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Raw AI Transcript

(0:01) Thank you for taking the time to speak with us today, we’re currently conducting a deep dive into the sas scalability of the platform specifically (0:05) regarding the API integration (0:08) with legacy ERP systems like SAP S4 Hana and Oracle. (0:10) Could you walk us through the current latency issues you’ve identified during the due diligence phase. (0:18) Yes, absolutely. Currently the primary bottleneck is in the asynchronous data calls, while the front end remains relatively responsive, (0:25) the sequel database at the back end isn’t optimized for the current transaction volume we see (0:28) during peak South African business hours, specifically when the batch processing kicks in for mid-market clients (0:30) we’re seeing a latency pike of about 200 milliseconds. (0:33) It’s a system down scenario, but it’s enough to degrade the user experience significantly. (0:36) Interesting. If we were to pivot to a microservices architecture to handle the load (0:40) how would that impact your burn rate over the next fiscal quarter. (0:43) We’re trying to model the evita impact for the post acquisition integration. (0:45)

Polished Human Transcript

JOHN SMITH: Thank you for taking the time to speak with us today. We’re currently conducting a deep dive into the SaaS scalability of the platform, specifically regarding the API integration with legacy ERP systems like SAP S/4HANA and Oracle.

Could you walk us through the current latency issues you’ve identified during the due diligence phase?

JOE BROWN: Yes, absolutely. Currently, the primary bottleneck is in the asynchronous data calls. While the front end remains relatively responsive, the SQL database at the back end isn’t optimized for the current transaction volume we’re seeing.

During peak South African business hours, specifically when the batch processing kicks in for mid-market clients, we’re seeing a latency spike of about 200 milliseconds. It’s not a system-down scenario, but it’s enough to degrade the user experience significantly.

JOHN SMITH: That’s interesting. If you were to pivot to a microservices architecture to handle that load, how would that impact your burn rate over the next fiscal quarter? We’re trying to model the EBITDA impact for the post-acquisition integration.

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