Choose the right cloud platform
Evaluate AWS, Azure, and GCP based on your application stack, enterprise systems, data workloads, AI needs, team experience, and budget.
Your business may need AWS, Azure, or Google Cloud services when existing infrastructure cannot support growth, applications require modernization, cloud costs are difficult to manage, or your team needs specialist expertise to design and operate cloud environments.
Cloud platform services are useful when your organization needs secure infrastructure, managed services, scalable applications, automated deployment, data platforms, or AI capabilities.

Businesses invest in cloud platform services to improve scalability, reliability, security, deployment speed, and access to modern application, data, and AI capabilities. Each cloud provider offers different strengths, service ecosystems, integration options, and operating models. The right architecture depends on the applications and business outcomes the environment needs to support.
Evaluate AWS, Azure, and GCP based on your application stack, enterprise systems, data workloads, AI needs, team experience, and budget.
Replace manual server management with automated, cloud-native, containerized, serverless, or managed services.
Use load balancing, auto-scaling, distributed architecture, managed databases, and resilient cloud services.
Implement identity management, network isolation, encryption, secrets management, policies, logging, and security monitoring.
Combine cloud infrastructure with infrastructure as code, CI/CD, containers, monitoring, and automated deployment.
Track usage, right-size resources, optimize storage and compute, and align infrastructure spending with workload requirements.
Grayphite provides cloud engineering capabilities across architecture, migration, security, automation, modernization, and ongoing platform operations.

Compare AWS, Azure, and GCP based on application, data, AI, compliance, operations, performance, and cost requirements.

Design accounts, subscriptions, projects, environments, networks, compute, storage, databases, security, availability, and traffic flows.

Move applications, workloads, databases, files, and services from legacy infrastructure, private hosting, or another cloud provider.

Modernize applications with containers, serverless services, managed databases, APIs, microservices, and cloud-native architecture.

Provision and manage cloud resources using automated, reusable, version-controlled infrastructure definitions.

Configure users, roles, policies, service identities, SSO, permissions, and least-privilege access controls.

Deploy relational databases, NoSQL services, caching, object storage, backups, replication, and data lifecycle policies.

Track health, logs, metrics, alerts, incidents, recovery readiness, and build environments for data, ML, model APIs, and generative AI.