Cloud to cloud—Lift & shift—GCP to Azure
Cloud migration—cloud to cloud—Lift & shift—GCP to Azure
Cloud migration—cloud to cloud—Lift & shift—GCP to Azure
Cloud migration—cloud to cloud—Lift & shift—GCP to Azure
On our tech exploration journey, we discovered an innovator rooted in a thriving metropolis, a beacon of forward-thinking and adaptability in the tech realm. Their location, pulsating with life and dynamism, seemed symbolic of their approach: always moving, always evolving.
On our tech exploration journey, we discovered an innovator rooted in a thriving metropolis, a beacon of forward-thinking and adaptability in the tech realm. Their location, pulsating with life and dynamism, seemed symbolic of their approach: always moving, always evolving.
On our tech exploration journey, we discovered an innovator rooted in a thriving metropolis, a beacon of forward-thinking and adaptability in the tech realm. Their location, pulsating with life and dynamism, seemed symbolic of their approach: always moving, always evolving.
Cloud
Google Cloud
Azure
Cloud to cloud—Lift & shift—GCP to Azure
Cloud to cloud—Lift & shift—GCP to Azure
Cloud to cloud—Lift & shift—GCP to Azure
Problem overview
Problem overview
Problem overview
This company wasn't merely riding the waves of innovation; they were making deliberate strides, evident in their strategic cloud decisions. Their commitment extended beyond enhancing performance and reliability. It was about cultivating development efficiency and, crucially, fortifying their digital foundation.
The company's philosophy resonated with us. It wasn’t just about adapting to technological changes but leading the charge, perpetually exploring and innovating. Their interest in varied database strategies during migration revealed their relentless drive for growth and distinction.
This company wasn't merely riding the waves of innovation; they were making deliberate strides, evident in their strategic cloud decisions. Their commitment extended beyond enhancing performance and reliability. It was about cultivating development efficiency and, crucially, fortifying their digital foundation.
The company's philosophy resonated with us. It wasn’t just about adapting to technological changes but leading the charge, perpetually exploring and innovating. Their interest in varied database strategies during migration revealed their relentless drive for growth and distinction.
This company wasn't merely riding the waves of innovation; they were making deliberate strides, evident in their strategic cloud decisions. Their commitment extended beyond enhancing performance and reliability. It was about cultivating development efficiency and, crucially, fortifying their digital foundation.
The company's philosophy resonated with us. It wasn’t just about adapting to technological changes but leading the charge, perpetually exploring and innovating. Their interest in varied database strategies during migration revealed their relentless drive for growth and distinction.
Migration objective
Migration objective
Migration objective
Developed a phased approach to cost optimization, aligning with business goals and timelines. The action plan included:
Developed a phased approach to cost optimization, aligning with business goals and timelines. The action plan included:
The company aims to improve performance, reliability, and development efficiency by migrating its core application from Google Cloud Platform (GCP) to Microsoft Azure. They plan to adopt a lift-and-shift approach with automation along the way, including database migration. The company also wants to explore different database approaches during the migration process.
The company aims to improve performance, reliability, and development efficiency by migrating its core application from Google Cloud Platform (GCP) to Microsoft Azure. They plan to adopt a lift-and-shift approach with automation along the way, including database migration. The company also wants to explore different database approaches during the migration process.
The company aims to improve performance, reliability, and development efficiency by migrating its core application from Google Cloud Platform (GCP) to Microsoft Azure. They plan to adopt a lift-and-shift approach with automation along the way, including database migration. The company also wants to explore different database approaches during the migration process.
Migration objectives include:
• Migrating the core application from GCP to Azure using a lift and shift approach to minimize downtime and complexity.
• Utilizing automation tools and scripts to streamline the migration process and ensure a seamless transition.
• Evaluating different database migration approaches to find the most suitable option for each database.
Migration objectives include:
• Migrating the core application from GCP to Azure using a lift and shift approach to minimize downtime and complexity.
• Utilizing automation tools and scripts to streamline the migration process and ensure a seamless transition.
• Evaluating different database migration approaches to find the most suitable option for each database.
Migration strategy
Migration strategy
Migration strategy
Infrastructure assessment and provisioning:
• Conduct a detailed assessment of the existing infrastructure on GCP, including virtual machines, storage accounts, networking components, and security groups.
• Set up the Azure environment, creating virtual networks, storage accounts, and other necessary resources to align with the GCP setup.
• Utilize Infrastructure-as-Code (IaC) tools like Terraform or Azure Resource Manager (ARM) templates to automate resource deployment.
Data migration:
• Choose the appropriate database migration approach based on each database's size and complexity.
• For smaller databases, opt for lift-an-shift migration, transferring the entire database schema and data to Azure.
• For larger databases, set up replication between GCP and Azure databases to keep data synchronized during migration.
• Ensure data consistency and integrity throughout the migration process.
Application migration:
• Package the core application and its dependencies for deployment on Azure.
• Utilize automation scripts to streamline the deployment process and ensure compatibility with Azure services.
• Conduct thorough testing and
Infrastructure assessment and provisioning:
• Conduct a detailed assessment of the existing infrastructure on GCP, including virtual machines, storage accounts, networking components, and security groups.
• Set up the Azure environment, creating virtual networks, storage accounts, and other necessary resources to align with the GCP setup.
• Utilize Infrastructure-as-Code (IaC) tools like Terraform or Azure Resource Manager (ARM) templates to automate resource deployment.
Data migration:
• Choose the appropriate database migration approach based on each database's size and complexity.
• For smaller databases, opt for lift-an-shift migration, transferring the entire database schema and data to Azure.
• For larger databases, set up replication between GCP and Azure databases to keep data synchronized during migration.
• Ensure data consistency and integrity throughout the migration process.
Application migration:
• Package the core application and its dependencies for deployment on Azure.
• Utilize automation scripts to streamline the deployment process and ensure compatibility with Azure services.
• Conduct thorough testing and
Infrastructure assessment and provisioning:
• Conduct a detailed assessment of the existing infrastructure on GCP, including virtual machines, storage accounts, networking components, and security groups.
• Set up the Azure environment, creating virtual networks, storage accounts, and other necessary resources to align with the GCP setup.
• Utilize Infrastructure-as-Code (IaC) tools like Terraform or Azure Resource Manager (ARM) templates to automate resource deployment.
Data migration:
• Choose the appropriate database migration approach based on each database's size and complexity.
• For smaller databases, opt for lift-an-shift migration, transferring the entire database schema and data to Azure.
• For larger databases, set up replication between GCP and Azure databases to keep data synchronized during migration.
• Ensure data consistency and integrity throughout the migration process.
Application migration:
• Package the core application and its dependencies for deployment on Azure.
• Utilize automation scripts to streamline the deployment process and ensure compatibility with Azure services.
• Conduct thorough testing and
Results we delivered
Results we delivered
Results we delivered
Lift-and-shift migration
Lift-and-shift migration
Lift-and-shift migration
Reduced downtime during migration due to the lift-and-shift approach, minimizing disruptions to end-users and business operations.
Reduced downtime during migration due to the lift-and-shift approach, minimizing disruptions to end-users and business operations.
Reduced downtime during migration due to the lift-and-shift approach, minimizing disruptions to end-users and business operations.
Automated deployment
Automated deployment
Automated deployment
Streamlined migration process with automation, resulting in faster and error-free resource provisioning on Azure.
Streamlined migration process with automation, resulting in faster and error-free resource provisioning on Azure.
Streamlined migration process with automation, resulting in faster and error-free resource provisioning on Azure.
Database migration
Database migration
Database migration
Successful migration of databases using suitable approaches, ensuring data consistency and preserving database integrity (setting up replication between GCP and Azure databases).
Successful migration of databases using suitable approaches, ensuring data consistency and preserving database integrity (setting up replication between GCP and Azure databases).
Successful migration of databases using suitable approaches, ensuring data consistency and preserving database integrity (setting up replication between GCP and Azure databases).
Lift-and-shift approach
The lift-and-shift strategy facilitated a smoother migration process with minimal downtime and complexity, enabling a seamless transition from GCP to Azure.
Automation benefits
Automation benefits
Automation benefits
Leveraging automation tools and scripts simplified resource provisioning and deployment, contributing to a more efficient migration experience.
Leveraging automation tools and scripts simplified resource provisioning and deployment, contributing to a more efficient migration experience.
Leveraging automation tools and scripts simplified resource provisioning and deployment, contributing to a more efficient migration experience.
Executive summary
Executive summary
Executive summary
Industry
Industry
Technology Accessories and Innovation
Technology Accessories and Innovation
Technology Accessories and Innovation
Partnership Duration
Partnership Duration
14 months
14 months
14 months
Architecture
Architecture
Migrating core application from Google Cloud Platform (GCP) to Microsoft Azure
Migrating core application from Google Cloud Platform (GCP) to Microsoft Azure
Migrating core application from Google Cloud Platform (GCP) to Microsoft Azure
Platforms
Platforms
Web, Windows, Mac
Web, Windows, Mac
Web, Windows, Mac
Team Structure
Team Structure
Cloud Architect, Database Architect, DevSecOps engineer, Client and Backend Developers, Full Stack, AQA engineers, BA, Data Engineer, Security Engineer, Network Engineer, Analytics Specialist, Cloud Cost Analyst, Release Manager
Cloud Architect, Database Architect, DevSecOps engineer, Client and Backend Developers, Full Stack, AQA engineers, BA, Data Engineer, Security Engineer, Network Engineer, Analytics Specialist, Cloud Cost Analyst, Release Manager
Cloud Architect, Database Architect, DevSecOps engineer, Client and Backend Developers, Full Stack, AQA engineers, BA, Data Engineer, Security Engineer, Network Engineer, Analytics Specialist, Cloud Cost Analyst, Release Manager
Tech Stack
Tech Stack
Cloud Provider: Amazon Web Services (AWS)
Development Languages (for microservices): JavaScript(Node.js), Python, ReactJS, Golang, Redis, MongoDB, TypeScript
Automated Deployment: CI/CD pipeline for seamless and efficient deployment
Cloud Security: Encryption at rest, network access controls, IAM policies for ensuring data protection, and access control
Disaster Recovery: AWS automated backup, redundant data storage, and failover mechanisms for enhanced disaster recovery capabilities
Infrastructure as Code (IaC) Tools: Terraform and Ansible for automating the provisioning and configuration of cloud resources and managing the infrastructure in a repeatable and consistent manner
Cloud Provider: Google Cloud Platform (GCP) and Microsoft Azure
Development Languages: JavaScript (Node.js), Python, Java, Go (Golang), Ruby, C# (.NET Core)
DevOps: CI/CD pipelines, Jenkins/GitLab CI, automated testing
Infrastructure as Code (IaC) Tools: Terraform or Azure Resource Manager (ARM) templates
Cloud Provider: Amazon Web Services (AWS)
Development Languages (for microservices): JavaScript(Node.js), Python, ReactJS, Golang, Redis, MongoDB, TypeScript
Automated Deployment: CI/CD pipeline for seamless and efficient deployment
Cloud Security: Encryption at rest, network access controls, IAM policies for ensuring data protection, and access control
Disaster Recovery: AWS automated backup, redundant data storage, and failover mechanisms for enhanced disaster recovery capabilities
Infrastructure as Code (IaC) Tools: Terraform and Ansible for automating the provisioning and configuration of cloud resources and managing the infrastructure in a repeatable and consistent manner
Conclusion
Conclusion
Conclusion
Migration from GCP to Azure successfully achieved our partner's objectives of improving performance, reliability, and development efficiency. The lift-and-shift approach, combined with automation, resulted in reduced downtime and streamlined resource provisioning.
Moreover, the careful consideration of database migration approaches ensured data integrity and consistency throughout the migration process. By migrating to Azure, the company is well-positioned to leverage the platform's capabilities, enhancing its core application's performance and enabling future growth and innovation.
Migration from GCP to Azure successfully achieved our partner's objectives of improving performance, reliability, and development efficiency. The lift-and-shift approach, combined with automation, resulted in reduced downtime and streamlined resource provisioning.
Moreover, the careful consideration of database migration approaches ensured data integrity and consistency throughout the migration process. By migrating to Azure, the company is well-positioned to leverage the platform's capabilities, enhancing its core application's performance and enabling future growth and innovation.
Migration from GCP to Azure successfully achieved our partner's objectives of improving performance, reliability, and development efficiency. The lift-and-shift approach, combined with automation, resulted in reduced downtime and streamlined resource provisioning.
Moreover, the careful consideration of database migration approaches ensured data integrity and consistency throughout the migration process. By migrating to Azure, the company is well-positioned to leverage the platform's capabilities, enhancing its core application's performance and enabling future growth and innovation.
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