrade continuously, it usually indicates network congestion, slow peer responses, disk I/O bottlenecks, or task queuing. Check the percentile curves, task size tiers, network and disk performance, and add-on logs.
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Return to source small file download time (0-64MiB) | | Shows the P50, P95, and P99 latency percentiles of back-to-origin requests for the Peers in the last 5 minutes, broken down by task size tier for files in the 0–64 MiB range. This information reflects the distribution of latencies for downloading data from the origin server. - Under normal conditions, the back-to-origin latency across all percentiles remains stable, with no sustained widening between the higher percentiles and the median.
- If the back-to-origin latency rises abnormally or the higher percentiles deteriorate continuously, it typically indicates slow origin server responses, back-to-origin network congestion, disk I/O bottlenecks, or request queuing. Check the origin server's health, back-to-origin link, task size tiers, and add-on logs.
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Total number of downloads | | Shows the cumulative increase in download tasks aggregated by Pod over the past 1 minute in the Peer, reflecting short-cycle download task load. - Under normal conditions, the task count changes smoothly with download volume and matches actual image pull activity.
- If this count spikes, drops, or stops, it usually indicates sudden workload changes, download entry anomalies, or metric collection anomalies. Check image pull events, pod request distribution, add-on state, and the collection pipeline.
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Total number of failed download tasks | | Shows the cumulative increase in download task failures aggregated by Pod over the past 1 minute in the Peers, reflecting short-cycle download failures. - Under normal conditions, the failure increment remains at 0 or stays low and stable.
- If the failure increment rises abnormally, it typically indicates failures in the network, origin server, peer nodes, disk, or task processing pipeline. Check the failed task logs, network connectivity, origin server and peer health status, and disk space.
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Total number of proxy request tasks | | Shows the cumulative increase in proxy request tasks aggregated by Pod over the past 1 minute in the Peers, reflecting short-cycle proxy request load. - Under normal conditions, the request increment changes steadily in line with business traffic volume and is consistent with actual proxy traffic.
- If the request increment rises, drops, or is interrupted abnormally, it usually indicates a sudden change in business traffic, proxy entry anomalies, or metric collection anomalies. Check proxy request logs, client access, Pod status, and the collection pipeline.
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Total number of proxy request task failures | | Shows the cumulative increase in proxy request task failures aggregated by Pod over the past 1 minute in the Peers, reflecting short-cycle proxy request failures. - Under normal conditions, the failure increment remains at 0 or stays low and stable.
- If the failure increment rises abnormally, it typically indicates failures in the proxy path, upstream services, authentication configuration, or network connections. Check the failed request logs, upstream availability, proxy configuration, and network connectivity.
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Total number of prefetch tasks | | Shows the cumulative increase in prefetch tasks aggregated by Pod over the past 1 minute in the Peers, reflecting short-cycle prefetch load. - Under normal conditions, the task count changes smoothly with the prefetch plan and matches actual prefetch activity.
- If this count spikes, drops, or stops, it usually indicates sudden changes in the prefetch plan, task dispatch anomalies, or metric collection anomalies. Check the prefetch configuration, task dispatch records, pod state, and the collection pipeline.
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Total number of prefetch task failures | | Shows the cumulative increase in prefetch task failures aggregated by Pod over the past 1 minute in the Peers, reflecting short-cycle prefetch failures. - Under normal conditions, the failure increment remains at 0 or stays low and stable.
- If the failure increment rises abnormally, it typically indicates prefetch source unavailability, network or disk anomalies, invalid task parameters, or processing pipeline failures. Check the prefetch task logs, origin server availability and network connectivity, disk space, and prefetch configuration.
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Total number of return download requests | | Shows the cumulative increase in back-to-origin download requests aggregated by Pod over the past 1 minute in the Peers, reflecting short-cycle access load on the origin server. - Under normal conditions, the request increment changes smoothly with the business load and is consistent with P2P cache misses and the back-to-origin policy.
- An abnormal spike, drop, or interruption in the request increment typically indicates a change in the P2P hit rate, a sudden change in business requests, a back-to-origin policy anomaly, or a metric collection anomaly. Check the P2P hit status, back-to-origin configuration, origin server access logs, and metric collection pipeline.
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Total number of failed download requests | | Shows the cumulative increase in failed back-to-origin download requests aggregated by Pod over the past 1 minute in the Peers, reflecting short-cycle failures in accessing the origin server. - Under normal conditions, the failure increment remains at 0 or stays low and stable.
- An abnormal spike in the failure increment typically indicates origin server unavailability, back-to-origin network failures, authentication failures, or request timeouts. Check the origin server's health status, network connectivity, authentication configuration, and failed request logs.
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| | Shows the current thread count per Peer process, reflecting process and thread resource usage. - Under normal conditions, the thread count stays stable and changes within a reasonable range with concurrency load.
- If this count spikes, drops, or keeps growing, it usually indicates a concurrency surge, thread leaks, task blocking, or process anomalies. Check the process state, thread stacks, task queues, and add-on logs.
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| | Shows the average CPU usage per Pod for the Peers in the last 1 minute, reflecting the compute resource load on the add-on. - Under normal conditions, the CPU usage changes steadily in line with application load, with no sustained high levels or unexplained spikes.
- If the CPU usage rises, drops, or fluctuates sharply, it typically indicates sudden request surges, compute hotspots, process blocking, or instance anomalies. Check the Pod load, CPU limits and throttling, hotspot operations, and add-on logs.
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| | Shows the resident memory usage of each Peer process at the current moment, reflecting the physical memory size of the add-on. - Under normal conditions, memory usage remains stable and varies within a controllable range with the business load.
- If memory usage rises abnormally or grows continuously, it typically indicates cache accumulation, memory leaks, task backlogs, or a sudden load spike. Check the Pod memory limits, process memory profiles, cache and task queues, and OOM events.
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| | Shows the current number of open file descriptors per Peer process, reflecting file and network connection resource usage. - Under normal conditions, the file descriptor count stays stable and changes smoothly with connection and file access volume.
- If this count increases abnormally or keeps growing, it usually indicates connection leaks, unreleased file handles, or request backlogs. Check the process FD limit, network connections, file access, and add-on logs.
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| | Shows the number of Scheduler instances summarized by version at the current time, reflecting the availability and deployment scale of instances for each version. - Under normal circumstances, the instance count remains stable and consistent with the expected deployment scale and version distribution.
- If this count drops abnormally or falls to 0, some or all instances may be unavailable, or monitoring information collection may be abnormal. Check the pod status, add-on replica count, version changes, and metric collection targets.
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Total number of gRPC requests | | Shows the cumulative increase in processed requests aggregated by Pod and gRPC status code over the past 1 minute in the Scheduler, reflecting short-cycle gRPC request load and result distribution. - Under normal conditions, the request increment changes smoothly with the scheduling load, with success status codes accounting for the majority.
- An abnormal spike in the request increment or the number of error status codes typically indicates a sudden surge in call volume, service processing failures, timeouts, or dependency anomalies. Check the gRPC status code distribution, caller requests, Scheduler logs, and dependent services.
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Total number of parallel scheduling tasks | | Shows the number of concurrent scheduling tasks aggregated by Pod in the Scheduler at the current moment, reflecting real-time scheduling concurrency pressure. - Under normal conditions, the number of concurrent tasks changes smoothly with the business load and does not accumulate continuously.
- If this count spikes or stays high for an extended period, it usually indicates scheduling request surges, slow processing, or task blocking. Check the scheduling queue, CPU and memory resources, downstream interactions, and Scheduler logs.
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Total number of scheduled registered tasks | | Shows the cumulative increase in scheduling registration tasks aggregated by Pod over the past 1 minute in the Scheduler, reflecting short-cycle node registration load. - Under normal conditions, the task increment changes steadily in line with node registration activity and is consistent with actual node joining or registration behavior.
- If the task increment rises, drops, or is interrupted abnormally, it typically indicates a sudden change in node registration activity, registration path anomalies, or metrics collection pipeline issues. Check node joining events, registration request logs, Scheduler status, and the metric collection pipeline.
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Total number of failed scheduling registration tasks | | Shows the cumulative increase in scheduling registration task failures aggregated by Pod over the past 1 minute in the Scheduler, reflecting short-cycle node registration failures. - Under normal conditions, the failure increment remains at 0 or stays low and stable.
- If the failure increment rises abnormally, it typically indicates invalid node information, network anomalies, service processing failures, or dependency faults. Check the registration failure logs, node parameters, network connectivity, and dependent services.
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Total number of scheduled tasks | | Shows the cumulative increase in scheduling tasks aggregated by Pod over the past 1 minute in the Scheduler, reflecting short-cycle scheduling load. - Under normal conditions, the task count changes smoothly in line with download requests and is consistent with actual scheduling activity.
- If this count spikes, drops, or stops, it usually indicates sudden changes in scheduling requests, service processing anomalies, or metric collection anomalies. Check scheduling request logs, client activity, Scheduler status, and the collection pipeline.
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Total number of scheduled task failures | | Shows the cumulative increase in scheduling task failures aggregated by Pod over the past 1 minute in the Scheduler, reflecting short-cycle task scheduling failures. - Under normal conditions, the failure increment remains at 0 or stays low and stable.
- If the failure increment rises abnormally, it typically indicates insufficient available peers, scheduling policy anomalies, dependency failures, or invalid request parameters. Check the scheduling failure logs, peer node status, scheduling configuration, and dependent services.
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Total number of information reported by nodes | | Shows the cumulative increase in node info reports aggregated by Pod over the past 1 minute in the Scheduler, reflecting short-cycle node status reporting load. - Under normal conditions, the report increment changes steadily in line with node scale and reporting intervals.
- If the report increment rises, drops, or is interrupted abnormally, it usually indicates sudden changes in node count, reporting retries, network issues, or collection anomalies. Check node status, reporting interval, network connectivity, and Scheduler logs.
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Total number of failures reported by nodes | | Shows the cumulative increase in node info report failures aggregated by Pod over the past 1 minute in the Scheduler, reflecting short-cycle node status report failures. - Under normal conditions, the failure increment remains at 0 or stays low and stable.
- If this count increases abnormally, it usually indicates invalid node information, network issues, service processing failures, or dependency faults. Check reporting failure logs, node state, network connectivity, and dependent services.
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Total number of nodes releasing information | | Shows the cumulative increase in node release info events aggregated by Pod over the past 1 minute in the Scheduler, reflecting short-cycle node exits or release event load. - Under normal conditions, the event increment matches the actual node removal or release activity, with no unexplained spikes.
- If this count spikes, drops, or stops, it typically indicates frequent node joining or removal, release process anomalies, or metric collection anomalies. Check node lifecycle events, release request logs, Scheduler state, and the collection pipeline.
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Total number of failures to release information from nodes | | Shows the cumulative increase in node release info failures aggregated by Pod over the past 1 minute in the Scheduler, reflecting short-cycle node exit or release failures. - Under normal conditions, the failure increment remains at 0 or stays low and stable.
- If this count increases abnormally, it usually indicates inconsistent node states, network issues, service processing failures, or dependency faults. Check release failure logs, node state, network connectivity, and dependent services.
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| | Shows the current Goroutine count per Scheduler process, reflecting the Go runtime concurrency scale. - Under normal conditions, the Goroutine count stays stable and changes within a reasonable range with scheduling load.
- If this count spikes, drops, or keeps growing, it usually indicates a concurrency surge, Goroutine leaks, task blocking, or process anomalies. Check Goroutine stacks, task queues, dependency calls, and Scheduler logs.
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| | Shows the average CPU usage per Pod for the Scheduler in the last 1 minute, reflecting the compute resource load on the add-on. - Under normal conditions, the CPU usage changes steadily in line with scheduling load, with no sustained high levels or unexplained spikes.
- If the CPU usage rises, drops, or fluctuates sharply, it typically indicates a sudden surge in scheduling requests, compute hotspots, process blocking, or instance anomalies. Check the Pod load, CPU limits and throttling, hotspot operations, and Scheduler logs.
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| | Shows the resident memory usage of each Scheduler process at the current moment, reflecting the physical memory size of the add-on. - Under normal conditions, memory usage remains stable and varies within a controllable range with the scheduling load.
- If memory usage rises abnormally or grows continuously, it typically indicates cache accumulation, memory leaks, task backlogs, or a sudden load spike. Check the Pod memory limits, process memory profiles, cache and task queues, and OOM events.
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| | Shows the current number of open file descriptors per Scheduler process, reflecting file and network connection resource usage. - Under normal conditions, the file descriptor count stays stable and changes smoothly with connection and file access volume.
- If this count increases abnormally or keeps growing, it usually indicates connection leaks, unreleased file handles, or request backlogs. Check the process FD limit, network connections, file access, and Scheduler logs.
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Volcengine Kubernetes Engine
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