Scalable Cloud Solutions & Infrastructure

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.

Enterprise Cloud Solutions

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.

100+ Cloud Migrations
99.9% Cloud Uptime
60% Cost Reduction
24/7 Cloud Monitoring

Cloud Development Services

Cloud solutions are designed to optimise performance, reduce costs, and enable scalability for business operations.

Cloud Migration Services

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.

SaaS Development

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.

Infrastructure Management

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.

DevOps Implementation

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.

Cloud Security

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.

Performance Optimisation

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 Technologies Used

Cloud platforms and technologies are used to deliver robust, scalable, and secure cloud solutions.

Amazon AWS

EC2, S3, Lambda, RDS, CloudFront

Microsoft Azure

VMs, Storage, Functions, SQL

Google Cloud

Compute Engine, BigQuery, GKE

Docker

Containerisation platform

Kubernetes

Container orchestration K8s

Jenkins

CI/CD automation pipeline

Terraform

Infrastructure as code IaC

DigitalOcean

Cloud infrastructure droplets

Cloud Development Process

A systematic approach to cloud implementation is followed to ensure migration success and optimal performance in cloud environments.

1

Assessment & Planning

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.

2

Architecture Design

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.

3

Migration & Development

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.

4

Testing & 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.

5

Deployment & Go-Live

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.

6

Optimisation & Support

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 Projects

Recent cloud migration and development projects are showcased to demonstrate expertise in cloud technologies.

Enterprise Cloud Migration

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.

AWS Docker Terraform

SaaS Platform Development

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.

Azure Microservices Kubernetes

DevOps Pipeline Implementation

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.

Jenkins GitLab CI K8s

Frequently Asked Questions

What cloud solutions and services are provided?

Cloud solutions are provided including cloud migration to AWS, Microsoft Azure, and Google Cloud Platform with lift-and-shift, re-platforming, and re-architecting strategies. SaaS development is delivered with multi-tenant architecture, subscription management, and auto-scaling. Cloud infrastructure management includes EC2, S3, Lambda, RDS on AWS, Azure VMs and Functions, and Google Compute Engine. DevOps implementation is provided with CI/CD pipelines, infrastructure as code using Terraform and Ansible, and containerisation with Docker and Kubernetes. Cloud security, performance optimisation, and disaster recovery are established with backup management and multi-region replication.

How are cloud migrations performed?

Cloud migrations are performed through assessment of current infrastructure, TCO analysis, and migration strategy selection using the 6 R's framework. Architecture is designed with network topology, security configuration, and disaster recovery planning. Proof of concept validation is conducted with pilot migrations. Migration execution is handled using lift-and-shift for straightforward VM migration, re-platforming with minor optimisations, or refactoring for cloud-native design with microservices. Post-migration optimisation includes performance tuning, cost optimisation, and security hardening.

Should AWS, Azure, or Google Cloud Platform be chosen?

AWS is chosen for the largest service catalogue with mature ecosystem and strong support for startups. Azure is selected for Microsoft integration with Active Directory and Office 365, hybrid cloud capabilities, and enterprise support. Google Cloud Platform is chosen for big data analytics with BigQuery, competitive pricing with sustained use discounts, and Kubernetes excellence with GKE. AWS is recommended for startups and SaaS platforms. Azure is recommended for enterprises with Microsoft ecosystems. GCP is recommended for data-intensive applications and Kubernetes workloads.

What is DevOps and how is it implemented?

DevOps combines software development and IT operations to deliver continuous integration and deployment. Implementation includes CI/CD pipeline setup with Jenkins, GitLab CI, or GitHub Actions. Infrastructure as code is established using Terraform, CloudFormation, or Ansible. Containerisation is implemented with Docker and Kubernetes orchestration. Monitoring and logging are configured with Prometheus, Grafana, and ELK Stack. Automated testing with unit, integration, and end-to-end tests is integrated into pipelines. Configuration management is handled with version control and branching strategies.

What is the cloud migration process and timeline?

Cloud migration begins with assessment including application inventory, dependency mapping, and TCO analysis. Planning includes cloud architecture design, migration roadmap creation, and team training. Proof of concept validation tests pilot migration approach. Migration execution varies by strategy with lift-and-shift being fastest, re-platforming offering better efficiency, and refactoring providing maximum benefits. Post-migration optimisation includes performance tuning, cost optimisation with right-sizing and reserved instances, security hardening, and monitoring setup. Timelines vary by complexity with phased approaches used for larger migrations.

Are ongoing cloud management and support provided?

Managed cloud services are provided including infrastructure monitoring with CloudWatch, Azure Monitor, and Google Cloud Operations Suite. Cost optimisation is delivered through monthly analysis, right-sizing recommendations, and reserved instance implementation. Performance optimisation includes auto-scaling configuration, load balancer optimisation, and CDN implementation. Security management covers patch management, compliance monitoring, IAM policy review, and security audits. DevOps support includes CI/CD pipeline maintenance and container orchestration management. Disaster recovery is handled with automated backup management, multi-region replication, and business continuity planning.

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