Introduction
Solace's PubSub+ Event Broker, a critical component in event-driven architectures, has experienced a concerning 20% drop in message throughput over the past month. This decline in performance could significantly impact the reliability and efficiency of systems relying on this event broker. To address this issue, I'll employ a systematic approach to identify, validate, and resolve the root cause while considering both immediate and long-term implications.
Framework overview
This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.
Step 1
Clarifying Questions (3 minutes)
Why it matters: Recent changes could directly impact performance. Expected answer: Yes, there was a minor update to the broker's configuration. Impact on approach: If confirmed, we'd focus on the update's impact and potential rollback.
Why it matters: Unusual load patterns could explain the performance dip. Expected answer: No significant changes in overall volume, but some shifts in peak times. Impact on approach: We'd investigate how these shifts might be affecting the broker's performance.
Why it matters: Changes in message characteristics could impact processing efficiency. Expected answer: Some increase in message size for certain types of events. Impact on approach: We'd analyze how these larger messages are affecting the system's performance.
Why it matters: Client-side issues could be contributing to or masking the real problem. Expected answer: No major changes reported, but some clients have noted slower processing. Impact on approach: We'd investigate both broker and client-side performance metrics.
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