Virtual machines
Compute — Cloud
Cloud virtual machines deliver elastic, on-demand compute — the flexible foundation for migrating, scaling and running enterprise workloads in the cloud.
Technologies available for this scope
What organizations face today
- Right-sizing — matching instance types to real workload needs
- Cost control — avoiding over-provisioning and idle spend
- Migration complexity — lift-and-shift vs re-architecture
- Performance tuning — CPU, memory and storage optimization
- Governance — tagging, policies and lifecycle management
Future Challenges
Autoscaling everywhere
Compute that scales automatically with demand.
Spot & FinOps
Cost-optimized compute as a discipline.
AI-driven right-sizing
Instances tuned automatically to workloads.
Immutable infrastructure
VMs provisioned as code, never patched in place.
Confidential computing
Encrypted-in-use workloads as standard.
A Virtuous Cycle of Services
Services define the WHAT — the desired action according to the service type. They follow a virtuous cycle aligned with your Virtual machines initiatives.
Define
Knowledge Transfer- Deliverable
We define a Virtual machines skills development plan covering automation, security and observability.
Teach
Knowledge Transfer- Videos recorded session
- Deliverable
We deliver technical Virtual machines sessions tailored to your teams' level and objectives.
Validate
Knowledge Transfer- Deliverable
We validate Virtual machines knowledge through practical exercises and real-world scenarios.
Evaluate
Knowledge Transfer- Deliverable
We evaluate Virtual machines skills and identify improvement areas for continuous progression.
Mentor
Knowledge Transfer- Deliverable
We provide Virtual machines technical mentoring for troubleshooting, design and optimization.
Inform
Knowledge Transfer- Webinar
- Deliverable
We keep you informed about Virtual machines trends, best practices and emerging technologies.
AI & Automation
AI and automation enhance every aspect of your Virtual machines scope: detection, analysis, configuration, remediation, prediction and optimization.
- Right-sizing recommendations
- Cost anomaly detection
- Automated scaling
- Performance optimization