iMagic Solutions is an AWS solution provider in India delivering AWS-certified cloud consulting to startups and enterprises across India and the USA. We design and migrate workloads on Amazon Web Services, build serverless and containerised applications, run DevOps and CI/CD automation, harden security and compliance, and bring runaway AWS bills under control through FinOps reviews that typically cut spend by 30–40%. We also build production-grade generative AI on AWS Bedrock — agents, RAG assistants and copilots — hosted inside your own AWS account in the Mumbai region for data residency.
Hiring an AWS solution provider in India is no longer just about provisioning EC2 instances. In 2026, AWS has evolved into the platform you build modern applications on — serverless backends, container platforms, data lakes, and generative AI agents — all governed by tight security and FinOps discipline. Most teams know AWS is the right call but don't have the in-house bandwidth to architect it properly. That is where iMagic comes in: we design, build and operate AWS environments the right way from day one, and we fix the ones that have drifted off course.
Every engagement is led by AWS Certified Solution Architects and follows the AWS Well-Architected Framework across its six pillars — operational excellence, security, reliability, performance efficiency, cost optimisation, and sustainability. We don't guess at patterns; we apply AWS's own playbook to your workload, then automate the implementation. Whether you're migrating a legacy on-premise system, modernising a monolith into microservices, going fully serverless, or just trying to bring a runaway AWS bill back under control, the outcome is the same: an environment your team can ship on confidently.
AWS cost is the single biggest reason teams come to us. Most AWS accounts we audit are 30–40% over-spent — typically through over-provisioned RDS instances, idle resources nobody owns, the wrong storage tiers, EBS volumes still attached to terminated instances, and Savings Plans nobody bought. Our FinOps reviews surface every line of waste, map it to a remediation plan, then execute the changes with infrastructure-as-code so the savings stick. Clients routinely save more in the first quarter than the entire engagement costs.
We have deep expertise on AWS Bedrock — Amazon's managed generative AI platform — and we're seeing the fastest demand growth for AI agents, RAG assistants and copilots built natively on Bedrock. Hosting AI workloads on Bedrock keeps your data inside your AWS account (critical for healthcare, fintech and regulated industries), uses Bedrock Knowledge Bases for managed RAG with vector storage and retrieval handled automatically, and lets you switch between Claude, Llama, Nova and other foundation models without re-architecting. We build production-grade Bedrock agents — not demos — using AgentCore for orchestration, tracing and evaluation. The Mumbai region now has full Bedrock availability, so Indian businesses can deploy generative AI without leaving the country.
Infrastructure-as-code is non-negotiable on every project. We write Terraform and CloudFormation templates so your environment is repeatable, version-controlled, peer-reviewed and recoverable. CI/CD pipelines on GitHub Actions, AWS CodePipeline or GitLab CI automate the build-test-deploy loop so engineers spend their time shipping features instead of clicking buttons in the AWS console. Blue/green deployments, canary releases, automated rollbacks, and infrastructure drift detection ship by default. Combined with proper observability — CloudWatch dashboards, structured logs, distributed tracing on X-Ray — you get a production platform that's safe to move fast on.
We work with companies across India and the USA — SaaS founders, fintech and healthtech startups, e-commerce platforms, manufacturing and logistics. Engagements range from short FinOps reviews (2–4 weeks) to full multi-quarter modernisation programmes with dedicated AWS teams embedded with your engineers. Hire us as a project-based AWS consultancy, embed our certified AWS developers as a dedicated team, or engage us on an hourly basis for architecture review and advisory. Most clients start with a free 30-minute architecture call.
Move legacy on-premise and co-located apps to AWS with minimal downtime, then modernise into cloud-native services — lift-and-shift, re-platform or full re-architect.
Secure, resilient, cost-aware AWS infrastructure designed by AWS Certified Solution Architects across all six Well-Architected pillars, with a written architecture review document.
Automated build/test/deploy pipelines on GitHub Actions, AWS CodePipeline or GitLab CI. Infrastructure-as-code (Terraform, CloudFormation, CDK), blue/green deploys and automated rollbacks.
Event-driven applications on Lambda, API Gateway, EventBridge, SQS, SNS, Step Functions and DynamoDB. Scale automatically, cut idle cost, and pay only for what runs.
Production-grade Amazon ECS, EKS (Kubernetes) and Fargate platforms with service meshes, auto-scaling, load balancing and zero-downtime deploys.
Production AI agents, RAG assistants and copilots built natively on AWS Bedrock. Knowledge Bases for managed RAG, AgentCore for orchestration, model portability across Claude, Llama, Nova and Mistral. Mumbai region for data residency.
Right-sizing, Reserved Instances, Savings Plans, Spot, idle resource removal, storage tiering, and ongoing optimisation. We routinely cut AWS bills by 30–40% with no performance loss.
Data lakes on S3, Glue ETL, Athena, Redshift, Kinesis streaming and SageMaker. Production-ready ML pipelines and analytics dashboards your business teams can actually use.
GuardDuty, Security Hub, IAM Access Analyzer, Config rules, KMS encryption, CloudTrail audit, AWS WAF, automated patching, and SOC 2/HIPAA/PCI-aligned controls.
Monitoring on CloudWatch and Datadog, on-call rotation, incident response, backups, patching, quarterly Well-Architected reviews and clear SLAs — all under one retainer.
Every engagement is led by certified AWS Solution Architects (Associate and Professional) following the AWS Well-Architected Framework — not trial-and-error from generalist engineers.
Our FinOps reviews routinely cut AWS bills by a third through right-sizing, Savings Plans, Reserved Instances, storage tiering, idle resource removal and continuous optimisation.
We build agents, RAG assistants and copilots natively on AWS Bedrock — Mumbai region, AgentCore-orchestrated, Knowledge Bases for RAG, model-portable across Claude, Llama and Nova.
Terraform and CloudFormation make your environment repeatable, version-controlled, peer-reviewed and recoverable from any failure. No clicking through the console in production.
GuardDuty, IAM least-privilege, KMS encryption, Config rules, CloudTrail audit logging, automated patching and SOC2/HIPAA/PCI-aligned design patterns from day one.
We deploy primarily in the AWS Mumbai region (ap-south-1) for Indian clients, keeping data inside Indian borders and minimising latency for your users — including full Bedrock availability for AI workloads.
Hire dedicated AWS developers as an extended team, engage us project-based for a defined migration or build, or book hourly architecture advisory — whichever matches how you actually work.
Post-launch managed services include monitoring, alerting, on-call rotation, backups, patching, incident response and quarterly architecture reviews under clear SLAs.
A few of the things we deliver under aws cloud & devops:
We review your current AWS environment (or on-premise setup), map workloads, costs, risks and your business goals. Output: a written assessment with prioritised opportunities and a rough cost/timeline.
We design the target AWS architecture against all six Well-Architected pillars. You get a detailed architecture document, IaC plan, security model, cost projection and migration runbook before any code is written.
Execute with Terraform/CloudFormation infrastructure-as-code, automated CI/CD pipelines and phased blue/green or canary deploys. Continuous status reports — you're never wondering what's happening.
Post-launch FinOps review, performance tuning, observability dashboards, and a security audit. This is where the 30–40% cost savings usually land — and they stick because the optimisations are in code.
24/7 managed cloud operations under SLA — monitoring, on-call, backups, patching, incident response, plus quarterly architecture reviews to keep things tuned as AWS evolves and your workload grows.
Yes — iMagic Solutions is an AWS-certified solution provider in India with AWS Certified Solution Architects (Associate and Professional) leading every engagement. We deliver AWS architecture, migration, DevOps, FinOps and Bedrock-based generative AI for clients across India and the USA, primarily in the AWS Mumbai region (ap-south-1).
Our cloud team holds AWS Certified Solutions Architect (Associate and Professional), AWS Certified DevOps Engineer, AWS Certified Developer, AWS Certified Security – Specialty, and AWS Certified Machine Learning – Specialty certifications. Every cloud engagement is led by a certified architect, not a generalist developer.
Most clients see a 30–40% reduction in their AWS bill after a FinOps cost optimisation review — sometimes more. We work through right-sizing, Savings Plans, Reserved Instances, Spot for non-critical workloads, storage tiering, idle resource removal and continuous monitoring. The savings stick because the changes go into infrastructure-as-code, not a one-off manual fix.
Yes — we build production-grade generative AI on AWS Bedrock: agents, RAG assistants, copilots and chatbots. We use Bedrock AgentCore for orchestration and tracing, Knowledge Bases for managed RAG, and your choice of foundation model (Claude, Llama, Nova, Mistral). Everything runs inside your own AWS account in the Mumbai region for data residency and compliance.
Hiring AWS developers in India typically costs 60–70% less than equivalent talent in the US or UK while delivering the same quality, because India has the world's largest pool of AWS-certified engineers. We offer three engagement models: dedicated AWS developers (extended team, billed monthly), project-based (fixed scope and price), and hourly architecture advisory. Exact rates depend on certification level and seniority — talk to us for a quote.
Yes. We handle everything from straightforward lift-and-shift migrations (move VMs to EC2 with minimal change) to full re-platforming into serverless or containerised cloud-native architectures. Migration plans are written up-front with phased downtime windows, rollback procedures, data sync strategies, and a clear cutover plan. We've moved on-premise, co-located and other-cloud (Azure, GCP, Digital Ocean) workloads to AWS.
Yes — Mumbai (ap-south-1) is our default region for Indian clients, with Hyderabad (ap-south-2) for multi-AZ and disaster recovery. Mumbai has full Bedrock availability for generative AI workloads, plus complete data residency for businesses with Indian-data-only requirements. For USA clients we work primarily in us-east-1 (N. Virginia) and us-west-2 (Oregon).
It depends on workload complexity. A single application lift-and-shift typically takes 4–8 weeks; a multi-application re-platform into serverless or containers takes 3–6 months; a full enterprise modernisation programme is 6–18 months. We always start with a discovery phase that ends in a written timeline before any migration code is written.
Yes. Post-launch managed services include 24/7 monitoring and alerting on CloudWatch/Datadog, on-call rotation, incident response under SLA, automated backups and patching, security hardening, and quarterly Well-Architected reviews. Most clients move from a build engagement to a managed retainer once the platform stabilises.
Yes. We design AWS environments with GuardDuty threat detection, Security Hub for centralised findings, IAM least-privilege, KMS encryption at rest and in transit, Config rules for continuous compliance checks, CloudTrail audit logging, and AWS WAF. We've delivered SOC 2 Type II-ready environments, HIPAA-eligible workloads for healthcare and PCI-DSS-aligned architectures for fintech.
It's AWS's published set of best practices across six pillars — operational excellence, security, reliability, performance efficiency, cost optimisation and sustainability. Every architecture we design and every existing environment we audit is reviewed against the Well-Architected Framework, with a written report scoring each pillar and listing prioritised improvements.
Large consultancies sell you bench-warmed generalist developers; we send AWS Certified Solution Architects who actually own the outcome. We charge less than Tier 1 SI firms but deliver senior-grade architecture, modern DevOps practices and generative-AI-on-Bedrock expertise that most legacy AWS partners haven't caught up to yet. You get a small senior team, not a large junior one.
Yes. We've delivered hybrid setups with AWS Direct Connect to on-premise data centres, multi-cloud setups with Terraform managing AWS and Azure, and migrations from GCP and Digital Ocean to AWS. Our preference is single-cloud-on-AWS because it's simpler to operate and cheaper to run, but we'll honestly tell you when multi-cloud is the right answer.
We've delivered AWS engagements for SaaS startups (multi-tenant architecture, billing, observability), fintech (PCI-DSS, transaction processing, compliance), healthtech (HIPAA, secure data handling), e-commerce (high-traffic platforms with CDN, search, recommendations), manufacturing and logistics (IoT, data pipelines) and AI startups (Bedrock, model hosting, vector databases).
Book a free 30-minute architecture call via /contact. We'll walk through your current setup, goals and constraints, then send you a written proposal within 48 hours with a clear scope, timeline and price. Most engagements start within 1–2 weeks.
Generative AI agents, RAG assistants, copilots and chatbots built on AWS Bedrock, Claude, OpenAI and open models — for India and the USA.
LLM-powered, RAG-grounded chatbots for web, WhatsApp, Slack and Teams — from $3K rule-based FAQ bots to $150K+ enterprise AI assistants. USD pricing, US/EU/India delivery.
Autonomous AI agents that take actions — not just answer — built on AWS Bedrock AgentCore, LangGraph and CrewAI. From $15K single-action to $300K+ enterprise.
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