Category: blog
Infrastructure
Assessment
Objectives
Inventory of current IT assets is completed
Physical servers are identified
Virtual machines are documented
Database instances are listed
Storage volumes are measured
Application dependencies are mapped
Internal software requirements are noted
Third-party integrations are logged
Legacy systems are evaluated for compatibility
Cloud-readiness scores are assigned to each workload
Business goals are defined
Cost reduction targets are set
Scalability requirements are established
Performance benchmarks are recorded
Uptime expectations are documented
Compliance needs are identified
HIPAA
PCI-DSS
GDPR
Stakeholders are consulted
IT decision-makers provide input
Budget constraints are finalized
Model Selection
Provider Research
Architectural Choice
Public cloud options are evaluated
Shared infrastructure is considered for cost efficiency
AWS
Microsoft Azure
Google Cloud Platform
Private cloud environments are reviewed
Dedicated hardware is assessed for security requirements
On-premises extensions are considered
Hybrid cloud models are analyzed
Balance between local control and cloud flexibility is sought
Data residency requirements are met
Service Level Agreements (SLAs) are scrutinized
Uptime guarantees are verified
Support response times are checked
Exit strategies are formulated
Identity management capabilities are assessed
Multi-factor authentication (MFA) support is verified
Role-based access control (RBAC) features are tested
Networking configurations are planned
Virtual Private Clouds (VPC) are designed
Subnet structures are drafted
IP addressing schemes are determined
Strategic Planning
Resource Allocation
Risk Mitigation
Timelines are established
Migration windows are scheduled
Phased approach is adopted
Wave-based strategy is implemented
Phase 1: Low-risk applications
Phase 2: Non-critical databases
Phase 3: Core production systems
Phase 4: Highly sensitive data
Resource gaps are identified
Internal staff training is planned
External expertise is secured
X-Tek provides technical oversight
Migration strategies are assigned per workload
Rehosting (Lift and shift) for speed
Replatforming for optimization
Refactoring for cloud-native features
Repurchasing (SaaS transition)
Retiring obsolete systems
Rollback paths are created
Failure scenarios are simulated
Data backup is verified prior to execution
Interim synchronization methods are selected
Execution
Security Protocols
Data Integrity
Encryption is applied to data at rest
AES-256 standards are enforced
Key management systems are configured
Encryption is applied to data in transit
SSL/TLS certificates are updated
Secure tunnels are established
VPN connections are monitored
Migration tools are deployed
Automated transfer scripts are verified
Bandwidth throttling is managed to prevent outages
Network latency is monitored during transfer
Verification steps are performed
Checksums are validated
Record counts are matched
Data integrity is confirmed
Cutover procedures are initiated
DNS records are updated
Traffic is redirected to cloud instances
Legacy systems are placed in read-only mode
Monitoring and Remediation
Ongoing security audits are conducted
Intrusion detection systems are active
Log files are aggregated and reviewed
Optimization
Continuous Monitoring
Scaling
Performance metrics are tracked
CPU utilization is monitored
Memory allocation is adjusted
Disk I/O is measured
Environment is right-sized
Over-provisioned instances are reduced
Under-performing resources are upgraded
Auto-scaling groups are configured
Cost management is active
Billing alerts are set
Unused resources are terminated
Reserved instances are evaluated for savings
Regular updates are scheduled
Security patches are applied
Firmware is maintained
API versions are monitored
Security posture is reassessed quarterly
Penetration testing is conducted
Vulnerability scans are performed
Access logs are audited
Business continuity plans are tested
Disaster recovery site is synced
Recovery Time Objectives (RTO) are verified
Recovery Point Objectives (RPO) are maintained
Optimization is an iterative process
Feedback loops are established
System performance is aligned with business growth
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