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1.     IaC Implementation with Terraform:

• To standardize and automate infrastructure deployment, we recommend the adoption of Terraform. This tool enables the creation, modification, and versioning of infrastructure resources through declarative configuration files. By codifying infrastructure, Client Coal Indiacan efficiently provision and manage their AWS resources, ensuring consistency and reducing manual errors

2.     CI/CD Pipeline Integration:

• We the establishment of a robust CI/CD pipeline to streamline the delivery of infrastructure changes. This pipeline enforces rigorous quality,security, and policy checks on any modifications, ensuring that only validated changes are deployed to production. Leveraging industry standard CI/CD practices, such as automated testing and deployment, Client Coal India canachieve rapid, reliable, and risk-free delivery of infrastructure changes.

3.  Automated AMI Creation:

• To optimize the management of applicationdeployment, we recommend automating the creation of Amazon Machine Images(AMIs) for all 30 applications constituting the website. By automating this process, Client Coal India eliminates manual intervention, reduces deployment time, and ensures consistency across application environments. This automation is facilitated through scripting and tooling, seamlessly integrating with the CI/CD pipeline for streamlined deployment workflows.

4.   Auto Scaling with Golden AMIs:

• To To enhance scalability and availability, we propose implementing autoscaling using "Golden AMIs." By leveraging dynamically scalable Amazon EC2 instances based on preconfigured Golden AMIs,Client Coal India can efficiently manage workload fluctuations while maintaining consistency across instances. Autoscaling configurations, coupled with dynamic scaling policies based on Amazon CloudWatch metrics like CPU Utilization, ensure proactive scaling to meet demand spikes, optimizing resource utilization and enhancing application performance.

5.   DevOps Toolchain Utilization:

• Our solution leverages a comprehensive DevOps toolchain encompassing Terraform for IaC, alongside industry standard CI/CD tools like Jenkins, GitLab CI/CD, or AWS Code Pipeline for pipeline automation. Monitoring and alerting are facilitated through Amazon CloudWatch, enabling real time visibility into infrastructure performance and health metrics.

6.   Security:

• Encryption in Transit: AWS ACM SSL certificates ensure secure data transmission between services, maintaining confidentiality during transit.

• Encryption at Rest: AWS Key Management Service (KMS) provided robust encryption for data at rest, safeguarding sensitive information within storage solutions.

• Web Application Firewall (WAF): AWS WAF bolstered web application security by filtering and monitoring HTTP traffic, protecting against common web-based threats.
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• Vulnerability Management: AWS Inspector conducted regular vulnerability scans, identifying and remediating potential security weaknesses within the infrastructure.
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• Compliance Monitoring: AWS Security Hub facilitated continuous compliance checks, ensuring adherence to industry regulations and internal security policies.
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• Threat Detection: AWS Guard Duty monitored for malicious activity and unauthorized access attempts, enhancing threat detection capabilities across the infrastructure.
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• Configuration Management: AWS Config maintained an UpToDate inventory ofAWS resources and configurations, enabling proactive monitoring and enforcement of security policies

7.   AWS EKS Deployment:

• The application was containerized and deployed on AWS EKS, leveraging Kubernetes for orchestration and management of containerized workloads. This ensures efficient resource utilization and automated scaling based on demand.

6.   Database Deployment:

• For AlignDV, we continued to use RDS (Relational Database Service) in amulti-AZ (Availability Zone) configuration for data storage. RDS ensures high availability and durability of the database, with automatic failover across multiple AZs to mitigate downtime and data loss.

6.   Security and Compliance:

• The same comprehensive security measures, including encryption,vulnerability scanning, compliance checks, and threat detection, were applied to AlignDV's AWS EKS deployment to ensure data integrity and regulatory compliance.

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1.     Configuration Stability:

• Previous State: On average, 23 issues per release were attributed to configuration disparities between production and nonproduction environments.
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• Current State: By standardizing all non-prod and prod environments through Infrastructure as Code (IaC), we have eliminated misconfiguration related production issues, achieving zero incidents.

2.     AutoScaling Efficiency:

• Previous State: The infrastructure lacked autoscaling capabilities, leading to potential performance bottlenecks during peak loads.
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• Current State: We have implemented autoscaling with dynamic scaling policies based on Amazon CloudWatch CPU Utilization metric, optimizing resource allocation. This proactive approach has significantly improved application performance and availability.

3.  Cost Optimization:

• Previous State: Cloud spend was inefficient due to static provisioning, resulting in underutilized resources and unnecessary costs.
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• Current State: By leveraging autoscaling capabilities, the infrastructure dynamically allocates compute resources based on customer demand. This optimization strategy has led to a remarkable reduction of cloud spend by 200K per month,demonstrating tangible cost savings while maintaining performance.

4.   Continued Standardization and Automation:

• Our proposed solution builds upon these metrics driven successes, offering a comprehensive approach to address Client Coal India's needs:

5.   Continued Standardization and Automation:

• Building on the success of IaC standardization, our solution ensures ongoing automation and standardization of infrastructure components. By codifying infrastructure as code, Client Coal India can consistently deploy and manage resources across environments, mitigating the risk of configuration drift and ensuring operational excellence.

6.   Enhanced Monitoring and Alerting:

• Augmenting the autoscaling capabilities, our solution emphasizes continuous monitoring and alerting using Amazon CloudWatch. Real time visibility into key performance metrics enables proactive capacity management,ensuring optimal resource utilization and preemptive action in response to potential issues, thereby enhancing overall system reliability.

7.   Continuous Optimization:

• Our solution advocates for a culture of continuous optimization, whereby infrastructure and processes are continuously reviewed and refined to align with evolving business needs and technological advancements. By fostering a culture of innovation and improvement, Client Coal India can sustainably drive efficiency gains and cost savings over time

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