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The Complete Guide to Choose a Deployment Automation Platform for Microservices Stack

Over the last few years, I’ve tested multiple deployment automation platforms for my team’s projects from bootstrapped MVPs to growing SaaS tools.

And here’s the truth: what works for monoliths often breaks for microservices.

So if you’re building on microservices in 2025, and you’re trying to pick a deployment platform, this guide’s for you.

Understanding deployment automation in microservices

Deployment automation involves using tools and systems to automatically move code changes through testing, staging, and production environments.

In a microservices architecture, where applications are broken down into smaller, independent services, automation ensures consistency, reduces errors, and accelerates delivery.

Key criteria for Selecting a Deployment Automation Platform

When evaluating deployment automation platforms for microservices, consider the following factors:

  1. Scalability: Can the platform handle the growth of your services without significant reconfiguration?
  2. Integration Capabilities: Does it integrate seamlessly with your existing tools and workflows?
  3. Ease of Use: Is the platform user-friendly, or does it require steep learning curves?
  4. Customization and Flexibility: Can it be tailored to fit your specific deployment needs?
  5. Cost Efficiency: Does it provide value for money, considering both upfront and ongoing costs?

After trying different tools for years from Heroku to Kubernetes, and even hand-rolled CI/CD setups, we built Kuberns because we couldn’t find a platform that was truly built for microservices developers.

Kuberns Home Page

And here’s how Kuberns stacks up against the five essential criteria:

1. Scalability

Kuberns scales effortlessly, not just at the app level, but at the service level. Whether you're running 3 services or 300, you can scale them independently based on traffic or memory usage.

  • Scale individual microservices with isolated CPU/RAM allocation
  • Auto-scale based on load, without lifting a finger
  • Rollback or redeploy any service independently without affecting the rest

2. Integration Capabilities

Kuberns is built to plug into your Git-based workflow. You don’t need to change your tools, just connect your GitHub repo and we take care of the rest.

  • GitHub/GitLab repo integration with one click
  • Environment variables, .env file support
  • Automatic build + deploy from pushes to selected branches

3. Ease of Use

No YAML. No Dockerfile. No DevOps certifications required.

Kuberns is simple enough for solo devs, powerful enough for scaling teams.

  • A clean, intuitive dashboard to manage services, logs, environments
  • Default build pipelines that just work (custom scripts optional)
  • One-click rollback, real-time logs, and memory usage tracking
  • “Deploy in under 15 minutes”, even for complex apps

4. Customization and Flexibility

Need post-build scripts? Conditional environments? Custom domains?

Kuberns offers flexibility without overwhelming you with complexity.

  • Support for pre/post build scripts and runtime commands
  • Add or remove services like databases, workers, queues on demand
  • Connect custom domains, enable SSL in a few clicks
  • Override runtime settings via the dashboard or repo config

5. Cost Efficiency

We built Kuberns to save up to 40% on AWS bills, while charging zero platform fees.

  • No extra charges on top of your cloud bill
  • Real-time optimization of your infra to cut idle costs
  • Built-in analytics to spot resource waste
  • Predictable pricing that scales with your actual usage

Why kuberns is built for modern microservices?

If you're looking for:

  • One-click microservice deployments
  • Effortless scaling without YAML or scripts
  • Real-time observability
  • Serious cost savings (up to 40% AWS discount)
  • Fast rollback and simplified CI/CD workflows

...then Kuberns is what you’ve been searching for.

We built it because we lived the problem ourselves.

👉 Ready to try it?

Let me know in the comments: what’s been your biggest pain point in deploying microservices?

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