Search Results for "devops"
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Showing 4 open source projects for "devops"
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Total Network Visibility for Network Engineers and IT ManagersThis means every device on your network, and every interface on every device is automatically analyzed for performance, errors, QoS, and configuration.
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DevOps Basics
Practical and document place for DevOps toolchain
You are new to DevOps or want to learn some DevOps tools, or you are already a DevOps engineer, and you are looking for DevOps documents and a place to practice DevOps tools? This repository will assist you in enhancing your DevOps skills and serve as a bookmark for documents related to DevOps. -
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aws-devops-zero-to-hero
AWS zero to hero repo for devops engineers to learn AWS in 30 Days
aws-devops-zero-to-hero is a 30-day AWS learning roadmap aimed squarely at DevOps engineers who want both conceptual understanding and hands-on projects. The README is structured as a day-by-day syllabus, starting with “Day 1: Introduction to AWS” and moving through IAM, EC2, VPC networking, security, DNS (Route 53), storage (S3), and many other core services. -
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How They DevOps
A curated collection of publicly available resources
How They DevOps is a collection of public writeups, posts, and references that show how well-known companies actually implement DevOps practices in the real world. Instead of describing DevOps in the abstract, it points to concrete CI/CD setups, infrastructure choices, incident processes, and tooling stacks used by tech organizations. This gives learners and teams a reality check: DevOps at scale is opinionated, messy, and adapted to business constraints. ... -
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Functional, Data Science Intro To Python
[tutorial]A functional, Data Science focused introduction to Python
The first section is an intentionally brief, functional, data science-centric introduction to Python. The assumption is a someone with zero experience in programming can follow this tutorial and learn Python with the smallest amount of information possible. The sections after that, involve varying levels of difficulty and cover topics as diverse as Machine Learning, Linear Optimization, build systems, command line tools, recommendation engines, Sentiment Analysis and Cloud Computing. -
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