Brainguru is a cloud company in Noida that helps businesses plan, migrate, secure and run their systems on Amazon Web Services, Microsoft Azure and Google Cloud. We design architectures, move workloads with minimal downtime, set up DevOps pipelines and control cloud costs, with delivery from our Noida office for clients in India and abroad.
Why cloud projects need planning
Moving to the cloud is not simply copying servers to someone else's data centre. Without planning, a migration can bring the same problems along, plus new bills. The Flexera 2026 State of the Cloud Report, based on a survey of 753 cloud decision-makers and users, found that respondents estimated 29% of their infrastructure and platform cloud spend was wasted, the first rise after five years of decline.
Successful cloud work rests on strategy, sound architecture, security, cost control and ongoing operations. We work across AWS, Azure and Google Cloud, so the recommendation follows your needs rather than one vendor. Our comparison of AWS, Azure, Google Cloud and Oracle for Indian businesses is a useful starting point.
Our cloud consulting services
Amazon Web Services (AWS)
AWS offers one of the broadest ranges of cloud services and a mature partner ecosystem. Our AWS consulting covers:
- Architecture design: Designs based on the AWS Well-Architected Framework, covering security, reliability, performance, cost and operations.
- Compute: EC2 right-sizing, Lambda serverless functions, ECS and EKS containers, and Auto Scaling for changing workloads.
- Databases: RDS and Aurora for relational data, DynamoDB for NoSQL workloads and ElastiCache for caching.
- Storage and CDN: S3 with lifecycle policies, CloudFront for content delivery and EBS tuning for block storage.
- AI and ML: SageMaker for model training and deployment, Bedrock for foundation models, Comprehend for language and Rekognition for images.
- Security: IAM policy design, VPC architecture, WAF, GuardDuty threat detection and compliance controls.
Microsoft Azure
Azure is often the natural choice for organisations built on Microsoft products, or selling to enterprises that require it.
- Architecture design using the Azure Well-Architected Framework
- Azure Virtual Machines, App Service and Azure Functions
- Azure SQL, Cosmos DB and Azure Managed Redis
- Microsoft Entra ID (formerly Azure Active Directory) and identity management
- Azure DevOps pipelines and CI/CD automation
- Microsoft 365 integration and hybrid cloud set-ups
- Azure AI services, including Azure OpenAI and Azure Machine Learning
Google Cloud Platform (GCP)
Google Cloud is strong in data analytics, machine learning and Kubernetes, which makes it a good fit for data-heavy and AI-driven applications.
- Architecture design following Google Cloud's best-practice frameworks
- Compute Engine, Cloud Run and Google Kubernetes Engine
- BigQuery data warehouse set-up and tuning
- Cloud SQL, Firestore and Spanner databases
- Google Cloud's AI platform, formerly Vertex AI, for building and deploying models
- Cloud CDN and Cloud Armor for content delivery and security
- Apigee API management
Cloud migration
Moving existing applications needs careful planning to avoid downtime, data loss and surprise costs. Our cloud migration services follow this order:
- Assessment: Audit infrastructure, applications and data to understand dependencies, performance needs and complexity for each workload.
- Strategy: Choose an approach per workload: rehost (lift and shift), replatform, refactor, repurchase (replace with SaaS) or retire.
- Planning: A migration plan with sequencing, rollback steps, testing and communication for each wave.
- Execution: Migrate in planned waves with testing at each stage, using blue-green deployment, phased cutover or parallel running to limit downtime.
- Optimisation: Right-size resources, set up auto-scaling, and configure monitoring and alerts.
DevOps and platform engineering
- CI/CD pipelines: Continuous integration and deployment with Jenkins, GitHub Actions, GitLab CI, AWS CodePipeline or Azure DevOps.
- Infrastructure as code: Terraform, CloudFormation or Pulumi, so infrastructure is version-controlled and repeatable.
- Container orchestration: Kubernetes on EKS, GKE or AKS, with networking, security policies, autoscaling and monitoring.
- Monitoring and observability: Prometheus, Grafana, Datadog or cloud-native tools for application, infrastructure and business metrics.
- Site reliability engineering: Service level objectives, error budgets, incident management and post-incident reviews.
For an ongoing service, see DevOps as a Service.
FinOps and cloud cost optimisation
Cloud costs can grow quickly without active management. In the State of FinOps 2026 survey of 1,192 practitioners, workload optimisation and waste reduction remained the single top current priority for FinOps teams. Our FinOps work covers:
- Cost visibility: Tagging, cost allocation and dashboards that show where spend goes and who owns it.
- Right-sizing: Usage analysis to find over-provisioned resources and better instance types.
- Commitment planning: The right mix of on-demand capacity, reserved instances and savings plans for your usage.
- Waste removal: Idle instances, unattached volumes, old snapshots and unused IP addresses.
- Architecture changes: Serverless, spot instances and tiered storage where they fit.
- Governance: Automated policies and budget alerts that stop overruns early.
Our cloud FinOps services page explains this work in more detail.
Security and compliance in the cloud
Security has to be designed in, not added after go-live. IBM's 2025 research for India put the average cost of a data breach at INR 220 million. We apply defence in depth: identity and access management, network segmentation, encryption at rest and in transit, threat detection, logging and compliance controls suited to your industry.
Data location matters too. AWS, Azure and Google Cloud all run regions in India, which helps when customers or regulators expect data to stay in the country. Where you hold personal data of people in India, the Digital Personal Data Protection Act 2023 applies, with its main duties starting on 13 May 2027 under the DPDP Rules.
Why choose a cloud company in Noida like Brainguru?
- Multi-cloud skills: We work across AWS, Azure and Google Cloud and recommend the platform that fits each workload.
- Business-led design: Every architecture decision weighs cost, operational effort and your growth plans, not only technical preference.
- Careful migrations: Each migration is planned in waves with rollback steps, to protect data and limit downtime.
- Security first: Access controls, encryption and monitoring are part of the design from the start.
- Cost focus: FinOps practices, from tagging to right-sizing, are part of the work, not an afterthought.
- Based in Noida: Our office at Bhutani Alphathum, Sector 90, makes in-person meetings straightforward for businesses in Noida and the wider NCR.
What drives the cost of cloud consulting and migration?
We do not publish prices or price ranges, because cloud projects vary widely. These are the factors that drive an estimate:
- Number of workloads: Each application, database and environment adds assessment, migration and testing work.
- Migration approach: Rehosting costs less than refactoring an application for cloud-native services.
- Legacy and data complexity: Old systems, large databases and tight downtime windows add effort.
- Compliance needs: Regulated data needs extra controls, documentation and audits.
- Ongoing operations: Managed services, monitoring and FinOps support after migration.
Our page on cloud migration cost in India explains these factors in more depth. We quote each project after an assessment.