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freeCodeCamp.org

freeCodeCamp.org

US
@freecodecamp
2.0K
Video Count
931.8M
Video View
11.4M
Subscriber
#584
United States Rank
#1,970
Global Rank
2.0K
Video Count
931.8M
Video View
11.4M
Subscriber
#584
United States Rank
#1,970
Global Rank
freeCodeCamp.org YouTube channel subscribers:11,400,000- Seelive statisticsand growth insights below.
OverviewVideosOutliersStatisticsSimilar ChannelsTimelineRetention AnalyticsAbout

freeCodeCamp.org YouTube Statistics & Analytics

Subscribers
11.4M
Total Views
931.8M
Videos
2.0K
Activity
Unknown

freeCodeCamp.org Content Analysis

Content Type Distribution

Long videosLong
67%
193 videos
ShortsShorts
33%
93 videos

⚖️ This channel maintains a balanced mix of Shorts and Long videos for diverse audience engagement.

Content Categories

Primary CategoryEducation
68%
Education
195(68%)
Science & Technology
91(32%)

🎯 Primary focus: Education with 195 videos (68% of categorized content).

freeCodeCamp.org AI Channel Analysis

Gemini ProScore: 7.2/10

AI-powered insights analyzing content strategy, audience engagement, and growth potential.

Overall Score
7.2
Consistency
95%
Cadence
2-3/wk
Library
50

Growth Potential

7.5/10

Good content foundation. Increasing upload frequency could boost growth.

Audience Engagement

7.2/10

Moderate engagement levels. Focus on community interaction could improve metrics.

Content Strategy

7/10

Developing content strategy. Consider focusing on specific niches for better targeting.

AI Recommendations

Auto-prioritized by predicted impact

  1. 1
    Increase upload frequency to 2-3 videos per week
    High ImpactCadence
  2. 2
    Focus on SEO optimization for better discoverability
    High ImpactSEO
  3. 3
    Analyze top-performing content for pattern replication
    MediumStrategy
  4. 4
    Increase community engagement through comments and polls
    MediumEngagement

Latest Video

Long video
Build Your Own Kubernetes Operators with Go and Kubebuilder – Full Course
6:19:24
New

Build Your Own Kubernetes Operators with Go and Kubebuilder – Full Course

7.6K
Views
484
Likes
1 day ago
Published

In this hands-on Kubernetes Operator course, you will learn how to extend Kubernetes by building your own custom operators and controllers from scratch. You’ll go beyond simply using Kubernetes and start treating it as a Software Development Kit (SDK). You will learn how to build a real-world operator that manages AWS EC2 instances directly from Kubernetes, covering everything from the internal architecture of Informers and Caches to advanced concepts like Finalizers and Idempotency. 💻 Code & Resources: https://github.com/shkatara/kubernetes-ec2-operator Shubham: https://www.linkedin.com/in/shubhamkatara/ Saiyam: https://www.linkedin.com/in/saiyampathak Kubesimplify: https://www.youtube.com/@kubesimplify Course Curriculum & Timestamps Part 1: The Theory of Controllers - 0:00:00 Introduction & Prerequisites - 0:01:55 What is a Controller? (The Observe-Compare-Act Loop) - 0:06:45 Idempotency in Controllers - 0:07:55 Deep Dive: The Reconcile Loop (Happy Path, Sad Path, & Error Handling) - 0:19:45 The Foundation of Writing Operators - 0:23:05 What is an Operator? (The "Helper" Analogy) - 0:27:35 CRDs (Custom Resource Definitions) and CRs (Custom Resources) Part 2: Kubernetes Extensibility - 0:31:35 Kubernetes as an SDK & Extensibility - 0:34:00 Networking, Storage, & Admission Controllers - 0:35:20 Internal Developer Platforms (IDP) & Platform Engineering - 0:39:50 Bootstrapping with Kubebuilder Part 3: Setting Up the Environment - 0:41:05 Setting up the Local Environment (K3D, Docker) - 0:52:15 Introduction to the Kubebuilder Framework - 0:56:35 Project Initialization (kubebuilder init) - 1:00:30 Exploring Scaffolding (Makefiles, Dockerfiles, main.go) Part 4: Building the API & Logic - 1:04:15 Creating your first API (kubebuilder create api) - 1:06:45 Defining EC2 Instance Types & Specs in Go - 1:13:05 Understanding TypeMeta and ObjectMeta - 1:21:45 Internal Controller Logic Breakdown - 1:24:05 Deep Dive: Manager Architecture & Controller-Runtime - 1:31:05 Cert Watchers, Health Checks, & Prometheus Metrics - 1:52:55 Initializing the Manager in main.go Part 5: Hands-on Development - 2:07:35 Implementing the Reconcile Loop Logic - 2:22:35 Custom Resource Definitions (CRDs) in Action - 2:46:45 Running the Operator Locally - 3:01:45 AWS SDK Integration in Go - 3:22:55 Using Finalizers for Cleanup Logic - 3:36:55 Creating EC2 Instances on AWS via the Operator - 3:53:20 Implementing Waiters for Instance State (Running/Terminated) Part 6: Advanced Internals & Deployment - 4:13:45 Idempotency & Reconciler Loop Internals - 4:46:35 How Informers, Caches, and WorkQueues Work - 5:11:20 Handling Object Deletion & Timestamps - 5:32:05 Packaging the Operator with Helm - 5:43:05 Deploying to Kubernetes (RBAC & Service Accounts) - 6:16:20 Conclusion & Future Steps

Top 5 Videos

#1
n8n Tutorial – Zero to Hero Course

n8n Tutorial – Zero to Hero Course

39.2K
1 month ago
#2
So why should you still learn C programming in 2025 and beyond? Dr. David J. Malan has an answer.

So why should you still learn C programming in 2025 and beyond? Dr. David J. Malan has an answer.

30.1K
2 weeks ago
#3
The World's Biggest Hackathon – Full Documentary on Cal Hacks 2025

The World's Biggest Hackathon – Full Documentary on Cal Hacks 2025

28.5K
2 days ago
#4
How to split a string in Python

How to split a string in Python

27.4K
1 month ago
#5
Music Production 101 – Master Sound Design, Mixing, and Mastering in FL Studio

Music Production 101 – Master Sound Design, Mixing, and Mastering in FL Studio

23.1K
2 weeks ago

freeCodeCamp.org AI Channel Analysis

Gemini ProScore: 7.2/10

AI-powered insights analyzing content strategy, audience engagement, and growth potential.

Overall Score
7.2
Consistency
95%
Cadence
2-3/wk
Library
50

Growth Potential

7.5/10

Good content foundation. Increasing upload frequency could boost growth.

Audience Engagement

7.2/10

Moderate engagement levels. Focus on community interaction could improve metrics.

Content Strategy

7/10

Developing content strategy. Consider focusing on specific niches for better targeting.

AI Recommendations

Auto-prioritized by predicted impact

  1. 1
    Increase upload frequency to 2-3 videos per week
    High ImpactCadence
  2. 2
    Focus on SEO optimization for better discoverability
    High ImpactSEO
  3. 3
    Analyze top-performing content for pattern replication
    MediumStrategy
  4. 4
    Increase community engagement through comments and polls
    MediumEngagement

Frequently Asked Questions About freeCodeCamp.org

Data Source & Accuracy

Source: YouTube Data API v3
Accuracy: Real-time statistics from official YouTube API
Data is updated hourly and sourced directly from official APIs to ensure accuracy and reliability.

Data from YouTube Data API v3 • Updated hourly • Last updated: 02:10 PM