We are designated as an AWS Select Tier Partner. Partnering with AWS, CMS Computers empowers public sector organizations, including public sector undertakings, urban local bodies, state governments, and energy & utilities, to transform complex data into actionable insights. Leveraging AWS's secure and scalable infrastructure, our services delivers real-time analytics to streamline decision-making, enhance operational efficiency, and ensure compliance. This collaboration enables public sector entities to navigate challenges, optimize operations, and deliver better services cost-effectively and with greater precision, driving smarter decisions across diverse domains such as urban infrastructure management, energy efficiency, and state government initiatives.
CMS integrates with AWS to provide real-time analytics, predictive insights, and proactive monitoring—helping organizations improve business intelligence, optimize performance, and ensure scalability. By harnessing AWS’s secure, scalable infrastructure, operational agility, reduces costs, and enhances compliance. This partnership minimizes disruptions and empowers IT teams and end-users to achieve better efficiency, productivity, and outcomes, positioning organizations for success today’s data-driven world.
CMS Offers end-to-end solutions, including Infrastructure automation, Proactive maintenance, and compliance management, enabling customers to focus on core business objectives while ensuring high availability, security, and scalability. CMS has been leveraging multiple AWS services for various projects, ensuring optimized cloud infrastructure, security, scalability, and cost-effectiveness. Some key AWS services used across different projects include: Amazon EKS, Amazon ECS, Amazon RDS, AWS WAF, AWS Network Firewall, Amazon GaurdDuty and much more.
Smart Pulse, CMS's Business Intelligence tool, transforms data visualization with interactive dashboards, automating reporting and reducing manual effort. By providing real-time insights, it enhances decision-making, boosts operational efficiency, and streamlines complex data management across systems. Its real-time dashboards and interactive visualizations empower informed decision-making.
Amazon ECS will be the foundation for deploying and managing containerized applications efficiently. It allows us to run microservices and AI-driven workloads with seamless scalability. With ECS, we can automate deployments, ensure high availability, and optimize resource utilization. Its integration with AWS services like Application Load Balancer (ALB) and IAM enhances security and performance. By leveraging ECS, our applications will dynamically scale based on demand, ensuring cost-effective and reliable operation.
Amazon EKS will provide a fully managed Kubernetes environment for running containerized workloads at scale. It offers built-in auto-scaling, self-healing, and load-balancing capabilities, making it ideal for handling AI/ML pipelines, data processing, and real-time applications. EKS ensures seamless orchestration of workloads across multiple availability zones, providing resilience and efficiency. With its deep integration into AWS networking and security, we can run AI inference models and business applications with enhanced reliability and performance.
Amazon Bedrock will provide a seamless way to integrate generative AI into our applications without managing complex infrastructure. With access to powerful foundation models, we can enhance customer interactions, generate insights, and automate content creation. Bedrock enables scalable AI-powered applications, supporting high-volume processing and real-time responses. With enterprise-grade security and compliance, it allows us to build and deploy AI solutions confidently while optimizing operational efficiency.
Amazon SageMaker will power our AI and machine learning initiatives by offering an end-to-end managed platform for model development, training, and deployment. It eliminates the need to manage infrastructure, allowing us to focus on building high-quality models. SageMaker enables real-time data preprocessing, automated model tuning, and scalable inference, making AI adoption faster and more cost-efficient. By using SageMaker endpoints, we can deploy AI models securely and process real-time predictions at scale.
AWS auto-scaling can be used to smoothly handle changing workloads and intense high-traffic demands. You can thoroughly optimize performance across systems, applications and platforms through clever resource allocation and truly unmatched agility.
Each and every cost saving is completely maximized by AWS’s fully flexible pay-as-you-go model. Complete transparency allows you to choose either hourly or monthly billing; this guarantees payment is only for resources used—no hidden fees or surprises.
Keep your data and systems safe with AWS’s powerful security tools. Stay ahead of threats with smart risk management, real-time threat detection, and automated incident response. Easily control who has access to your resources with flexible identity and authorization settings, giving you peace of mind and enterprise-level protection.
The lack of proper data visualization tools posed a huge challenge. Transportation department was not able to easily identify patterns, anomalies, and trends because there were no clear and intuitive visual representations of their data. This affects their ability to make quick and effective decisions. Smart Pulse solution streamlined their data visualization and enhanced decision-making capabilities.We have Leveraged AWS Compute services such EC2 workloads and Serverless compute along with AWS Security Guardrails like AWS WAF and Network Firewall to provide a robust infrastructure.
Read moreCMS Computers successfully migrated a central government agency’s infrastructure to AWS Cloud, reducing Total Cost of Ownership (TCO) by 40% while improving scalability, security, and operational efficiency. By leveraging AWS services such as Amazon ECS for containerized workloads, EC2 with auto-scaling, RDS for managed databases, and CloudFront for cost-effective content delivery, the agency significantly cut compute, storage, and maintenance costs. Enhanced security measures, automated backups, and multi-region deployment ensured compliance and disaster recovery readiness. The transition to AWS enabled the agency to handle large-scale data processing efficiently, making operations more resilient, cost-effective, and future-ready.
Read moreThe Transportation Department encountered significant obstacles in their data management and analysis capabilities. The primary challenge was their inability to effectively visualize and interpret complex vehicle-related data across their transportation network. Without proper visualization tools, they struggled to extract meaningful insights about different vehicle categories and their corresponding revenue streams. The lack of granular analysis capabilities hindered their ability to understand detailed patterns and trends in vehicle operations and revenue generation. This data visibility gap affected their operational decision-making process, making it difficult to identify opportunities for improvement or address potential issues proactively. The absence of sophisticated analytical tools also meant that valuable data points were not being utilized to their full potential, limiting the organization's ability to make data-driven strategic decisions.
To address these challenges, we developed a comprehensive suite of custom-designed dashboards specifically tailored to meet the Transportation Department unique requirements. These sophisticated visualization tools were built with an intuitive interface that allows users to easily navigate through complex datasets. The dashboards feature multiple layers of analysis, enabling users to seamlessly transition between high-level overviews and detailed, granular insights. Key features include interactive data exploration capabilities, real-time filtering options, and customizable views that can be adjusted based on specific analytical needs. The solution incorporates advanced visualization techniques that transform raw data into meaningful insights, making it easier for stakeholders to identify trends, patterns, and anomalies. The dashboards also include drill-down capabilities, allowing users to examine specific aspects of vehicle operations and revenue generation in detail. This comprehensive solution not only streamlined their data visualization process but also significantly enhanced their ability to make informed, data-driven decisions across all levels of the organization.
The implementation of the custom dashboard solution has transformed the Transportation Department operational capabilities. Smart Pulse helped to improve the authorities decision making speed by approx.65%.The enhanced visualization tools have provided unprecedented clarity, enabling stakeholders at all levels to gain valuable insights from their data. The ability to identify and analyze trends more effectively has significantly improved decision-making processes, leading to more strategic choices. The solution has streamlined access to actionable insights, allowing staff to focus more on strategic initiatives and process improvements. This enhancement in data visibility and analysis capabilities has positioned the Transportation Department to better serve its stakeholders while maintaining operational excellence and continuous improvement in their service delivery.
The agency faced significant challenges with high on-premises costs, as maintaining physical data centers resulted in substantial capital (CapEx) and operational (OpEx) expenditures. Scalability issues further complicated operations, making it difficult to scale IT infrastructure efficiently to meet peak demand without over-provisioning resources. Additionally, ensuring security and compliance with Indian government regulations while maintaining robust data protection remained a critical concern. The agency also struggled with disaster recovery and business continuity, as traditional backup solutions proved to be both costly and inefficient. Moreover, operational inefficiencies stemming from manual infrastructure management led to increased downtime and higher maintenance overheads, impacting overall productivity.
CMS Computers, leveraging its expertise in cloud and DevOps, successfully migrated the agency’s infrastructure to AWS Cloud, optimizing performance, security, and cost efficiency. AWS Compute & Containerization services such as Amazon EC2 with Auto Scaling dynamically adjusted resources based on demand, while Amazon ECS facilitated a microservices-based architecture, enhancing deployment efficiency. Additionally, AWS Lambda reduced infrastructure management overhead by introducing serverless computing for specific workloads. To optimize storage and database performance, Amazon S3 and Amazon Glacier provided cost-effective archival storage, reducing storage costs by 60%, while Amazon RDS enabled a shift from expensive on-premise databases to fully managed PostgreSQL and MySQL solutions, cutting database maintenance costs by 40%. Amazon DynamoDB was adopted for NoSQL workloads, improving performance and scalability.
Security was reinforced with AWS WAF and AWS Shield, protecting applications from cyber threats and DDoS attacks, while AWS Network Firewall and VPC Peering ensured secure inter-departmental data exchange. AWS IAM implemented role-based access control (RBAC) for secure operations. To enhance cost optimization, AWS Savings Plans and Reserved Instances reduced compute costs by 45%, while AWS Cost Explorer and AWS Budgets enabled real-time tracking of cloud expenditures, cutting cost overruns by 30%. Amazon CloudFront further lowered bandwidth costs while improving content delivery efficiency.
For disaster recovery and business continuity, AWS Backup and AWS Disaster Recovery (DRS) provided automated backup solutions with a Recovery Time Objective (RTO) of under 10 minutes, ensuring multi-region deployment for high availability and resilience. Lastly, monitoring and automation were streamlined with Amazon CloudWatch and AWS X-Ray, providing real-time performance monitoring, while AWS CloudFormation and AWS Systems Manager automated infrastructure provisioning, reducing deployment time by 50%. This comprehensive migration empowered the agency with a scalable, secure, and cost-efficient cloud infrastructure, driving operational excellence and future readiness.
By leveraging AWS Cloud, CMS Computers enabled the Indian central government agency to achieve a 40% reduction in total cost of ownership (TCO), with substantial savings across compute, storage, and database costs. The implementation of auto-scaling and containerized deployment ensured seamless scalability during peak demand, while robust security and compliance measures ensured full adherence to government data security regulations. Operational efficiency was significantly improved through automated workflows, reducing manual interventions and enhancing productivity. Additionally, the agency achieved reliable disaster recovery, with automated backups and multi-region failover, ensuring near-zero data loss. This cloud transformation has not only optimized costs but also enhanced performance, security, and scalability, positioning the agency for future digital expansion with cost-effective and resilient operations.