What is hyperconverged infrastructure?
How it works: hyperconverged infrastructure architecture
Hyperconverged infrastructure components
- Compute: Virtualized servers provide processing power, with each node contributing CPU and memory to a shared pool for dynamic allocation.
- Storage: Software-defined storage aggregates local disks across nodes into a resilient pool, eliminating the need for dedicated storage arrays and supporting features like deduplication, compression, and automated replication.
- Networking: Virtualized networking connects compute and storage resources, supporting smooth data flow, high availability, and optimized performance without relying on dedicated hardware appliances.
- Management layer: The centralized console orchestrates, monitors, and automates all resources. IT teams can deploy virtual machines, configure storage and network policies, and track system performance from a single interface.
Why it matters: benefits & use cases
Benefits of hyperconverged infrastructure
- Simplified management: Unified interfaces allow IT teams to monitor, configure, and orchestrate resources from one console, reducing complexity.
- Faster deployment and upgrades: Pre-integrated nodes deploy quickly, and software-driven updates can be applied without downtime.
- Reduced hardware footprint and operational costs: Consolidation lowers capital expenditure and reduces energy and cooling requirements.
- Improved scalability and performance: Nodes can be added incrementally, and dynamic resource allocation provides optimal workload performance.
Hyperconverged infrastructure use cases
- Virtual Desktop Infrastructure (VDI): Scalable virtual desktops for remote or distributed teams.
- Remote Office/Branch Office (ROBO) Setups: Simplified, resilient infrastructure for smaller or geographically dispersed locations.
- Disaster Recovery Solutions: Supports business continuity with rapid recovery of data and applications.
- Hybrid Cloud Deployments: Integrates on-premises infrastructure with public or private clouds, enabling flexible workloads.
Comparisons: hyperconverged vs traditional & converged infrastructure
|
Feature
|
Traditional Infrastructure
|
Converged Infrastructure
|
Hyperconverged Infrastructure
|
|---|---|---|---|
|
Integration |
Compute, storage, and networking are managed separately. |
Some components are pre-integrated but still partially separate. |
All components are fully integrated into one system. |
|
Management |
Requires multiple management tools for different components. |
Some centralization exists, but separate tools may still be needed. |
Managed through a single, unified console. |
|
Scalability |
Scaling is complex and requires manual configuration. |
Moderate scaling; limited by hardware design. |
Highly modular and can scale linearly by adding nodes. |
|
Deployment Speed |
Deployment takes longer due to manual setup and integration. |
Deployment is faster than traditional but still moderate. |
Rapid deployment with pre-integrated software-defined nodes. |
|
Operational Complexity |
High IT teams must manage multiple silos and processes. |
Medium; partially simplified but still requires oversight. |
Low centralized management reduces complexity. |
|
Cost Efficiency |
High capital and operational costs. |
Moderate cost savings through partial integration. |
High cost efficiency with reduced hardware and overhead. |
Decision-making: hyperconverged infrastructure vendors & suitability
Hyperconverged infrastructure vendors
- Nutanix Acropolis: Software-defined platform with advanced automation and centralized management. Streamlines enterprise IT operations.
- VMware vSAN: Integrates tightly with VMware environments, delivering efficient compute and storage management.
- Dell EMC VxRail: Pre-configured appliances for rapid deployment and simplified lifecycle management.
- Cisco HyperFlex: High-performance computing with integrated networking, ideal for hybrid cloud deployments.
- Microsoft Azure Stack HCI: Bridges on-premises infrastructure with Azure cloud services, supporting flexible workloads and scalable growth.