Channel
@Kubesploit
On this record: Also posting the same content · Growth · Engagement · What this channel posts · Posts · Citations · Telegram's recommendations · Cite this entry
2,121subscribers
+18 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
| Telegram ID | -1001491056529 |
|---|---|
| Type | Channel |
| Username | @Kubesploit |
| Created | Between 1 April 2019 and 31 October 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 24 August 2026 |
| Measurements held | 7 |
| Confirmed unchanged | 1 time, most recently 24 August 2026 |
| On Telegram | t.me/Kubesploit |
This channel’s posts match, word for word or near enough, posts on 3 other registered channels, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.
Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 24 Aug 2026, 12:33 | 2,121 | +4 |
| 21 Aug 2026, 00:03 | 2,117 | +2 |
| 18 Aug 2026, 10:43 | 2,115 | +3 |
| 15 Aug 2026, 00:04 | 2,112 | +8 |
| 11 Aug 2026, 11:04 | 2,104 | +1 |
| 8 Aug 2026, 15:01 | 2,103 | no change |
| 7 Aug 2026, 21:45 | 2,103 | first reading |
20 posts held, back to 22 July 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.
ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.
ER is defined industry-wide as (forwards + reactions + comments) ÷ views— note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate.
| Window | Rolling 30 days · latest post in window 5 August 2026 |
|---|---|
| Posts held | 20 (22 July 2026 – 5 August 2026) |
| Views total | 2,451 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 7 Aug 2026, 21:45 UTC |
Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.
Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.
Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.
Measured directly from 6 videos with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.
This tutorial explains how to build a PCI-DSS focused GKE security framework using: - Workload Identity, - Secret Manager, - Binary Authorization, - NetworkPolicy, - VPC Service Controls, - Private Service Connect, - Istio mTLS, - and audit logging. More: https://ku.bz/cD6Lg9ppD
This week on Learn Kubernetes Weekly 195: 🔍 Practical Detection Engineering for Kubernetes: Baselining Audit Logs 🤖 Building an AI Agent That Runs Your SRE Operations — What I Learned, What Works, and How You Can Do It Too 🛡️ Building an OSS Kubernetes Security Console 🧩 User Namespaces in Kubernetes: The Implementation 🔀 Vlan Migration: Moving a Live Kubernetes Cluster Without Downtime Read it now: https://kube.to…
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The newest tool is not automatically the right architectural choice. Before evaluating implementations, Fabián Sellés Rosa defined three criteria: flexibility, production maturity, and operational effort. This made it possible to compare Crossplane, a custom controller, and KRO with ACK on the same terms. You will learn: - Why KIAM became urgent to replace after years of stable operation - How to define evaluation…
This article explains how Falcon Shield extends CrowdStrike security into SaaS applications through posture management, identity governance, OAuth visibility, permission drift detection, and identity threat response. More: https://ku.bz/XvW_Xp6X0
This tutorial explains how to build a PCI-DSS focused GKE security framework using Workload Identity, Secret Manager, NetworkPolicy, zero trust networking, Binary Authorization, audit logging, and secure access patterns. More: https://ku.bz/XNmQ2X-7T
For many edge deployments, sovereign requirements mean the cloud is not the default. Przemysław Wojtunik explains that customers want to know who stands behind the technology and where their workloads run, which is why his team continues to focus on on-premise installation. Watch the full interview: https://ku.bz/TJRYGMWV2
This tutorial explains how to connect Kubernetes authentication to LDAP through Dex and OIDC. It covers certificates, OpenLDAP, Dex Helm setup, API server trust, token claims, and RBAC group mapping. More: https://ku.bz/nN1m_5FXK
This article explains how to build a Kubernetes security console that turns CRD-based security findings and runtime events into one MCP-backed triage surface. More: https://ku.bz/ZHmHZys-n
Alessandro Pomponio, Research Software Engineer @ IBM Research, explains how his team used Kyverno policies to solve GPU resource monopolization in their Kubernetes clusters. He describes a common anti-pattern where researchers were creating idle pods with commands like sleep infinity and using SSH to treat them as virtual machines, causing GPU starvation for other users, especially during conference deadlines. Ales…
This week on Learn Kubernetes Weekly 194: 🤖 We're a 3-Person Tech Team Running Production Kubernetes — So We Built an AI SRE 💸 The GPU Bill Was $40,000. Nobody Knew Why. 🔓 Copy Fail in Kubernetes: PSS Restricted and RuntimeDefault Did Not Block AF_ALG 📦 How We Set Up One Private Container Registry for 6 AKS Clusters Across 3 Regions and What Broke Along the Way ⚙️ GitOps with Terraform Using tofu-controller: Grafana…
Security in Kubernetes does not have to be an expert-only discipline. Abhishek Rao shares a simple mental model for platform security: layer access and isolation step by step, just like physical security in a building. The point is not perfect complexity, but practical controls teams can actually adopt. When security feels understandable, adoption becomes realistic. Watch the full interview: https://ku.bz/_q9XBg…
Showing the 12 most recent of 20 posts we hold for @Kubesploit. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.
Republishes
Channels on the register whose posts this channel has forwarded.
Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
This channel appears in 1 seed channel's Telegram-generated recommendation list in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 24 August 2026 — this entry's latest reading, not the date you are reading this.
“Kubesploit” (@Kubesploit), 2,121 subscribers as measured 24 August 2026. Telegram Register, tgregister.com/channel/Kubesploit.
Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.