Tech Fusionist (Tech : Cloud, DevOps, Cybersecurity, AI & more)
Learn Quickly : https://thetechfusionist.com/ Connect for quick Roadmaps & Postsπ β https://twitter.com/techyoutbe
Show moreπ Analytical overview of Telegram channel Tech Fusionist (Tech : Cloud, DevOps, Cybersecurity, AI & more)
Channel Tech Fusionist (Tech : Cloud, DevOps, Cybersecurity, AI & more) (@learndevopsforfree) in the English language segment is an active participant. Currently, the community unites 16 133 subscribers, ranking 7 890 in the Technologies & Applications category and 25 620 in the India region.
π Audience metrics and dynamics
Since its creation on Π½Π΅Π²ΡΠ΄ΠΎΠΌΠΎ, the project has demonstrated rapid growth, gathering an audience of 16 133 subscribers.
According to the latest data from 25 August, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by -70 over the last 30 days and by -2 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 6.80%. Within the first 24 hours after publication, content typically collects 2.49% reactions from the total number of subscribers.
- Post reach: On average, each post receives 1 097 views. Within the first day, a publication typically gains 401 views.
- Reactions and interaction: The audience actively supports content: the average number of reactions per post is 1.
- Thematic interests: Content is focused on key topics such as git, branch, pipeline, commit, kubernete.
π Description and content policy
The author describes the resource as a platform for expressing subjective opinions:
βLearn Quickly : https://thetechfusionist.com/
Connect for quick Roadmaps & Postsπ
β
https://twitter.com/techyoutbeβ
Thanks to the high frequency of updates (latest data received on 26 August, 2026), the channel maintains relevance and a high level of publication reach. Analytics show that the audience actively interacts with content, making it an important point of influence in the Technologies & Applications category.
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| 01 August | +1 |
| 2 | https://www.threads.com/share/BAvKg4lZLs | 1 |
| 3 | LLM Inference Engineering: The 35-Part Visual Playbook + 10 Hands-On Projects
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| 4 | Zero Magic: AI, DevOps, & Cloud Internals (The Complete Visual Masterclass)
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https://ift.tt/4r0AEtZ | 1 474 |
| 5 | Just created a new visual guide: AI + DevOps + Cloud Internals
> 15 systems
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here is the pdf copy of this guide:
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Follow on X: https://x.com/techyoutbe | 1 281 |
| 6 | You know how to call an LLM.....
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β LLM Inference Engineering Roadmap (12 steps + 10 Projects)
Access Now: https://x.com/techyoutbe/status/2089636576485838872?s=20 | 976 |
| 7 | AI Forward-Deployed Engineer: The New AI Career in 2026 You Need to Know
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| 8 | I just created a 30-page visual guide to becoming an AI Forward-Deployed Engineer covering:
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Video: youtu.be/FEQt87gxUIc | 949 |
| 9 | GitHub is easy. GitHub at production scale is a different game. π
I made this 7-page visual guide covering repos, branching, PRs, CI/CD, releases & hotfixes - sharing it FREE with you. π
You can download and share it further....so all have access to it π
https://t3pacademy.gumroad.com/l/zcvcafy
Complete Article:
https://techfusionist.substack.com/p/github-at-production-scale | 1 103 |
| 10 | No text... | 1 310 |
| 11 | https://x.com/techyoutbe/status/2087858460209910088?s=46&t=-nvIJir6Ki_4qCvrP-0JRw | 1 244 |
| 12 | MLOps in 15 Days - Visual Guide (How to Learn MLOps in 15 Days (Step-by-Step Roadmap)
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https://ift.tt/izK1Pe0 | 1 494 |
| 13 | https://www.threads.com/share/DsAmzeJUE/ | 1 603 |
| 14 | Good MLOps Visuals can save your hours from watching tutorials from YOUTUBE or UDEMY βοΈβοΈ
Follow complete plan: https://x.com/techyoutbe/status/2086544390600945894?s=20 | 1 307 |
| 15 | No text... | 999 |
| 16 | No text... | 1 016 |
| 17 | +1 15_Day_MLOps_Learning_Plan-2.pdf | 1 057 |
| 18 | I just made my Master Git in Minutes visual guide completely FREE this weekend.
If Git has ever felt confusing, this guide will help you understand:
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n-minutes/zc1ndpr
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Happy learning! | 1 359 |
| 19 | π Kubernetes Troubleshooting Workflow (Follow this in most cases)
Before diving into individual scenarios, remember this simple sequence...
Symptom β Describe β Logs β Events β Root Cause β Fix https://ift.tt/fEkt965 | 1 135 |
| 20 | π 15 Kubernetes Problems (Solved Visually)
Kubernetes is designed to recover from failures automatically, but it can't fix every problem by itself.
Containers crash.
Images fail to download.
Pods stay in a Pending state.
Services stop sending traffic.
Storage refuses to attach.
Access Complete post: https://ift.tt/CSW0Eg5 https://ift.tt/VkNqTat | 1 109 |
