Introduction
The recent 30% increase in failed message deliveries for Tanla's Wisely CPaaS solution is a critical issue that demands immediate attention. This analysis will systematically investigate the root cause, considering both technical and non-technical factors that could have contributed to this significant performance drop. We'll follow a structured approach to identify, validate, and address the underlying issues while keeping in mind both short-term fixes and long-term strategic implications.
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 often correlate with performance issues. Expected answer: Yes, there was a minor update to the message routing algorithm. Impact on approach: If confirmed, we'd focus on the new algorithm's performance and potential rollback options.
Why it matters: Helps narrow down if it's a global issue or specific to certain user groups or message types. Expected answer: The increase is more pronounced for enterprise customers sending bulk messages. Impact on approach: We'd prioritize investigating enterprise-specific configurations and bulk message handling.
Why it matters: External dependencies can significantly impact message delivery success. Expected answer: No major carrier issues reported, but there's been an increase in traffic from a new large customer. Impact on approach: We'd examine how the system handles increased load and if there are any capacity issues.
Why it matters: Ensures we're dealing with a real issue and not a measurement error. Expected answer: No changes to measurement systems, but there was a brief outage in one of the logging servers. Impact on approach: We'd need to validate the data integrity and potentially adjust our analysis to account for any missing logs.
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