Cost and Performance Optimization
Cut Azure spend and speed up SQL workloads — with governance that keeps savings from drifting back after the engagement ends.
Where this fits best
Use this route when Azure costs are unpredictable or SQL performance is slowing critical operations
This solution is for finance and operations leaders who need to bring cloud spend under control and speed up data workloads — without gambling on availability in the process. We implement and govern, not just recommend.
The challenge
Cloud bills grow faster than usage and no one can explain why
Problem
The problem
Cloud and database costs rise quickly when governance and performance are weak. Finance can't track spend, engineering can't explain it, and SQL workloads silently degrade until an incident forces the issue.
- xAzure invoices that no one can explain by service or owner
- xOverprovisioned VMs and databases, orphan resources after projects end
- xSlow queries, blocking and deadlocks impacting users and critical reports
- xNo tagging, budgets or dashboards that finance can trust
- xDR and backup patterns driving silent cost creep
Solution
The solution
We combine cost governance with SQL performance engineering so savings don't drift back. We tune where it hurts most and set up tagging, budgets and ownership policies that both finance and engineering can operate.
Outcome
- +Azure subscription audit: tagging, reservations, rightsizing and waste signals
- +Compute, storage and SQL rightsizing with automated drift prevention
- +Reservation and savings plan strategy with clear ROI
- +Query tuning, index optimization and scheduling for heavy workloads
- +Cost, performance and availability dashboards and alerts
- +Governance model: ownership, budgets, policies and reporting cadence
Key benefits
What you gain
Concrete outcomes teams see after working with Eximus.
20–40% Azure cost reduction
Typical range for engagements that address provisioning, reservations and governance together. We measure before and after so the savings are documented.
Finance-ready reporting
Dashboards and budget alerts that finance can understand and act on — not just technical dashboards that only engineering reads.
Faster reports and closings
SQL tuning directly reduces time-to-close for monthly reporting, BI refreshes and critical API latency. Fewer queries blocking each other means fewer delays.
Savings that persist
Governance guardrails prevent cost from drifting back after the engagement ends. The savings are structural, not just a one-time cleanup.
Reduced incident risk
Eliminating SQL blocking and deadlocks reduces the incidents that wake people up at 2am — and the downstream delays in reporting and operations.
Ownership clarity
Every resource has an owner, a tag and a budget. Audits and budget reviews become fast instead of a manual hunt.
How we work
Our approach
Controlled delivery with senior engineers who know your stack.
Cost and performance assessment
We audit Azure spend patterns and SQL workload health to identify the biggest savings and performance opportunities.
Prioritised optimisation plan
We present a ranked list of actions by impact and risk, with estimated savings for each.
Implementation and governance handoff
We execute in controlled batches, measure impact and hand off governance tooling your team can operate.
Proof points
Measured outcomes
0%
Typical Azure cost reduction
Range observed across cost optimisation engagements addressing provisioning, reservations and governance
0%
Average SQL query time improvement
For targeted tuning engagements focused on high-impact queries and blocking patterns
<0 weeks
Time to first savings
Quick wins identified and implemented fast — reflected in the next billing cycle
0%
Resources with ownership tags
Target state after governance implementation — every resource has an owner, tag and budget
Operating context
What this means in practice
Cloud and database costs rise quickly when governance and performance are weak. This solution is for CIOs, CTOs and digital transformation leaders who need to cut Azure spend and speed up SQL workloads without risking availability.
When this solution is a good fit
- The Azure bill keeps growing and teams disagree on the numbers.
- Critical reports or APIs are slow and incidents point to SQL performance.
- There is no consistent tagging or budgeting process finance can rely on.
- Upcoming growth or migrations require predictable cost and performance.
- You want sustainable savings, not one-off cuts that drift back in six months.
Our operating model
We combine FinOps discipline with hands-on SQL and Azure engineering. We don't just produce recommendations — we implement, measure and set up the governance that prevents cost from drifting back. The engagement has a clear end; the savings and the governance do not.
Related services
Execute this solution with specialist teams
FAQ
Common questions
Next step
See the upside fast
We start with a focused assessment to identify the biggest savings and performance wins — then execute in small batches with clear metrics and rollback checkpoints.