CloudVectra Logo CloudVectra
Unified Cloud Automation

Cut compute and GPU waste safely.

Align AWS, Azure, dev, test, and GPU workloads with business hours. CloudVectra previews every action, applies policy- and tag-based targeting, and maintains audit logs so automation reduces waste without affecting production systems.

Business-hour schedules Dry-run previews Policy guardrails Audit-ready actions

Automation control plane

Schedule, preview, notify, audit

01

Business-hours schedule

Stop dev and GPU pools at 7:00 PM, restart before teams arrive.

Dry run

42 resources

3 restricted

Savings window

64 hrs/week

Non-prod idle time

Notify

Teams/Slack + Email

Audit

Every action

Scope

Tags + RBAC

Automation Challenges

One operating model for safe cloud automation

CloudVectra replaces scattered native consoles and brittle scripts with governed scheduling, previews, guardrails, RBAC, and audit-ready execution across AWS and Azure.

Unify

Disconnected automation tools

Challenge

Native AWS and Azure consoles require separate scripts, schedules, and operational checks for each cloud.

CloudVectra

One CloudVectra control plane automates compute across clouds, accounts, and regions with consistent policy enforcement.

Trace

Production disruption risk

Challenge

Teams hesitate to automate because broad native actions can hit the wrong resources or surprise production owners.

CloudVectra

Dry-run previews, tag policies, deny rules, and scoped scheduling show exactly what will happen before execution.

Explain

Limited automation transparency

Challenge

Native tooling leaves teams piecing together alerts, logs, and status across accounts after actions run.

CloudVectra

CloudVectra keeps event alerts, system logs, and audit trails together for every scoped automation action.

Optimize

Automation does not scale cleanly

Challenge

Manual scripts and cloud-specific jobs become fragile as accounts, subscriptions, teams, and environments grow.

CloudVectra

Bulk automation, RBAC, and policy-driven optimization scale scheduling across dev, test, and GPU workloads.

Key Capabilities

What you can do with Automation

Eliminate Idle Cloud Spend

One workflow for schedules and policies across AWS and Azure, automatically turning off idle resources during nights and weekends to reduce cloud spend by up to 50-80%.

Safe Dry-Run Simulations

Preview resources and actions before execution; approve or adjust scope with guardrails for confidence.

Enterprise Visibility & Audit

Per-action logs and notifications to Slack, Microsoft Teams, and email for compliance.

Business Hours Automation

Timezone-aware schedules aligned to team calendars; GPU and non-prod resources run only during actual usage windows.

Bulk Automation + RBAC

Control resources using accounts, subscriptions, regions, resource groups, and tags—while scaling securely across teams with role-based access..

Smart Notifications

Alerts via email/Slack/Teams before, during, after configured actions.

Proven Results

Measured impact teams can see

Automation outcomes built around repeatable savings, lower manual effort, and controlled execution.

50-80%

Idle compute savings from business-hour scheduling across dev, test, and GPU pools.

Always-on

Policies and schedules keep running without one-off scripts or single-owner maintenance.

Audit-ready

Dry runs, guardrails, alerts, and logs keep every scoped action visible and reviewable.

Case Studies

Real customer scenarios

Practical examples of how teams use CloudVectra to move from operational complexity to clearer decisions and measurable action.

Scenario

Automated GPU Runtime Optimization

Problem

AI/ML GPU instances were running beyond active training hours, leading to unnecessary compute cost.

CloudVectra

Business-hour scheduling and automated shutdown policies were applied with pre-run validation.

Impact

Reduced idle GPU runtime and achieved 75–80% cost savings.

Scenario

From Tribal Scripts to Governed Automation

Problem

Cost-saving scripts were owned by individual engineers, leading to inconsistent execution and breakages when ownership changed.

CloudVectra

Centralized automation with governed policies, bulk scheduling, and unified logging replaced ad-hoc scripts.

Impact

Reliable, maintainable automation with no single-person dependency.

Scenario

Multi-Cloud Cost Control Through Centralized Automation

Problem

Disconnected AWS and Azure environments led to fragmented cost-saving actions and inconsistent automation across accounts.

CloudVectra

Unified automation layer with RBAC, cross-cloud scheduling, and centralized audit logs enabled consistent policy execution.

Impact

Improved governance and measurable reduction in idle compute across clouds.

Get started

Ready to Save on Cloud Costs?

Automate non-prod and GPU schedules with guardrails, enforce RBAC, and keep a full audit trail across AWS and Azure.