Cloud Cost & Performance Optimisation
Workload profiling to eliminate over-provisioned resources and resolve application bottlenecks.
What this is
A systematic engineering audit of your compute sizing, storage allocation, database queries, and network egress to identify wasteful overhead and improve response latency.
How it works
- 1Telemetry collection across CPU, memory, IOPS, and network egress metrics.
- 2Identification of unattached storage volumes, idle instances, and memory leaks.
- 3Database query profiling and caching strategy evaluation.
- 4Implementation plan with prioritized adjustments.
What's included
| Metric Analysis | Multi-week resource utilization analysis |
| Audit Report | Actionable engineering and sizing recommendations |
| Query Profiling | Slow query log analysis and indexing guidance |
| Review Session | Direct technical briefing with a senior engineer |
Suitability assessment
✓ When this makes sense
- •Infrastructure expenses increasing without proportional business growth.
- •Applications suffering intermittent slowdowns during normal traffic hours.
- •Legacy environments where servers were provisioned years ago and never right-sized.
✕ When it doesn't
- •Very small static deployments with minimal resource footprint.
- •Environments that have completed an architectural right-sizing within the last 30 days.
Technical details & architecture deep-dive▾
Analysis of Linux kernel memory pressure metrics (PSI), disk queue depths, and TCP retransmission rates to distinguish hardware constraints from software inefficiencies.
Frequently asked questions
No. Metrics are collected non-intrusively via standard telemetry agents without impacting application traffic.