FireCAAT catalogue

Introduction As the global cloud computing market continues its growth trajectory, anticipated to account for 14.2% of total global enterprise IT spending by 2024, we introduce our distinguished array of Cloud IT services. Addressing the forecast by Gartner that 99% of cloud security failures through 2025 will be the customer's fault, we provide top-tier Security and Compliance solutions built around the Zero Trust model. Our expertise extends to managing intricate Container and Orchestration tasks, alongside advanced DevOps and DevSecOps services fortified with automated canary deployments and AI-powered security automation. Additionally, we specialize in AI & ML Ops, leveraging automated feature engineering, explainable AI, and real-time ML model monitoring to streamline your use of machine learning solutions. Why choose us? 1. Tailored Solutions: Services adapted to your specific business needs, offering bespoke IT resources. 2. Cost Efficiency: Pay only for what you need, minus heavy upfront investments. 3. Reliability and Resilience: High availability services bolstered by disaster recovery options. 4. Robust Security: Strong security measures to protect your data and applications. 5. Cutting-edge Technology: Access to the latest technology for a competitive edge. Embrace the digital future with our unparalleled Cloud IT services, crafted to drive your business to the forefront.

Infrastructure •Virtual Machines: ProvisioninIgnfaransdtrumctaunreagSeinrvgiceosf virtual servers for development, test, and production environments. Primary users: Developers, System Administrators. •Database Services: Managed relational and NoSQL database services for application data storage and analysis. Primary users: Developers, Data Analysts, Data Engineers. •Storage Services: Flexible cloud storage solutions for data backups, application data, and static website hosting. Primary users: Developers, System Administrators, Data Analysts.

Security 24 /7 administration of the below • Identity and Access Management (IAM): User access control service for managing permissions across cloud services. Primary users: System Administrators, Security Analysts. • Threat Detection and Response: Automated monitoring and alerting services for identifying potential security threats. Primary users: Security Analysts, System Administrators. • Encryption Services: Data encryption in transit and at rest for compliance and security. Primary users: Security Analysts, System Administrators, Developers. • Container Security : manages risks throughout the environment, including all aspects of the software supply chain or CI/CD pipeline, infrastructure, and container runtime, and lifecycle management applications that run on containers.

DevOps • Continuous Integration/Continuous Deployment (CI/CD): Automated build and deployment tools for faster software delivery. Primary users: Developers, DevOps Engineers. • Infrastructure as Code (IaC): Automated provisioning and management of cloud resources using code. Primary users: DevOps Engineers, System Administrators. • Logging and Monitoring: Cloud-based log aggregation, performance monitoring, and alerting services. • Primary users: DevOps Engineers, Developers, System Administrators.

DevSecOps • Automated Security Testing: Integrating security testing within the DevOps pipeline to identify vulnerabilities early in the development cycle. Primary users: DevOps Engineers, Security Analysts, Developers. • Security Information and Event Management (SIEM): Real-time analysis and reporting of security alerts generated by network hardware and applications. Primary users: Security Analysts, System Administrators. • Policy as Code: Defining and automating compliance policies and enforcement using code • Primary users: DevOps Engineers, Security Analysts, System Administrators.

AI/ML Ops • Data Preparation and Processing: Tools and services24/7administrationofthebelow for cleaning, transforming, and visualizing data for machine learning. Primary users: Data Scientists, Data Engineers, ML Engineers. • Model Training and Deployment: Services for training, tuning, and deploying machine learning models at scale. Primary users: ML Engineers, Data Scientists. • Model Monitoring and Management: Tools for tracking and managing model performance, retraining, and versioning. Primary users: ML Engineers, Data Scientists.

Container Services a. Container Deployment: Helps in the creation, deployment, scaling, and operations on containers. b. Container Management: Provides lifecycle management for containers, ensuring reliability and scalability. Container Orchestration a. Kubernetes: An open-source system for automating deployment, scaling, and managing containerized applications. b. OpenShift: A family of containerization software products developed by Red Hat, providing PaaS and container orchestration with Kubernetes.

Success Stories Neu Money Project Summary: AWS Cloud Architecture for a Financial Institution Introduction: This project involved the design and implementation of a secure AWS cloud architecture for a financial institution that needed to comply with the Payment Card Industry Data Security Standard (PCI DSS). The goal was to ensure the confidentiality, integrity, and availability of cardholder data while leveraging the scalability and flexibility offered by cloud computing. Project Objectives: • Secure data storage and transmission • Scalability and performance • Compliance monitoring and reporting Fintech Projects Project Summary- QA Automation for Loan Servicing Introduction: This project is involved with streamlining & compliance monitoring , reporting mechanisms which will provide real-time insights into the infrastructure's compliance status, enabling prompt remediation of any potential vulnerabilities.

Project Objectives: • Secure data storage and transmission • Scalability and performance • Compliance monitoring and reporting ONDC Project Summary: AWS Cloud Architecture for a Government Institution Introduction: This project involved the design and implementation of a secure AWS cloud architecture for a government institution that needed to comply with the Payment Card Industry Data Security Standard (PCI DSS). The goal was to ensure the confidentiality, integrity, and availability of cardholder data while leveraging the scalability and flexibility offered by cloud computing. Project Objectives: • Secure data storage and transmission • Scalability and performance • Compliance monitoring and reporting

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