Could be podcasts, blogs, etc

Obwohl Doctor Ansay sich als zuverlässige Plattform präsentiert, zeigen zahlreiche negative Bewertungen eine andere Realität. Viele Kunden berichten von enttäuschenden Erfahrungen, mangelndem Service und unzuverlässiger Leistung.

Hauptkritikpunkte:

1. Schlechter Kundenservice: Lange Wartezeiten auf Antworten, ignorierte Beschwerden und kaum telefonische Erreichbarkeit sind häufige Beschwerden.
2. Mangelnde Qualität der Dienstleistungen: Viele Nutzer erhalten nicht die versprochenen Leistungen oder erleben gravierende Qualitätsmängel.
3. Technische Probleme: Langsame Ladezeiten, Anmeldeprobleme und unsichere Zahlungsmethoden belasten die Nutzererfahrung.
4. Lieferverzögerungen: Kunden warten oft Wochen auf ihre Bestellungen, die manchmal gar nicht ankommen.
5. Zweifel an der Glaubwürdigkeit von Bewertungen: Es gibt Bedenken, dass negative Bewertungen gelöscht und positive manipuliert werden.

Fazit

Die negativen Bewertungen deuten auf erhebliche Probleme hin. Potenzielle Kunden sollten sich bewusst sein, dass der Service oft unzuverlässig ist und die Qualität schwankt. Überlegen Sie gut, ob Doctor Ansay die richtige Wahl für Sie ist.

Teilen Sie Ihre Erfahrungen: Haben Sie auch Erfahrungen mit Doctor Ansay? Ihre Meinung kann anderen helfen!

Doctor Ansay Bewertungen

So I want to switch to a new job and was wondering other than LinkedIn what all have people used for looking for a job!

For real, I don’t know how much leetcode and DSA I need to master aside the tools of the DevOps trade to attend a technical interview for DevOps. Can someone help me?

I am going on 3 years experience in QA with both manual and mobile automation. It seems QA and front end development are very saturated. My friend/mentor says Dev ops is the next logical step from QA roles. Dev ops also seems less saturated. How do I get started? What certs should I get in automation or dev ops? Thoughts?

I'm looking for some advice on how to quickly get up to speed with a new job.

Previously I was working in a dotnet shop at a smaller company. I was managing Azure, Pipelines, WAFs, Networking, basically anything infrastructure related that wasn't inside the app itself. - typical "devs are bad at networking" kinda gig.

Now I'm at a bigger company, with a dispersed team, where our only job is to manage a data platform for data engineers. The problem is, I don't know the first thing about data. I've tried to search around but all the information I'm finding is mostly geared towards learning how to manage the data itself, not managing the platform. - I remember struggling with this at the dotnet shop but I had a LOT better support so the devs would interact with me and teach me what they were doing, so in turn I could help them bridge their gaps with infrastructure. That doesn't feel like a thing I can do at this new role, so I'm trying my best to cover my ass.

Any Advice? - I can google things as they come up, but I'd like to somewhat get ahead of the curve so I don't have to push off every question I'm asked.

Hey fellow DevOps engineers,

After working with GKE in production environments, I documented my approach to provisioning a production-ready GKE Autopilot cluster using OpenTofu/Terraform. I focused on the Day 0 operations that are often immutable after cluster creation.

Key highlights:

• Custom VPC networking setup with dedicated subnets
• Secret encryption with Customer-Managed Keys (CMK)
• GKE Autopilot configuration for minimal operational overhead
• Terragrunt for dependency management and code reusability
• Practical example of deploying a sample app with Helm

Blog post: https://developer-friendly.blog/blog/2025/02/03/how-to-provision-a-production-ready-autopilot-gke-cluster/

The guide includes all the code snippets and explanations. Hope this helps anyone getting started with GKE or looking to improve their existing setup.

Feel free to share your thoughts or experiences with GKE Autopilot!

Hi guys,

I am looking into switching into devops field from fulltime web dev. And I m curios what are the most important and up-to-date books someone like me can read? Even if they're not directly connected to, but would be helpful in future.

Share you thoughts! Thanks!

Hey everyone, I’m curious about how you manage log overload in fast-growing infrastructures. Between low-priority warnings, duplicate events, and false positives, it can be tough to separate the noise from what actually matters.

Do you use filtering, deduplication, or automation to keep things manageable? What strategies or tools have helped you cut down log bloat while still catching critical alerts?

One thing’s certain: database change workflows need help. They tend to be outdated, un-integrated, and far from modernized. 

Yet some organizations have embedded DevOps practices into the database layer for seamless, automated, self-serve change management.

Others have even leaned fully into database DevOps with end-to-end governance and observability on par with the rest of their modernized pipelines and platforms. 

So, where does your organization fall in the database DevOps maturity spectrum? What’s working – and not working – for teams like yours?

That’s what this survey aims to discover. Take the 2025 Database DevOps Adoption & Innovation Survey and you’ll be entered to win one of five $100 gift cards as a thanks for lending 5-10 minutes of your time. 

You’ll also get first-look access to the report’s results and insights when it’s released in March. 

Submit your responses by February 7, 2025, and help shape database workflows that support the challenges and opportunities of 2025 and beyond!

Hi everyone! I’ve recently started dating this guy, Devops engineer. He’s the sweetest and has a great sense of humour. He’s tried his best to explain to me what he does but I’m a bit useless with anything tech related (I work in education).

I was wondering if anyone knew of any funny/cute technical phrases I could tell him from time to time so that he would be caught off guard?

I’m looking for ways to tell him that I like him but with devops language basically :)

I know that may be a weird question but I would appreciate any help you can give me and thank you in advance!

I am still a learner in devops. But go ahead, grill me with the hardest questions possible, so that this interview should feel like child's play.

I was tired of my boring pipelines only telling me what resources I had deployed, so here's a way to inject some Heisenberg wisdom and keep things interesting:

Repo: https://github.com/The-Infra-Company/terraform-provider-breakingbad

I was approached to do some part-time c2c contracting work on the side (high-level stuff like architecture) but I'm not sure what hourly rate to start the conversation at. I have about 4 years of experience in DevOps plus 3 years of software development before that. What's your rate?

Edit: clarified that this is a C2C role, not contracting for an agency

Hi all,

I'm looking for an India-based, cloud-based software (built with React preferred) that includes the following features:

• GST Filing
• E-Way Bill Generation
• E-Invoice Creation

If you have a source code like this, please DM me with a demo and your pricing.

Thanks!

What is the best way to execute pull request checks in github for existing pull request when PR description is updated (no new commit has been made to PR)

Hello,

I work in a lab whose core business is not deployment.

I've set up a local Gitlab instancz on a Synology NAS. We deploy our code on it.

However, there are some CPP, C, Python and FPGA IPs bricks that we use a lot.

So I'm wondering how to manage them.

For example, I've developed a Python lib but deployed it on the Gitlab. I'd like to manage it as a module, so I've created a wheel of this lib and installed it with pip. But to do this I have to download and install it manually.

I'd like something simpler because I know my colleagues and if it gets too complicated they'll skip it and go back to usb sticks.

So how do I go about it? Install a local pip server? What about IPs? Ditto for cpp/c, compiled lib... They've taken over Gitlab, and I'm already super happy, but is clea good for libs and the like?

Synology is quite complicated I don't really like it I'd rather have a nuc or something like that to manage it but I need arguments to defend my project if you think it's necessary.

Thanks.

I want to setup spring boot logs centralization using ELK. This must be an easy task, but my dumb brain even after spending 20 hrs on this, can't figure out. Thus, I was wondering if anyone could provide some books to deeply learn ELK. PS: Do I need to know spring boot if I want to configure from the ground up?(I mean I will get the code from github but do I need to write spring boot myself). If so, please guide me towards resources to learn spring boot(youtube, udemy, books etc)

I am currently working to upgrade an Aurora serverless v1 instance to Aurora serverless v2 in aws rds. but the instructions int he documentation are so unclear. event he standard options for instances classes seems to be depricated fromt he console. can anyone helo me as to how should i go about it?

Hi everyone, just wanted to know your opinion on doing my first DevOps certification -

CKA

FYI, I am currently working on an entry-level DevOps role, I do have significant experience in shell and currently I am working on the DevOps stack - Linux basic knowledge of commands (sufficient for DevOps purposes) , Terraform (basic resource provisioning and fundamentals), some kubectl commands ( k9s is awesome), ran some monitoring queries in Grafana, Jenkins (running some build stages in pipeline jobs)..

I do have a lot of supportive senior teammates constantly sharing their experience and letting me learn by doing.

I just wanna know like am I missing anything or should I do some other certifications first, or in general what's your experience with this certification, how you prepared etc.

So just to get it straight this Ahole was handling most of the things for gcp by himself and never really handed me over the whole thing until he decided to go on a holiday. Before going didn't really communicate properly about the details, Inhad to work extra 3 hours with clients to get things up. After he came back didn't take any updates , and now when the bill is here he's blaming me . He told me to set budget capa for the staging and production environment but didn't even specify what was the dev environment as there were plenty of apps with the same name. And due to my bad luck there's a sudden increase in cost in this month itself due to some Api usage.
Am I the asshole here ??? Because if he's saying that we're taking care of DevOps , at least provide me with proper documentation about what you've already set. Or be clear with your words. To add to this my company doesn't work with GCP, and I've barely had any work to do with it.

I have worked as a DevOps/SRE engineer for about 4 years now however I am wondering what the career progression could be like. I would prefer to be an individual contributor. I would like to write some more code aside from terraform, bash scripts, helm, managing k8s clusters etc. I am interested in gaining more experience in architectural decisions. I am wondering how i can head into that direction. Do I need to switch positions? In summary I would like to code more, do some GoLang or Rust and get more involved in building systems and not just managing clusters/infrastructure.

I have some issues fully understanding "build & run-teams".

- Does it require CI/CD approach? Does it simply mean whoever writes the code is also responsible for deploying it?!

In the following scenario:

ci/cd is not 100% followed (the ci part mostly), but there is a pipeline with automatic tests and build. There will be a merge request reviewed by one person, then the person who wrote the test can merge wich will trigger testing, build and deploy it automatically. Is this considered 'you build it, you run it?

Hello fellow craftsmen, I am trying to get my foot in the door in current job market.
As I have worked at single role as a cloud support engineer for my entire career of 4 years the mere idea of interview is quite dreadful for me, I have AWS SAA and CKA certs and I am willing to invest more time on my learning but I want tips to make sure I am follow correct technique so my profile outshines as an applicant and I excel at interviews.

Thankyou all already learnt a lot from you guys ❤️

We have VM instances running on multiple cloud providers, and in some cases multiple accounts on said providers. How do you typically keep track of all of this in an automated way?

I'd love to aggregate the data somehow

I'm a software engineer at a consultancy that requires DevOps as well. I'm thinking about taking a job that is out and out DevOps. I enjoy DevOps/platform work but what makes me slightly unsure is do I want to do it full time and give up writing software. Are there and software engineers that made the switch to DevOps? If so, do you have any regrets or is it all positive?

Hi, I'm currently a Fullstack developer for around 1 year and 7 months, recently found myself enjoying the Devops and Cloud side of things much more, spending most of my free time daily dedicated to learning about it, taking notes and building practical projects with what I've learnt.

I recently passed my Azure AZ-104 certification which was tough but gave me a good overview of the main services in Azure.

I have knowledge in .NET, JavaScript (Vue / React), Node.js, GH Actions, ArgoCD, Docker, Kubernetes, Helm, Prometheus, Grafana, Terraform, MS Azure, Ansible, Linux, Bash

I am always improving my skills in these by building out projects, using KodeKloud for courses on DevOps, and reading up documentation and blogs about various tools.

I built a basic microservice-based application that I wanted to implement the DevOps process into. The goal was to cover key DevOps practices like containerization, CICD, Cloud services, automation, security, monitoring, and IaC.

Tech Stack & Tools

• Infrastructure: Azure (Private AKS Cluster, ACR, App Gateway for ingress, Private Endpoints, VNet Peering, VM for a self hosted GH Actions runner)
• CI/CD & GitOps: GitHub Actions (cloud & self-hosted runner) and ArgoCD to follow a GitOps approach
• Automation & IaC: Terraform to provision the entire cloud infrastructure
• Security and Service Mesh: Istio (mTLS for pod-pod communication, Traffic splitting using Virtual services), Trivy (docker image vulnerability scans), Kube-bench (Scan cluster components), kubesec (Scan static K8s manifest files).
• RBAC and IAM: Used least privileged IAM roles in Azure, Managed identities to avoid handling credentials.
• Monitoring & Alerting: Prometheus Operator with CRDs like PrometheusRules, AlertManager, Basic dashboards with Grafana, Sent notifications for specific metrics to Slack based on PrometheusRules.
• Networking: Private AKS Cluster to restrict public access to API Server, Private DNS and linking various VNets to the DNS Zone, Kubernetes Network Policies to restrict Ingress and Egress traffic between Pods.
• Scripting: Created Bash scripts to automate things like running scans using Trivy, Installing various Helm charts like CertManager, Prometheus, ArgoCD.
• Other: Used Helm and templating for my manifest files, StatefulSets for my DB with an AzureDisk StorageClass to persist data,

I definitely learnt a lot by doing this, constantly adding to it when I learnt new things, and I'll continue to add on to it to build my practical knowledge.

The issue now is that I would like to know if this is sufficient for me to start applying for Entry level roles in the field, I know it's not really suited towards juniors but I am willing to upskill myself and improve everyday if given a chance to experience how everything works in a real-world environment.

I feel like you can only do so much on your own, and most of the knowledge will come from applying the skills in a real-world environment and learning from experienced people.

I do not really have an opportunity in my current role as we're a small company, and it's very rare that we make changes to existing infrastructure.

I also wanted to know if it's also possible to find a remote role internationally since there are very little to no roles for someone trying to land their first role locally where I'm from.

I really am trying so many things, contacting people directly on LinkedIn, applying to roles I'm not qualified for since most DevOps roles here want 3+ years of experience. I do still enjoy development, but not to the point where I find myself after hours learning and implementing different technologies like I do with DevOps.

Thanks

I created a job board and decided to share here, as I think it can useful. The job board consists of job offers from FAANG companies (Google, Meta, Apple, Amazon, Nvidia, Netflix, Uber, Microsoft, etc.) and allows you to filter job offers by location, years of experience, seniority level, category, etc.

You can check out the "DevOps Engineering" positions here:

https://faang.watch/?categories=DevOps+Engineering

Let me know what you think - feel free to ask questions and request features :)

End-to-end software test automation has traditionally struggled to keep up with development cycles. Every time the engineering team updates the UI or platforms like Salesforce or SAP release new updates, maintaining test automation frameworks becomes a bottleneck, slowing down delivery. On top of that, most test automation tools are expensive and difficult to maintain.

That’s why we built an open-source AI-powered testing agent—to make end-to-end test automation faster, smarter, and accessible for teams of all sizes.

High level flow:

Write natural language tests -> Agent runs the test -> Results, screenshots, network logs, and other traces output to the user.

Installation:

pip install testzeus-hercules

Sample test case for visual testing:

Feature: This feature displays the image validation capabilities of the agent    Scenario Outline: Check if the Github button is present in the hero section     Given a user is on the URL as  https://testzeus.com      And the user waits for 3 seconds for the page to load     When the user visually looks for a black colored Github button     Then the visual validation should be successful

Architecture:

We use AG2 as the base plate for running a multi agentic structure. Tools like Playwright or AXE are used in a REACT pattern for browser automation or accessibility analysis respectively.

Capabilities:

The agent can take natural language english tests for UI, API, Accessibility, Security, Mobile and Visual testing. And run them autonomously, so that user does not have to write any code or maintain frameworks.

Comparison:

Hercules is a simple open source agent for end to end testing, for people who want to achieve insprint automation.

1. There are multiple testing tools (Tricentis, Functionize, Katalon etc) but not so many agents
2. There are a few testing agents (KaneAI) but its not open source.
3. There are agents, but not built specifically for test automation.

On that last note, we have hardened meta prompts to focus on accuracy of the results.

If you like it, give us a star here: https://github.com/test-zeus-ai/testzeus-hercules/