About Customer - Adama India
ADAMA India. is one of the world’s leading crop protection companies. They understand farming is much more than just a business, it’s a way of life. They strive to Listen > Learn > Deliver. Combining their passion for agriculture and their passion to succeed is what motivates them, and their best solutions come when they take farmers input and learn from farmers experiences. With one of the most comprehensive and diversified portfolios of differentiated, high-quality products, and state-of-the art R&D, manufacturing and formulation facilities, ADAMA’s approximately 8,000 people reach farmers in over 100 countries across the globe, providing them with solutions to control weeds, insects and disease and improve their yields.
Sevatool – A primary service management and ticketing platform used by both internal teams and external clients for issue reporting, case tracking, and operational workflows
Dealer App – A mobile and web-based solution used by field dealers and service centres to manage transactions, parts inventory, customer data, and order processing
Other Business-Critical Applications – Several internal administrative tools (HR, Finance, Inventory, and Document Management) and customer-facing applications for self-service, notifications, and status tracking
Existing Solution Summary
ADAMA India is using On-prem virtual machines for their workload which includes but not limited to webservers, authentication server, databases and other application servers.
Customer Challenges
All the services were running on a Virtual machine. If the virtual machine went down or became overloaded, all services were impacted simultaneously. Scaling individual services independently was not possible. To increase capacity for one service, they had to scale the whole server, leading to resource wastage. Manual process to deploy updates, monitor logs, or restart services. No isolation one faulty service could affect the entire environment. Harder to enforce least privilege access. Multiple services sharing the same environment increased blast radius. Logs were mixed and difficult to track per service. No built-in health checks or structured metrics for service-level visibility.
Our Solution to Customer
We helped Adama to re-architect their environment using Amazon ECS (Elastic Container Service), turning their tightly coupled system into independently scalable, observable, and resilient microservices.
The services proposed includes but not limited to
- Containerization of Services
- All the services were dockerized using best practices
- Each service was made stateless wherever possible, with externalized config via environment variables and secrets
- ECS Cluster Design
- Set up a scalable and cost-effective ECS using EC2 instances for management
- Defined ECS Task Definitions and Services for each microservice with proper CPU, memory, and network configurations
- Application Load Balancer Integration
- Deployed a single ALB (Application Load Balancer) as a unified proxy layer
- Configured host-based routing to forward traffic to respective ECS services
- Service-Level Auto Scaling
Enabled ECS Service Auto Scaling policies based on:
- CPU & memory thresholds
- Request count per target (via ALB metrics)
- This ensured elastic scalability during traffic spikes without manual intervention
- Observability and Monitoring
- Integrated CloudWatch Logs and Metrics for each service
- Security Hardening
- Enforced IAM roles for tasks, ensuring services had least-privilege access
- Applied security groups and VPC subnet isolation for backend-only services
- Managed secrets using AWS Secrets Manager and passed them securely to containers
Tools, Utilities and Services
AWS Services
- VPC
- Service Autoscaling
- EC2
- EBS
- S3
- ECS
- Cloud trail
- CloudWatch
- AWS Code Pipeline
- AWS CodeBuild
- AWS ECR
- ACM
- KMS
- AWS Load Balancers
- AWS Systems Manager
Third party Services
- Docker
- GIT Hub
Outcome
- Fault tolerant, fully auto scaled micro services with high availability on AWS Cloud
- The containers are independent, and one container issues are not affecting other containers
- Able to leverage Cloud managed services for monitoring and alerting
- End to End pipeline from source code management to Code deployment on ECS services reduced manual errors
About Customer – Quantum Technologies Ltd.
Across decades, across disciplines, NCC Ltd has dedicated itself to building infrastructure of uncompromising standards. Infrastructure that is a constant reminder of the Company’s holistic construction expertise, which in turn is the result of relentless innovation and sheer dedication. Today, NCC Ltd plays a visible role in the national infrastructure stage, leaving its signature mark of quality in several key growth areas. NCC Ltd was founded in 1978. NCC became a limited company in 1990 and was listed on the National Stock Exchange in 1992. The Company today stands number two among listed construction companies in India. The company has a well-diversified business portfolio with a foothold in every segment of the construction sector with the following Business Verticals: Buildings/ Transportation/ Electrical (T&D)/ Water & Environment / Irrigation / Railways / Mining.
Smart Meter is an advanced digital device that records and transmits energy consumption data in near real-time. Unlike traditional meters, it enables two-way communication between the consumer and the utility provider.
Existing Solution Summary
NCC is using On-prem virtual machines for their workload which includes but not limited to webservers, authentication server, databases and other application servers.
Customer Challenges
Company running business application HES and MDM of internal and client-facing applications on top of On-prem hardware limited by physical capacity. Typical challenges included High upfront CapEx for servers, storage, and licenses, complex HA setup and DR setup with manual failover, multiple third-party tools for monitoring, hypervisor, expensive licenses, backup, Long procurement and approval cycles slow down project launches.
Our Solution to Customer
We helped NCC to re-architect their environment using Amazon Config. This detects non-compliant resources and helps to take corrective actions. We Integrated this with AWS Lambda to automatically fix security misconfigurations. The services proposed includes but not limited to
- Implemented Amazon Config to continuously monitor AWS resource configurations for compliance
- Integrated with AWS Lambda to auto-remediate misconfigurations, ensuring consistent enforcement of security and operational best practices
- Delivered a fully auditable trail of changes—who made what change, when, and how—for enhanced governance and incident response
- Designed a highly scalable architecture capable of ingesting and processing data from millions of smart meters.
- Enabled automatic scaling of compute and storage resources during peak loads or sudden data spikes, ensuring performance continuity
- Integrated native disaster recovery mechanisms using services like EDRS (Elastic Disaster Recovery Service)
- Fully migrated from on-premises hardware to AWS, removing the need for infrastructure maintenance and upgrades
- Reduced capital expenditures (CapEx) and shifted to an agile, pay-as-you-go operational model
- Ensured end-to-end encryption for smart meter data—both at rest and in transit—meeting compliance and privacy requirements
- Applied IAM best practices and Config rules to enforce secure resource provisioning
- Delivered low-latency access to smart meter data for real-time insights and decision-making
- Enabled seamless integration with analytics tools such as Amazon QuickSight and Amazon Redshift for business intelligence and reporting
- Deployed CloudWatch and CloudTrail for full-stack observability and traceability
Tools, Utilities and Services
AWS Services
- VPC
- Lambda
- Config
- QuickSight
- Redshift
- Cloud trail
- CloudWatch
- AWS Systems Manager
- KMS
- IAM
Outcome
- Enabled continuous monitoring and auto-remediation of non-compliant AWS resources using Amazon Config + Lambda, ensuring secure and compliant infrastructure
- Designed a highly scalable environment to handle millions of smart meter events with auto-scaling and built-in disaster recovery using AWS services
- Eliminated on-premises hardware by migrating to AWS, reducing operational overhead and enabling zero-downtime deployments of new features
- Implemented end-to-end data encryption, full change history tracking, and real-time monitoring using CloudWatch and CloudTrail
- Delivered low-latency access to smart meter data with seamless integration into Amazon QuickSight and Redshift for real-time analytics and reporting
