Hybrid Platform & DevOps Enablement

Service Overview

Most private cloud solutions on the market today—whether hyper-converged, vendor-engineered stacks, or homegrown virtualization environments—are essentially clusters of hypervisors, with orchestration layers added to automate some provisioning processes. For hyper-converged platforms, scale-out storage is common, and occasionally, software-defined networking is deployed.

Yet not all workloads are suitable for virtualization. Some are not x86-based, while others face licensing or hardware limitations, require real-time OS access, or demand more RAM than is practical in a hypervisor. Certain branch office and DMZ servers simply lack the scale to make virtualization cost-effective. Industry-wide, virtualization rates have plateaued at 50–60%, meaning 40–50% of server instances are still running bare-metal operating systems.

As more applications are born cloud-native, the real challenge becomes integrating new DevOps pipelines with legacy systems. This is where the true software-defined data center comes in—supporting both bare metal and virtualized environments, orchestrated for maximum automation.

arqitekta's architects have spent over a decade designing such hybrid environments, working directly with vendor product teams to shape roadmap priorities. Our knowledge is at your service, ensuring your platforms are ready for whatever comes next—cloud, DevOps, or the next wave of legacy.

---

The Hybrid Challenge

Why 100% Virtualization Fails

Technical Constraints

• Performance: Hypervisor overhead unacceptable
• Licensing: Per-core costs prohibitive when virtualized
• Hardware: Specialized devices, dongles, or interfaces
• Real-time: Deterministic response requirements

Economic Constraints

• Scale: Too small to justify virtualization
• Location: Branch offices with limited infrastructure
• Lifecycle: Legacy systems not worth virtualizing
• Compliance: Regulatory requirements for isolation

Organizational Constraints

• Skills: Teams trained on specific platforms
• Processes: Established procedures hard to change
• Politics: Departmental ownership boundaries
• Risk: Critical systems with change restrictions

The DevOps Integration Gap

Traditional infrastructure teams and modern DevOps often operate in silos:

• Different Tools: ServiceNow vs. GitLab
• Different Speeds: Weeks vs. minutes
• Different Languages: ITIL vs. CI/CD
• Different Metrics: Stability vs. velocity

---

Our Hybrid Platform Approach

Unified Control Plane

Single Glass of Pane Across All Infrastructure

1. Bare Metal Management

   • IPMI/Redfish integration
   • PXE boot automation
   • Firmware management
   • Hardware inventory

2. Virtualization Platforms

   • VMware vSphere
   • KVM/OpenStack
   • Hyper-V
   • Nutanix/SimpliVity

3. Container Orchestration

   • Kubernetes clusters
   • Docker Swarm
   • OpenShift
   • Rancher

4. Public Cloud

   • AWS integration
   • Azure Arc
   • Google Anthos
   • Multi-cloud management

Infrastructure as Code Everywhere

GitOps for Traditional and Modern Workloads

# Example: Unified workload definition
apiVersion: platform/v1
kind: Workload
metadata:
  name: legacy-database
spec:
  type: bare-metal
  os: rhel-7
  resources:
    cpu: 32
    memory: 256Gi
  storage:
    - type: local-ssd
      size: 2Ti
  networking:
    - vlan: 100
      ip: static
---
apiVersion: apps/v1
kind: Deployment
metadata:
  name: modern-api
spec:
  replicas: 3
  containers:
    - name: api
      image: myapp:latest

Automation Framework

End-to-End Lifecycle Management

1. Provisioning

   • Template-based deployment
   • Self-service portals
   • API-driven creation
   • Policy enforcement

2. Configuration

   • Ansible for everything
   • Puppet/Chef integration
   • Kubernetes operators
   • GitOps workflows

3. Monitoring

   • Unified observability
   • Metrics aggregation
   • Log centralization
   • Distributed tracing

4. Governance

   • RBAC across platforms
   • Cost allocation
   • Compliance reporting
   • Security scanning

---

DevOps Enablement Strategy

Phase 1: Foundation

Weeks 1-4: Build the Platform

1. Tool Consolidation

   • Inventory existing tools
   • Define target toolchain
   • Integration planning
   • Migration roadmap

2. Process Alignment

   • Map current workflows
   • Identify automation gaps
   • Design future state
   • Change management plan

3. Team Structure

   • Skills assessment
   • Training requirements
   • Organization design
   • RACI matrix

Phase 2: Integration

Weeks 5-8: Connect the Dots

1. CI/CD Pipeline

   • Source control setup
   • Build automation
   • Test integration
   • Deployment pipelines

2. Service Catalog

   • Standard offerings
   • Self-service portal
   • Approval workflows
   • Chargeback model

3. Security Integration

   • Shift-left security
   • Policy as code
   • Vulnerability scanning
   • Compliance automation

Phase 3: Optimization

Weeks 9-12: Drive Adoption

1. Performance Tuning

   • Pipeline optimization
   • Resource efficiency
   • Cost optimization
   • Quality metrics

2. Culture Change

   • DevOps training
   • Hackathons
   • Success stories
   • Community building

---

Technology Stack

Orchestration Layer

• HashiCorp Terraform: Infrastructure as Code
• Ansible: Configuration management
• Kubernetes: Container orchestration
• GitLab/GitHub: Version control & CI/CD

Management Tools

• Foreman/Satellite: Lifecycle management
• MAAS: Metal as a Service
• Ironic: OpenStack bare metal
• vRealize: VMware automation

Monitoring Stack

• Prometheus: Metrics collection
• Grafana: Visualization
• ELK Stack: Log management
• Jaeger: Distributed tracing

Security Tools

• Vault: Secrets management
• OPA: Policy engine
• Falco: Runtime security
• Twistlock/Aqua: Container security

---

Use Cases

Financial Services

Challenge: Legacy trading systems + modern APIs Solution: Unified platform with microsecond latency Result: 10x faster deployment, maintained performance

Healthcare

Challenge: FDA-validated systems + digital health apps Solution: Isolated zones with shared services Result: Compliance maintained, innovation enabled

Manufacturing

Challenge: SCADA systems + IIoT analytics Solution: Edge to cloud hybrid architecture Result: Real-time insights without disrupting operations

Retail

Challenge: POS systems + e-commerce platforms Solution: Branch to cloud orchestration Result: Unified inventory, improved customer experience

---

Benefits Realized

Operational Efficiency

• 70% faster: Infrastructure provisioning
• 50% reduction: Manual tickets
• 90% automation: Routine tasks
• 24x7 self-service: Developer access

Cost Optimization

• 30% lower: Infrastructure costs
• 40% better: Resource utilization
• 25% reduction: Operational overhead
• ROI: 6-12 months typical

Business Agility

• 10x faster: Application deployment
• Daily: Production releases possible
• Minutes: Infrastructure changes
• Instant: Rollback capability

Risk Reduction

• Automated: Compliance checking
• Immutable: Infrastructure patterns
• Versioned: All changes tracked
• Tested: Every deployment validated