You will get GitHub Actions: Semantic Versioning, Auto-Tagging & Release Automation
Project details
Production-ready GitHub Actions reusable workflow that fully automates semantic versioning, tagging, changelog generation, release notes, and GitHub Release publishing. Built using Semantic Versioning (SemVer) principles — MAJOR for breaking changes, MINOR for new features, and PATCH for fixes.
Features included:
✅ Auto semantic version tag generation & push
✅ Commit-based or PR-title-based versioning strategies
✅ Smart skip logic for docs/chore/ci/refactor/test changes
✅ Automated GitHub Release creation with structured release notes
✅ CHANGELOG.md auto-update with latest release entries
✅ Repository-level custom property gate for admin control
✅ Supports any branch: main, develop, release/*, or custom
✅ Manual workflow_dispatch trigger support
✅ Reusable workflow + caller workflow template included
Ideal for DevOps teams, SaaS products, CI/CD pipelines, and developers who want clean, scalable, and zero-effort release automation directly inside GitHub.
Features included:
✅ Auto semantic version tag generation & push
✅ Commit-based or PR-title-based versioning strategies
✅ Smart skip logic for docs/chore/ci/refactor/test changes
✅ Automated GitHub Release creation with structured release notes
✅ CHANGELOG.md auto-update with latest release entries
✅ Repository-level custom property gate for admin control
✅ Supports any branch: main, develop, release/*, or custom
✅ Manual workflow_dispatch trigger support
✅ Reusable workflow + caller workflow template included
Ideal for DevOps teams, SaaS products, CI/CD pipelines, and developers who want clean, scalable, and zero-effort release automation directly inside GitHub.
Coding Expertise
Performance Optimization, Security, DesignWhat's included $300
These options are included with the project scope.
$300
- Delivery Time 3 days
- Number of Revisions 0
- Install Script
- Test Script
- Task Automation
About Akash
DevSecOps & DevOps Architect |AWS, Azure, K8s, AIOps, AgenticAI
Pune, India - 6:23 am local time
𝗖𝗜/𝗖𝗗 𝗮𝗻𝗱 𝗜𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲 𝗮𝘀 𝗖𝗼𝗱𝗲:
- CI/CD pipelines: GitHub Actions, Azure DevOps YAML, Jenkins, GitLab CI, ArgoCD, CircleCI
- IaC: Terraform, Bicep, ARM Templates, AWS CloudFormation, Packer, Pulumi
- Config management: Ansible, Chef, Shell, PowerShell, Bash, Groovy
- Version control: GitHub Enterprise, EMU migration, branching strategies (trunk-based, GitFlow, release-train)
- Semantic Versioning (SemVer), automated release notes, deployment reporting
- Artifact management: JFrog Artifactory, Nexus, Azure Artifacts, Amazon ECR
𝗔𝗪𝗦 𝘀𝘁𝗮𝗰𝗸:
EKS, ECS, EC2, Lambda, S3, CloudFront, RDS, DynamoDB, IAM, VPC, Route 53, CloudWatch, CodePipeline, CodeBuild, CodeDeploy, ECR, Systems Manager, Secrets Manager, EventBridge, SQS, SNS, API Gateway, CloudFormation
𝗔𝗪𝗦 𝗔𝗜 𝘀𝗲𝗿𝘃𝗶𝗰𝗲𝘀:
Amazon Bedrock, SageMaker, Comprehend, Textract, Rekognition, Transcribe, Translate, Personalize, Q Developer
𝗔𝘇𝘂𝗿𝗲 𝘀𝘁𝗮𝗰𝗸:
AKS, Azure DevOps Services and Server, Logic Apps, Functions, App Service, Container Registry, Key Vault, Service Bus, Application Insights, Azure Monitor, Defender for Cloud, Cosmos DB, Storage Accounts, Front Door, API Management
𝗔𝘇𝘂𝗿𝗲 𝗔𝗜 𝘀𝗲𝗿𝘃𝗶𝗰𝗲𝘀:
Azure OpenAI Service, Azure AI Foundry, AI Search, Document Intelligence, Cognitive Services, Speech, Vision, Language, ML Studio
𝗞𝘂𝗯𝗲𝗿𝗻𝗲𝘁𝗲𝘀 𝗮𝗻𝗱 𝗰𝗼𝗻𝘁𝗮𝗶𝗻𝗲𝗿𝘀:
Production AKS and EKS with HA and DR, self-managed K8s, Helm, Kustomize, ingress controllers (NGINX, Traefik), HPA and VPA, network policies, service mesh, Docker, container scanning, GitOps with ArgoCD and Flux
𝗗𝗲𝘃𝗦𝗲𝗰𝗢𝗽𝘀 𝗮𝗻𝗱 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆:
Trivy, SonarQube SAST, Veracode, Snyk, OWASP gates, secret detection, DAST, OPA policy enforcement, RBAC, Zero Trust, AWS Security Hub. Compliance work across SOC 2, HIPAA, ISO 27001, PCI-DSS, GDPR.
𝗢𝗯𝘀𝗲𝗿𝘃𝗮𝗯𝗶𝗹𝗶𝘁𝘆 𝗮𝗻𝗱 𝗔𝗜𝗢𝗽𝘀:
Prometheus, Grafana, Kibana, ELK stack, Zabbix, Azure Monitor, CloudWatch, Application Insights. AI-enhanced alert correlation, automated incident triage, MTTR cuts across production fleets.
𝗧𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝗶𝗲𝘀 𝗮𝗻𝗱 𝗧𝗼𝗼𝗹𝘀:
Python, Node.js, React, REST APIs, Shell Scripting, PowerShell, Groovy, JFrog Artifactory, Zabbix, Backstage, n8n
𝗪𝗵𝗮𝘁 𝘀𝗲𝘁𝘀 𝗺𝘆 𝘄𝗼𝗿𝗸 𝗮𝗽𝗮𝗿𝘁 - 𝗔𝗜-𝗮𝘂𝗴𝗺𝗲𝗻𝘁𝗲𝗱 𝗗𝗲𝘃𝗢𝗽𝘀:
I build platforms where engineers describe infrastructure in plain English and the system provisions it. Built on Azure OpenAI GPT-4o, MCP servers, Azure AI Foundry, GitHub Copilot at scale, and multi-agent orchestration. Few DevOps freelancers can deliver this end-to-end. If your team is exploring AI-powered internal developer platforms, agentic AIOps, natural-language IaC, or Copilot enterprise rollout, this is my lane.
𝗖𝗼𝗺𝗺𝗼𝗻 𝗲𝗻𝗴𝗮𝗴𝗲𝗺𝗲𝗻𝘁𝘀:
- Greenfield CI/CD design and build on AWS or Azure
- AKS or EKS production hardening with HA, DR, full observability
- Cloud cost audit and rightsizing (payback inside the first month)
- DevSecOps gate integration into existing pipelines
- GitHub Enterprise EMU migration and branching strategy reset
- Agentic AI platform on internal infra (Backstage + MCP + Azure OpenAI)
- Embedded DevOps lead for release management and on-call
𝗥𝗲𝗰𝗲𝗻𝘁 𝗲𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲 𝘄𝗼𝗿𝗸:
- Built end-to-end CI/CD for PLM (Windchill) from zero. Owned full release management. Cut deploy time from hours to under 15 minutes.
- Architected Jenkins master-slave CI/CD, Docker, Ansible IaC across multiple engagements.
- .NET app modernization, Azure golden images with Packer, Logic Apps automation, DR and HA strategy.
𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀:
- AZ-400 Azure DevOps Engineer Expert
- AZ-104 Azure Administrator
- AZ-900 Azure Fundamentals
- Certified Kubernetes Administrator (CKA)
- HashiCorp Terraform Associate
- GitHub Copilot Certified
- AWS AI Certified
𝗪𝗼𝗿𝗸𝘀𝗵𝗼𝗽𝘀 𝗮𝗻𝗱 𝘁𝗿𝗮𝗶𝗻𝗶𝗻𝗴:
- GitHub Copilot Training Provider
- Claude AI and AI Productivity Workshops
- DevOps and Secure CI/CD Workshops
- Kubernetes and Cloud Automation Training
- GitHub Actions and Azure DevOps Hands-on Sessions
𝗜𝗻𝗱𝘂𝘀𝘁𝗿𝗶𝗲𝘀 𝗜 𝘀𝗲𝗿𝘃𝗲:
SaaS, FinTech, Healthcare, E-commerce, Manufacturing, Enterprise IT.
𝗛𝗼𝘄 𝗜 𝘄𝗼𝗿𝗸:
- Clear written scope and timeline before any code is written
- Daily progress updates, no disappearing acts
- Every pipeline and module documented so your team can operate it without me
- Staging-first deployments. You approve. Then production.
- Automation-first. If I do something twice, it gets a script.
- Security and observability baked in from day one.
Send your cloud stack + top bottleneck. I’ll send the plan today.
Steps for completing your project
After purchasing the project, send requirements so Akash can start the project.
Delivery time starts when Akash receives requirements from you.
Akash works on your project following the steps below.
Revisions may occur after the delivery date.
Overview of current release notes management
Need to review the current implementation and status of versioning, commit conventions, semantic versioning (SemVer), and branching strategy.