Explore Skillzmist DevOps and cloud project case studies: Kubernetes, AWS, Terraform, CI/CD, automation, and production engineering outcomes.
Skillzmist publishes 47 DevOps and cloud project case studies covering AWS, Kubernetes, Terraform, CI/CD, and automation—with architecture, implementation, and technology-specific FAQs for global teams.
Skillzmist project case studies document real-world AWS, Kubernetes, Terraform, and CI/CD implementations with architecture notes, stack details, and lessons learned.
Browse the static grid below or use optional filters when JavaScript is enabled. Every card links to a full case study page.
Entity: Skillzmist · Publisher: Skillzmist · Author: Farman Ali
Organization: Skillzmist
47 production case studies — AWS, Kubernetes, Terraform, CI/CD, and automation.
Automates generation and publishing of AI-generated DevOps case studies using n8n, OpenAI/Gemini, Slack approval buttons, and GitHub commits to trigger Vercel deploys.
Migrate Jenkins build agents from EC2 to Kubernetes using the Kubernetes plugin so every pipeline stage runs in a short‑lived pod.
Provision dev/stage/prod on ECS Fargate via Terraform and ship changes automatically with branch‑based GitHub Actions.
Stream CloudWatch Logs to Datadog using a Lambda (forwarder) with retries, buffering, and DLQ.
Auto-generate ad thumbnails with Zapier triggers, Lambda image processing, and Airtable for metadata.
Send formatted Slack notifications for pipeline success/failure using GitHub webhooks, n8n processing, and the Slack API for rich messages and links to builds.
Automatically trigger site redeploys on content or code pushes by calling Vercel/Netlify APIs and notify Slack with an optional AI summary of commit messages. Orchestrated using n8n workflows to handle webhooks, API calls, and retries.
Daily scheduled report that queries AWS EC2, ECS, and RDS to summarize instance status and resource usage, then posts the formatted report to Slack or email.
On CloudWatch alarms, send webhook payloads to an n8n workflow that queries OpenAI/Gemini to summarize the root cause and propose remediation; results posted to Slack or created as Jira issues.
Generate AI summaries and code review suggestions for pull requests by fetching diffs via the GitHub API and using OpenAI to produce comments posted to Slack or the PR thread. The flow can be implemented with n8n to fetch diffs, call the AI, and post results.
When CI fails, automatically create Jira or GitHub issues attaching logs and metadata so teams can triage failures faster. Implemented with n8n to parse webhooks, extract logs, and create issues programmatically.
Automatically apply standardized tags (owner, env, cost_center) to new AWS resources via EventBridge webhooks and an n8n workflow calling the AWS API for cost tracking and governance.
End-to-end AWS CodePipeline with secure secrets, blue/green ECS Fargate deploys behind an ALB.
Containerize Laravel, push to ECR, and deploy to ECS Fargate with multi-env GitHub Actions.
Build pipelines for Django & Vue, provision infra with Terraform, deploy on ECS/ECR.
Host static apps via S3/CloudFront, manage RDS backends, and automate domains with Route 53 and Terraform.
Use AWS Textract for OCR and generate PDFs in a Lambda workflow with S3 triggers.
Deploy on EC2 with ASGs and ALB; manage DNS via Route 53 with Terraform.
Process and aggregate JSON files dropped into S3 using event-driven Lambdas with DLQ.
HA EKS cluster with kube-prometheus-stack and bespoke dashboards.
Containerize services and orchestrate with Compose; automate builds and deploys with Jenkins.
Design async-first serverless APIs with SQS fan-out and DLQs for resilience.
Dev/Stage/Prod via Terraform workspaces and branch rules; automatic promotions with GHA.
Build production-ready Kubernetes clusters on AWS EKS using Terraform with auto-scaling, security groups, and RBAC configuration.
Build a complete CI/CD pipeline using GitHub Actions to deploy containerized applications to AWS ECS with blue-green deployments.
Set up comprehensive monitoring for Kubernetes clusters using Prometheus, Grafana, and AlertManager with custom dashboards.
Build scalable serverless applications using AWS Lambda, API Gateway, and DynamoDB with proper error handling and monitoring.
Optimize Docker images using multi-stage builds, reduce image size by 80%, and implement security best practices.
Master Terraform state management with S3 backends, state locking with DynamoDB, and team collaboration workflows.
Design secure AWS VPC architectures with public/private subnets, NAT gateways, and security groups for enterprise applications.
Implement GitLab CI/CD pipelines with automatic testing, building, and deployment to Kubernetes clusters.
Build serverless APIs with AWS Lambda, Python, and RDS PostgreSQL including connection pooling and error handling.
Automate server provisioning and configuration management using Ansible playbooks with best practices and security.
Deploy Redis clusters with master-slave replication, sentinel monitoring, and automatic failover mechanisms.
Deep dive comparison of AWS CloudFormation and Terraform with practical examples and migration strategies.
Implement secure secrets management in Kubernetes using External Secrets Operator with AWS Secrets Manager.
Create sophisticated Jenkins pipelines using Groovy scripting with parallel execution, error handling, and notifications.
Configure AWS Auto Scaling Groups with Application Load Balancers for high availability and cost optimization.
Build and orchestrate microservices architecture using Docker Compose with NGINX reverse proxy and service discovery.
Deploy static websites with AWS S3 and CloudFront CDN including custom domains, SSL certificates, and caching strategies.
Implement automatic scaling for Kubernetes applications using HPA with custom metrics and resource optimization.
Configure AWS RDS for high availability with Multi-AZ deployments and read replicas for performance optimization.
Package and deploy Kubernetes applications using Helm charts with templating, values, and dependency management.
Master AWS IAM with custom policies, roles, and security best practices for enterprise-grade access management.
Set up centralized logging with Elasticsearch, Logstash, and Kibana (ELK Stack) for application monitoring.
Optimize AWS Lambda functions to reduce cold start times using provisioned concurrency and performance tuning.
Implement network security in Kubernetes using Network Policies, Pod Security Standards, and security contexts.
Automates generation and publishing of AI-generated DevOps case studies using n8n, OpenAI/Gemini, Slack approval buttons, and GitHub commits to trigger Vercel deploys.
This Intermediate Skillzmist case study (20 min) implements: n8n, OpenAI, Gemini, Slack, GitHub, Automation, ngrok, Vercel. Automates generation and publishing of AI-generated DevOps case studies using n8n, OpenAI/Gemini, Slack approval buttons, and GitHub commits to trigger Vercel deploys.
Migrate Jenkins build agents from EC2 to Kubernetes using the Kubernetes plugin so every pipeline stage runs in a short‑lived pod.
This Intermediate Skillzmist case study (20 min) implements: Jenkins, Kubernetes, EKS, Ephemeral, CI/CD. Migrate Jenkins build agents from EC2 to Kubernetes using the Kubernetes plugin so every pipeline stage runs in a short‑lived pod.
Provision dev/stage/prod on ECS Fargate via Terraform and ship changes automatically with branch‑based GitHub Actions.
This Intermediate Skillzmist case study (20 min) implements: AWS, ECS, Fargate, Terraform, GitHub Actions. Provision dev/stage/prod on ECS Fargate via Terraform and ship changes automatically with branch‑based GitHub Actions.
Stream CloudWatch Logs to Datadog using a Lambda (forwarder) with retries, buffering, and DLQ.
This Intermediate Skillzmist case study (20 min) implements: AWS, CloudWatch, Datadog, Lambda, Python. Stream CloudWatch Logs to Datadog using a Lambda (forwarder) with retries, buffering, and DLQ.
Auto-generate ad thumbnails with Zapier triggers, Lambda image processing, and Airtable for metadata.
This Intermediate Skillzmist case study (20 min) implements: Automation, Facebook Ads, Zapier, Lambda, Airtable. Auto-generate ad thumbnails with Zapier triggers, Lambda image processing, and Airtable for metadata.
Send formatted Slack notifications for pipeline success/failure using GitHub webhooks, n8n processing, and the Slack API for rich messages and links to builds.
This Intermediate Skillzmist case study (20 min) implements: GitHub, n8n, Slack, Webhooks, CI/CD. Send formatted Slack notifications for pipeline success/failure using GitHub webhooks, n8n processing, and the Slack API for rich messages and links to builds.
Automatically trigger site redeploys on content or code pushes by calling Vercel/Netlify APIs and notify Slack with an optional AI summary of commit messages. Orchestrated using n8n workflows to handle webhooks, API calls, and retries.
This Intermediate Skillzmist case study (20 min) implements: GitHub, Vercel, Netlify, CI/CD, Automation, n8n. Automatically trigger site redeploys on content or code pushes by calling Vercel/Netlify APIs and notify Slack with an optional AI summary of commit messages. Orchestrated using n8n workflows to handle webhooks, API calls, and retries.
Daily scheduled report that queries AWS EC2, ECS, and RDS to summarize instance status and resource usage, then posts the formatted report to Slack or email.
This Intermediate Skillzmist case study (20 min) implements: AWS, EC2, ECS, RDS, n8n, Monitoring. Daily scheduled report that queries AWS EC2, ECS, and RDS to summarize instance status and resource usage, then posts the formatted report to Slack or email.
On CloudWatch alarms, send webhook payloads to an n8n workflow that queries OpenAI/Gemini to summarize the root cause and propose remediation; results posted to Slack or created as Jira issues.
This Intermediate Skillzmist case study (20 min) implements: CloudWatch, n8n, OpenAI, Slack, Jira, Automation. On CloudWatch alarms, send webhook payloads to an n8n workflow that queries OpenAI/Gemini to summarize the root cause and propose remediation; results posted to Slack or created as Jira issues.
Generate AI summaries and code review suggestions for pull requests by fetching diffs via the GitHub API and using OpenAI to produce comments posted to Slack or the PR thread. The flow can be implemented with n8n to fetch diffs, call the AI, and post results.
This Intermediate Skillzmist case study (20 min) implements: GitHub, OpenAI, Slack, Automation, n8n. Generate AI summaries and code review suggestions for pull requests by fetching diffs via the GitHub API and using OpenAI to produce comments posted to Slack or the PR thread. The flow can be implemented with n8n to fetch diffs, call the AI, and post results.