Cloud Migration
Migration to AWS, Azure, and GCP using lift-and-shift, replatform, or refactor strategies with assessment, data migration, and testing at minimal downtime.
Cloud Solutions
Cloud migration, SaaS development, and infrastructure management are delivered to drive performance and growth — on AWS, Azure, and Google Cloud with proven uptime and cost optimisation.
Cloud solutions are delivered including AWS migration with EC2, S3, Lambda, and RDS, Microsoft Azure services, Google Cloud Platform, SaaS development with multi-tenant architecture, DevOps with CI/CD pipelines using Jenkins and GitLab, Kubernetes orchestration, and Docker containerisation.
Solutions are delivered for lift-and-shift migration, cloud-native re-architecting, multi-cloud strategy, and DevOps transformation with infrastructure as code using Terraform and Ansible, plus disaster recovery, automated backups, and compliance including ISO 27001 and SOC 2.
Services
Cloud solutions are designed to optimise performance, reduce costs, and enable scalability.
Migration to AWS, Azure, and GCP using lift-and-shift, replatform, or refactor strategies with assessment, data migration, and testing at minimal downtime.
Software-as-a-Service with multi-tenant architecture, subscription management via Stripe and Razorpay, auto-scaling, and usage-based billing.
Infrastructure across AWS, Azure, and GCP with VPC configuration, security groups, IAM policies, automated scaling, and monitoring.
CI/CD pipelines with Jenkins, GitLab CI, and GitHub Actions, infrastructure as code with Terraform, and container orchestration with Kubernetes.
Encryption with AES-256 and SSL/TLS, IAM with least privilege and MFA, VPC network security, and compliance across ISO 27001, SOC 2, HIPAA, and GDPR.
Right-sizing, reserved and spot instances, demand-based auto-scaling, CDN integration, database tuning, and caching with Redis and Memcached.
Technologies Used
How It Works
A systematic approach ensures migration success and optimal performance.
Current infrastructure is evaluated with application inventory, dependency mapping, and TCO analysis, and opportunities identified using the 6 R's strategy.
Cloud architecture is designed for performance, security, and scalability with network topology, compute selection, storage strategy, and disaster recovery.
Solutions are implemented at minimal downtime with pilot migration, phased approach, data validation, and deployment via infrastructure as code.
Functional, performance, security, and disaster recovery testing is conducted with compliance validation and cost validation against projections.
Production deployment with cutover planning, DNS migration, SSL setup, monitoring configuration, and support during the go-live period with rollback capability.
Performance and cost optimisation, security updates, capacity planning, and monthly review reports maximise ROI through managed services.
Recent Work
Cloud
Migration of legacy systems to AWS with EC2, RDS, S3, and CloudFront achieved proven uptime and cost reduction, with auto-scaling and multi-region disaster recovery.
Cloud
A multi-tenant SaaS application on Azure with microservices and Kubernetes delivered auto-scaling, subscription billing, tenant isolation, and an uptime SLA.
Cloud
A CI/CD pipeline with Jenkins and GitLab CI, Docker containerisation, Kubernetes deployment, and Terraform reduced deployment time through automation.
Frequently Asked
Cloud migration to AWS, Azure, and GCP; SaaS development with multi-tenant architecture and auto-scaling; infrastructure management; DevOps with CI/CD, infrastructure as code, and containerisation; cloud security; performance optimisation; and disaster recovery with backup and multi-region replication.
Through assessment, TCO analysis, and strategy selection using the 6 R's framework; architecture design with security and disaster recovery; proof-of-concept validation; execution via lift-and-shift, re-platforming, or refactoring; and post-migration optimisation.
AWS suits the largest service catalogue and startups; Azure suits Microsoft integration and enterprise hybrid cloud; GCP suits big-data analytics with BigQuery and Kubernetes with GKE. The choice depends on ecosystem, workload, and cost.
DevOps combines development and operations for continuous integration and deployment, implemented with CI/CD pipelines, infrastructure as code via Terraform or Ansible, containerisation with Docker and Kubernetes, and monitoring with Prometheus and Grafana.
Assessment, planning, and proof of concept precede execution, which varies by strategy — lift-and-shift is fastest, re-platforming offers better efficiency, and refactoring provides maximum benefit — followed by optimisation. Larger migrations are phased.
Infrastructure monitoring, cost optimisation, performance tuning, security management, DevOps support, and disaster recovery with automated backup and multi-region replication are provided as managed services.
A cloud migration strategy and scalable solutions can drive performance improvements and cost reduction.
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