Devops cicd
Python Monorepo with uv, Ruff, and Pants: Modern Tooling for Large Codebases
- Sudhir Mangla
- Python , DevOps & CI/CD
- 19 Jan, 2026
1 Python Monorepo with uv, Ruff, and Pants: Modern Tooling for Large Codebases Large Python codebases tend to break in the same ways. Dependency resolution slows down until it becomes a daily anno
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The Platform Engineering Handbook: Building Golden Paths, Service Catalogs, and Developer Portals with Backstage and Azure
- Sudhir Mangla
- DevOps & CI/CD , Azure
- 14 Nov, 2025
1 The Platform Engineering Shift: Why .NET Teams Need a Portal Modern .NET teams ship to Azure faster than ever, but the operational surface area keeps expanding. Each new microservice introduces
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Mobile CI/CD in a Day: GitHub Actions + Fastlane + App Center
- Sudhir Mangla
- DevOps & CI/CD , Mobile Development
- 21 Oct, 2025
1 Why “Mobile CI/CD in a Day” (and what changed in 2025) In simply one workday you’ll go from a code push → to build → test → sign → distribute → store-submit a mobile app. That’s the promise: **M
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Production-Ready Containers for .NET 8/9: From Distroless Images to SBOM and AOT
- Sudhir Mangla
- DevSecOps , DevOps & CI/CD
- 13 Oct, 2025
1 Problem framing and goals: production-ready .NET containers in 2025 In 2025, production-ready .NET containers mean more than just packaging your app with a Dockerfile. Teams now expect contain
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Building Production-Ready Dashboards in Python with Streamlit + DuckDB: From Raw Files to Enterprise-Grade Analytics
- Sudhir mangla
- Data Analytics , DevOps & CI/CD
- 10 Sep, 2025
1 Introduction: The Need for Speed and Simplicity in Data Apps Data is only valuable if decision-makers can interact with it quickly, confidently, and at scale. Yet most organizations still feel t
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CI/CD for Data + App Together: A Unified Framework for .NET, SQL, and Fabric with GitHub Actions
- Sudhir mangla
- DevOps & CI/CD , Software Architecture
- 03 Sep, 2025
1 Introduction: Breaking the Great Wall of DevOps The relationship between application development, database management, and data analytics has always been uneasy. Each discipline has its own prac
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