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.
- Home
- ServicesAI Systems & AgentsLLM orchestration, RAG & autonomous agentsGenerative AI & LLM SolutionsCustom LLM apps, copilots & content enginesEnterprise Software EngineeringWeb & mobile platforms engineered for scaleCloud & DevOpsCloud infrastructure, CI/CD & automationAI Product Strategy & ConsultingAI strategy, roadmaps & MVP validationAI Talent SolutionsDedicated AI engineers & embedded teams
- ProductsUrl InkShorten, brand, and track every link in one place.CodortalTransform your dental practice’s digital presence.
- IndustriesHealthcare & HealthTechAI applications, patient engagement, and healthcare SaaS platforms.FinTech & Financial ServicesSecure software, AI analysis, and compliance-focused automation.E-Commerce & RetailAI recommendations, intelligent search, and inventory automation.Marketing & Advertising TechCampaign intelligence, creative automation, and analytics.EdTech & Learning PlatformsAdaptive learning, assessment AI, and content generation.Business Consulting & Enterprise OperationsInternal tooling, workflow automation, and enterprise AI.
- Case StudiesLDW — Assessment AI60% faster assessment report creation · Edtech.Abbi.Ai — AI Platform55% less admin workload · Marketing.Ads Grader — Ad Intelligence50% faster campaign analysis · Marketing.SEM Growth CRM — Revenue Analytics45% better lead attribution accuracy · Enterprise.Addendum Pro — Knowledge AI65% less knowledge search time · Enterprise.
- InsightsBest AI dev companies12 min read · 2026 guide.Real cost of AI apps8 min read · Playbook.MVP in 60 hours6 min read · Strategy.AI vs traditional dev9 min read · Essay.
- CompanyAbout UsWho we are and what drives our AI-first studio.How We WorkOur delivery process, from discovery to production.CareersJoin the team building AI systems that ship.EventsTalks, webinars, and meetups we're part of.
AWS, AZURE & GCP CLOUD SERVICES
AWS, Azure and Google Cloud Services
Design, migrate, modernize, and manage secure cloud environments across Amazon Web Services, Microsoft Azure, and Google Cloud Platform. At Grayphite, we help businesses select and implement the right cloud platform for their applications, data, infrastructure, AI workloads, and enterprise systems. Whether you are adopting one provider, migrating between clouds, or operating a hybrid or multi-cloud environment, our cloud engineers build reliable infrastructure aligned with your technical and business goals.
Overview
When Does Your Business Need AWS, Azure or GCP Services?
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.
Signs your business may need cloud platform services
- Your team needs help comparing AWS, Azure, and GCP based on application requirements, integrations, existing technology, security, skills, and long-term cost.
- Applications, databases, and services currently run on legacy hosting, physical servers, private infrastructure, or another cloud platform.
- Accounts, subscriptions, projects, networks, permissions, environments, and resources lack consistent architecture or governance.
- Your current infrastructure cannot support changing traffic, growing users, larger datasets, or business-critical availability requirements.
- Resources are overprovisioned, unused, duplicated, or difficult to allocate across teams, products, and environments.
- You need infrastructure for model APIs, data pipelines, analytics, vector databases, machine learning, or generative AI applications.
Business Value
Why Businesses Invest in AWS, Azure and Google Cloud
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.
Benefits of AWS / Azure / GCP
Modernize application infrastructure
Replace manual server management with automated, cloud-native, containerized, serverless, or managed services.
Improve scalability and availability
Use load balancing, auto-scaling, distributed architecture, managed databases, and resilient cloud services.
Strengthen cloud security
Implement identity management, network isolation, encryption, secrets management, policies, logging, and security monitoring.
Accelerate software delivery
Combine cloud infrastructure with infrastructure as code, CI/CD, containers, monitoring, and automated deployment.
Improve cloud cost control
Track usage, right-size resources, optimize storage and compute, and align infrastructure spending with workload requirements.
CAPABILITIES
Key Features & Capabilities of AWS, Azure and GCP Services
Grayphite provides cloud engineering capabilities across architecture, migration, security, automation, modernization, and ongoing platform operations.
Cloud Strategy & Platform Selection
Compare AWS, Azure, and GCP based on application, data, AI, compliance, operations, performance, and cost requirements.
Cloud Architecture Design
Design accounts, subscriptions, projects, environments, networks, compute, storage, databases, security, availability, and traffic flows.
Cloud Migration
Move applications, workloads, databases, files, and services from legacy infrastructure, private hosting, or another cloud provider.
Application Modernization
Modernize applications with containers, serverless services, managed databases, APIs, microservices, and cloud-native architecture.
Infrastructure as Code
Provision and manage cloud resources using automated, reusable, version-controlled infrastructure definitions.
Identity & Access Management
Configure users, roles, policies, service identities, SSO, permissions, and least-privilege access controls.
Managed Databases & Storage
Deploy relational databases, NoSQL services, caching, object storage, backups, replication, and data lifecycle policies.
Monitoring, Recovery & AI Services
Track health, logs, metrics, alerts, incidents, recovery readiness, and build environments for data, ML, model APIs, and generative AI.
Industry applications
AWS, Azure and GCP Use Cases by Industry
Cloud platforms can be configured around the security, performance, integration, data, and availability needs of different industries.
HealthTech
AWS, Azure, and GCP help HealthTech businesses operate secure patient platforms, administrative applications, data systems, and AI workloads.
- Healthcare application hosting
- Patient platform cloud infrastructure
- Secure healthcare data environments
- Medical document processing systems
- Healthcare analytics and AI infrastructure
FinTech & Financial Services
Cloud platforms help financial organizations operate secure applications, reporting systems, data services, and transaction workloads.
- Financial application infrastructure
- Customer and advisor platforms
- Risk and reporting environments
- Secure data processing workloads
- High-availability cloud architecture
Ecommerce
AWS, Azure, and GCP help ecommerce businesses scale storefronts, order systems, product catalogs, integrations, and customer experiences.
- Scalable ecommerce infrastructure
- Storefront and API hosting
- Order and inventory platforms
- Product search and recommendation systems
- Content delivery and performance optimization
AdTech
Cloud platforms help AdTech businesses manage high-volume campaign data, event processing, analytics, APIs, and reporting systems.
- Campaign platform infrastructure
- Event-driven data processing
- Audience analytics environments
- Reporting and dashboard platforms
- High-volume API infrastructure
EdTech
AWS, Azure, and GCP help education businesses operate learning platforms, student systems, content services, and analytics environments.
- Learning platform cloud hosting
- Student and instructor portals
- Assessment processing systems
- Content delivery environments
- Education data and AI platforms
Consulting
Cloud platforms help consulting firms build secure client environments, internal applications, reporting systems, and reusable technical foundations.
- Client platform infrastructure
- Secure project environments
- Internal application hosting
- Data and reporting platforms
- Reusable cloud delivery environments
Technology ecosystem
Technologies Used Across AWS, Azure and Google Cloud
We use cloud-native and cross-platform technologies to build secure, automated, and maintainable cloud environments.
Amazon Web Services
Amazon EC2AWS LambdaAmazon ECS
Amazon EKSAmazon RDSAmazon S3Amazon CloudFrontAmazon VPC
Amazon CloudWatchMicrosoft Azure
Azure Virtual MachinesAzure FunctionsAzure App Service
Azure Kubernetes ServiceAzure SQLAzure StorageAzure Virtual NetworkAzure MonitorGoogle Cloud Platform
Google Compute EngineCloud RunCloud Functions
Google Kubernetes EngineCloud SQLCloud StorageBigQueryGoogle Cloud OperationsInfrastructure as Code
Terraform
Pulumi
AWS CloudFormationAzure BicepGoogle Cloud Infrastructure Manager
AnsibleContainers and Orchestration
Docker
KubernetesAmazon EKSAzure Kubernetes ServiceGoogle Kubernetes EnginePowered byGrayphiteCloud Stack
CI/CD and Automation
GitHub Actions
GitLab CI/CD
Jenkins
Azure DevOpsAWS CodePipelineGoogle Cloud Build
Argo CDDatabases and Data Services
PostgreSQL
MySQL
Microsoft SQL Server
MongoDB
RedisSecurity and Identity
AWS IAM
Microsoft Entra IDGoogle Cloud IAMMonitoring and Observability
CloudWatchAzure MonitorGoogle Cloud Operations
Prometheus
Grafana
Datadog
OpenTelemetryAI and Data Platforms
Amazon BedrockAzure AI servicesAzure OpenAIVertex AIBigQueryAI Project Estimator
Estimate Your Cloud & DevOps Project
Answer a few questions about your applications, cloud environment, deployment workflows, integrations, and scalability requirements. Our estimator will help you identify the likely scope, complexity, and recommended starting point for your infrastructure project.
- Understand the likely scope and complexity of your cloud environment.
- Identify the right mix of architecture, automation, monitoring, and deployment support.
- Receive a clear recommendation for moving forward.
Our process
How AWS, Azure and GCP Services Work
Cloud platform services combine architecture, migration, networking, compute, storage, databases, security, automation, observability, and operational support. A successful cloud initiative begins by understanding your applications, users, systems, data, internal capabilities, and business priorities before selecting individual cloud services.
Cloud and workload assessment
We review your applications, infrastructure, data, integrations, security requirements, operational processes, cloud spending, and growth plans.
Platform selection and cloud strategy
We assess AWS, Azure, GCP, hybrid, and multi-cloud options against your technical, business, security, and operational requirements.
Cloud architecture design
We define account or subscription structure, networking, compute, storage, databases, identity, security, observability, and environment strategy.
Migration and modernization planning
We determine which workloads should be rehosted, replatformed, refactored, replaced, retained, or retired.
Infrastructure implementation
We provision cloud environments, configure managed services, connect networks, migrate workloads, and automate infrastructure.
Security and governance setup
We establish permissions, policies, encryption, logging, cost controls, resource standards, and cloud governance.
Monitoring and operational readiness
We implement alerts, dashboards, backups, recovery procedures, performance monitoring, and incident processes.
Optimization and ongoing support
We continuously improve performance, cost, security, reliability, automation, and cloud architecture as requirements evolve.
Why Grayphite
Why Choose Grayphite for AWS, Azure and GCP Services?
Grayphite combines cloud architecture, software engineering, DevOps automation, security, data infrastructure, and AI engineering to build cloud environments around real products and business requirements.
Platform-Neutral Cloud Guidance
We assess AWS, Azure, and GCP based on your needs rather than recommending one provider for every workload.
Application-Aware Architecture
We design cloud environments around your software architecture, users, integrations, data, and performance requirements.
Migration and Modernization Expertise
We support workload assessment, cloud migration, application modernization, data movement, validation, and phased adoption.
Infrastructure Automation
We use infrastructure as code, CI/CD, containers, and repeatable deployment patterns to reduce manual operations.
Security and Governance
We plan identity, networking, encryption, policies, logging, monitoring, backups, recovery, and cost controls from the beginning.
AI-Ready Cloud Foundations
We build infrastructure for generative AI applications, model APIs, data pipelines, vector databases, analytics, and intelligent workloads.
End-to-End Delivery
Our team supports assessment, platform selection, architecture, migration, implementation, security, monitoring, optimization, and ongoing support.
Related services
Related Services
Explore other Cloud & DevOps services from Grayphite that pair well with this one.
FAQ
Frequently Asked Questions
What are AWS, Azure, and GCP?+
AWS, Microsoft Azure, and Google Cloud Platform are cloud computing platforms that provide infrastructure, application hosting, databases, storage, networking, analytics, AI, security, and managed technology services.
Which cloud platform should my business choose?+
The right platform depends on your applications, existing technology, internal skills, enterprise integrations, data workloads, AI requirements, security needs, expected growth, and budget.
Is AWS better than Azure or GCP?+
No cloud platform is best for every organization. AWS, Azure, and GCP offer different ecosystems and service strengths. The best choice depends on your specific workloads and business environment.
Can Grayphite help us choose a cloud provider?+
Yes. Grayphite can assess your current systems, applications, data, technical requirements, internal capabilities, and commercial priorities to recommend an appropriate cloud strategy.
Can Grayphite migrate applications to AWS?+
Yes. We can assess, migrate, modernize, deploy, and optimize applications, databases, and infrastructure on AWS.
Can Grayphite migrate applications to Microsoft Azure?+
Yes. We can design and migrate workloads to Azure, including applications, databases, identity, networking, storage, and enterprise integrations.
Can Grayphite migrate applications to Google Cloud?+
Yes. We can migrate and modernize applications, data workloads, container platforms, analytics systems, and AI applications on Google Cloud.
Can applications be migrated between cloud providers?+
Yes. Applications and workloads can be migrated between AWS, Azure, and GCP, although architecture, managed service dependencies, data movement, downtime, and cost must be evaluated carefully.
What is a multi-cloud environment?+
A multi-cloud environment uses services from more than one public cloud provider, such as AWS and Azure or Azure and Google Cloud.
What is a hybrid cloud environment?+
A hybrid cloud environment combines public cloud services with private cloud, on-premises infrastructure, data centers, or local enterprise systems.
Does every business need a multi-cloud strategy?+
No. Multi-cloud can add flexibility and reduce some dependencies, but it also increases architecture, security, governance, and operational complexity.
Can Grayphite manage existing cloud infrastructure?+
Yes. We can assess and improve existing cloud architecture, security, monitoring, automation, performance, reliability, cost, and operational processes.
Can AWS, Azure, and GCP support Kubernetes?+
Yes. Each provider offers managed Kubernetes services that can support containerized applications and distributed workloads.
Can these cloud platforms support AI applications?+
Yes. AWS, Azure, and Google Cloud provide infrastructure and managed services for generative AI, machine learning, data pipelines, model APIs, analytics, and GPU workloads.
How do you secure cloud environments?+
We use identity and access controls, network isolation, encryption, secrets management, policies, logging, security monitoring, backups, and secure configuration practices.
How do you control cloud costs?+
We review resource utilization, right-size services, improve auto-scaling, select appropriate pricing and storage models, remove unused resources, and establish cost monitoring.
Can Grayphite automate cloud infrastructure?+
Yes. We use infrastructure as code, CI/CD, configuration management, policies, and deployment automation to create repeatable cloud environments.
How long does a cloud migration take?+
The timeline depends on the number of applications, architecture, databases, data volume, integrations, security requirements, modernization scope, and acceptable downtime.
How much do AWS, Azure, and GCP services cost?+
The cost depends on assessment, architecture, migration scope, cloud resources, automation, security, monitoring, and ongoing support. Grayphite provides a tailored estimate after reviewing your environment.
How do I start an AWS, Azure, or GCP project?+
Start by sharing your applications, current infrastructure, preferred or existing cloud platform, security requirements, migration goals, workload expectations, and cost concerns. Grayphite can assess the environment and define the right cloud roadmap.
Free consultation · 30 min
Get in touch
San Jose · HQ
123 E San Carlos St, CA 95112
Open · local—
London
71-75 Shelton St, Covent Garden
Open · local—
Toronto
1 Yonge St, Ontario M5E 1W7
Open · local—