- \n
- Multi-Region GitLab Runner Architecture.<\/li>\n\n\n\n
- CI\/CD Pipeline Flow Using GitLab & AWS.<\/li>\n<\/ol>\n\n\n\n
Multi-Region GitLab Runner Architecture (High Availability)<\/h2>\n\n\n\n
To ensure high availability and regional redundancy, GitLab Runners are deployed using Terraform<\/strong> across two AWS regions (
us-east-1<\/code> andus-west-2<\/code>). Here’s how it works:<\/p>\n\n\n\n\ud83d\udd0d Key Features:<\/h3>\n\n\n\n
- \n
- Terraform-Based Provisioning<\/strong>
Infrastructure is fully automated using Terraform, enabling reproducible and version-controlled deployments.<\/li>\n\n\n\n- Auto Scaling Groups (ASGs)<\/strong>
Each AWS region has an ASG to automatically scale GitLab Runner EC2 instances based on job load and usage.<\/li>\n\n\n\n- Lifecycle Hooks<\/strong>
Lifecycle hooks ensure clean deregistration of runners before instances are terminated, preventing job interruption.<\/li>\n\n\n\n- Regional Redundancy<\/strong>
Runners are deployed in multiple AWS regions (e.g.,us-east-1<\/code>,us-west-2<\/code>) to ensure high availability and fault isolation.<\/li>\n\n\n\n- IAM Role Isolation<\/strong>
EC2 instances use a dedicated IAM role (GitlabRunnerRole<\/code>) with least-privilege access to necessary AWS services.<\/li>\n\n\n\n- Security Groups<\/strong>
Instances are secured using AWS Security Groups, allowing only essential inbound\/outbound traffic such as GitLab job execution and Docker image pulls.<\/li>\n\n\n\n- Networking (VPC & Subnets)<\/strong>
Runners are deployed within private subnets of a VPC, ensuring network isolation. NAT Gateways or VPC endpoints enable outbound internet access while restricting direct public exposure.<\/li>\n<\/ul>\n\n\n\nThis setup supports GitLab Projects A, B, and C, enabling job distribution and high throughput builds across multiple teams.<\/p>\n\n\n\n
![\"\"](\"https:\/\/infivit.com\/blog\/wp-content\/uploads\/Untitled-Diagram.drawio.png\")
<\/figure>\n\n\n\n
\n\n\n\nGitLab CI\/CD Pipeline Overview<\/h2>\n\n\n\n
This diagram illustrates the full CI\/CD flow triggered by GitLab and managed through custom runners:<\/p>\n\n\n\n
![\"\"](\"https:\/\/infivit.com\/blog\/wp-content\/uploads\/circle-ci_gitlab.drawio-2-1024x488.png\")
<\/figure>\n\n\n\n\ud83d\udee0\ufe0f Flow Breakdown:<\/h3>\n\n\n\n
- \n
- Code Push & Pipeline Trigger<\/strong>
Developers push code to GitLab, which triggers the.gitlab-ci.yml<\/code> pipeline.<\/li>\n\n\n\n- CI Pipeline Stages<\/strong>
The pipeline is broken into stages: Preparation \u2192 Build \u2192 Test<\/strong>.<\/li>\n\n\n\n- Runner Execution<\/strong>
Jobs are executed on shared or specific GitLab Runners using Docker Executors<\/strong>.<\/li>\n\n\n\n- Job Components<\/strong>\n
- \n
- Templates<\/strong>: Predefined or custom
.yml<\/code> templates define job structure.<\/li>\n\n\n\n- Artifacts<\/strong>: Build\/test outputs are stored and passed between jobs.<\/li>\n\n\n\n
- Variables<\/strong>: Global environment variables and secrets are securely injected.<\/li>\n\n\n\n
- Docker Containers<\/strong>: Jobs run inside clean, isolated containers.<\/li>\n<\/ul>\n<\/li>\n\n\n\n
- Deployment to AWS<\/strong>
After successful builds and tests, code is deployed to AWS.<\/li>\n\n\n\n- Monitoring & Notifications<\/strong>\n
- \n
- CloudWatch and Audit Logs<\/strong> monitor pipeline and infrastructure health.<\/li>\n\n\n\n
- Slack\/Email<\/strong> notifications inform developers of pipeline status.<\/li>\n<\/ul>\n<\/li>\n<\/ol>\n\n\n\n
\n\n\n\n\ud83d\udd10 GitLab Security Templates<\/h3>\n\n\n\n
- \n
Security\/SAST<\/code><\/strong> \u2013 Scans your source code for security vulnerabilities during development.<\/li>\n\n\n\nSecurity\/DAST<\/code><\/strong> \u2013 Tests your running application for runtime security issues.<\/li>\n\n\n\nDependency-Scanning<\/code><\/strong> \u2013 Identifies known vulnerabilities in third-party libraries and packages.<\/li>\n\n\n\nContainer-Scanning<\/code><\/strong> \u2013 Analyzes Docker images for OS-level security flaws.<\/li>\n\n\n\nSecret-Detection<\/code><\/strong> \u2013 Detects accidentally committed secrets like API keys or passwords.<\/li>\n\n\n\nCoverage-Fuzzing<\/code><\/strong> \u2013 Sends unexpected inputs to find bugs and crash conditions in your code.<\/li>\n<\/ul>\n\n\n\n![\"\"](\"https:\/\/infivit.com\/blog\/wp-content\/uploads\/Screenshot-2025-07-08-at-2.31.14\u202fPM-1024x419.png\")
<\/figure>\n\n\n\n
\n\n\n\n\u2705 Benefits of This Solution<\/h2>\n\n\n\n
- \n
- Highly Available<\/strong>: Cross-region runners avoid single points of failure.<\/li>\n\n\n\n
- Scalable<\/strong>: Auto-scaling runners handle varying workloads dynamically.<\/li>\n\n\n\n
- Secure & Isolated<\/strong>: Each job runs in containers with limited IAM roles.<\/li>\n\n\n\n
- End-to-End Visibility<\/strong>: Logs, metrics, and alerts offer full transparency.<\/li>\n\n\n\n
- Developer Friendly<\/strong>: Fully automated with reusable templates and fast feedback loops.<\/li>\n<\/ul>\n\n\n\n
\n","protected":false},"excerpt":{"rendered":"Modern software development demands fast, scalable, and fault-tolerant CI\/CD pipelines. To meet these needs, we\u2019ve architected a GitLab CI\/CD solution that combines custom GitLab Runners across multiple AWS regions with robust monitoring and deployment workflows. This article walks through two core components: Multi-Region GitLab Runner Architecture (High Availability) To ensure high availability and regional redundancy, … Read more<\/a><\/p>\n","protected":false},"author":7,"featured_media":335,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[14],"tags":[22,5,27,29,18,30,28,4,25],"class_list":["post-220","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ci-cd","tag-aws","tag-cloudsecurity","tag-gitlab","tag-gitlab-runner","tag-gitops","tag-ha","tag-multiregion","tag-security","tag-terraform"],"_links":{"self":[{"href":"https:\/\/infivit.com\/blog\/wp-json\/wp\/v2\/posts\/220","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/infivit.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/infivit.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/infivit.com\/blog\/wp-json\/wp\/v2\/users\/7"}],"replies":[{"embeddable":true,"href":"https:\/\/infivit.com\/blog\/wp-json\/wp\/v2\/comments?post=220"}],"version-history":[{"count":3,"href":"https:\/\/infivit.com\/blog\/wp-json\/wp\/v2\/posts\/220\/revisions"}],"predecessor-version":[{"id":336,"href":"https:\/\/infivit.com\/blog\/wp-json\/wp\/v2\/posts\/220\/revisions\/336"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/infivit.com\/blog\/wp-json\/wp\/v2\/media\/335"}],"wp:attachment":[{"href":"https:\/\/infivit.com\/blog\/wp-json\/wp\/v2\/media?parent=220"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/infivit.com\/blog\/wp-json\/wp\/v2\/categories?post=220"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/infivit.com\/blog\/wp-json\/wp\/v2\/tags?post=220"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
- Scalable<\/strong>: Auto-scaling runners handle varying workloads dynamically.<\/li>\n\n\n\n
- Slack\/Email<\/strong> notifications inform developers of pipeline status.<\/li>\n<\/ul>\n<\/li>\n<\/ol>\n\n\n\n
- Artifacts<\/strong>: Build\/test outputs are stored and passed between jobs.<\/li>\n\n\n\n
- CI Pipeline Stages<\/strong>
- Auto Scaling Groups (ASGs)<\/strong>
- Terraform-Based Provisioning<\/strong>