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Step-by-step guide to create an autoscaled GitLab runner on AWS
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6. AWS auto-scaling group with NAT Gateway
Deployed Four servers and RDS database in the private subnet route to the NAT Gateway
Created two RDS Aurora MySQL instances in the two private subnets in two different availability zones.
Encrypted the resources which are at rest such as EBS root volume and RDS using default encryption
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5. 3-Layer Security Architecture on AWS
With continuous deployment, pipelines facilitate zero downtime deployments to QA and production setup
Continuous monitoring of failure for lambda and step functions.
Report generation at a similar level.
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4. Amazon’s Elastic Load Balancers combined with Auto Scaling Groups
That balances the traffic across multiple instances, and
Automate the creation/termination of instances across multiple Availability Zones.
Fault-tolerant because of the achieved Modularity.
×
3. Secure enterprise CI/CD pipeline controlled by Ansible playbooks
Developed Ansible playbooks with Docker Compose for the deployment of applications on Docker Servers.
Automated the deployment of the application using docker-compose and Ansible playbooks.
Helped to create charts for the deployment of that application.
×
2. Secure AWS Elastic Compute Cloud (EC2) Docker server
Standalone EC2 instance provisioned with hardened STIG compliant AMI with docker
Capable of hosting a minimum of 20 applications
×
1. Secure Docker and EKS environment
Designed AWS Architecture for the deployment of Kubernetes based environment
Deployed EKS in the environment using an automated manner.
Used Kubernetes PSPs to enforce standards for pod specification.
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