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Product Management Root Cause Analysis Question: Investigating Solace PubSub+ Event Broker performance decline
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Nextsprints

Updated Jan 22, 2025

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Asked at Solace

15 mins

Why has Solace's PubSub+ Event Broker seen a 20% drop in message throughput over the past month?

Technical Analysis Problem-Solving Data Interpretation Enterprise Software Cloud Computing Financial Services
Performance Optimization Root Cause Analysis Messaging Systems Event-Driven Architecture

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)

  • Looking at the timing, I'm thinking there might be a correlation with recent system changes. Have there been any updates or modifications to the PubSub+ Event Broker or related systems in the past 1-2 months?

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.

  • Considering the scale of the throughput drop, I'm wondering about the load patterns. Has there been any significant change in the volume or pattern of messages being processed?

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.

  • Given the nature of event brokers, I'm curious about the types of messages being processed. Has there been any change in the message complexity or size in the affected period?

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.

  • Thinking about the broader ecosystem, I'm wondering about client applications. Have there been any changes or issues reported with the applications consuming messages from the broker?

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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