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Google Cloud Migration in Cloud Migration

Google Cloud Migration in Cloud Migration

$249.00
How you learn:
Self-paced • Lifetime updates
When you get access:
Course access is prepared after purchase and delivered via email
Toolkit Included:
Includes a practical, ready-to-use toolkit containing implementation templates, worksheets, checklists, and decision-support materials used to accelerate real-world application and reduce setup time.
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This curriculum spans the equivalent of a multi-phase cloud migration program, covering the technical, governance, and operational workflows performed during enterprise-scale migrations to Google Cloud, from initial assessment and landing zone design to live cutover, security hardening, and production optimization.

Module 1: Strategic Assessment and Readiness Evaluation

  • Conduct a workload categorization exercise to classify applications by migration suitability (rehost, refactor, rearchitect, retire, retain) based on technical debt and business criticality.
  • Perform a TCO analysis comparing on-premises operational costs with projected Google Cloud Platform (GCP) spend, including data egress, network, and sustained use discounts.
  • Define migration scope by aligning application portfolios with business unit ownership and securing stakeholder sign-off on migration priorities.
  • Evaluate existing security and compliance frameworks against GCP’s shared responsibility model to identify control ownership gaps.
  • Assess network topology constraints, including hybrid connectivity requirements and DNS dependencies, to determine interconnect or Carrier Peering needs.
  • Establish a cloud center of excellence (CCoE) governance model with cross-functional representation from infrastructure, security, and application teams.

Module 2: GCP Environment Design and Landing Zone Configuration

  • Implement a hierarchical resource organization using GCP folders and projects to align with enterprise IT cost centers and operational domains.
  • Configure Identity and Access Management (IAM) policies with least-privilege principles, integrating with existing SAML or Cloud Identity for centralized user management.
  • Deploy a foundational landing zone using Terraform or Deployment Manager to automate VPCs, Shared VPC attachments, and firewall rule baselines.
  • Define and enforce organizational policies (e.g., disallowing external IPs, enforcing tags) using GCP Organization Policies and Policy Intelligence.
  • Integrate Cloud Audit Logs with SIEM platforms (e.g., Splunk, Chronicle) for real-time monitoring of configuration changes and access events.
  • Design multi-region DNS and Cloud Load Balancing strategies to support global application availability and failover requirements.

Module 3: Application and Data Migration Planning

  • Select migration tools (e.g., Migrate for Compute Engine, Database Migration Service, Transfer Service) based on source platform, data size, and downtime tolerance.
  • Develop cutover plans for stateful applications, including pre-migration snapshots, DNS TTL adjustments, and rollback procedures.
  • Conduct schema compatibility assessments when migrating Oracle or SQL Server databases to Cloud SQL or AlloyDB.
  • Plan data transfer methods for large datasets (e.g., using Transfer Appliance for offline migration when bandwidth is constrained).
  • Coordinate application dependency mapping with network teams to ensure connectivity between migrated and on-premises components during hybrid phases.
  • Define data consistency and validation checkpoints during replication phases to verify integrity before cutover.

Module 4: Execution of Compute and Storage Migrations

  • Execute lift-and-shift migrations using Migrate for Compute Engine, converting VMware VMs to Compute Engine instances with minimal configuration changes.
  • Configure persistent disk types (SSD vs. HDD) and regional vs. zonal placement based on application IOPS and availability requirements.
  • Implement custom startup scripts and cloud-init configurations to automate post-migration application initialization.
  • Reconfigure storage mount points and file system permissions to align with Linux or Windows instances in GCP.
  • Validate VM performance post-migration using Cloud Monitoring and diagnose bottlenecks related to CPU, memory, or disk.
  • Optimize VM sizing using Machine Series recommendations and rightsizing reports from the Migrate dashboard.

Module 5: Database and Data Service Migration

  • Configure Database Migration Service jobs for continuous replication from on-premises MySQL or PostgreSQL to Cloud SQL with minimal downtime.
  • Migrate Oracle workloads to AlloyDB with compatibility mode, adjusting JDBC connection strings and validating PL/pgSQL logic.
  • Implement change data capture (CDC) using Striim or Datastream for real-time replication to BigQuery or Cloud Spanner.
  • Design backup and point-in-time recovery (PITR) strategies for Cloud SQL instances aligned with RPO and RTO objectives.
  • Partition and compress large datasets during transfer to BigQuery to reduce load times and query costs.
  • Enforce encryption at rest and in transit for database instances, integrating with Cloud KMS for key management.

Module 6: Networking and Hybrid Connectivity Implementation

  • Deploy Cloud Interconnect (Dedicated or Partner) to establish high-throughput, low-latency connections between on-premises and GCP.
  • Configure Cloud Router and BGP peering to advertise on-premises routes into VPC networks and enable dynamic routing.
  • Implement VPC Service Controls to mitigate data exfiltration risks across multi-project environments.
  • Set up DNS forwarding rules using Cloud DNS to resolve on-premises domain names from GCP workloads.
  • Design hybrid service mesh using Anthos Service Mesh for secure communication between on-premises and cloud services.
  • Validate network performance using Packet Mirroring and VPC Flow Logs to troubleshoot latency or packet loss.

Module 7: Security, Compliance, and Operational Governance

  • Integrate Security Command Center with vulnerability scanners and asset inventory tools to detect misconfigurations and exposed services.
  • Apply VPC firewall rules with granular ingress and egress controls, avoiding over-permissive 0.0.0.0/0 rules.
  • Enforce data classification policies using DLP API scans on Cloud Storage buckets and BigQuery datasets.
  • Implement workload identity federation to grant AWS or on-premises workloads access to GCP resources without service account keys.
  • Define incident response procedures for compromised instances, including automated quarantine via Eventarc and Cloud Functions.
  • Conduct regular audit reviews of IAM policy changes and access logs to detect privilege creep or unauthorized access.

Module 8: Optimization, Monitoring, and Continuous Improvement

  • Use Recommender and Cost Management tools to identify underutilized VMs, commit to sustained use discounts, and implement preemptible instances for batch workloads.
  • Configure Cloud Monitoring dashboards and alerts for critical metrics (CPU, memory, disk I/O) with notification channels to PagerDuty or Slack.
  • Implement log-based metrics to track application-specific KPIs, such as HTTP 5xx error rates or database query latency.
  • Establish backup and disaster recovery runbooks using Cloud Storage lifecycle policies and cross-region replication.
  • Conduct post-migration performance benchmarking to validate SLA adherence and identify tuning opportunities.
  • Rotate service account keys and audit key usage patterns to minimize long-term credential exposure risks.
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