Anyone using Linear? I've got a couple 1-year coupons lying around.

I ended up with a few unused Linear 1 year credits from a deal I got earlier this month. I don't need all of them anymore, and they'll expire soon, so l figured I'd Give them on to people who want to improve their project + task workflow.

Linear really streamlined my planning + daily workflow. Instead of letting the credits expire, la rather give them to people who will actually use them to stay organized and ship faster.

If you want one, just comment "interested" or DM me and l'il send details.

https://redd.it/1ptekn0
@r_devops

I am building a Kubernetes operator dashboard as a personal project and having a lot of fun with it

Hi everyone,

I wanted to share a personal project I have been really enjoying working on.

Lynq is a Kubernetes operator that I am building on my own. While operating it, I kept running into a familiar DevOps problem. Once an operator is deployed, understanding what it is actually doing becomes harder than expected.

You can check pod status and logs, but questions like which resources are being managed, how they are connected, and what state the operator thinks they are in are not easy to answer quickly.

So I started building a small dashboard focused on operators.

The idea is to make day to day operator operations a bit more pleasant by:

* Showing relationships between operator managed resources
* Making current state and behavior easier to grasp
* Reducing the need to constantly jump between kubectl commands and logs

This is still early stage and not widely used at all. It is mostly a personal project, but I am excited about how it is shaping up and wanted to share it with the DevOps community.

I wrote a short blog post with screenshots and more details here: [https://lynq.sh/blog/introducing-lynq-dashboard](https://lynq.sh/blog/introducing-lynq-dashboard)

I would love to hear how others operate and debug their Kubernetes operators, and what kind of visibility you wish you had.

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

How to reduce api management costs for enterprise?

Our api management costs are getting out of control. We're spending way too much across apigee licensing, aws data transfer, and the team maintaining it all. We have around 200 apis serving internal teams and external partners, traffic is maybe 500M calls per month not massive but not small either.

The biggest cost drivers seem to be: apigee license, data transfer between regions, paying a vendor for ddos protection and three people spending 30% of their time just keeping it running

I looked at moving to aws api gateway but the per request pricing would actually cost us more at our volume azure apim has similar issues.

Anyone has managed to reduce these costs significantly without sacrificing reliability or features. Different vendors that are less expensive at scale? better ways to handle cross region traffic

I’m not looking to cheap out on something critical but this feels excessive for what we're getting, would love to hear what are you all doing.

https://redd.it/1ptjl69
@r_devops

AI makes coding insanely fast.


Right up until you run the thing.

Then it’s a wall of errors from code you didn’t fully write or fully understand, because half the logic was confidently invented. What was supposed to be a quick noscript turns into hours of debugging, refactoring, and figuring out why a small change nuked your environment.

Tools like ChatGPT help with speed, and I’ve found things like Cosine useful for tracing through larger codebases and understanding how pieces are wired together but none of it replaces actually knowing what the system is doing.

AI saves time on typing. It doesn’t save you from thinking.

https://redd.it/1ptmj51
@r_devops

https://github.com/LOLA0786/Intent-Engine-Api

I’ve been working on a small API after noticing a pattern in agentic AI systems:

AI agents can trigger actions (messages, workflows, approvals), but they often act without knowing whether there’s **real human intent or demand** behind those actions.

**Intent Engine** is an API that lets AI systems check for live human intent before acting.

**How it works:**

* Human intent is ingested into the system
* AI agents call `/verify-intent` before acting
* If intent exists → action allowed
* If not → action blocked

Example response:

{
"allowed": true,
"intent_score": 0.95,
"reason": "Live human intent detected"
}


The goal is not to add heavy human-in-the-loop workflows, but to provide a lightweight signal that helps avoid meaningless or spammy AI actions.

The API is simple (no LLM calls on verification), and it’s currently early access.

Repo + docs:
[https://github.com/LOLA0786/Intent-Engine-Api](https://github.com/LOLA0786/Intent-Engine-Api)

Happy to answer questions or hear where this would / wouldn’t be useful.

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

Best IaC platforms?


I am evaluating a few IaC platforms to sit on top of Terraform/OpenTofu for a multi‑cloud setup (AWS + Azure, possibly GCP later). The key technical requirement we have rn is to have a central layer for policy‑as‑code and guardrails across clouds, with drift detection that can raise PRs for remediation and a self‑service flow where app teams request environments through Terraform modules without editing raw HCL directly. One other big consideration for me is avoiding unnecessary abstraction. Ideally and if possible, the platform should have easy onboarding, simple integration with cloud providers and VCS, and not introduce overly complex access/auth models or identity layers that drive up overhead. I’m looking for something that enhances IaC workflows without becoming another system I have to maintain.

Right now I am looking at some of these options:

Firefly: Multi‑cloud platform with inventory and codification with Guardrails, policy‑as‑code, and drift remediation that opens PRs

Spacelift: Terraform/OpenTofu automation tool with flexible pipelines, strong VCS/CI integration, and policy hooks

env0: Platform with seemingly more emphasis on environment management, cost controls, and approvals around Terraform workspaces and modules

If you have experience using any of these for multi‑cloud governance, self‑service environments, etc., how well did they handle these things?

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

Best Terraform Cloud Alternative?

looking for a Terraform Cloud alternative for large team using multi‑cloud setup. We manage a few hundred workspaces across AWS and Azure with remote state, policy checks, and cost visibility wired into CI, but Terraform Cloud pricing and org limits are becoming an issue. What are people using instead to handle workspace orchestration, state storage, drift detection, and policy enforcement at this scale, preferably with SSO and audit logs built in?

https://redd.it/1pto5h1
@r_devops

How does adding monitoring/alerts process looks like in your place

I am trying to understand how SMB's are handling their Grafana / Datadog / Groundcover
dashboards, panels, alerts at scale.

furthermore, I try to understand how goes the "what should I monitor", "on what should be alert and at which treshold?"

how this process goes in your company?

is it:
1. having an incident
2. understanding which metric/alert was missing in order to detect earlier/prevent
3. add this metric, add the dashboard/panel and an alert?

is it also:
1. map on a regular basis (monthly) your current "production" infra/services/3rd parties
2. understand consequences, and create relevant alerts both app and infra?



wish to shed some light on it in order to streamline this process where I work

https://redd.it/1ptq8fl
@r_devops

Do you use paid tools for API testing?

We have been using Postman's free plan for API testing for a long time but we feel that it has become quite restrictive with limits on the number of users, collection runs etc.
I want to understand if it's worth upgrading to their paid plan or moving to some other tool?

View Poll

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

I want out

Maybe a grass is greener on the other side issue. But I’m so tired of being treated as a drain on the company.

It’s the classic, everything’s working, why do we need you, something broke it’s your fault.
Then there’s the additional why is your work taking you so long.

Gee maybe it’s because every engineer wants improvements but that’s not their job, that’s OPS work. Give it to one of the 3 OPS engineers.

So what can I do? Is there a lateral shift that would let me try and maintain a similar 150-200k salary range?

I hated school. Like I’ll suffer if that’s what’s required. But I’d prefer not. Maybe sales for a SAAS company? Or recruitment? I just want to be treated like an asset man.

https://redd.it/1pty4ok
@r_devops

Luxury Yacht, a Kubernetes management app

Hello, all. Luxury Yacht is a desktop app for managing Kubernetes clusters that I've been working on for the past few months. It's available for macOS, Windows, and Linux. It's built with Wails v2. Huge thanks to Lea Anthony for that awesome project. Can't wait for Wails v3.

This originally started as a personal project that I didn't intend to release. I know there are a number of other good apps in this space, but none of them work quite the way I want them to, so I decided to build one. Along the way it got good enough that I thought others might enjoy using it.

Luxury Yacht is FOSS, and I have no intention of ever charging money for it. It's been a labor of love, a great learning opportunity, and an attempt to try to give something back to the FOSS community that has given me so much.

If you want to get a sense of what it can do without downloading and installing it, read the primer. Or, head to the Releases page to download the latest release.

Oh, a quick note about the name. I wanted something that was fun and invoked the nautical theme of Kubernetes, but I didn't want yet another "K" name. A conversation with a friend led me to the name "Luxury Yacht", and I warmed up to it pretty quickly. It's goofy but I like it. Plus, it has a Monty Python connection, which makes me happy.

https://redd.it/1pu1o6t
@r_devops

github-ci: Lint your GitHub Actions workflows and auto-upgrade to latest versions

https://github.com/reugn/github-ci



I've been spending time managing GitHub Actions workflows manually across different projects. I built this tool to automate some of that and make it less tedious. If you find it useful, let me know - I'm planning to add more features over time, so contributions are welcome.

https://redd.it/1pu3beq
@r_devops

Gitea actions - multi repo

Hello all,
I am working on multi repo project, and at the moment I am struggling with unifying local build and build in Gitea actions.

Main problem is access to other repos from Gitea actions.
For local build cmake with FetchContent is working, but it cannot work in Gitea actions since all repos are private and runner-s ssh pub key is not in list of approved keys.

At the moment i have solution that I don't like but I had to unblock others, solution is to have multiple checkout-s, and with them to download all needed repos. Main problem is that versions of other repos must be maintained on two places and it is ok for now, but in the future it will be problem.

Can anyone help me to find better solution?

https://redd.it/1pu4evt
@r_devops

Is ELK Stack still relevant?

I have been learning docker for the past month or so. The resource for my learning has been The Ultimate Docker Container book. For most parts it is okay but some of its content has been outdated one being the part where it talks about ELK. I have been struggling to find recent resources that will make me understand Shipping Logs and Monitoring Containers using the ELK stack.

Is it not getting used in the industry anymore? What are you guys using?

https://redd.it/1pu28v7
@r_devops

Senior Salesforce DevOps (8 yrs) planning transition to AWS/Kubernetes DevOps — what depth is expected?

I have total 8 years of experience and 5 years of experience in Salesforce DevOps (GitLab CI/CD, Copado, shell noscripting).

With Salesforce budgets tightening in the Indian market, I’m planning a transition toward core platform DevOps roles involving AWS, Kubernetes, and infrastructure automation.

What I’m trying to understand from people who’ve made a similar move in India:

• What level of AWS + Kubernetes depth was actually evaluated in interviews?

• What kind of infra or platform projects helped you stand out?

• What knowledge gaps surprised you during the transition?

I’m planning to spend 6 months building real systems (not tutorial-level setups) and want to align my learning with what hiring managers in India actually value.



https://redd.it/1ptvqk6
@r_devops

Migrating from C# CDKTF to Native TF

One of our goals is to migrate from our existing C# CDKTF to native TF. With the deprecation of CDKTF, and given the massive amount of drift that we have, this is likely to be a large undertaking.

For those that have migrated.. what was your experience in using CDKTF synth and what are your thoughts on using that as a starting point versus having some AI, like Claude do the analysis and conversion?

Am I correct in understanding that with cdktf synth —hcl that we can continue to use the existing state files without importing all our resources manually, or is that incorrect?

https://redd.it/1pua22y
@r_devops

AI testing tools keep popping up, which ones actually reduced toil in your pipeline?

Every now and then there’s another wave of AI-powered testing tools claiming they’ll fix flaky tests, speed up feedback, or reduce manual QA. In isolation, a lot of them look fine. Once they hit a real pipeline with real apps, real UIs, and real failure modes… not so much.

For teams running CI/CD at any reasonable scale: did any AI-assisted testing tools actually reduce operational pain for you? As in fewer broken builds, less babysitting, and better signal.

\+ where did things fall apart? was it maintenance overhead, flaky UI stages, tools that worked on APIs but fell over on real workflows, or just another thing to keep running??

https://redd.it/1puc9g7
@r_devops

Dear Tenable: Please get your shit together

The amount of time I have to spend talking to our internal compliance team and fixing your shitty audit files is too damned high. The bash noscript provided for a STIG audit check going out of it's way to look for port numbers to verify that a config file contains "\^Banner /etc issue.net" ... I'm sorry... Were you paying the person who wrote that by the character? Cause they shit out a turd that just makes my life miserable. Don't over complicate your damned checks.


Also whoever came up with the idea of putting bash noscripts in XML... please just... fire them. They're a horrible person. Or if it was a team effort, shit-can the lot of them. That whole idea is damn near a war-crime committed on the entirety of the infosec community.


Signed by a person who just wants his pipelines to stop failing because of Tenable being ass.

https://redd.it/1pudn1w
@r_devops

Why is sms so hard now

We’re trying to fix tier 0 alerts because slack is too noisy at 3am, but the carrier red tape for sms is insane. our "low volume" 10dlc campaigns keep getting stuck in manual review for weeks.

I’m testing an api that handles the compliance on its end so we can just pipe alerts through instantly.

How are you guys routing priority alerts to your team in 2026? are you fighting carriers or looking for a way to outsource the compliance?

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

My learning path stopped being linear

I'm currently at a stage where my DevOps learning is no longer a "pick a tool → master it → move on" pattern. Early in my career, progress was obvious. Learn Docker. Learn Terraform. Improve CI/CD skills. Handle on-call duties confidently. Each step had clear signals that you were "leveling up." But the longer I've been in this industry, the weaker those signals have become.

Most of my growth now comes from ambiguous situations. Design reviews with unclear requirements. Stakeholders changing priorities mid-quarter. Post-mortems where no individual mistakes yet the system still crashed. These moments force you to articulate the reasons behind your choices.

This is also where AI is starting to appear in my workflow; I use it to help me with reviews.Because more and more situations aren't simply solved by mastering a skill. It ultimately comes down to soft skills. I'm becoming the kind of manager I used to dislike, haha. I interact with more people than I use tools every day. I'm currently preparing for a job change, and I've noticed my preparation process is different this time. While I still use resources like Indeed or IQB interview question banks and GPT or Beyz coding assistant for mock interviews, the goal this time is to slow down and make my reasoning process clearer. AI can speed up execution, but I feel that senior engineers need slower, clearer thinking for growth. This isn't something that can be easily quantified by how many problems you've solved or how many projects you've led. Even the feedback is much more ambiguous than learning a new tool.

I'm still unsure what the "correct" learning path looks like at this stage. It feels like becoming a sponge absorbing and disseminating information. The influencing factors and things to balance have become much more numerous than before. Where are the boundaries of this career development/promotion noscript? I recently saw an interesting analogy: we are a collection of cells constantly controlling the influx and efflux of new and old matter. So how do we determine "new" and "old" in our growth?

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

Help with OS Orchestration

I’m interested in building a malware analysis sandbox. For each analysis run, I need to automatically provision a fresh virtual machine, execute a malware sample, collect results, and then fully destroy the environment. The sandbox should support multiple operating systems such as Windows, Linux, macOS, and Android.

My main focus is on the orchestration layer, specifically, which technologies or tech stacks can be used to automate the deployment, execution, isolation, and teardown of these environments efficiently and securely.

https://redd.it/1pugxh0
@r_devops