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Google Cloud Migration in Cloud Migration

Google Cloud Migration in Cloud Migration

$247.00
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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What does the Google Cloud Migration in Cloud Migration course cover?

Google Cloud Migration in Cloud Migration is covered here in 8 modules: Strategic Assessment and Readiness Evaluation, GCP Environment Design and Landing Zone Configuration, Application and Data Migration Planning and 5 more. The outline lists 48 specific topics, opening with conduct a workload categorization exercise to classify applications by migration suitability (rehost, refactor, rearchitect, retire, retain) based on technical debt and business.

How do you approach Google Cloud Migration in Cloud Migration step by step?

The work is sequenced in 8 stages. It starts with Strategic Assessment and Readiness Evaluation, moves through GCP Environment Design and Landing Zone Configuration and Application and Data Migration Planning, and ends at Optimization, Monitoring, and Continuous Improvement. Each stage carries its own topic list, so the sequence is followed rather than summarised.

What is in Module 1 of the Google Cloud Migration in Cloud Migration course?

Module 1 is Strategic Assessment and Readiness Evaluation. It works through 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.

How is the Google Cloud Migration in Cloud Migration course delivered?

The Google Cloud Migration in Cloud Migration course is fully self-paced with immediate online access after enrolment. Access does not expire and future updates are included at no cost. It can be taken on any device, and a certificate of completion is issued by The Art of Service when you finish.

How much does the Google Cloud Migration in Cloud Migration course cost?

The Google Cloud Migration in Cloud Migration course is $250 as a one time payment. There is no subscription, no per seat licence and no hidden fee. Enrolment carries a 30 day satisfied or refunded guarantee, so it can be assessed in full before you commit.

Closely related courses: Live Migration in Google Cloud Platform Dataset, Cloud Migration in Cloud Migration, AWS Migration in Cloud Migration, Migration Tooling in Cloud Migration.

More answers: what you get with every course, refund policy, all help answers.

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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