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.
Automation control plane
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
CloudVectra replaces scattered native consoles and brittle scripts with governed scheduling, previews, guardrails, RBAC, and audit-ready execution across AWS and Azure.
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.
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.
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.
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
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%.
Idle spend automation
Preview resources and actions before execution; approve or adjust scope with guardrails for confidence.
Per-action logs and notifications to Slack, Microsoft Teams, and email for compliance.
Timezone-aware schedules aligned to team calendars; GPU and non-prod resources run only during actual usage windows.
Control resources using accounts, subscriptions, regions, resource groups, and tags—while scaling securely across teams with role-based access..
Alerts via email/Slack/Teams before, during, after configured actions.
Proven Results
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
Practical examples of how teams use CloudVectra to move from operational complexity to clearer decisions and measurable action.
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.
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.
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
Automate non-prod and GPU schedules with guardrails, enforce RBAC, and keep a full audit trail across AWS and Azure.
