antonputra/tutorials

DevOps Tutorials

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Summary Information

Updated 1 minute ago
Added to GitGenius on September 14th, 2026
Created on November 28th, 2020
Open Issues & Pull Requests: 45 (+0)
GitHub issues: Enabled
Number of forks: 3,111
Total Stargazers: 4,692 (+0)
Total Subscribers: 112 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 6.4 hours
Mean response time: 9.7 days
90th percentile: 21.5 days
Tracked items: 46

Most active contributors

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How this project is maintained

93% of open issues come from outside the core team, so the backlog reflects real-world use rather than internal planning. Three people close 60% of everything that gets resolved.

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Issue Activity (beta)

Open issues: 40
New in 7 days: 0
Closed in 7 days: 0
Avg open age: 544 days
Stale 30+ days: 38
Stale 90+ days: 38

Recent activity

Opened in 7 days: 0
Closed in 7 days: 0
Comments in 7 days: 0
Events in 7 days: 0

Top labels

  • proposal (9)
  • improvement (7)
  • node (2)
  • rust (2)
  • caddy (1)
  • mongodb (1)
  • mysql (1)
  • postgresql (1)

Most active issues this week

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Detailed Description

Tutorials is a collection of DevOps instructional materials and infrastructure-as-code examples covering cloud platforms and container orchestration.

The repository serves as a companion to video tutorials that teach DevOps practices across multiple domains. It contains practical examples and code samples for implementing infrastructure using tools like Terraform, Ansible, and Packer, with coverage of AWS and GCP cloud platforms, Kubernetes orchestration, serverless architectures, and related SRE concepts. The approach is learning-by-example, with organized playlists covering full courses on specific topics such as Terraform on AWS, AWS EKS Kubernetes, Argo CD, and general Kubernetes tutorials.

This resource suits developers and infrastructure engineers building their DevOps skills through hands-on examples rather than theoretical documentation alone. It works best for those who learn effectively from video instruction paired with working code, and who are specifically interested in AWS or GCP deployments with Kubernetes. The repository does not position itself against alternatives; it functions as supplementary material to video content rather than as a standalone tool or framework.

The project maintains active engagement with its audience through multiple communication channels including social media and direct email contact. The repository includes consulting and mentorship offerings, indicating ongoing involvement with the material and community. Code examples are written primarily in HCL, reflecting a focus on infrastructure-as-code patterns.