AWS + Azure + GCP
Terraform + Kubernetes + CI/CD
NDA Protected
Free Cloud Audit
200+
Cloud Projects Delivered
5
Cloud & DevOps Specialisms
AWS +
Azure + GCP Multi-Cloud IaC
IaC
Terraform + Kubernetes
What Are Cloud & DevOps Solutions & Why Does 'Moving to the Cloud' Without Engineering Discipline Produce Higher Bills and Lower Reliability?
Cloud computing replaces on-premise infrastructure by providing on-demand compute, storage, networking, and managed services through AWS, Microsoft Azure, and Google Cloud Platform. It has become the default infrastructure model for modern applications because it enables elastic scaling, global deployment, managed services that reduce operational overhead, and pay-as-you-go pricing. Organisations benefit from faster infrastructure provisioning, lower capital expenditure, automated maintenance, and the flexibility to scale resources based on actual business demand.
Cloud delivers value only when supported by sound engineering practices. Simply moving applications to AWS, Azure, or GCP does not improve reliability, scalability, or cost efficiency if the underlying architecture remains unchanged. Kubernetes requires applications designed for horizontal scaling, while effective FinOps demands rightsizing, Reserved Instances, Spot workloads, and cost governance. Likewise, backups that have never been tested for recovery are not a true disaster recovery strategy but only a false sense of security.
At Evolution Infosystem, our Cloud & DevOps practice spans five core disciplines: Cloud Architecture & Infrastructure Design, Cloud Consulting & Migration, CI/CD Pipeline Setup & Deployment Automation, FinOps & Cloud Cost Optimisation, and Disaster Recovery & Backup Solutions. We design AWS, Azure, and GCP environments using Terraform, implement the right migration strategy, automate deployments with GitHub Actions, Jenkins, GitLab CI, and ArgoCD, optimise cloud costs through FinOps, and build resilient backup and multi-region disaster recovery solutions. With 200+ cloud projects delivered, we help SaaS, manufacturing, BFSI, and e-commerce businesses build secure, scalable, and cost-efficient cloud platforms.
| Common Cloud Problems (Without Engineering Discipline) | What Proper Cloud & DevOps Engineering Delivers |
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Our Cloud & DevOps Solutions - Five Specialisms, One Expert Team
Each service below has a dedicated full-length page with technical depth, architecture diagrams, code examples, case studies, and FAQs. This hub provides the overview - click through to the service page for complete detail.
Cloud Architecture & Infrastructure Design
VPC, compute, storage, networking, and database architecture on AWS, Azure, and GCP - all in Terraform IaC
- VPC design: subnets, routing, security groups, NACLs
- Compute: EC2, ECS, EKS, Lambda, App Service, Cloud Run
- Storage: S3, EBS, EFS, Blob, GCS with lifecycle policies
- Managed databases: RDS, Aurora, Cosmos, Cloud SQL, DynamoDB
- CDN, ALB/NLB, WAF, Route 53 / Azure DNS / Cloud DNS
- Full Terraform IaC for all resources - version-controlled
Cloud Consulting & Migration
The 6 Rs of migration applied to your workloads - Rehost, Replatform, Refactor, Repurchase, Retire, Retain
- Application portfolio discovery and migration scoring
- Migration strategy selection per workload (6 Rs)
- Lift-and-shift to AWS/Azure/GCP with minimal downtime
- Replatforming: EC2 to ECS/EKS, RDS, managed services
- Refactoring: monolith to microservices, serverless
- Post-migration optimisation and validation
CI/CD Pipeline Setup & Deployment Automation
GitHub Actions, Jenkins, GitLab CI, and ArgoCD pipelines for automated build, test, scan, and deploy on every commit
- GitHub Actions / Jenkins / GitLab CI pipeline design
- Docker build, image scan, ECR/ACR/GCR push
- Kubernetes deployment via ArgoCD GitOps (Helm, Kustomize)
- Blue-green and canary deployment strategies
- SAST, SCA, secrets scanning embedded in pipeline
- Zero-downtime deployment with < 5-minute rollback
Cost Analysis & Cloud Optimization
FinOps: auditing, rightsizing, Reserved Instances, Savings Plans, and Spot workloads to cut cloud spend without cutting capability
- Cloud spend audit: waste identification and tagging gap
- Rightsizing: EC2/RDS instance type and size optimisation
- Reserved Instance and Savings Plan purchase modelling
- Spot/Preemptible Instance migration for batch workloads
- Data transfer cost analysis and architecture changes
- Ongoing FinOps dashboard and monthly cost governance
Disaster Recovery & Backup Solutions
RPO/RTO-aligned backup strategies, cross-region replication, automated failover, and tested DR runbooks that verify recovery works before a real incident
- RPO and RTO definition: aligning recovery objectives with business continuity requirements
- Automated daily/hourly backups: S3 cross-region replication, RDS automated snapshots, EFS backup
- Multi-region active-passive and active-active failover architectures on AWS/Azure/GCP
- Pilot light and warm standby DR strategies: pre-provisioned minimal infrastructure for fast recovery
- DR runbook development and quarterly DR test exercises with documented RTO validation
- Database replication: AWS Aurora Global Database, Azure SQL Geo-Replication, Cloud SQL cross-region replicas
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Cloud & DevOps Solutions - In-Depth
Cloud Architecture & Infrastructure Design
Cloud architecture design lays the foundation for reliable, secure, scalable, and cost-efficient cloud environments. We design VPCs or VNets with segmented subnets, routing, security groups, NACLs, and private service endpoints. Compute architecture is tailored using EC2, ECS, EKS, Lambda, Azure App Service, or Cloud Run, with Multi-AZ deployments and Auto Scaling for high availability. Database design covers RDS, Aurora, DynamoDB, Redis, and other managed services with appropriate sizing, backups, and failover. Every infrastructure component is provisioned through Terraform Infrastructure as Code, enabling version control, automated deployment, and repeatable, auditable infrastructure changes.
Cloud Consulting & Migration
Cloud consulting and migration help organisations move workloads from on-premise, colocation, or other cloud platforms to AWS, Azure, or GCP. We begin with application portfolio discovery, mapping dependencies, hosting environments, and business criticality before selecting the right migration strategy using the six Rs: Rehost, Replatform, Refactor, Repurchase, Retire, or Retain. Migration execution uses tools such as AWS MGN, Azure Migrate, Google Cloud Migrate, and AWS DMS for minimal downtime. Every workload is validated through performance and integration testing, followed by post-migration optimisation to improve cost, reliability, and cloud-native performance.
CI/CD Pipeline Setup & Deployment Automation
CI/CD pipelines automate building, testing, security scanning, and deployment, replacing manual, error-prone releases with reliable workflows. Every code commit triggers dependency installation, automated testing, code quality checks, SAST, SCA, and secrets detection. Validated builds are deployed through staging, UAT, and production using GitHub Actions, Jenkins, GitLab CI, or ArgoCD with rolling, blue-green, or canary deployment strategies. We also implement Docker multi-stage builds, secure container registries, vulnerability scanning, GitOps for Kubernetes, and Infrastructure as Code security checks for fast, secure, and repeatable software delivery.
Cost Analysis & Cloud Optimization
FinOps brings financial accountability to cloud engineering by making cost optimisation part of the development and operations process. We begin with a cloud cost audit, identifying waste such as idle instances, oversized databases, orphaned storage, unnecessary data transfer, and inefficient NAT Gateway usage. Optimisation includes rightsizing resources, Reserved Instances, Savings Plans, Spot or Preemptible instances, and architecture improvements. We also implement tagging, cost dashboards, budget alerts, and governance practices to provide visibility, control spending, and ensure long-term cloud cost efficiency.
Disaster Recovery & Backup Solutions
Disaster Recovery (DR) ensures business continuity after failures, cyberattacks, human errors, or natural disasters by defining Recovery Point Objective (RPO) and Recovery Time Objective (RTO). We design backup strategies using automated snapshots, RDS point-in-time recovery, S3 versioning, cross-region replication, Object Lock, and transaction log backups. Depending on business requirements, we implement Backup & Restore, Pilot Light, Warm Standby, or Active-Active multi-region architectures. Regular DR testing validates recovery procedures, measures actual RPO and RTO, and identifies issues before a real disaster occurs.
Our Cloud & DevOps Technology Stack
| CATEGORY | TECHNOLOGIES | USE CASE |
|---|---|---|
| AWS Services | EC2, ECS, EKS, Lambda, RDS, Aurora, DynamoDB, S3, CloudFront, ALB, Route 53 | Primary cloud platform for most engagements |
| Azure Services | VMs, AKS, App Service, Azure SQL, Cosmos DB, Blob, Azure CDN, Azure DNS | Enterprise and .NET workloads |
| GCP Services | GCE, GKE, Cloud Run, Cloud SQL, Firestore, GCS, Cloud Armor, Cloud CDN | Data-intensive and ML/AI workloads |
| IaC | Terraform, Terragrunt, AWS CDK, Pulumi | Infrastructure provisioning as code |
| Container Orchestration | Kubernetes (EKS, AKS, GKE), Helm, Kustomize | Container workload management |
| Containerisation | Docker, BuildKit, multi-stage builds, Docker Compose | Application containerisation |
| CI/CD | GitHub Actions, Jenkins, GitLab CI, ArgoCD, Argo Rollouts | Pipeline automation and GitOps |
| Monitoring / Observability | CloudWatch, Azure Monitor, Prometheus, Grafana, Datadog, PagerDuty | Infrastructure and application monitoring |
| Security | AWS IAM, GuardDuty, Security Hub, WAF, Secrets Manager, KMS | Cloud security and compliance |
| Service Mesh | Istio, AWS App Mesh, Linkerd | Microservices traffic management |
| Serverless | AWS Lambda, Azure Functions, Cloud Run, API Gateway | Event-driven and low-traffic workloads |
| Backup & DR | AWS Backup, DLM, S3 CRR, RDS PITR, Azure Site Recovery | Automated backup and disaster recovery |
| FinOps | AWS Cost Explorer, Azure Cost Management, Infracost, Kubecost | Cloud cost visibility and optimisation |
| Networking | VPC/VNet, Transit Gateway, Direct Connect, VPN, PrivateLink | Network design and connectivity |
| CDN & Edge | CloudFront, Azure CDN, Cloud CDN, Cloudflare | Global content delivery and DDoS protection |
Our Cloud & DevOps Engagement Process - 6 Phases
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AWS vs Azure vs GCP - Which Cloud is Right for Businesses in 2026?
| FACTOR | |||
|---|---|---|---|
| India regions | Mumbai (ap-south-1), Hyderabad (ap-south-2) | India Central (Pune), India South (Chennai), India West (Mumbai) | Mumbai (asia-south1), Delhi (asia-south2) |
| Market share India | Largest - dominant across all segments | Strong in enterprise, Microsoft-stack orgs | Growing, especially data/ML/AI workloads |
| Service breadth | Widest - 200+ services | Very broad - strong Azure-native stack | Deep on data and ML services |
| Compute | EC2, ECS, EKS, Lambda, Fargate | VMs, AKS, App Service, Functions | GCE, GKE, Cloud Run, Cloud Functions |
| Managed Kubernetes | EKS (mature, widely used) | AKS (strong Azure integration) | GKE (Google invented Kubernetes) |
| Managed Databases | RDS, Aurora, DynamoDB, Redshift | Azure SQL, Cosmos DB, PostgreSQL flex | Cloud SQL, Firestore, Bigtable, Spanner |
| AI/ML Services | SageMaker, Bedrock, Rekognition | Azure AI Studio, OpenAI integration | Vertex AI, Gemini, BigQuery ML |
| Cost (general) | Competitive - aggressive Savings Plans | Competitive - Azure Hybrid Benefit | Often lowest for compute; strong SUD |
| Support (India) | 24x7 enterprise; active partner network | 24x7 enterprise; MS partner ecosystem | Growing; strong for technical users |
| Best for India | Default choice; best ecosystem and talent | Microsoft stack, enterprise, Azure AD | Data engineering, BigQuery, ML/AI workloads |
Choose AWS when: you are starting a new cloud project with no existing cloud footprint and want the largest talent pool (AWS-certified engineers are the most available in India), the widest service selection, and the most mature managed services (EKS, RDS Aurora, and the SageMaker/Bedrock AI stack are all AWS-first in terms of maturity and India community support). AWS should be the default choice for Indian startups and mid-market technology companies.
Choose Azure when: your organisation already uses Microsoft 365, Azure Active Directory, or has significant Windows Server and .NET workloads - Azure's integration with the Microsoft ecosystem (Azure AD for identity, Azure DevOps for CI/CD, seamless Active Directory federation) provides specific value that AWS and GCP don't match. Also appropriate for large enterprises with existing Microsoft EA agreements that include Azure credits, and for companies where compliance requirements align with Microsoft's certifications for specific regulated industries in India.
Choose GCP when: your workload is data-intensive and BigQuery is the optimal data warehouse (Google's pricing and performance for BigQuery is a significant advantage for analytical workloads), when you are building or deploying ML/AI workloads and want first-party access to Google's model infrastructure, or when Kubernetes management is a primary concern - GKE remains the most operator-friendly Kubernetes managed service because Google invented Kubernetes. Multi-cloud: most organisations benefit from a primary cloud (usually AWS) with specific workloads on GCP (BigQuery analytics) or Azure (Azure AD identity). Full multi-cloud parity is an anti-pattern that adds complexity without proportional benefit for most organisations.
Infrastructure still in the console, not in Terraform?
We migrate your existing cloud resources to Terraform IaC - version-controlled, PR-reviewed, and reproducible. Average migration: 3-5 weeks for a medium-complexity environment.


Want to see our cloud & DevOps projects?
Browse 200+ cloud and DevOps implementations - SaaS, manufacturing, BFSI, e-commerce - with real cost savings, reliability improvements, and deployment frequency numbers.


Cloud & DevOps Use Cases by Industry
SaaS & B2B Software
Multi-tenant architecture, auto-scaling, CI/CD velocity
SaaS platforms on AWS, Azure, and GCP require cloud architectures that support multi-tenancy, elastic scaling, and frequent zero-downtime deployments. Tenant isolation can be implemented through separate accounts, dedicated databases, or shared databases with logical isolation. Kubernetes, ArgoCD GitOps, blue-green deployments, and Horizontal Pod Autoscalers provide scalable, automated delivery. FinOps is essential for controlling cloud COGS through rightsizing, Reserved Instances, and Spot workloads. Disaster recovery architecture must also align with SLA targets, with 99.9%, 99.99%, and 99.999% availability requiring progressively stronger resilience strategies.
Manufacturing & Industrial
IoT data ingestion, ERP hosting, OT/IT separation
Manufacturing companies adopt the cloud for both IT workloads, such as ERP, business applications, and analytics, and OT-connected workloads like factory IoT data. AWS IoT Core or Azure IoT Hub enables large-scale sensor ingestion, while AWS Timestream or InfluxDB stores time-series data for Grafana dashboards supporting OEE and predictive maintenance. ERP systems are commonly migrated to EC2 or managed containers with Direct Connect or VPN connectivity to factory systems. Disaster recovery includes cross-region database backups and tested restoration processes designed to achieve a 4-hour RTO.
BFSI - Banking, NBFC, Insurance
RBI cloud guidelines, compliance, HA, DR
BFSI cloud adoption in India must comply with RBI IT and Cyber Security Frameworks, including data localisation, business continuity, and security requirements. AWS, Azure, and GCP India regions support in-country data residency for regulated workloads. Secure architectures include encryption at rest and in transit, private VPCs without public internet access, comprehensive audit logging, and Multi-AZ deployment for critical banking systems. CI/CD pipelines require controlled production approvals, while quarterly disaster recovery exercises validate documented RPO and RTO targets.
E-Commerce & D2C
Diwali scale-out, CDN, zero-downtime deploys
E-commerce cloud architecture must support traffic spikes that can reach 10-20 times normal volumes during major sales events. Auto Scaling Groups with predictive scaling, ElastiCache Redis, CloudFront CDN, and Aurora Serverless help maintain performance under heavy demand. Blue-green deployments enable safe releases and instant rollbacks during peak traffic periods. FinOps strategies further optimise costs by using Reserved Instances for predictable workloads and Spot Instances for image processing and batch jobs, balancing scalability with cost efficiency.
Healthcare & Pharma
DISHA compliance, ePHI security, backup integrity
Healthcare cloud architecture in India must protect electronic Protected Health Information (ePHI) and align with DISHA data security requirements. Secure environments include customer-managed encryption keys, private VPC subnets, end-to-end TLS, comprehensive audit logging, and sensitive data scanning for patient records. Backup strategies typically include long-term retention to meet regulatory obligations, while healthcare SaaS platforms require secure multi-tenancy with customer-specific encryption. Regular penetration testing, compliance assessments, and disaster recovery with low RTOs ensure continuity of patient care and regulatory compliance.
Startups & Scale-Ups
Right-sized cloud from day one, FinOps early
Startups and scale-ups are typically cloud-native but often over-provision infrastructure and overlook cloud cost governance. A well-designed cloud architecture starts with right-sized compute, auto-scaling, and efficient instance families such as t3 or t4g instead of oversized servers. Serverless services like AWS Lambda reduce costs for low-traffic APIs and scheduled jobs, while Spot Instances optimise CI/CD and batch workloads. Implementing Terraform Infrastructure as Code from the outset also prevents costly manual infrastructure management as the business scales.

Frequently Asked Questions - Cloud & DevOps Solutions
Cloud migration is the process of moving applications, databases, and data from on-premise infrastructure or another cloud to AWS, Azure, or GCP. Cloud architecture defines how those workloads are designed, secured, scaled, and operated within the cloud. Architecture comes first, establishing the target environment before migration begins. The chosen migration strategy, whether Rehost, Replatform, or Refactor, determines how much redesign occurs during migration versus later optimisation. Early architecture decisions have long-term effects on reliability, operational effort, scalability, and cloud costs.
Cloud cost savings depend on how efficiently your environment is already managed. Rightsizing compute and databases typically reduces costs by 15-35%, Reserved Instances and Savings Plans save 30-72% on stable workloads, and Spot Instances can reduce eligible workload costs by 60-90%. Removing idle resources and optimising data transfer often delivers additional savings. Organisations without established FinOps practices commonly achieve 30-50% overall cloud cost reduction, with the biggest gains coming from rightsizing, eliminating waste, and implementing ongoing cloud cost governance.
Terraform is an Infrastructure as Code (IaC) tool that defines cloud resources such as EC2, VPCs, RDS, S3, IAM, and load balancers using HCL instead of manual console configuration. It enables reproducible environments across development, staging, and production while storing infrastructure changes in Git for version control, approvals, and auditing. Terraform also simplifies rollback, disaster recovery, and team collaboration through remote state management. Compared to manual "ClickOps," it provides a consistent, scalable, and maintainable approach to managing cloud infrastructure.
RPO (Recovery Point Objective) defines the maximum amount of data a business can afford to lose, while RTO (Recovery Time Objective) defines the maximum acceptable downtime after a disaster. Lower RPOs require more frequent backups or real-time replication, and lower RTOs require faster recovery architectures such as warm standby or active-active deployments. Both are business-driven decisions that directly influence disaster recovery design, cost, and complexity. At Evolution Infosystem, every DR strategy begins with a business impact analysis to define appropriate RPO and RTO targets before designing the technical solution.
FinOps is the organisational practice of bringing financial accountability to cloud spending, while cloud cost optimisation is the technical work of reducing cloud costs. FinOps combines three capabilities: Inform, through tagging, dashboards, and budget visibility; Optimise, using rightsizing, Reserved Instances, Spot workloads, and eliminating idle resources; and Operate, with governance, regular reviews, and cost accountability. Without FinOps, optimisation delivers only temporary savings. A mature FinOps practice ensures cloud spending remains efficient as infrastructure and business needs evolve.
Cloud migration timelines depend on application complexity, migration strategy, data volume, and the quality of existing documentation. A simple Rehost migration for a single application typically takes 3-6 weeks, while migrating 5-10 applications usually requires 2-4 months. Replatform projects generally take 4-8 weeks, whereas Refactor migrations involving cloud-native redesign can take 3-6 months. Large data migrations may extend timelines, although services like AWS Database Migration Service minimise downtime through continuous replication. In practice, undocumented application dependencies are the most common cause of migration delays.
Kubernetes is an open-source container orchestration platform that automates the deployment, scaling, load balancing, and recovery of containerised applications. Managed services like Amazon EKS, Azure AKS, and Google GKE simplify control plane management while supporting advanced deployment strategies such as rolling, blue-green, and canary releases. Kubernetes is ideal for organisations running multiple containerised applications at scale with mature DevOps practices. For simpler workloads, smaller teams, or low-traffic applications, services like ECS, Cloud Run, App Runner, Azure Container Apps, or serverless platforms often provide a more cost-effective and less complex solution.
Cloud security should be assessed across identity, network, data, and monitoring layers. This includes least-privilege IAM roles, MFA, secure private networking, restrictive security groups, WAF protection, encryption at rest and in transit, secure secrets management, and continuous threat detection with services such as GuardDuty, Defender for Cloud, CloudTrail, or Security Command Center. The most reliable assessment comes from a cloud security audit or provider security tools like AWS Security Hub, Azure Secure Score, or GCP Security Command Center. Evolution Infosystem's cloud security audit identifies risks, prioritises findings, and delivers a practical remediation plan.
Cloud architecture and infrastructure design (Terraform IaC, multi-AZ, Kubernetes), cloud consulting and migration (6 Rs strategy, AWS DMS, Azure Migrate), CI/CD pipeline setup (GitHub Actions, Jenkins, ArgoCD), cost analysis and cloud optimisation (FinOps, rightsizing, RI/SP), and disaster recovery and backup solutions (RPO/RTO design, cross-region replication, DR testing).
Yes. All cloud infrastructure Evolution Infosystem provisions is defined in Terraform HCL, tracked in Git, reviewed via pull request, and applied via CI/CD pipeline - no manual console provisioning.
Yes. Evolution Infosystem is a multi-cloud DevOps company supporting AWS (primary), Microsoft Azure, and Google Cloud Platform, with specific expertise in AWS EKS/ECS, Azure AKS, and GKE.
Yes. Through FinOps: cloud spend audit and waste identification, EC2/RDS rightsizing, Reserved Instance and Savings Plan purchase modelling, Spot Instance migration for appropriate workloads, and ongoing cost governance. Typical reduction: 30-50% for environments without prior optimisation.
Yes. DR engagements include RPO/RTO definition, cross-region backup architecture, automated failover design, DR runbook development, and quarterly DR test exercises validating actual RTO achievement.
Yes. Cloud security hardening covering IAM least-privilege review, GuardDuty/Defender for Cloud enablement, WAF implementation, encryption at rest and in transit, Secrets Manager migration, and CloudTrail audit logging to immutable cross-account storage.
Ready for Cloud & DevOps Engineering That Delivers Business Value - Not Just an AWS Bill?
200+ Projects. AWS + Azure + GCP. Terraform IaC + Kubernetes + CI/CD. FinOps + DR + Security. India & Global.


