CLOUD ENGINEERING & OPTIMIZATION
DataLux identifies where architecture, workload behavior and operating practice no longer match demand—then targets changes inside the platform you already run.
Review the cloud footprint ↗FOLLOW THE COST DRIVERS
Illustrative diagnostic view, not a client result.
WHERE TO LOOK FIRST
Match compute and scaling behavior to actual demand instead of historical assumptions.
Examine retention, tiers, duplication and data-transfer patterns that quietly compound.
Identify expensive coupling, service patterns and operational workarounds worth changing.
Make ownership, attribution and recurring review part of the operating model so savings persist.
SELECTED EXPERIENCE
Our engineers contributed to cloud-cost optimization work for a large US media and entertainment company on AWS and a global audio-streaming platform on GCP.
The commercial question is not simply “can this resource be cheaper?” It is “what can change without undermining the service, delivery pace or operating constraints?”
AWS · MEDIA
Practical cost work inside a large existing media environment.
GCP · STREAMING
Optimization work in a global streaming environment where performance and scale remain first-class constraints.
FINOPS WITH ENGINEERING DEPTH
A useful recommendation names the workload, the architectural consequence, the owner and the change required. We connect cost analysis to implementation rather than stopping at a savings spreadsheet.
START WITH THE INITIATIVE
Bring us the objective, constraints and current environment. We can help define a credible first scope and determine whether DataLux is the right team to deliver it.