GOTO Conferences

GOTO Conferences

CH
@goto-
3.5K
Video Count
73.5M
Video View
1.1M
Subscriber
#54
Switzerland Rank
#52,451
Global Rank
GOTO Conferences YouTube channel subscribers:1,060,000- Seelive statisticsand growth insights below.

GOTO Conferences YouTube Statistics & Analytics

Subscribers
1.1M
Total Views
73.5M
Videos
3.5K
Activity
Unknown

GOTO Conferences Content Analysis

Content Type Distribution

Long videosLong
90%
98 videos
ShortsShorts
10%
11 videos

📽️ This channel specializes in long-form videos. Deep dives and comprehensive content perform well here.

Content Categories

Primary CategoryScience & Technology
100%
Science & Technology
109(100%)

🎯 Primary focus: Science & Technology with 109 videos (100% of categorized content).

Latest Video

Long video
State of the Art of Platform Engineering • Abby Bangser & Charles Humble • GOTO 2026
46:30
New

State of the Art of Platform Engineering • Abby Bangser & Charles Humble • GOTO 2026

401
Views
13
Likes
2 days ago
Published

This interview was recorded for GOTO State of the Art in April 2026. https://gotopia.tech Read the full transcription of this interview here: https://gotopia.tech/articles/450 Abby Bangser - Principal Engineer at Syntasso & Team Topologies Advocate @SyntassoAbby Charles Humble - Freelance Techie, Podcaster, Editor, Author & Consultant RESOURCES Abby https://bsky.app/profile/abangser.bsky.social https://twitter.com/a_bangser https://github.com/abangser https://www.linkedin.com/in/abbybangser https://www.syntasso.io/members-area/abby/profile Charles https://bsky.app/profile/charleshumble.bsky.social https://linkedin.com/in/charleshumble https://mastodon.social/@charleshumble https://conissaunce.com Links https://blog.container-solutions.com/paula-kennedy-on-platform-team-responsibilities-patterns-and-anti-patterns http://sites.libsyn.com/406853/syntasso-coo-paula-kennedy-on-platform-team-responsibilities-patterns-and-anti-patterns https://www.oreilly.com/library/view/platform-as-a/0642572243777 https://github.com/Cloud-Native-Platform-Engineering/cnpe-community/issues/79 https://www.kratix.io https://leaddev.com/ai/nobody-knows-what-programming-will-look-like-in-two-years https://leaddev.com/ai/shipping-faster-thinking-less-the-ai-code-verification-trap https://www.cncf.io/blog/2023/11/20/announcing-the-platform-engineering-maturity-model https://platformengineering.com/features/portals-and-pipelines-arent-enough-avoiding-the-platform-facade https://youtu.be/D8AxI-0L3oc https://youtu.be/IW-cPuydd5s https://youtu.be/-5kK50d-duc https://youtu.be/tWw7Eocjl-c https://youtu.be/DgsIDqkvLME https://youtu.be/gWPPnuQB4co https://youtu.be/nUoEN8zsJr0 https://youtu.be/EGSMP2UodKM https://youtu.be/SrA543HT3bA https://youtu.be/siEtKc6Sq2Y https://youtu.be/hIwVqt6qtc4 https://youtu.be/70hmVqBO1gI https://youtu.be/VhloarnpxVo https://youtu.be/0vkY2H2QDC8 https://youtu.be/-QF-MLCo_pA https://youtu.be/zOP_Dtwo1gs https://youtu.be/hBxV3Cr0lXY https://youtu.be/Th4MFWJmlsc DESCRIPTION Abby Bangser opens with a clear-eyed status report on platform engineering: the concept of centralizing shared capabilities with self-service delivery is well understood, but the execution keeps going wrong in the same way. Organizations move from DevOps to platform engineering, but their platform teams end up becoming the new bottleneck — a centralized group drowning under the weight of the entire organization's requests, which is exactly what DevOps was supposed to fix. Abby traces this to an architectural problem: too many platforms are still built as centralized Terraform machines rather than as a marketplace of composable offerings. Her "platform as a product" test is blunt and useful: has the team ever said "no" to a feature request, or deprecated something? If not, they don't have a product — they have a request queue. The AI dimension is where the conversation gets most urgent. Abby's position is direct: AI agents are the new forcing function for platform maturity. The biggest misconception she wants to dismantle is the persistent equation of platform engineering with infrastructure-as-code: renaming your Terraform team doesn't count. Platform engineering is about building an experience — for human developers and increasingly for AI agents — that is self-service, compliant, and coherent at organizational scale. The Team Topologies model of interaction modes (from high-collaboration to fully automated on-demand APIs) gives a useful health check for where a platform actually sits on that maturity curve. TIMECODES 00:00 Intro 01:53 Where does Platform Engineering stand today? 04:14 What does a mature Platform Team look like? 06:48 Platform façades & platform decay 16:42 How do AI agents change the Platform equation? 26:17 Meaning of capabilities & marketplace 41:32 Biggest misconception 44:18 What does Platform Engineering look like in 2–3 years? 45:53 Outro RECOMMENDED BOOKS Chankramath, Cheneweth, Oliver & Alvarez • Effective Platform Engineering • https://amzn.to/3OnxN8i Gregor Hohpe • Platform Strategy • https://amzn.to/4cxfYdb https://bsky.app/profile/gotocon.com https://twitter.com/GOTOcon https://www.linkedin.com/company/goto- https://www.instagram.com/goto_con https://www.facebook.com/GOTOConferences #PlatformEngineering #PlatformAsAProduct #PlatformTeams #PlatformStrategy #DevEx #DeveloperExperience #FeedbackLoops #Terraform #TodayInTech #Programming #SoftwareEngineering #TodaInTech #AbbyBangser #CharlesHumble CHANNEL MEMBERSHIP BONUS Join this channel to get early access to videos & other perks: https://www.youtube.com/channel/UCs_tLP3AiwYKwdUHpltJPuA/join Looking for a unique learning experience? Attend the next GOTO conference near you! Get your ticket at https://gotopia.tech Sign up for updates and specials at https://gotopia.tech/newsletter SUBSCRIBE TO OUR CHANNEL - new videos posted almost daily. https://www.youtube.com/user/GotoConferences/?sub_confirmation=1

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GOTO Conferences Channel Snapshot

Score: 5.3/10

A high-level snapshot of content cadence, library size, and consistency derived from this channel's recent uploads.

Overall Score
5.3
Consistency
95%
Cadence
2-3/wk
Library
50

Growth Potential

4.6/10

Library of 50 videos with ~1.1K avg views per upload. Combined size + reach signal suggests steady building.

Audience Engagement

3.9/10

Avg engagement rate of 2.31% (likes + comments / views) across 50 videos. Below the ~3% industry baseline; community-building plays could lift this.

Niche Specialization

7.4/10

59% of recent videos cluster in Knowledge. Moderate focus — could tighten the niche for more compounding.

Suggested Actions

Recommendations grouped by typical impact for channels at this stage

  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 GOTO Conferences

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: 03:19 PM