9 lines
8.1 KiB
Plaintext
9 lines
8.1 KiB
Plaintext
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{"ticket_id": "TRAIN-00035", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"Review the 504 errors in the API gateway access logs to identify the upstream service causing delays. Test the identified upstream service directly to confirm the issue. If the upstream service is also experiencing delays, investigate potential database query regressions or DB query timeouts. Increase the timeout settings for the affected service if necessary. Otherwise, check for any thread pool exhaustion issues in the upstream service.\", \"cited_artifacts\": [\"KB-00018\"], \"confidence\": 0.8, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 0.6, "resolution": "Review the 504 errors in the API gateway access logs to identify the upstream service causing delays. Test the identified upstream service directly to confirm the issue. If the upstream service is also experiencing delays, investigate potential database query regressions or DB query timeouts. Increase the timeout settings for the affected service if necessary. Otherwise, check for any thread pool exhaustion issues in the upstream service.", "cited_artifacts": ["KB-00018"], "confidence": 0.8, "escalate": false, "step": 4}
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{"ticket_id": "TRAIN-00035", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"Check Prometheus/Grafana metrics for 504 errors, investigate Redis memory pressure, and confirm there are no network issues affecting the API gateway. Review the Kubernetes events and logs for pods in CrashLoopBackOff state to identify any immediate root causes.\", \"cited_artifacts\": [\"KB-00018\"], \"confidence\": 0.8, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 0.6, "resolution": "Check Prometheus/Grafana metrics for 504 errors, investigate Redis memory pressure, and confirm there are no network issues affecting the API gateway. Review the Kubernetes events and logs for pods in CrashLoopBackOff state to identify any immediate root causes.", "cited_artifacts": ["KB-00018"], "confidence": 0.8, "escalate": false, "step": 4}
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{"ticket_id": "TRAIN-00035", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"Check the Redis memory usage and eviction policy. If the memory pressure is high, increase the Redis memory limit or reduce the cache size. If eviction is happening, ensure no keys are without TTL and consider adding a TTL for session keys. Review the application logs for any memory leaks or inefficiencies.\", \"cited_artifacts\": [\"KB-00019\"], \"confidence\": 0.8, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 0.6, "resolution": "Check the Redis memory usage and eviction policy. If the memory pressure is high, increase the Redis memory limit or reduce the cache size. If eviction is happening, ensure no keys are without TTL and consider adding a TTL for session keys. Review the application logs for any memory leaks or inefficiencies.", "cited_artifacts": ["KB-00019"], "confidence": 0.8, "escalate": false, "step": 4}
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{"ticket_id": "TRAIN-00035", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"Examine the Redis eviction and key expiry issues as described in KB-00019. Check the eviction policy and memory pressure. Identify and address any keys without TTL. Additionally, ensure no TTL is set on session keys in cases of Spring Session with Redis. Scale up Redis memory if necessary and trigger Redis to perform a cleanup to reduce the count of keys with no expiry.\", \"cited_artifacts\": [\"KB-00019\"], \"confidence\": 0.8, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 0.6, "resolution": "Examine the Redis eviction and key expiry issues as described in KB-00019. Check the eviction policy and memory pressure. Identify and address any keys without TTL. Additionally, ensure no TTL is set on session keys in cases of Spring Session with Redis. Scale up Redis memory if necessary and trigger Redis to perform a cleanup to reduce the count of keys with no expiry.", "cited_artifacts": ["KB-00019"], "confidence": 0.8, "escalate": false, "step": 4}
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{"ticket_id": "TRAIN-00035", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"Identify the slow upstream causing the 504 Gateway Timeout. Use API gateway access logs to filter for 504s and test the upstream directly with `curl`. If the upstream service is the issue, investigate and address the specific causes listed in KB-00018, such as DB query regression, downstream dependency slow, or thread pool exhaustion.\", \"cited_artifacts\": [\"KB-00018\"], \"confidence\": 0.8, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 0.6, "resolution": "Identify the slow upstream causing the 504 Gateway Timeout. Use API gateway access logs to filter for 504s and test the upstream directly with `curl`. If the upstream service is the issue, investigate and address the specific causes listed in KB-00018, such as DB query regression, downstream dependency slow, or thread pool exhaustion.", "cited_artifacts": ["KB-00018"], "confidence": 0.8, "escalate": false, "step": 4}
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{"ticket_id": "TRAIN-00035", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"Check Prometheus/Grafana for connection pool exhaustion in the API Gateway. If found, confirm it by monitoring `hikaricp_connections_active` and `hikaricp_connections_pending` metrics. Investigate long-running queries and unclosed resources in application thread dumps. Restart the API Gateway service to flush the connection pool and monitor that connections are no longer being held by idle or unclosed resources.\", \"cited_artifacts\": [\"KB-00016\"], \"confidence\": 0.8, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 0.6, "resolution": "Check Prometheus/Grafana for connection pool exhaustion in the API Gateway. If found, confirm it by monitoring `hikaricp_connections_active` and `hikaricp_connections_pending` metrics. Investigate long-running queries and unclosed resources in application thread dumps. Restart the API Gateway service to flush the connection pool and monitor that connections are no longer being held by idle or unclosed resources.", "cited_artifacts": ["KB-00016"], "confidence": 0.8, "escalate": false, "step": 4}
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{"ticket_id": "TRAIN-00035", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"Investigate the Redis eviction and key expiry issues. Check the eviction policy and memory pressure in Redis. Ensure no keys without TTL are causing memory issues. Verify the Redis configuration and adjust the eviction policy if necessary. Restart Redis to apply changes.\", \"cited_artifacts\": [\"KB-00019\"], \"confidence\": 0.8, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 0.6, "resolution": "Investigate the Redis eviction and key expiry issues. Check the eviction policy and memory pressure in Redis. Ensure no keys without TTL are causing memory issues. Verify the Redis configuration and adjust the eviction policy if necessary. Restart Redis to apply changes.", "cited_artifacts": ["KB-00019"], "confidence": 0.8, "escalate": false, "step": 4}
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{"ticket_id": "TRAIN-00035", "completion": "```json\n{\"tool_name\": \"submit_resolution\", \"arguments\": {\"resolution\": \"Identify the slow upstream service by checking API gateway access logs and bypassing the gateway to test the upstream directly. If the upstream service is responding slowly, troubleshoot its configuration and performance. If the issue persists, consider increasing the timeout settings for the API gateway or the upstream service.\", \"cited_artifacts\": [\"KB-00018\"], \"confidence\": 0.8, \"escalate\": false}}\n```", "parsed": true, "r_parsimony": 0.6, "resolution": "Identify the slow upstream service by checking API gateway access logs and bypassing the gateway to test the upstream directly. If the upstream service is responding slowly, troubleshoot its configuration and performance. If the issue persists, consider increasing the timeout settings for the API gateway or the upstream service.", "cited_artifacts": ["KB-00018"], "confidence": 0.8, "escalate": false, "step": 4}
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