We Faced These 4 Deployment Automation Challenges—Here’s What Fixed Them

I used to think setting up automated deployments would save us time.

But for a while, it did the opposite.

Our team had just launched a couple of microservices and a dashboard for internal use. Nothing huge, but managing deployments quickly turned into a mess of broken configs, confusing cloud errors, and “it worked yesterday” moments.

It wasn’t that we were doing anything unusual - we just didn’t realize how many little things could go wrong until we tried to automate it ourselves.

Here are 4 deployment automation challenges we faced and how Kuberns helped us get back on track with a simpler, smarter approach.

1. YAML everywhere, and it still didn’t work

We started with GitHub Actions + Kubernetes. Sounded clean on paper, except we spent more time tweaking .yaml files than writing code.

A single typo would break the whole pipeline, and no one on our team was excited to debug helm errors at 11 PM.

✅ What Fixed It:

Zero-config deployments via Kuberns

Kuberns auto-detects your stack and builds everything without asking you to write or maintain any YAML.

We literally just connected our GitHub repo and hit deploy. It took minutes - not hours - and it worked on the first try.

You can read more in their auto-deployment setup guide (no Jenkins required).

2. Cloud bills were creeping up (fast)

We didn’t think about cost optimization at first. But by month three, our AWS bill doubled and we had no idea why until we came across some resources that helped us understand it.

Most of it was compute, and we weren’t even using the resources 24/7.

✅ What Fixed It:

Smarter cost control through pooled AWS discounts

Kuberns offers up to 40% lower compute pricing by pooling resources across users and getting volume discounts from AWS.

The best part? There are no platform fees or markups. We actually saw our cloud bill drop without changing a single line of code.

3. Too much time spent on “Infra Stuff”

As developers, we wanted to ship code, not maintain pipelines. But with every deployment depending on configurations, infrastructure scripts, and manual tuning, we ended up spending 20–30% of our time just keeping things running.

✅ What Fixed It:

Simple workflows built for fast-moving teams

With Kuberns, deployments became a background task. We’d push code, and everything else from build to deploy to uptime monitoring, just worked. No switching between 4 different tools or checking logs across services.

4. Secret management was a nightmare

Some secrets were in .env files. Some in GitHub secrets. Others were… lost in Slack messages. That led to a broken deploy in production because we were referencing an old variable that didn’t exist anymore.

✅ What Fixed It:

Built-in secrets manager with scoped environments

Kuberns has encrypted, per-deployment secrets management built in. No third-party tool. No more “oops, wrong key” moments. We just add secrets in the dashboard, and they show up exactly where we need them - nowhere else.

Final Thoughts

We didn’t want to become DevOps pros. We just wanted to ship features without breaking things every other week.

Kuberns helped us move past the frustrating parts of deployment - without forcing us to learn new tools or write extra code. If your team’s tired of duct-taping CI/CD workflows, it's worth trying a platform that just... works.