DevOps experts: What’s costing teams the most time or money today?

What’s the biggest source of wasted time, money, or frustration in your workflow?
Some examples might be flaky pipelines, manual deployment steps, tool sprawl, or communication breakdowns — but I’m curious about what you think is hurting productivity most.


Personally, coming from a software background and recently joining a DevOps team, I find the cognitive load of learning all the tools overwhelming — but I’d love to hear if others experience similar or different pain points.

https://redd.it/1o672nn
@r_devops

Need advice — Physics grad but confused between DevOps, ML, or CFA

Hey everyone,
I graduated this year with a degree in Physics from a good college. I’ve been into coding since childhood — used to mess around on XDA Developers about 10 years ago, making random projects and tinkering with stuff.

This year I took a drop to work on a startup with my friends — we’re building a VM provisioning system, and I wrote most of the backend and part of the frontend. Before that, around 3 years ago, I even tried starting something in cybersecurity.

Now I’m kind of stuck deciding where to go next. A few options I’ve been thinking about:
• Doing a Master’s in Physics from IIT (I actually love the subject).
• Doing BCA again, just to strengthen my theoretical CS fundamentals.
• Getting deeper into DevOps, because I really enjoyed working with stuff like Firecracker and Kubernetes during our project.
• Going into Machine Learning, since I already have a good math background and love problem-solving.
• Or maybe even pursuing CFA, because I’ve always been interested in finance and markets too.

I know these fields are pretty different, but they all genuinely interest me in different ways.
What do you guys think — where should I focus next or double down?


https://redd.it/1o67ka8
@r_devops

Migrating from Lightsail to EC2 for Terraform experience?

Hey everyone! I’m currently handling DevOps for our company, and we’ve been using AWS Lightsail for most of our projects. It’s been great in terms of simplicity and cost savings, but as the number of projects and servers grows, it’s getting harder to manage.

We use Docker Swarm to deploy stacks (1 stack = 1 app), and we host dev/test/prod environments together on some servers.

I'm planning to slowly migrate to ec2 so I can adopt terraform for infrastructure management. As well as I wanna personally grow and learn it. But ec2 is more expensive and since we’re a startup, I need to justify the cost difference before suggesting it to management.

Would it be possible to do it without increasing our cost to run the servers? or save more? Has anyone here gone through the transition? Would love to hear your insights. Thanks



https://redd.it/1o6a77i
@r_devops

Tool for productivity: notes, links, pass

Hi

Do you use any tool to track notes, links, credentials, any files etc for your work?

I am working on multiple projects that are vastly different and have multiple sources of notes. Something is in git, something online in Jira, some notes during development in text files and some noscripts everywhere. And its for all project and im having hard time to search relevant info.

I would like to have some tool where i can create main 'folders' and under that subfolders where can be password manager, links to system files, notes etc etc..

Also i use only linux. Any idea?

https://redd.it/1o6a22f
@r_devops

HackerRank devops assessment of Arcesium

Hi everyone! I have been shortlisted for the SSE Infrastructure role at Arcesium. The HR has shared a HackerRank assessment link that needs to be completed within the next 48 hours. Can anyone share what kind of questions are usually asked? This will be my first time attempting a HackerRank test. Has anyone attended it? It will be very helpful for me if anyone has attempted it.

https://redd.it/1o6c7hu
@r_devops

KubeGUI - release v1.8

🎉[Release\] KubeGUI v1.8 — lightweight desktop client for managing Kubernetes clusters

Hey folks 👋

Just released KubeGUI v1.8, a free desktop app for visualizing and managing Kubernetes clusters without server-side or other dependencies. You can use it for any personal or commercial needs.

Highlights:

🤖Now possible to configure and use AI (like phind or openai compatible apis) to provide fix suggestions directly inside application based on error message text.

🩺Live resource updates (pods, deployments, etc.)

📝Integrated YAML editor with syntax highlighting and validation.

💻Built-in pod shell access directly from app.

👀Aggregated (multiple or single containers) live log viewer.

🍱CRD awareness (example generator).

Faster UI and lower memory footprint.

Runs locally on Windows & macOS - just point it at your kubeconfig and go.

👉 Download: [https://kubegui.io\](https://kubegui.io](https://kubegui.io))

🐙 GitHub: [https://github.com/gerbil/kubegui\](https://github.com/gerbil/kubegui](https://github.com/gerbil/kubegui)) (your suggestions are always welcome!)

💚 To support project: [https://ko-fi.com/kubegui\](https://ko-fi.com/kubegui](https://ko-fi.com/kubegui))

Would love to hear your thoughts or suggestions — what’s missing, what could make it more useful for your day-to-day ops?

https://redd.it/1o6e7om
@r_devops

Best solution to automate docker bundle backup ?

Hi. I have been scratching my head around this one for a while, multiple back and forth with AI too, but in the end, I can never decide. I thought asking DevOps might be better...

My OS is Ubuntu 24.04 Pro.
Using Docker to self-host a bunch of services, with a mix of named volume and bind mount for persistent storage. Some services use Postgres / Supabase and n8n for automations so it is better not to interrupt it for too long (or at all), generally speaking.

I am basically unsure what is the most straightforward / easy solution to implement a periodic auto backup of everything (the data for all containers), just in case my server dies out (it's an old pc, I use it for experimenting).

I'd like the backup to be auto uploaded to the cloud.

I initially thought I'd use Ubuntu's "online accounts" feature which integrates Google account, so I could just use "deja dup backups" + only bind mounts for containers, and upload a folder of everything to Gdrive weekly.

The problem is that this is not acceptable for Postgres db, and instead I should do a proper pg dump first. I haven't even downloaded Supabase CLI nor the pg dump / pg restore tools yet.
Copying and pasting a folder with all bind mounts is not a valid way of doing it correctly.

\-------

I have recently discovered and installed Coolify, so I dunno if you guys recommend leveraging its features to deal with that, or is there an even better way ?

I have no formal engineering degree, by the way. I'm keen to dig the technical details but generally speaking, I obviously prefer a solution that involves less complexity.

Thanks in advance



https://redd.it/1o6gbyv
@r_devops

I have a DevSecOps intern interview tomorrow. What to expect?

As the noscript suggest, i have a DevSecOps Intern interview tomorrow, and would really like to secure this internship. Considering it is an internship, what do you think is expected of me to know? They did say that my resume caught their attention. Hence, i was given the interview opportunity

https://redd.it/1o6he7h
@r_devops

Are you running your tests in argocd? If so how are you getting the reports out?

We're running applications with gitops using argocd and looking at post-sync test jobs for running E2E tests.

Got my POC running before realizing i have no good way of getting this report out and in front of devs.

How are you exposing test results from jobs with argocd?

https://redd.it/1o6k6px
@r_devops

Looking for some roadmap advice

I've been working in a DevOps-like role at a small company for about two or three years now (my work includes CI/CD babysitting, Terraform modules written by others, basic Kubernetes operations, and a lot of Bash). But I feel like my progress has slowed down. I'm mostly busy with maintenance and handling tickets.

I'm wondering what else I can do in the future, because DevOps is so overwhelming and I'm a bit lost. I'm currently focusing on: System + Networking fundamentals (Linux internals, TCP, DNS, TLS; Terraform module design, state management, multi-account/organizational mode); and Cloud architecture (proper IAM implementation, organizational guardrails, landing zones).

I'm familiar with Linux, Git, and writing small Python/Bash utilities. I can read Terraform and fix issues, but designing from scratch still requires improvement. Lately, I've been browsing YouTube, LeetCode, and the IQB interview question bank for insights. But I'd rather hear real, everyday experiences.

If I were you, what would you focus on to improve your competence over the next year? What resources would you choose? What resources would be truly helpful? Books, labs, real projects, and practical examples are all highly sought after, as I currently don't know what keywords to search for. TIA.

https://redd.it/1o6fgc6
@r_devops

After more than a decade in DevOps, I’ve realized I’m more of a developer at heart

I’ve been in the DevOps/SRE space for over a decade now, working across different roles and organizations. But one thing I’ve consistently noticed throughout my career — I genuinely love coding far more than working on infrastructure, operations, or even IaC.

Whenever I’m writing code — automating something, building tools, or creating something new — I get completely absorbed. I never feel tired or bored. But when it comes to the “Ops” side of things — maintaining infra, monitoring, or writing Terraform/Ansible — I start feeling drained pretty quickly.

People often say there’s a lot of scope for coding and automation in DevOps/SRE, and while that’s true to some extent, it still feels much less fulfilling compared to a traditional development role.

This has always been my realization, and I just wanted to share it here. Has anyone else felt something similar — that maybe your real strength lies in the “Dev” part of DevOps? How did you deal with that realization? Did you shift towards development, or find a balance that kept you happy while staying in DevOps/SRE?

Would really love to hear your experiences and perspectives.

https://redd.it/1o6n0im
@r_devops

AI Providers, Security and Compliance

Hey Folks,

So as part of my "continuing education", I've put my skepticism aside and have been using AI in and on some of my side projects, meaning I use AI to help code, and I am making "AI Wrapper" projects. I am starting to see some value, but I'm also finding some...infra-smells? Gaps? I don't know.

First, I'm sort of ignoring the big enterprise side of things. It seems like for that you just pick vertex or bedrock and go all in, vendor lockin and cost be damned. Bully for them.

But on the smaller side, you've got all these scrappy startups using neat tools like openrouter, notdiamond, LiteLLM, etc. which is great if you want to use the latest models, do some cost optimization, have dynamic routing and all that. But I found myself instinctively wanting to build all sorts of infrastructure JUST FOR ME to do this safely.

I still have PTSD from when the guy sitting next to me checked his AWS Access keys into github and we lost 40k over the weekend. And now we're back to passing around API keys willy nilly. How are people managing this? Am I being too paranoid? What happens when you scale up and hire an offshore team, are you really just sending keys over to them via slack?

Also, most of these providers make no guarantees of compliance, or any kind of privacy, so a lot of us are probably sending our deepest darkest secrets directly to china (deepseek) or google (gemini). And I don't know which is worse.

How are people actually managing this in sort of the "middle tier" of companies? Say, an AI wrapper startup that is scaling and now needs to be both cost-effective and hipaa compliant? Are there libraries or services to help with this? Or are you just rolling your own stuff?

Go easy on me, I literally JUST got done with SOCII for one of my clients, so I'm in that headspace anyway, it just seems like nobody is really talking about this.

https://redd.it/1o6p384
@r_devops

What tools do you use to stay organized?

As a DevOps engineer, there's many things to keep track of:

tasks you're working on
discussions and meetings you've had
code snippets and/or cli commands you frequently use
links to company wikis, docs etc
personal notes about how you solved a particular problem
personal notes about people you work with
information about different systems you need to log in to (user names, passwords, ways of logging in)
etc.

What do you use for that? Obsidian? Notion? Plain markdown files? Hand written notes? I'd be interested in hearing about the tools you use, and if you're using a specific system to make sense of it all.

https://redd.it/1o6nhlz
@r_devops

An open source access logs analytics noscript to block Bot attacks

We built a small Python project for web server access logs analyzing to classify and dynamically block bad bots, such as L7 (application-level) DDoS bots, web scrappers and so on.

We'll be happy to gather initial feedback on usability and features, especially from people having good or bad experience wit bots.

The project is available at Github and has a wiki page


Requirements

The analyzer relies on 3 Tempesta FW specific features which you still can get with other HTTP servers or accelerators:

1. JA5 client fingerprinting. This is a HTTP and TLS layers fingerprinting, similar to JA4 and JA3 fingerprints. The last is also available in Envoy or Nginx module, so check the documentation for your web server
2. Access logs are directly written to Clickhouse analytics database, which can cunsume large data batches and quickly run analytic queries. For other web proxies beside Tempesta FW, you typically need to build a custom pipeline to load access logs into Clickhouse. Such pipelines aren't so rare though.
3. Abbility to block web clients by IP or JA5 hashes. IP blocking is probably available in any HTTP proxy.



How does it work

This is a daemon, which

1. Learns normal traffic profiles: means and standard deviations for client requests per second, error responses, bytes per second and so on. Also it remembers client IPs and fingerprints.
2. If it sees a spike in z-score for traffic characteristics or can be triggered manually. Next, it goes in data model search mode
3. For example, the first model could be top 100 JA5 HTTP hashes, which produce the most error responses per second (typical for password crackers). Or it could be top 1000 IP addresses generating the most requests per second (L7 DDoS). Next, this model is going to be verified
4. The daemon repeats the query, but for some time, long enough history, in the past to see if in the past we saw a hige fraction of clients in both the query results. If yes, then the model is bad and we got to previous step to try another one. If not, then we (likely) has found the representative query.
5. Transfer the IP addresses or JA5 hashes from the query results into the web proxy blocking configuration and reload the proxy configuration (on-the-fly).


https://redd.it/1o6rxgc
@r_devops

Ask for your advice

I work for an Internet service provider (ISP), and since I started working with them, I have been involved in everything related to the company's tasks, because we agreed from the beginning that I would learn and gain experience in various aspects.

During my time there, I have learned many skills in various fields, including:

Managing the company's Linux-based server, where I install various systems using virtual machines.

I also work in networking using MikroTik, and I have a good understanding of network architecture and management.

In addition, I have been a Python programmer since before I joined the company, and I have completed a number of automation projects that have helped streamline the company's work.


However, I recently noticed that my skills are scattered and unorganized, which made me unsure of the field I should focus on or specialize in. I talked to ChatGPT about this, and it suggested that I direct my attention toward the field of DevOps.

So I would like to know:

1. What is my approximate level in relation to the requirements of the DevOps field?

2. Where can I actually start to develop myself in this direction?

3. Are there good job opportunities and rewarding salaries in this field?

https://redd.it/1o6rlum
@r_devops

What homelab project actually made you better at DevOps?

So I’ve been seeing a ton of homelab posts lately and decided to start one myself. Got Proxmox running a bit ago and planning to set up Kubernetes the hard way just to really get it.

My goal is to learn by doing and maybe test some disaster recovery stuff in AWS later.

For anyone who’s been doing this longer, what homelab projects actually helped you get better at DevOps skills in the real world? And which ones were just cool experiments that didn’t really translate to your day job?

https://redd.it/1o6tue6
@r_devops

What tools are useful for measuring CPU and memory usage in Kubernetes clusters to identify misconfigurations and opportunities for reducing resource allocation?

What tools are useful for measuring CPU and memory usage in Kubernetes clusters to identify misconfigurations and opportunities for reducing resource allocation? Do you have any recommendation? Feel free to share.

https://redd.it/1o6ulbe
@r_devops

Need some help guys from someone with experience.

Hey there,

I’m a 2nd-year Electrical Engineering and Computer Science student, and lately, I’ve been kind of stuck trying to figure out when I’m “ready” to actually apply for a SWE or DevOps role. I’ve gone pretty deep into studying on my own — I don’t really take light courses, I usually go straight to the dense books and try to understand things as fully as I can. So far, I’ve worked through stuff like:
\- C: How to Program.
\- Object-Oriented Software Construction (the Bertrand Meyer one. That took O-O from its core philosophy and engineering principles and some of the Math behind it).
\- Introduction to Algorithms (CLRS) and MIT's Introduction into Algorithms lectures.
\- MIT’s Mathematics for Computer Science (Covering Set Theory, Graph Theory, Proofs, Algorithms, Number Theory, ...), Linear Algebra, Calculus I/II, Differential Equations.
\- Compiler basics (Because I needed to dive into The Automata Theory first and didn't have the time)
\- Operating Systems in more non abstract manner (saw the code of the popular MINIX OS written in C).
\- System Programming (diving into the internals of the operating system and learning and some low level stuff with C interacting with the OS in direct).
\- Database Management Systems.
\- AI with Artificial Intelligence A Modern Approach text, and covered some topics like (Searching algorithms to solve a problem, the philosophy and the underlying theory of the early AI stuff)
\- Machine Learning (Hands-On ML Popular Book).
\- On the EE side, I’ve done {circuits, electromagnetism, electronics, Signal and Systems, etc. }.

The problem is, I don’t really have a mentor or someone to tell me if I’m focusing on the right things or when it’s time to just start applying. I’m aiming to move toward DevOps/SWE eventually, but I don’t really understand how the market works or what’s “enough” to start. If you could give me a bit of direction — like what I might be missing, or what you’d focus on if you were in my shoes — it’d honestly mean a lot.

Thanks

https://redd.it/1o6ux3w
@r_devops

Could DevOps/SRE lead you to be more hardware oriented roles?

I’ve always liked the hardware side of things, but found it extremely hard to get into without prior knowledge or experience and with the original path of embedded basically becoming harder, I started searching and fell in love with DevOps.

Later tho I found some people claiming that after a while of being an SRE or even DevOps engineers, the transitioned to roles like hardware reliability or other similar positions, and I was simply wondering if that’s possible, because the entire idea of DevOps is to bridge software gaps, but I may be wrong as I don’t really have that much experience in the matter.

https://redd.it/1o730b4
@r_devops

Bootstrap you career in DevOps

Good morning aspiring DevOps!

This is my second message of this kind.

I can see many people looking to bootstrap their career and they form small groups of students like.

But, wouldn't it be better to work with a real company on a realistic project?

I have launched successfully a few months ago a mutual benefit collaboration in which some people joined some internal projects we are developing that could help you learn how to bring a software/system from development to production.

Some people have left because they got job offers, so looking for other potential candidates interested in this experience.

This is a completely free collaboration on both sides, on your side you commit to learn and try to complete the project, on my side I commit to giving you tutoring and support needed and guiding you on troubleshooting issues.

I have got 3 projects in mind:

1) Data Pipeline: there is a nice article on Medium on a data pipeline to ingest marketdata data using technologies like Spark, MongoDB, Postgres and other

2) LLMops framework. We want to train internal models on Kubeflow and we need a reliable way to install it and manage it.

3) Terraform OCI provisioning. Nowadays Oracle Cloud is getting traction. Why don't we build terraform modules for it?

I require some basic knowledge of technologies since those projects are not suitable for people who don't have any knowledge.

I want to help you make sense of the technology you already know and tell you how to apply it to a real case scenario rather than a simple Hello world one!

Also be mindful of the fact that I can not accept everyone since I will provide my personal time, obviously I can not scale like we want our deployments to......I am not a pod!

To apply please complete this form:

https://forms.office.com/e/3QDd5dMPmv

https://redd.it/1o75d7p
@r_devops

React Native iOS App Crashes Immediately on Launch After Successful Build in Azure Pipeline

**Problem:** I have a React Native app that builds successfully in my Azure DevOps pipeline (macOS-15, Xcode 16.4, Node 23.7.0, React Native), but the app crashes immediately upon launch on both Debug and Release configurations. The build completes without errors, the IPA is generated correctly, but the app won't run.

**Build Environment:**

* **CI/CD:** Azure DevOps Pipeline
* **macOS:** macOS-15
* **Xcode:** 16.4
* **Node.js:** 23.7.0
* **NPM:** 11.5.2
* **Yarn:** 1.22.22
* **Build Configuration:** Both Debug and Release crash

**What Works:**

* ✅ Pipeline completes successfully
* ✅ Archive builds without errors (`** ARCHIVE SUCCEEDED **`)
* ✅ Export succeeds (`** EXPORT SUCCEEDED **`)
* ✅ IPA file is generated
* ✅ CocoaPods installation succeeds
* ✅ JavaScript bundle is created

**What Fails:**

* ❌ App crashes immediately on launch (white screen/instant crash)
* ❌ Happens in both Debug and Release builds


**What I've Tried:**

* ✅ Clearing CocoaPods caches
* ✅ Removing and reinstalling pods
* ✅ Verifying JavaScript bundle is created and copied correctly
* ✅ Checking provisioning profiles and certificates (all valid)
* ✅ Using `NODE_OPTIONS='--openssl-legacy-provider'`




**Problem:** I have a React Native app that builds successfully in my Azure DevOps pipeline (macOS-15, Xcode 16.4, Node 23.7.0), but the app crashes immediately upon launch on both Debug and Release configurations. The build completes without errors and the IPA is generated correctly, but the app crashes with a fatal JavaScript exception.

**Crash Information:**

Exception Type: EXC_CRASH (SIGABRT)
Termination Reason: SIGNAL 6 Abort trap: 6

Last Exception Backtrace:
0 CoreFoundation __exceptionPreprocess
1 libobjc.A.dylib objc_exception_throw
2 iQ.Suite Clerk RCTFatal
3 iQ.Suite Clerk -[RCTExceptionsManager reportFatal:stack:exceptionId:extraDataAsJSON:]
4 iQ.Suite Clerk -[RCTExceptionsManager reportException:]

The crash occurs in `RCTExceptionsManager`, indicating a fatal JavaScript error is being thrown immediately on app launch.

**Build Environment:**

* **CI/CD:** Azure DevOps Pipeline
* **macOS:** macOS-15
* **Xcode:** 16.4
* **Node.js:** 23.7.0
* **NPM:** 11.5.2
* **Yarn:** 1.22.22
* **iOS Version:** 18.5
* **Hermes:** Enabled (visible in crash log)
* **Build Configuration:** Both Debug and Release crash

**What Works:**

* ✅ Pipeline completes successfully
* ✅ Archive builds without errors (`** ARCHIVE SUCCEEDED **`)
* ✅ Export succeeds (`** EXPORT SUCCEEDED **`)
* ✅ IPA file is generated and deploys to TestFlight
* ✅ CocoaPods installation succeeds
* ✅ JavaScript bundle is created and verified

**What Fails:**

* ❌ App crashes immediately on launch (instant crash)
* ❌ Happens in both Debug and Release builds
* ❌ Fatal exception occurs before app UI appears
* ❌ Crash originates from JavaScript layer (RCTExceptionsManager)

**Key Build Steps:**

1. JavaScript bundle creation:

bash

react-native bundle \
--entry-file index.js \
--platform ios \
--dev false \
--minify true \
--bundle-output ios/main.jsbundle \
--assets-dest ios

1. Bundle is copied to two locations and verified:
* `ios/main.jsbundle`
* `ios/Clerk_React/main.jsbundle`
2. CocoaPods installation with cache clearing
3. Xcode build with manual code signing (Release configuration)
4. Archive and export to IPA for App Store distribution

**Environment Variables:**

* `NODE_OPTIONS='--openssl-legacy-provider'` (for legacy OpenSSL support)

**What I've Tried:**

* ✅ Clearing CocoaPods caches completely
* ✅ Removing and reinstalling pods with `--repo-update`
* ✅ Verifying JavaScript bundle exists and has content (verified with `head -c 100`)
* ✅ Checking provisioning profiles and certificates (all valid)
* ✅ Building with both Debug and Release configurations
* ✅ Using Xcode 16.4 with proper SDK (iphoneos18.5)

**Questions:**

1. **Could this be related to the JavaScript bundle