Performance & Cost Optimization
The platform got slow and the bill got big. We find out why, fix it, and show the numbers before and after.
Tuning is detective work: query plans, cache behavior, storage classes, conversion pipelines, and infrastructure sizing. We've cut media conversion workloads dramatically and moved storage to intelligent tiering the native way. Every engagement ends with measurements, not impressions.
Your challenges
What brings teams to us
Search got slow, then slower
Growth turned queries that were fine at ten million documents into timeouts at a hundred million.
The storage bill compounds
Renditions, versions, and thumbnails multiply storage forever if nobody sets policy.
Nobody measured a baseline
Performance complaints stay anecdotes because no one instrumented the platform.
Our approach
How we work
Measure first
Instrument the platform and establish the baseline before changing anything.
Fix the expensive things
Query tuning, cache strategy, conversion offloading, and storage tiering, ordered by payback.
Prove the delta
Before-and-after numbers on latency, throughput, and monthly cost.
Deliverables
What you walk away with
- Performance audit with an instrumented baseline
- Query, cache, and conversion pipeline tuning
- Storage tiering and cost policy implementation
- Before-and-after report on latency and spend
Explore the technical guidance
Need help with Performance & Cost Optimization?
Tell us what you're struggling with, and we'll tell you how we can help you.
Talk to us