Alert: Bilibili Replies API - High Errors, Low Success

by Alex Johnson 55 views

This article addresses a critical alert triggered by the UapiProSystem API monitoring for the get-social-bilibili-replies endpoint. The alert indicates a severe anomaly characterized by a high error rate and a low success rate. This issue requires immediate attention to ensure the stability and reliability of the API service.

Understanding the Issue

On December 4, 2025, at 11:28:51, the UapiProSystem detected a significant anomaly with the get-social-bilibili-replies API. The system flagged the issue with a severity score of 70.0/100, highlighting the urgency of the situation. The problem has persisted for 6.1 minutes, indicating a continuous degradation of service. The core issue revolves around two critical metrics:

  • Error Rate: The error rate has surged to a staggering 100.00%, far exceeding the Service Level Objective (SLO) of ≤5.00%. This means that every request to the API is currently failing, indicating a complete outage for this functionality.
  • Success Rate: Conversely, the success rate has plummeted to 0.00%, falling well below the SLO of ≥95.00%. This confirms that no requests are being processed successfully, further emphasizing the severity of the problem.

These metrics paint a clear picture of a critical failure within the get-social-bilibili-replies API. It's crucial to delve deeper into the potential causes to implement effective solutions.

Key Metric Analysis

To understand the scope of the problem, let's examine the key metrics in detail:

Metric Actual Value SLO Deviation Status
Error Rate 100.00% ≤5.00% +1900%
Success Rate 0.00% ≥95.00% -100%
P95 Latency 65.0ms ≤6.00s -99%
P99 Latency 65.0ms ≤7.00s -99%
Request Volume 1 - - -

The table clearly illustrates the drastic deviation from the established SLOs for error and success rates. The error rate is 1900% higher than the acceptable threshold, and the success rate is a complete failure. Interestingly, the P95 and P99 latency metrics are within the acceptable range, suggesting that the issue isn't related to slow response times but rather a fundamental failure in processing requests. The request volume is relatively low (1 request), which could indicate that the problem is preventing further requests from being processed.

The trend analysis reveals a rapid deterioration in performance. Over the past 6 minutes, the error rate has skyrocketed from 0.0% to 100.0%, indicating an escalating issue. While the P95 latency initially experienced a significant increase of 9243%, it's important to note that this might be a consequence of the error state rather than a direct cause. The overall situation is worsening, requiring immediate intervention.

API Details and Fingerprint

The affected API is get-social-bilibili-replies, categorized under "Social Platform." Its unique fingerprint is 2ed625eb71590c7f. For a comprehensive overview of the API's current status, refer to the UapiPro status page. This page provides real-time information on the health and performance of all UapiPro APIs.

Detailed Monitoring Data

For a deeper understanding of the issue, let's examine the detailed monitoring data:

Current Cycle Metrics

Metric Value
Error Rate 100.0000%
Success Rate 0.0000%
P50 Latency 65.0ms
P95 Latency 65.0ms
P99 Latency 65.0ms
Max Latency 65.0ms
Total Requests 1
Failed Requests 1
Throughput 15.17 RPS

This data reinforces the severity of the situation. The 100% error rate and 0% success rate are alarming. The throughput, while seemingly high at 15.17 requests per second (RPS), is likely misleading due to the failed requests. A deeper investigation is needed to understand the root cause of these failures.

Request Sample (for Troubleshooting)

The following is a sample request that triggered the error:

GET http://127.0.0.1:8092/api/v1/social/bilibili/replies?oid=1706416465&sort=1&ps=5&pn=1

null

The response status code was 500, indicating a server-side error. This suggests that the issue lies within the API's backend processing rather than a client-side problem. Analyzing server logs and debugging the code responsible for handling this request are crucial steps in resolving the issue.

Recent Detection Cycles

Examining the recent detection cycles provides a historical perspective on the issue:

Time Status Error Rate Success Rate P95 Requests
11:22:46 0.00% 100.00% 703.00µs 1
11:24:57 100.00% 0.00% 50.0ms 1
11:26:52 100.00% 0.00% 65.0ms 1
11:28:51 100.00% 0.00% 65.0ms 1

This data clearly shows the sudden and dramatic shift in API performance. The API was functioning correctly at 11:22:46, but within a few minutes, it completely failed. This rapid transition suggests a specific event or change triggered the issue. Identifying this trigger is paramount to preventing future occurrences.

SLO Configuration

Understanding the Service Level Objectives (SLOs) is crucial for assessing the severity of the problem:

Item Threshold
Max Error Rate 5.00%
Min Success Rate 95.00%
Max P95 6.00s
Max P99 7.00s

The SLOs define the acceptable performance boundaries for the API. The current error and success rates are significantly outside these boundaries, highlighting the urgency of the situation. The latency SLOs are currently being met, but this could change if the underlying issue isn't addressed promptly.

Potential Causes and Troubleshooting Steps

Based on the available data, here are some potential causes and troubleshooting steps to consider:

  1. Backend Service Failure: The 500 status code suggests a problem within the API's backend service. This could be due to a server crash, database connection issues, or a critical error in the application code. Action: Check server logs for error messages, verify database connectivity, and review recent code deployments.
  2. Dependency Issues: The API might be dependent on other services or resources that are currently unavailable or experiencing issues. Action: Examine dependencies, check the status of external services, and verify network connectivity.
  3. Code Bug: A recently introduced bug in the API's code could be causing the failures. Action: Review recent code changes, perform debugging, and consider rolling back to a previous version.
  4. Resource Exhaustion: The API server might be running out of resources such as memory or CPU, leading to failures. Action: Monitor resource utilization, identify potential bottlenecks, and scale resources if necessary.
  5. Rate Limiting: Although the request volume is low, an overly aggressive rate-limiting mechanism could be mistakenly blocking requests. Action: Review rate-limiting configurations and ensure they are not the cause of the issue.

Submitter Information

  • Category: System Alert
  • Language: zh-CN
  • Submission Time: 2025-12-04T03:28:51.278Z
  • Page Source: get-social-bilibili-replies
  • User Agent: uapipro-alert-system 1.0
  • Submitted Via: ticket_api

This information provides context about the alert's origin and helps in tracing the issue to its source.

Conclusion and Recommendations

The get-social-bilibili-replies API is currently experiencing a critical failure characterized by a 100% error rate and a 0% success rate. This issue demands immediate attention to restore service and prevent further disruptions. The troubleshooting steps outlined above should be followed systematically to identify the root cause and implement appropriate solutions. Continuous monitoring and proactive alerting are essential to ensure the long-term stability and reliability of the API.

For further information on API monitoring and best practices, consider exploring resources from trusted sources like SmartBear.