Channel
@Hyderabadawsdevopsinterviewprepa
On this record: Growth · Engagement · Posts · Telegram's recommendations · Cite this entry
5,026subscribers
+6 since we began measuring on 22 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
| Telegram ID | -1001409817051 |
|---|---|
| Type | Channel |
| Username | @Hyderabadawsdevopsinterviewprepa |
| Created | Between 1 April 2019 and 31 October 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 22 August 2026 |
| Last confirmed live | 5 September 2026 |
| Measurements held | 6 |
| Confirmed unchanged | 1 time, most recently 5 September 2026 |
| On Telegram | t.me/Hyderabadawsdevopsinterviewprepa |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 5 Sept 2026, 02:41 | 5,026 | +8 |
| 1 Sept 2026, 09:45 | 5,018 | -3 |
| 29 Aug 2026, 11:52 | 5,021 | -2 |
| 26 Aug 2026, 02:44 | 5,023 | +2 |
| 23 Aug 2026, 02:06 | 5,021 | +1 |
| 22 Aug 2026, 05:45 | 5,020 | first reading |
20 posts held, back to 16 June 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 page of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 20 posts for this entry, the most recent from 9 August 2026. An engagement rate over an empty window would be a number about nothing.
Question:-100 A developer accidentally commits AWS credentials to Git. What is your complete incident response process? 1.we do not touch the Git repository first priority is disabling the credential at the provider level to stop active exploitation. 2.Log into the AWS IAM Console or use the AWS CLI to change the key status to Inactive. Do not delete it yet; keeping the key identifier intact helps when parsing log…
Hi I am going to start new AWS&Devops session @9:30 Am IST on 10-08-2026 the training main intension is to clear the interview by ourself ping me who are interested to join session 9154078579
Question:-98 What is Exit Status 143 in Kubernetes? 1. The number is derived from the standard Linux formula for signal-based exits: 128 + Signal Number (128 + 15 = 143) A container was successfully terminated by a SIGTERM (Signal 15) request. 2.Exit Status 143 is often part of normal cluster maintenance and operations, rather than an application crash 3.Kubernetes scales down a deployment, removing excess replic…
Question:-97 Suppose AWS Config automatically deletes any IAM User that gets created. How would you handle a business exception where a specific IAM User is required? 1.The actual deletion is handled by an AWS Systems Manager (SSM) Automation document or an AWS Lambda function. 2.Modify the code or automation document that executes the deletion to check for this tag before terminating the user. Tag Key: ConfigExemp…
Question:-96 How do you monitor AWS applications? Which tools, metrics, and alerts do you consider essential? we can establish a reliable, automated monitoring environment using native AWS tools alongside critical metrics and alerts. 1.Amazon CloudWatch: Acts as our core observability hub. It collects system performance data, unifies application logs, and visualizes system trends on central dashboards. 2.AWS X-Ray…
Question:-95 Explain one challenging production incident and how you resolved it in jenkins 1. A challenging production incident in Jenkins is unexpectedly dropping offline mid-build or random OutOfMemory (OOM) errors . 2.During high-load periods or long-running jobs (like Docker image builds or test suites), Jenkins agents would randomly disconnect with a java.io.IOException: Unexpected termination of channel erro…
Question:-94 Why is the Cluster Autoscaler not scaling up even though pods are in the Pending state? 1. If a pod has strict scheduling requirements (e.g., nodeSelector, nodeAffinity, or tolerations) that do not match any available or deployable node in our cloud environment, the CA will refuse to scale up 2.If the CA requests a new node but our cloud provider limits are maxed out (e.g., AWS EC2 vCPU limit), the sca…
Question:-94 Why is the Cluster Autoscaler not scaling up even though pods are in the Pending state? 1. If a pod has strict scheduling requirements (e.g., nodeSelector, nodeAffinity, or tolerations) that do not match any available or deployable node in our cloud environment, the CA will refuse to scale up 2.If the CA requests a new node but our cloud provider limits are maxed out (e.g., AWS EC2 vCPU limit), the sca…
Hi i am going to start new aws&Devops session from scratch on 18-07-2026 @8AM-IST training main intension is to clear the interview on your own . ping me who are interested to join the session 9154078579
Question:-93 Explain the complete request flow from a browser to a Kubernetes pod. 1. The user types a domain (e.g., ://example.com). The browser queries DNS servers to find the external IP address associated with that domain. -->The request is directed to the load balancer configured in front of our Kubernetes cluster 2.Traffic reaches the cluster's ingress controller such as NGINX Ingress Controller --->The contr…
Question:-92 How do you handle docker image versioning and tagging in production? If we don't maintain docker image versioning and tagging in production properly it can lead to broken rollbacks, untraceable bugs, and accidental environment overwrites 1.Never use the latest tag for production deployments or orchestration manifests (like Kubernetes or ECS). 2.A production-ready pipeline applies multiple tags to the…
Question:-91 How would you create multiple S3 buckets in Terraform? 1. we should use the for_each meta-argument or the count meta-argument inside the aws_s3_bucket resource block. 2. Using for_each is the industry best practice because it tracks resources by a unique key (the bucket name) rather than an array index, preventing accidental deletion # Define a map of your buckets and their specific environment tags va…
Showing the 12 most recent of 20 posts we hold for @Hyderabadawsdevopsinterviewprepa. 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.
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 4 seed channels' Telegram-generated recommendation lists 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 5 September 2026 — this entry's latest reading, not the date you are reading this.
“Devops and aws interview preparation Hyderabad” (@Hyderabadawsdevopsinterviewprepa), 5,026 subscribers as measured 5 September 2026. Telegram Register, tgregister.com/channel/Hyderabadawsdevopsinterviewprepa.
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.