Issue Description
An enterprise customer reports missing video or audio recording assets for a specific live session and requires comprehensive tracking of all Cloud Recording API transactions (specifically including the acquire, start, query, and stop lifecycle events). Due to incomplete or unbuffered logging configurations within the customer’s application server backend, they are unable to audit whether a stop signal was programmatically dispatched, leading to discrepancies in billing duration and session state resolution.
Platform and SDK Context
Deployment Architecture: Customer Application Server (Backend Control Layer)
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Software Core Suite: Cloud Recording RESTful API Service
Root Cause Analysis
The inability to audit the recording session state originates from a failure to capture and store transaction HTTP payloads on the customer’s backend database, coupled with a highly probable omission of the active termination signal.
When investigating missing recording stop sequences, there are two primary operational failure paths:
Integration Omission: The customer's application backend fails to execute the outbound HTTPS request to the Cloud Recording
stopresource due to logical routing race conditions or server crashes prior to session end.Automatic Session Termination: The recording engine triggers its automatic teardown routines (such as the channels dropping below active participant thresholds, or exceeding the pre-configured maximum idle timeout duration).
Because the customer's database lacks chronological request-and-response auditing tables for RESTful handshakes, these automatic termination states cannot be distinguished from active client commands without extracting direct media gateway tracking logs.
Solution and Resolution Steps
1. Extract Session Telemetry Identifiers
Request the customer to provide the minimum essential session metadata required to perform a cloud-side diagnostic trace:
Targeted Channel Name
Session Identifier (SID) and Resource Identifier (Resource ID)
Approximate timestamp range of the active call (aligned to Coordinated Universal Time)
Bound participant User Identifiers
2. Audit Customer-Side Backend Transaction Records
Guide the customer's engineering team to run SQL queries or log aggregator searches across their backend system, scanning specifically for the following RESTful API endpoint pathways associated with the target session:
acquirestartquerystop
3. Perform Cloud-Side Gateway Log Trace
If the customer’s internal records are corrupt or empty, utilize internal support diagnostic panels to fetch backend event traces for the matching Session Identifier. Verify and document the status codes returned by the cloud gateway for each phase:
Acquire Request: Verify HTTP response and corresponding payload integrity.
Start Request: Verify whether the subscription parameters were properly committed.
Query Request: Analyze the operational state machine sequence.
4. Verify Stop API Trigger Execution
Cross-reference the cloud-side event logs against the customer’s timeline. If the cloud database returns zero records for a inbound stop API call, confirm with the customer that their server-side scheduler did not dispatch the HTTPS payload to the stop endpoint.
5. Investigate Automatic Timeout Triggers
If the stop request is absent from both backend traces, review the session telemetry for automatic termination events:
Empty Channel State: Verify if all publishers and subscribers exited the channel, causing the recording slice to terminate.
Idle Timeout Exceeded: Check if the active recording engine reached the pre-configured idle timeout limit (
maxIdleTime) and automatically terminated the session container.
6. Implement Diagnostic Logging Enhancements
Advise the customer's development team to implement full-payload diagnostic logging capture on their application servers for all cloud recording transaction layers, guaranteeing future session traceability.
Prevention and Best Practice
To prevent tracking blind spots, application backend architects should implement systematic RESTful telemetry logging and alerting pipelines:
Payload Archival: Force the database to serialize and store the complete request URL, headers, request body, response body, HTTP status codes, and precise millisecond timestamps for every transaction loop (
acquire,start,query, andstop).Relational Key Binding: Ensure that the generated Session Identifier and Resource Identifier are utilized as primary indexing keys across all related transaction records to enable instant single-query audit capability.
Orphan Session Alerts: Implement server-side monitoring to track active recording instances. If a channel state indicates that all participants have exited but no active
stopAPI transaction has been logged within a safety-margin timeout, programmatically trigger an alert or a fallback termination routine.
References