Looking for Freelance Opportunities - Kubernetes | DevOps | Platform Engineering

I hope you're doing well.

I’m a certified Kubernetes professional (CKA & CKS) with over 6 years of experience in Platform Engineering, DevOps, SRE, and System Engineering. I've worked across multiple domains and tech stacks, helping teams build reliable, scalable, and secure infrastructure & Platforms.

Currently, I have some availability and am open to taking on a few freelance projects. Whether it’s Kubernetes setups, CI/CD pipelines, infrastructure automation, or cloud-native solutions.

If you know of any opportunities or are looking for someone to support your team on a short-term or project basis, I’d really appreciate it if you could reach out or refer me.

Thank you so much for your time and support! :-)

https://redd.it/1mh88x1
@r_devops

Is my Bitbucket pipeline YAML file good? Would love feedback!

Hey folks 👋

I'm working on a Bitbucket pipeline for a Node.js project and wanted to get some feedback on my current bitbucket-pipelines.yml file. It runs on pull requests and includes steps for installing dependencies, running ESLint and formatting checks, validating commit messages, and building the app.

Does this look solid to you? Are there any improvements or best practices I might be missing? Appreciate any tips or suggestions 🙏

image: node:22

options:
size: 2x

pipelines:
pull-requests:
"":
- step:
name: Install Dependencies
caches:
- node
script:
- echo "Installing dependencies..."
- npm ci
- echo "Dependencies installed successfully!"
artifacts:
- nodemodules/**
- parallel:
- step:
name: Code Quality Checks
script:
- echo "Running ESLint..."
- npm run eslint
- echo "Checking code formatting..."
- npm run format:check
- step:
name: Validate Commit Messages
script:
- echo "Validating commit messages in PR..."
- npm run commitlint -- --from origin/$BITBUCKETPRDESTINATIONBRANCH --to HEAD --verbose
- step:
name: Build Application
script:
- echo "Building production application..."
- npm run buildProd

https://redd.it/1mh8ub4
@r_devops

Tracing stack advise for large Java monolith

Hi all,

I have ~70 app servers running a big Java monolith. While it’s technically one app, each server has a different role (API, processing, integration, etc.).

I want to add a tracing stack and started exploring OpenTelemetry. The big blocker? It requires adding spans in the code. With millions of lines of legacy Java, that’s a nightmare.

I looked into zero-code instrumentation, but I’m not confident it’ll give me what I want—specifically being able to visualize different components (API vs. processing) cleanly in something like Grafana.

Has anyone faced something similar? How did you approach it? Any tools/strategies you’d recommend for tracing with minimal code changes?

https://redd.it/1mhbgh4
@r_devops

Beta testers wanted: CLI tool to detect DB schema drift across Dev, Staging, Prod – Git-workflow, safe, reviewable. Currently MSSQL and MySQL

I’ve been working on a CLI tool called dbdrift – built to help track and review schema changes in databases across environments like Dev, Staging, Prod, and even external customer instances.

The goal is to bring Git-style workflows to SQL Server and MySQL schema management:

\- Extracts all schema objects into plain text files – tables, views, routines, triggers
\- Compares file vs. live DB and shows what changed – and which side is newer
\- Works across multiple environments
\- DBLint engine to flag risky or inconsistent patterns

It’s standalone (no Docker, no cloud lock-in), runs as a single binary, and is easy to plug into existing CI/CD pipelines – or use locally (win/linux/macosx).

I’m currently looking for beta testers who deal with:

Untracked schema changes
db struct breaking changes
database reviews before deployment
database SQL code lint process

Drop a comment or DM if you’d like to test it – I’ll send over the current build and help get you started. Discord also available if preferred.

https://redd.it/1mhd4ba
@r_devops

I had no idea how to start learning AWS, here’s what actually helped me

When I first tried to learn AWS, I felt completely lost. There were all these services — EC2, S3, Lambda, IAM and I had no clue where to begin or what actually mattered. I spent weeks just jumping between random YouTube tutorials and blog posts, trying to piece everything together, but honestly none of it was sticking.

someone suggested I should look into the AWS Solutions Architect Associate cert, and at first I thought nah, I’m not ready for a cert, I just want to understand cloud basics. But I gave it a shot, and honestly it was the best decision I made. That cert path gave me structure. It basically forced me to learn the most important AWS services in a practical way like actually using them, not just watching videos understanding the core concepts.

Even if you don’t take the exam, just following the study path teaches you EC2, S3, IAM, and VPC in a way that actually makes sense. And when I finally passed the exam, it just gave me confidence that I wasn’t totally lost anymore, like I could actually do something in the cloud now and i have learned something.

If you’re sitting there wondering where to start with AWS, I’d say just follow the Solutions Architect roadmap. It’s way better than going in blind and getting overwhelmed like I did. Once you’ve got that down, you can explore whatever path you want like DevOps, AI tools, whatever you want but at least you’ll know how AWS works at the core.

also if anyone needs any kind of help regarding solution architect prep you can get in touch...

https://redd.it/1mhewp9
@r_devops

Mid-30s+ Engineers: How are you preparing for the AI revolution? Feeling behind and anxious

I'm an automation engineer with about 10+ years of experience working at a media agency. My day-to-day involves building internal tools, process automation, and managing data pipelines, but nothing crazy. I'm not in any leadership position currently, and my domain is media/marketing tech rather than core tech product companies. my main skills are in Python and Cloud.

With all the AI developments happening lately, I'm genuinely concerned about where my career is heading. The main issue I'm facing is a skills gap - my current role doesn't involve AI or machine learning at all. While I'm decent at what I do, I can't shake the feeling that I'm not building future-ready skills. Being in a media agency makes it even more challenging because there aren't many opportunities to transition into AI-focused roles internally.

I'm hoping to get advice from folks who might have gone through something similar. Has anyone here made a transition from traditional automation work to AI-related roles? How did you manage it? Should I focus on becoming really excellent at my current automation and DevOps skills, or should I try to pivot completely into AI? Are there specific areas where my automation experience might actually be valuable in AI workflows?

For anyone who switched career tracks in their 30s, I'd really appreciate some practical advice on managing this kind of transition. I'm not panicking about it, but I definitely want to make smart decisions for the next 5-10 years of my career. Thanks in advance for any insights you can share!

P.S. I used AI to help improve this post.

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

Best practices for migrating manually created monitors to Terraform?

Hi everyone,

We're currently looking to bring our manually created Datadog monitors under Terraform management to improve consistency and version control. I’m wondering what the best approach is to do this.

Specifically:

Are there any tools or scripts you'd recommend for exporting existing monitors to Terraform HCL format?
What manual steps should we be aware of during the migration?
Have you encountered any gotchas or pitfalls when doing this (e.g., duplication, drift, downtime)?
Once migrated, how do you enforce that future changes are made only via Terraform?

Any advice, examples, or lessons learned from your own migrations would be greatly appreciated!

Thanks in advance!

https://redd.it/1mhho6n
@r_devops

AWS RDS granular backup

Currently, our company manages all RDS backups using snapshots for PostgreSQL, MySQL, Oracle, and SQL Server. However, we've been asked to provide more granular backup capabilities — for example, the ability to restore a single table.

I'm considering setting up an EC2 instance to run scripts that generate dumps and store them in S3. Does this approach make sense, or would you recommend a better solution?

https://redd.it/1mhhbr5
@r_devops

Helm gets messy fast — how do you keep your charts maintainable at scale?

One day you're like “cool, I just need to override this value.”
Next thing, you're 12 layers deep into a chart you didn’t write… and staging is suddenly on fire.

I’ve seen teams try to standardize Helm across services — but it always turns into some kind of chart spaghetti over time.

Anyone out there found a sane way to work with Helm at scale in real teams?

https://redd.it/1mhben0
@r_devops

Careers UK?

Had a couple of job offers but nothing major in the past few months. 2 years of experience, reckoning I could achieve £60k.

LinkedIn and Indeed just aren’t cutting it anymore for me. I’ve also found applying direct to company gives me more success than recruiters reaching out about FinTech jobs all the time. What do people use in the UK for looking for jobs?

https://redd.it/1mhp1em
@r_devops

Generalize or Specialize?

I came across an ever again popping up question I'm asking to myself:

"Should I generalize or specialize as a developer?"

I chose developer to bring in all kind of tech related domains (I guess DevOps also count's :D just kidding). But what is your point of view on that? If you sticking more or less inside of your domain? Or are you spreading out to every interesting GitHub repo you can find and jumping right into it?

https://redd.it/1mhsle9
@r_devops

Anyone found a stable way to run GPU inference on AWS without spot interruptions?

We’re running LLM inference on AWS with a small team and hitting issues with spot reclaim events. We’ve tried capacity-optimized ASGs, fallbacks, even checkpointing, but it still breaks when latency matters.

Reserved Instances aren’t flexible enough for us and pricing is tough on on-demand.

Just wondering — is there a way to stay on AWS but get some price relief and still keep workloads stable?

https://redd.it/1mhu165
@r_devops

Most common Startup Problem - Want to rotate a secret ? - But not knowing where that secret actually existed across our codebase.

Does any paid or free tool offer this solution in appsec space ?

We have recently integrated this feature with DefendStack-Suite asset inventory, we were just trying to solve a problem for one startup.

https://redd.it/1mi072h
@r_devops

Indexing issue on my laravel website

Hey everyone, I’ve recently launched a website built with Laravel, but I'm facing issues with getting it indexed by Google. When I search, none of the pages appear in the search results. I’ve submitted the site in Google Search Console and even tried the URL inspection tool, but it still won’t index. I’ve checked my robots.txt file and meta tags to make sure I’m not accidentally blocking crawlers, and I’ve also generated a proper sitemap using Spatie’s Laravel Sitemap package. The site returns a 200 status code and appears to be mobile-friendly. Still, nothing shows up in the index. Has anyone faced similar issues with Laravel SEO or indexing? Any advice or fixes would be appreciated!


https://redd.it/1mi1fzd
@r_devops

Manager gave bad reviews for getting too involved in code level details

So basically what the title says, my manager gave me a 3/5 rating on satisfaction and his remarks were that I get involved in code level details which is the work of the developers. What even is DevOps then ?? Why the fuck won't I check the code to get an overall understanding of the project, later if anything goes wrong in deployment they'll blame the DevOps people.idk man my company has a totally different understanding of what DevOps means, hardly includes me in regular project meetings . To make it clear i don't mess with the code, I just ask questions related to the app logic or something necessary for the pipeline or cloud infra .

https://redd.it/1mi275k
@r_devops

We built a software that lets you shutdown your unused non-prod environments!

I am so excited to introduce **ZopNight** to the Reddit community.

It's a simple tool that connects with your cloud accounts, and lets you shut off your non-prod cloud environments when it’s not in use (especially during non-working hours).

It's straightforward, and simple, and can genuinely save you a big chunk off your cloud bills.

I’ve seen so many teams running sandboxes, QA pipelines, demo stacks, and other infra that they only need during the day. But they keep them running 24/7. Nights, weekends, even holidays. It’s like paying full rent for an office that’s empty half the time.

A screenshot of ZopNight's resources screen

Most people try to fix it with cron jobs or the schedulers that come with their cloud provider. But they usually only cover some resources, they break easily, and no one wants to maintain them forever.

This is ZopNight's resource scheduler

That’s why we built **ZopNight**. No installs. No scripts.

Just connect your AWS or GCP account, group resources by app or team, and pick a schedule like “8am to 8pm weekdays.” You can drag and drop to adjust it, override manually when you need to, and even set budget guardrails so you never overspend.

Do comment if you want support for OCI & Azure, we would love to work with you to help us improve our product.

Also proud to inform you that one of our first users, a huge FMCG company based in Asia, scheduled 192 resources across 34 groups and 12 teams with ZopNight. They’re now saving around $166k, a whopping 30 percent of their entire bill, every month on their cloud bill. That’s about $2M a year in savings. And it took them about 5 mins to set up their first scheduler, and about half a day to set up the entire thing, I mean the whole thing.

This is a beta screen, coming soon for all users!

It doesn’t take more than 5 mins to connect your cloud account, sync up resources, and set up the first scheduler. The time needed to set up the entire thing depends on the complexity of your infra.

If you’ve got non-prod infra burning money while no one’s using it, I’d love for you to try ZopNight.

I’m here to answer any questions and hear your feedback.

We are currently running a waitlist that provides lifetime access to the first 100 users. Do try it. We would be happy for you to pick the tool apart, and help us improve! And if you can find value, well nothing could make us happier!

**Try ZopNight today!**

https://redd.it/1mi2gmx
@r_devops

DevOps just got easier: Free AI agent for system & cloud configs - try it out!

Hey everyone,

I’m excited to share Configen – a fully free AI agent designed to automate and simplify configuration across PCs and cloud environments. Configen acts as your personal AI assistant for managing configs, automating workflows, and keeping your system in top shape with minimal manual effort.

I’m looking for:

Feedback – what sucks, what’s missing, what’s cool?

A technical cofounder (if you’re into AI/automation)

Anyone who wants to test or help out!

Let's connect!

https://redd.it/1mi500f
@r_devops

Looking for a technical Co-Founder (AI Stripe Extension for startups)

I am looking for a co-founder.

Project: AI Stripe Extension for startups



Requirements:

\- Over 25 years old

\- From Europe or North America

\- Software developer

\- At least one presentable project with users.

\- Extensive experience with Stripe pricing integration.



DM me for further details.

Thanks

https://redd.it/1mi6l3y
@r_devops

How to test serverless apps like AWS Lambda Functions

We have Data syncing pipeline from Postgres(AWS Aurora ) to AWS Opensearch via Debezium (cdc ) -> kakfa ( MSK ) -> AWS Lambda -> AWS Opensearch.



We have some complex logic in Lambda which is written in python. It contains multiple functions and connects to AWS services like Postgres ( AWS Aurora ) , AWS opensearch , Kafka ( MSK ). Right now whenever we update the code of lambda function , we reupload it again. We want to do unit and integration testing for this lambda code. But we are new to testing serverless applications.



On an overview, I have got to know that we can do the testing in local by mocking the other AWS services used in the code. Emulators are an option but they might not be up to date and differ from actual production environment .



Is there any better way or process to unit and integration test these lambda functions ? Any suggestions would be helpful

https://redd.it/1mi7doj
@r_devops

We spent weeks debugging a Kubernetes issue that ended up being a “default” config

Sometimes the enemy is not complexity… it’s the defaults.

Spent 3 weeks chasing a weird DNS failure in our staging Kubernetes environment. Metrics were fine, pods healthy, logs clean. But some internal services randomly failed to resolve names.

Guess what? The root cause: kube-dns had a low CPU limit set by default, and under moderate load it silently choked. No alerts. No logs. Just random resolution failures.

Lesson: always check what’s “default” before assuming it's sane. Kubernetes gives you power, but it also assumes you know what you’re doing.

Anyone else lost weeks to a dumb default config?

https://redd.it/1mi8xp6
@r_devops

I started posting on youtube and an unexpected outcome has been some of the easiest interviews of my career

https://youtu.be/mE8Xmkk\_qSw

https://redd.it/1mi6jdo
@r_devops