Cloud Migration
Move your applications, data, databases, and workloads to Google Cloud with a migration approach that considers your existing environment and business requirements.

Move your business to Google Cloud with a solution that is right for your technology and business requirements. From cloud migration and infrastructure to data, analytics, and AI, LST Consultancy can help you build, manage, and evolve your Google Cloud environment as your business grows.
Talk to our Google Cloud ExpertGoogle Cloud provides businesses with the tools to run applications, manage data, build digital solutions, and work with technologies such as analytics and artificial intelligence (AI).
At LST Consultancy, we begin by understanding your existing environment and business requirements, helping us determine the right Google Cloud services for your business and supporting your migration, implementation, modernization, and day-to-day management.

Move your applications, data, databases, and workloads to Google Cloud with a migration approach that considers your existing environment and business requirements.
Create a cloud environment that can scale to meet changing workloads, applications, and business requirements without unnecessary complexity.
Aggregate your business data, gain more value from it, and build a cloud environment around analytics, AI, and machine learning.
LST Consultancy delivers Google Cloud solutions tailored to your business needs, helping you build, migrate, and scale with confidence.


Migrating to the cloud is more than just moving workloads. We will plan the migration around your applications, data, dependencies, infrastructure, and business priorities.

Set up and manage the core components of your Google Cloud environment, including compute, storage, networking, databases, and identity.

Give your existing applications a more modern foundation using containers, managed services, serverless options, and other cloud technologies where they make sense.

Bring more automation into development and deployment with CI/CD, infrastructure automation, application deployment, testing, and monitoring.

Need help starting? We can review your environment, understand your needs, plan your cloud strategy, and recommend Google Cloud services for your business.

Aggregate your business data for storage, processing, reporting, analytics, and business intelligence using Google Cloud data services.

Prepare your cloud environment for AI and machine learning applications with the Google Cloud technologies that suit your project requirements.

Secure your cloud environment with the right approach to identity, access, security configuration, monitoring, and governance.

Enable regular monitoring, troubleshooting, optimization, resource management, and technical support to keep your cloud environment running smoothly.

Run containerized applications on Google Kubernetes Engine and manage the cloud environment that supports them. Build and scale with confidence.

Run virtual machines on Google Cloud to host applications, manage workloads, and scale computing resources according to business requirements.

Deploy, manage, and scale containerized applications using Google Kubernetes Engine, simplifying Kubernetes operations across cloud environments.

Deploy and run containerized applications on a fully managed platform that automatically scales based on incoming requests and workload demand.

Store and manage files, documents, backups, and application data securely with scalable cloud object storage.

Simplify database management with a fully managed relational database service supporting MySQL, PostgreSQL, and SQL Server.

Develop backup and recovery strategies to help protect business data, minimize downtime, and restore critical systems following disruptions.

Analyze large datasets using a scalable, serverless data analytics platform to generate insights and support data-driven business decisions.

Transform business data into actionable insights using Google Cloud analytics tools, data processing solutions, and reporting capabilities.

Build and integrate AI and machine learning solutions to automate processes, analyze data, generate predictions, and support intelligent applications.

Connect and manage cloud resources through Virtual Private Cloud networking, including network segmentation, routing, and access controls.

Distribute application traffic across multiple backend resources to improve availability, performance, and application responsiveness.

Manage user identities, roles, and permissions to control access to Google Cloud resources according to organizational security requirements.

Track application performance, resource utilization, and infrastructure health using metrics, dashboards, alerts, and monitoring tools.

Collect, store, search, and analyze application and infrastructure logs to troubleshoot issues and support operational visibility.

Streamline software development and deployment through CI/CD pipelines, infrastructure automation, container orchestration, and continuous monitoring.

If your applications or infrastructure are running on-premises or another cloud platform, suitable workloads can be migrated to Google Cloud with a planned approach.

Older applications do not always need to be rebuilt. Depending on the application, you can use containers, managed services, serverless technologies, or other cloud-native options.

As users, applications, and workloads change, your cloud environment can be scaled to manage these varying requirements.

Store, organize, process, and analyze your business data using Google Cloud storage, database, and analytics services.

Create a cloud foundation that can support AI, machine learning, analytics, and applications that interact with business data.

Keep track of your applications, cloud resources, performance, and usage so your team can identify issues and make improvements.
Migrating to Google Cloud is not just a simple case of moving servers or applications from one cloud to another. Your applications, data, integrations, dependencies, infrastructure, and business priorities all need to be considered.
At LST Consultancy, we begin by understanding your current environment. From there, we can support you in planning the migration, determining the approach, implementing the migration, and making modernization improvements where appropriate.
Review your current infrastructure, applications, workloads, data, dependencies, and cloud requirements.
Determine the target Google Cloud environment, migration approach, architecture, priorities, and implementation plan.
Migrate workloads and data to the planned Google Cloud environment with appropriate testing and validation.
Make improvements to applications or infrastructure where appropriate using suitable Google Cloud services and cloud-native technologies.
Review performance, resource usage, security, and day-to-day operations of the cloud to look for areas of improvement.

We begin with your business goals, existing infrastructure, and technology requirements to determine what your Google Cloud environment should be.
Whether you are looking to start your journey or improve an existing environment, we can support you at different stages of the process.
We look at your existing environment first, then plan the migration, test workloads, implement the changes, and validate the results.
Your cloud environment will need to work with your applications and data. We take this into account, rather than treating these areas as separate pieces.
Identity, access, security configuration, monitoring, and governance are considered as part of the cloud setup.
Your cloud environment will need attention long after the implementation has been made. We can support you with monitoring, troubleshooting, resource management, optimization, and technical improvements.

Understand your infrastructure, applications, workloads, data, dependencies, and business requirements.

Determine the required Google Cloud services, architecture, migration approach, priorities, and implementation roadmap.

Plan the compute, storage, networking, databases, identity, security, and application environment around your requirements.

Migrate the required workloads and set up the Google Cloud services according to the agreed plan.

Test applications, data, integrations, security, performance, and other important requirements before proceeding.

Monitor the environment after implementation and make improvements based on performance, usage, security, and operational requirements.
Find answers to common questions about Google Cloud Services.
Can't find the information you're looking for? Talk to our team about your specific requirements.
Google Cloud provides businesses with the tools to run applications, manage data, build digital solutions, and work with technologies such as analytics and artificial intelligence. It covers compute, storage, databases, networking, security, data analytics, and AI and machine learning services.
Yes. We begin by understanding your current environment, then plan the migration around your applications, data, dependencies, infrastructure, and business priorities. We migrate workloads and data with appropriate testing and validation, and make modernization improvements where appropriate.
Google Kubernetes Engine is Google Cloud's managed Kubernetes service. It lets you deploy, manage, and scale containerized applications while simplifying Kubernetes operations. We can run your containerized applications on GKE and manage the cloud environment that supports them.
Yes. We bring more automation into development and deployment with CI/CD pipelines, infrastructure automation, application deployment, testing, and monitoring on Google Cloud.
Explore our DevOps servicesOur Google Cloud services cover migration, infrastructure, application modernization, DevOps, consulting, data and analytics, AI and machine learning, security, managed services, and Google Kubernetes Engine (GKE).
Explore all our cloud solutionsYes. Workloads can be migrated from on-premises, AWS, Azure, or other supported environments to Google Cloud. The right approach depends on what you are migrating, how your applications are integrated and connected, and the requirements of the environment itself.
Azure consulting and migration servicesYes. Services such as BigQuery and Google Cloud's analytics and AI tools let you store, process, analyze, and report on business data, and build AI and machine learning solutions on top of it. We help you create a cloud foundation that supports these workloads.
Yes. Your cloud environment needs attention long after implementation. We can support you with monitoring, troubleshooting, resource management, optimization, and technical improvements to keep it running smoothly.
Whether you are migrating to the cloud, modernizing existing applications, or creating a new cloud environment, LST Consultancy can help you plan and manage your Google Cloud journey based on your actual business requirements.