Google Cloud Services in Dubai & UAE

Deploy and manage the core infrastructure your workloads run on.

Move suitable workloads to Google Cloud with a structured, assessed approach.

Right-sized compute for VMs and containerized workloads alike.

Storage and backup architecture designed around retention and recovery needs.

Database services matched to application and availability requirements.

Identity, network and data security across the environment.

Visibility into performance, health and activity across your environment.

Keeping cloud spend aligned with actual resource usage and business value.

Traditional and web-based applications running on Google Cloud infrastructure.

Core compute and data workloads.

Storage for documents, backups and application data.

Environments for building and validating applications.

Applications designed to run natively in the cloud.

Containerized applications managed at scale.

Processing and analyzing business data.

Infrastructure for AI-enabled applications and model development.

Understanding what you run today.

The core systems that need a home in the cloud.

How everything connects today and after migration.

Who needs access, and how it should be protected.

How much downtime the business can tolerate.

How operations continue through disruption.

What needs to move, and how.

How the environment will be run and paid for.

Support for both major operating system families.

Common production workload types.

Backend infrastructure for business systems.

Non-production environments for building and testing.

Matching infrastructure to actual workload needs.

Planning for resilience from the start.

A managed Kubernetes environment for containerized applications, covering cluster architecture, networking, access control, workload security, monitoring and scaling.

A managed platform for suitable containerized applications — web applications, APIs, microservices and event-driven workloads — without managing the underlying server infrastructure.

Google Cloud environments can be designed around appropriate database services based on application dependencies, performance, availability, backup and recovery requirements.

Support for collecting, processing and analyzing large volumes of data, including data warehouses, business intelligence and reporting environments.

Infrastructure and services for AI workloads, model development and AI-enabled applications, introduced according to a defined business use case and data requirements.

Combining on-premises infrastructure with Google Cloud through VPN connectivity, identity integration, data transfer and workload placement — allowing businesses to gradually adopt cloud services rather than moving everything at once.

Operating across Google Cloud, Azure, AWS and on-premises infrastructure requires additional attention to identity, network connectivity, security, monitoring, cost management and governance.

Ongoing operational management covering VM health, resource usage, storage, network performance, security alerts, backup status and application availability.

Reviewing VM sizing, resource utilization, storage, idle resources and usage patterns to identify optimization opportunities, aligned with business value.

Establish cloud infrastructure, business applications, secure access, networking, storage, backup, monitoring, security and cost controls that can expand over time.

Structured governance across multiple projects, teams, applications, production and development environments, hybrid infrastructure and multiple cloud platforms, with defined ownership, access and compliance requirements.

We can help plan the architecture, identity, networking, security, workloads, monitoring and operational model before deployment.

CODE3 can review architecture, security, IAM, network configuration, workload performance, resource utilization, backup, monitoring, costs and recovery readiness.