AWS CertifiedMulti-Cloud Platform
End-to-end cloud and platform engineering services on AWS, Azure and GCP, from architecture and deployment to security, monitoring, backup, and cost optimization.
01Cloud Platforms
Dedicated practices for AWS, Azure, GCP and the DevOps automation that ties them together, with a full breakdown of what each engagement covers.
End-to-end AWS architecture, deployment and operations, sized right from day one and handed off with documentation your team can actually use.
Azure landing zones, AKS and hybrid cloud environments built to pass audit and hold up under enterprise governance requirements.
GKE, BigQuery and modern application platforms sized for data-intensive workloads, from pipeline design through IAM and cost control.
CI/CD pipelines and infrastructure as code that make releases routine, not risky, so shipping stops depending on who's on call.
02Cloud Services
A full-stack partner for architecture, deployment, security, monitoring, backup and cost, so your team can focus on the product.
Cloud foundations designed for growth from day one, so scaling later doesn't mean rebuilding the network and account structure you started with.
Provisioning and shipping workloads across AWS, Azure and GCP, matched to the platform and traffic pattern each application actually needs.
Automated pipelines that make releases routine, not risky, so a deploy is a scheduled event instead of an all-hands fire drill.
Defense-in-depth controls woven into every layer, from identity through the network to the data itself, checked before anything ships rather than after an audit.
Full visibility into infrastructure and application health, with metrics and alerts tied to what actually affects your users, not just raw server stats.
Resilient recovery strategies for critical workloads, tested on a schedule so a recovery plan is proven to work before you ever need it.
Spend that scales with value, not waste, with billing reviewed on a recurring basis instead of a one-time audit that goes stale in a month.
Extending monitoring and DevOps practice to AI-assisted and ML-driven workloads building RAG pipelines, deploying models through Bedrock, SageMaker or Vertex AI, and keeping cost, latency and failure modes visible the way a typical web service already is.
03How We Work
A structured, repeatable process so every cloud environment we build is secure, scalable and easy to operate.
04Reference Architecture
A production-grade AWS reference architecture: multi-AZ, private-by-default, with security and observability built in.
AWS reference architecture in ap-south-1 (Mumbai): users reach Amazon CloudFront via Route 53, protected by AWS WAF and Shield; traffic enters the VPC through an internet gateway to an Application Load Balancer, which routes to ECS on Fargate tasks in private subnets across two Availability Zones, backed by Multi-AZ Amazon RDS and ElastiCache, with S3, ECR, Secrets Manager and KMS as regional services, and IAM, CloudWatch, CloudTrail, GuardDuty, Security Hub, AWS Backup and Systems Manager for security, monitoring and operations.
Route 53 answers the DNS lookup and points users at the CloudFront distribution.
Approach
We design cloud environments on AWS, Azure or GCP, with security, scalability, availability, observability and cost efficiency built into the architecture.
05Platform Engineering
One operating view across infrastructure, networking, data, security, observability and DevOps.
06Cloud Security
From identity to data, every layer of your environment is designed and monitored with security as a first-class requirement.
Security is integrated into architecture, deployment and daily operations.
Environments are designed to support the technical controls behind
07Cost Optimization
A structured approach to cloud spend, so budget goes toward growth, not idle capacity.
08Backup & Disaster Recovery
Automated, retained and tested, so recovery is a known process, not an emergency.
Backup and disaster recovery flow: the application produces database backups from the managed database, VM snapshots from block storage, versioned object storage backups and a centralized log archive. All four feed a retention policy, which feeds recovery, and recovery restores back into the application.
Every workload ships scheduled backups: managed database snapshots, VM block-storage snapshots, versioned objects and centralized logs.
Plus retention policies tailored to compliance and business continuity requirements.
09Solutions
Common engagements across the cloud lifecycle, from first deployment to ongoing operations.
11Why Work With Us
We focus exclusively on cloud infrastructure (AWS, Azure and GCP), so our recommendations are deep, current and specific to your workload.
13Case Studies
A look at how we've built, secured and operated cloud infrastructure for clients across industries.
Standing management of a KYC company's ECS infrastructure: CI/CD security alerting, incident response, cost control, and log and secrets management, run as an ongoing operations engagement.
A new client's AWS environment had a security group open to the internet and a compromised instance driving up cost. We closed the exposure, fixed the misconfiguration behind it, and brought cost back down.
A mid-sized NBFC had no existing cloud footprint. We designed and stood up their entire AWS environment (compute, database, content delivery, cost controls and security) as one connected build.
Built a retrieval-augmented chatbot on AWS Bedrock so employees could ask plain-language questions about internal company policy instead of searching through documents.
14FAQ
We work across AWS, Azure and GCP, covering compute, containers, serverless, managed databases, object storage, networking, identity and monitoring on each platform, along with DevOps tooling like Docker, Jenkins and Kubernetes.
Both. Engagements range from a first production deployment for an early-stage startup to ongoing platform operations for established businesses with existing cloud environments.
We follow the same structured process for every engagement: assess your current environment and requirements, architect a target design, build and deploy it, implement security and monitoring, and then continuously optimize. See "How We Work" above for the full breakdown.
Yes. We regularly step into existing AWS, Azure or GCP accounts, reviewing the current architecture, security posture and cost profile before proposing changes, rather than assuming a rebuild is required.
It starts with a review of your current usage and billing, then covers rightsizing compute, applying storage lifecycle policies, cleaning up unused resources, and evaluating commitment discounts or reserved capacity where they make sense for your usage pattern.
Yes. Beyond initial architecture and deployment, we offer ongoing monitoring, operational support, backup management and ongoing cost and performance optimization.
We design the technical controls those frameworks require, including access management, encryption, network segmentation, audit logging and retention policies, into the architecture itself. We are not a certifying or auditing body, so formal certification or attestation is a separate process handled with your compliance and legal team; we build the infrastructure to be ready for it.
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Let's design a cloud environment on AWS, Azure or GCP that is secure, scalable, reliable and cost-effective.
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