Spend Analysis
Breaking the bill down to what is actually driving it, by service, environment and team — which is usually not where people assume.
Cloud Cost Optimization
Reduce unnecessary cloud expenditure without reducing capability.
Overview
Cloud spend grows quietly because nothing forces a review — an instance sized for a launch, an environment nobody switched off, storage retained by default. Nextherrion finds where the money is going, separates waste from necessary cost, and puts in the visibility that keeps it from creeping back once the exercise is over.
Spend analysis, right-sizing, commitment planning and the ongoing visibility that stops the savings eroding.
Right-Sizing
Matching resources to real usage rather than to the estimate made before anything ran, typically the single largest saving available.
Idle & Orphaned Resource Cleanup
Finding what nothing is using — detached volumes, dormant environments, forgotten snapshots — and retiring it safely.
WHAT WE DO
Cloud Cost Services We Offer
Commitment & Reservation Planning
Using reserved and committed pricing where the baseline genuinely justifies it, without locking in capacity you are about to stop needing.
Storage Tiering & Lifecycle
Moving data to appropriate storage classes and retiring what retention no longer requires, since storage accumulates by default.
Architecture Cost Review
The largest savings are usually architectural — the wrong service for the workload costs more than any amount of tuning recovers.
Cost Allocation & Showback
Attributing spend to the teams generating it, which changes behaviour more reliably than any centrally issued policy.
Budget Alerting
Alerts on anomalies and thresholds, so an unexpected increase is noticed in days rather than at the end of the billing month.
OUTCOMES
What Cost Work Changes
Most cloud waste is not extravagance — it is resources nobody has had a reason to look at since the day they were created.
- Resources matched to real usage
- Idle spend retired
- Commitments that fit the baseline
- Spend attributed to its owner
- Increases noticed in days
- Savings that hold over time
FAQ
Frequently Asked Questions
How much can we expect to save?
It varies widely with how long the estate has run unreviewed. Analysis gives a figure grounded in your own usage rather than a headline percentage.
Will this affect performance or reliability?
Not if done properly. Changes are staged and monitored, and right-sizing is based on observed peaks rather than averages.
Should we buy reserved capacity?
Only against a baseline you are confident will persist. Committing to capacity you are about to architect away is a common and expensive mistake.
Why does spend creep back?
Because optimization was a project rather than a practice. Allocation, alerting and a review cadence are what make savings durable.
Who should own cloud cost?
The teams that generate it, given visibility of what they spend. Central control without attribution tends to produce argument rather than savings.
Is this a one-off exercise?
The first pass is. Keeping it is ongoing, and light — mostly attribution, alerting and a periodic look at what has accumulated.
TECHNOLOGY
Built on Industry Leading Technology
AI and Generative AI, agent frameworks, cloud platforms, data tooling and modern application stacks — chosen per problem rather than per preference.
HOW WE DELIVER
Cost Optimization Process
- 01Spend & Usage Analysis
- 02Waste Identification
- 03Savings Prioritization
- 04Safe Implementation
- 05Commitment Planning
- 06Allocation & Visibility Setup
- 07Ongoing Review
Does anyone review your cloud bill line by line?
Start with a spend analysis. The first pass usually pays for itself.