Business operations are transformed through cloud technologies. Cloud migration, SaaS development, and infrastructure management solutions are delivered to drive performance and growth.
Cloud solutions are delivered in Mumbai including AWS migration with EC2, S3, Lambda, and RDS, Microsoft Azure cloud services, Google Cloud Platform, SaaS development with multi-tenant architecture, DevOps implementation with CI/CD pipelines using Jenkins and GitLab, Kubernetes orchestration, Docker containerisation, and cloud infrastructure management with proven uptime and cost optimisation results.
Cloud services are provided using established platforms. AWS is used for the largest service catalogue and scalable infrastructure. Azure is applied for Microsoft integration and enterprise hybrid cloud capabilities. GCP is chosen for big data analytics with BigQuery and competitive pricing with sustained use discounts. Cloud migration, DevOps transformation, and managed services are delivered with monitoring, auto-scaling, cost optimisation, and security management. Explore our cloud security or enterprise cloud applications.
Solutions are delivered for lift-and-shift migration, cloud-native re-architecting, multi-cloud strategy, Kubernetes microservices deployment, and DevOps transformation with infrastructure as code using Terraform and Ansible alongside CI/CD pipelines. Scalable infrastructure is built with disaster recovery, automated backups, compliance including ISO 27001 and SOC 2, and ROI analysis. Contact us for cloud assessment with TCO analysis, migration roadmap, cost-benefit projection, and cloud strategy for business transformation.
Scalable cloud architectures are designed and implemented to reduce costs, improve performance, and enhance business agility. AWS, Azure, and Google Cloud Platform are leveraged to achieve digital transformation goals.
Cloud migration, DevOps implementation, custom SaaS development, and infrastructure management are provided to ensure performance, security, and scalability. End-to-end cloud services are delivered that meet business requirements. Learn about our cloud-native web applications and cloud-backed mobile apps.
Applications are migrated to the cloud using lift-and-shift, replatform, or refactor strategies. Cloud-native solutions are built with microservices and containers. Current cloud infrastructure is optimised with cost management and auto-scaling to deliver measurable results.
Cloud solutions are designed to optimise performance, reduce costs, and enable scalability for business operations.
Migration to AWS, Azure, and GCP is performed using lift-and-shift, replatform, or refactor strategies. Assessment, data migration, application refactoring, and testing are conducted with minimal downtime. Rollback plans are established and migrations are completed with proven uptime. Timelines vary by complexity with phased approaches applied for larger implementations.
Software-as-a-Service applications are created with multi-tenant architecture and subscription management using Stripe and Razorpay. Auto-scaling with load balancing is implemented alongside cloud-native design using microservices. REST and GraphQL APIs are developed with database per tenant isolation and usage-based billing for performance and scalability.
Cloud infrastructure is established on AWS with EC2, S3, Lambda, RDS, and CloudFront, Azure with VMs, Blob Storage, Functions, and SQL Database, and GCP with Compute Engine, Cloud Storage, and BigQuery. VPC configuration, security groups, IAM policies, automated scaling, and monitoring with CloudWatch, Azure Monitor, and Google Operations are implemented.
CI/CD pipelines are developed using Jenkins, GitLab CI, GitHub Actions, and CircleCI with automated testing including unit, integration, and end-to-end tests. Infrastructure as code is established with Terraform, CloudFormation, and Ansible. Container orchestration with Kubernetes, Docker Swarm, and ECS is implemented alongside monitoring with Prometheus and Grafana. Deployment time is reduced through automation.
Security is implemented with encryption using AES-256 and SSL/TLS, IAM configuration with least privilege access and MFA, and VPC network security with firewalls and security groups. Compliance management covers ISO 27001, SOC 2, HIPAA, and GDPR. DDoS protection with AWS Shield and Azure DDoS, threat detection with GuardDuty and Security Center, and security audits are conducted.
Monitoring and optimisation are delivered with right-sizing instances, implementing reserved instances and savings plans, and spot instance management. Auto-scaling is configured based on demand. CDN integration with CloudFront, Azure CDN, and Cloud CDN is established. Database optimisation with query tuning and indexing alongside caching strategies with Redis and Memcached are implemented.
Cloud platforms and technologies are used to deliver robust, scalable, and secure cloud solutions.
EC2, S3, Lambda, RDS, CloudFront
VMs, Storage, Functions, SQL
Compute Engine, BigQuery, GKE
Containerisation platform
Container orchestration K8s
CI/CD automation pipeline
Infrastructure as code IaC
Cloud infrastructure droplets
A systematic approach to cloud implementation is followed to ensure migration success and optimal performance in cloud environments.
Current infrastructure is evaluated with application inventory, dependency mapping, and performance analysis. TCO analysis is conducted comparing on-premise and cloud costs. Cloud opportunities are identified using the 6 R's strategy including Rehost, Replatform, Refactor, Repurchase, Retire, and Retain. Migration roadmaps are created with timelines and priorities.
Cloud architecture is designed to meet performance, security, and scalability requirements. Network topology with VPC, subnets, and routing is planned. Compute selection between EC2, Lambda, and Azure Functions is determined. Storage strategy with S3, EBS, and Azure Blob is defined. Database design with RDS, DynamoDB, and Cosmos DB is created alongside disaster recovery planning.
Cloud solutions are implemented with minimal downtime using proven methodologies. Pilot migration is conducted as proof of concept. Phased migration approach is applied with data migration and validation. Application deployment is handled using infrastructure as code with Terraform and CloudFormation. Container migration with Docker and Kubernetes is performed alongside DNS cutover with validation.
Testing is conducted including functional testing for feature validation, performance testing for load and scalability, security testing with penetration and vulnerability scans, disaster recovery testing with backup restoration, compliance validation for ISO 27001 and HIPAA, cost validation against projections, and user acceptance testing with stakeholders.
Production deployment is executed with cutover planning, DNS migration, and SSL certificate setup. Monitoring configuration with CloudWatch, Datadog, and New Relic is established. Backup verification and runbook creation are completed. Team training and stakeholder communication are provided alongside support during the go-live period with rollback capability maintained.
Monitoring is provided with performance optimisation including auto-scaling tuning. Cost optimisation is delivered through right-sizing and reserved instance implementation. Security updates and patching are handled alongside capacity planning. Monthly review reports are provided with architecture improvements. ROI is maximised through continuous optimisation and managed services support.
Recent cloud migration and development projects are showcased to demonstrate expertise in cloud technologies.
Migration of legacy systems to AWS with EC2, RDS, S3, and CloudFront was completed with proven uptime and cost reduction. Auto-scaling and multi-region disaster recovery were implemented for a manufacturing company. High transaction volumes are processed with maintained performance and reliability.
A multi-tenant SaaS application was built on Azure with microservices architecture using Kubernetes. Auto-scaling supporting concurrent users, subscription billing, tenant isolation, and uptime SLA were delivered. The platform handles high user loads with maintained performance and security.
A CI/CD pipeline was implemented using Jenkins and GitLab CI with automated testing including unit, integration, and end-to-end tests. Docker containerisation and Kubernetes deployment were configured. Infrastructure as code with Terraform alongside monitoring with Prometheus and Grafana were established. Deployment time was reduced through automation.
Cloud migration strategy and scalable solutions can drive business forward with performance improvements and cost reduction.
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