With cloud-native rising, the conversation of infrastructure costs seeped from R&D Directors to every person in the R&D:
- “How does much a VM cost?”
- “can we use that managed services? How much will it cost us with our workload??”
- “I need a stronger machine with more GPU, how do we make it happen within the budget?”
When deciding on a big data/data lake strategy for a product, one of the main chapters is cost management.
On top of the budget for hiring technical people, we need to prepare a strategy for services and infrastructure costs. That includes the provider we want to work with, the different tiers plan they have, the system needs, the R&D needs, and each service’s pros and cons.
