Review, continuously
Every subscription, resource group, and usage pattern is reviewed on an ongoing basis. When a new resource group appears or usage shifts, it is visible that day.
Technology / Microsoft Azure
Azure spend rarely grows in a straight line. Zolix continuously reviews your subscriptions, resource groups, and usage patterns, so the answer to “why is this costing what it costs?” is always available.
24h
First view
Full
Coverage
0
Downtime
Read-only IAM roles
Multi-subscription visibility
No setup downtime
What teams see after connecting
24 hours
to a first cost visibility report across every subscription in a connected tenant.
Full-stack
coverage across compute, storage, networking, and Azure AI services.
Zero downtime
during setup, because the connection model remains read-only.
Earlier wins
from idle resources and coverage gaps flagged before they become annual cleanups.
Managing Azure spend is not a one-time cleanup. Teams add subscriptions, resource groups, and services faster than manual reviews can track; Zolix is designed to keep pace.
Every subscription, resource group, and usage pattern is reviewed on an ongoing basis. When a new resource group appears or usage shifts, it is visible that day.
Move beyond generic cost alerts. See the resource group, VM size, storage account, and the precise impact behind a change in spend.
Findings are ranked by potential savings and effort required, so limited team bandwidth goes to the changes that matter most.
Track whether expected savings materialized after a rightsizing or cleanup action, rather than assuming a recommendation worked.
Purpose-built capabilities
Compare compute coverage against actual usage by subscription, so gaps are visible before the next billing cycle.
Map cost to resource groups and tags, giving each team lead a clear view of their slice of tenant spend.
Continuously surface unattached managed disks, idle VMs, and underused App Service plans as they happen.
Check whether existing Windows Server and SQL Server licenses are being applied where they can reduce Azure compute costs.
Keep Azure OpenAI and Azure Machine Learning token and inference costs distinct from general compute spend.
How the engagement works
From secure discovery to ongoing validation, every stage keeps your environment in your control.
01
Connect through read-only IAM roles and map subscriptions, management groups, resource groups, and resources. Nothing is changed.
02
Compare daily, weekly, and seasonal usage to distinguish sustained demand from spikes that do not justify permanent capacity.
03
Start with idle VMs and unattached disks, then rightsizing opportunities and longer-term consolidation work.
04
Give teams the resource, the recommended change, and the expected saving—without handing over control.
No. Zolix connects through read-only IAM roles. No agents are deployed inside your environment.
Yes. AI workload spend is tracked separately from general compute, so token and inference costs have their own clear line of visibility.
Yes. Coverage is compared against actual usage patterns, with specific recommendations on where additional coverage could reduce cost.
Most teams receive a first cost visibility report within 24 hours of connecting, followed by prioritized recommendations as patterns are analyzed.
Yes. Cost across connected subscriptions and management groups is consolidated into a single dashboard.
No. Recommendations are detailed enough for your team to apply directly. Zolix remains read-only throughout.
Connect a single subscription for an initial scan, or bring in your full tenant for continuous visibility—no agents, no write access, and no disruption.