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Enterprise Operations, Disaster Recovery, and Resiliency

Enterprise Operations, Disaster Recovery, and Resiliency

This module describes the operational practices, resiliency patterns, and disaster recovery strategies that support the Enterprise Hybrid HCI Platform. It provides a structured approach for maintaining service availability across the Primary Data Center, Disaster Recovery Data Center, and Out of Region DR site.

The objective is to create a reliable, repeatable, and testable operational model that supports business continuity under normal, degraded, and disaster conditions.


Operational Architecture Overview

Operations span several core responsibilities:

  • Platform monitoring and observability
  • Configuration and change management
  • Backup and data protection
  • Vulnerability and patch management
  • Logging and security operations
  • Capacity planning and resource governance

These responsibilities apply consistently across all tiers, zones, and HCI blocks. Operational teams rely on centralized tools and processes to manage distributed infrastructure.


Operational Foundations

Configuration and Change Management

Operational consistency requires:

  • Standardized configuration templates for firewalls, switches, hypervisors, and platform software
  • Version controlled infrastructure as code for repeatable deployments
  • Approval workflows for changes that impact production
  • Automated checks before and after changes to detect drift or misconfiguration

Configuration drift is monitored continuously, and deviations are remediated promptly.


Backup and Data Protection

Backups serve as the last line of defense against data loss, corruption, or compromise.

Key practices:

  • Nightly backups of virtual machines, databases, and configuration data
  • Point in time recovery for Tier 1 and Tier 2 systems
  • Application aware backups for critical workloads
  • Encryption of all backup data at rest and in transit
  • Replication of backup datasets to the DR DC and Out of Region DR site

Testing of restores is mandatory. A backup is not considered valid until a restore has been verified.


Patch and Vulnerability Management

A structured patch management process ensures a secure baseline.

Core activities:

  • Monthly operating system and application patch cycles
  • Emergency patching for critical vulnerabilities
  • Regular vulnerability scans and remediation workflows
  • Integration with SIEM to correlate vulnerabilities with active threats
  • Baseline compliance checks for hardened configurations

Patches are tested in non production environments before production rollout when feasible.


Monitoring and Observability

Observability provides real time insight into platform health.

Monitoring includes:

  • Infrastructure metrics such as CPU, memory, storage, and network
  • Application performance metrics and synthetic checks
  • Log ingestion and correlation across all tiers
  • Network flow monitoring for east and west visibility
  • Automated alerting for threshold or anomaly events

Observability systems must be available across sites to ensure resiliency of monitoring functions during outages.


Resiliency Architecture

The resiliency model spans three data centers:

  • Primary DC
  • Disaster Recovery DC
  • Out of Region DR site

Each site has specific responsibilities and levels of readiness.


Resiliency Tiering Model

Applications and services are assigned to tiers based on business criticality.

Tier 1: Mission Critical

Requirements:

  • Minimal downtime
  • Minimal data loss
  • Synchronous or near synchronous replication
  • Automated failover

Examples:

  • Identity services
  • Critical line of business applications
  • Core databases

Tier 2: High Importance

Requirements:

  • Tolerates limited downtime
  • Near real time or scheduled replication
  • Manual or assisted failover

Examples:

  • Application middleware
  • Web portals
  • Moderate criticality databases

Tier 3: Standard Applications

Requirements:

  • Standard backup based recovery
  • Acceptable data loss within scheduled backup windows
  • Recovery based on restoration procedures

Examples:

  • Development environments
  • Support systems
  • Non critical internal applications

Tier assignments drive replication type, backup schedules, and failover priorities.


Failover and Recovery Models

Failover models vary by tier and workload type. The architecture supports several approaches.

Active Passive Failover (Most Common)

  • Primary DC hosts production workloads
  • DR DC maintains warm or hot standby systems
  • Failover initiated by automation or operator runbooks
  • Data replication ensures minimal RPO

Active Active Failover (Selective)

  • For workloads that support horizontal scaling
  • Both Primary and DR DC operate active nodes
  • Load balancing and session management determine traffic allocation

Out of Region DR

  • Asynchronous replication to geographically distant site
  • Minimal always on footprint
  • Recovery environment activated only during major events
  • DR documentation includes detailed provisioning and scaling steps

Failover Sequence

A standard failover scenario follows these steps:

  1. Detection of outage or degradation
  2. Confirmation of failure through monitoring and operational checks
  3. Activation of failover runbook for impacted workloads
  4. DNS or load balancer updates to direct traffic to DR DC
  5. Validation of identity services, application entry points, and database readiness
  6. Validation of restored services
  7. Documentation of failover details and lessons learned

The process is tested regularly to ensure reliability.


Disaster Recovery Processes

Formal DR processes provide a structured and auditable approach to recovery.

DR Runbooks

Each application and platform component has a detailed runbook including:

  • Failover steps
  • Fallback steps
  • Verification procedures
  • Contact escalation lists
  • Dependencies and upstream or downstream integrations

Runbooks are version controlled and updated after each DR exercise.


DR Testing and Exercises

Testing validates readiness and identifies improvements.

Types of testing:

Planned DR Tests

  • Controlled failover of selected applications
  • Scheduled in advance and communicated to stakeholders

Full Data Center Simulation

  • Simulates Primary DC outage
  • Activates DR DC for extended periods
  • Validates performance and capacity under load

Out of Region DR Simulation

  • Validates recovery from catastrophic regional failure
  • Tests asynchronous recovery and rapid provisioning

Tabletop Exercises

  • Operational and leadership walkthroughs
  • Review of procedures without impacting systems

Results of all tests feed continuous improvement cycles.


Multi Site Identity and Platform Operations

Identity, logging, monitoring, and VDI must remain functional throughout an outage.

Identity Services

Identity must be available during failover.

Practices:

  • Multi site domain controllers
  • Replicated identity provider nodes
  • DR ready PKI components
  • DNS services prepared for failover

Logging and SIEM

SIEM remains the central source of truth.

  • DR DC hosts secondary collectors
  • Out of Region site hosts limited log ingestion
  • Event forwarding continues across site boundaries

Monitoring

Monitoring systems must:

  • Detect failures at Primary DC
  • Continue collecting telemetry from DR and Out of Region sites
  • Alert operators during failover

Continuous Improvement

Operational maturity grows with iteration.

Key practices:

  • Post incident reviews
  • Improvement tracking
  • Automation of repeated operational tasks
  • Documentation updates
  • Regular validation of runbooks, backups, and access controls

Implementation Options

The following categories represent common tooling aligned to these patterns.

Backup and Recovery

  • Enterprise backup platforms with application aware capabilities
  • Replication systems integrated with HCI platforms
  • Cloud based archival for long term retention

Monitoring and Observability

  • Prometheus and Grafana
  • Zabbix
  • Enterprise APM tools
  • Synthetic monitoring systems

SIEM and Analytics

  • Splunk
  • Elastic Stack
  • Microsoft Sentinel

DR Automation

  • Runbook automation platforms
  • Infrastructure as code pipelines for rapid provisioning
  • DNS and load balancer systems that support automated failover

Summary

Resiliency and DR processes ensure the Enterprise Hybrid HCI Platform remains available under diverse conditions. By combining strong operational foundations, structured tiering models, and multi-site recovery strategies, the architecture delivers predictable and testable continuity for mission critical systems.