Should You Containerize Your Application?
Answer 8 quick questions about your application and team to get an honest assessment, effort estimates, and actionable recommendations. No Kubernetes hype. Just practical advice.
Containerization Readiness Assessment
Not every application benefits from containerization. This assessment evaluates key factors to help you make an informed decision and understand the effort involved.
What you'll learn:
- Whether containerization makes sense for your specific application
- Factor-by-factor breakdown with actionable insights
- Estimated effort and timeline for containerization
- Practical next steps and platform recommendations
Takes about 2 minutes • 8 questions
What type of application are you considering containerizing?
Select the option that best describes your application.
Containerization makes sense for your application with clear benefits and manageable effort.
Why Containerization Makes Sense for You
Potential Challenges
Estimated Effort
Typical timeline: 2-4 weeks
This includes Dockerfile creation, CI/CD integration, testing, and initial deployment.
Recommended Next Steps
Factor Analysis
AI Containerization Assistant Prompt
Copy this prompt to discuss your results with an AI assistant
Use this prompt with Claude, ChatGPT, Gemini, or any AI assistant to get personalized containerization guidance.
What Makes an Application Containerization-Ready?
Strong Candidate
- Frequent deployments (weekly or more)
- Environment consistency issues
- Stateless or easily externalized state
- Standard runtime (Node.js, Python, Java, .NET)
- Team familiar with Docker basics
Consider Carefully
- Heavy reliance on local file storage
- OS-level dependencies or custom drivers
- Legacy monoliths with tight coupling
- Infrequent deployments
- Limited team Docker experience
Understanding the Assessment Factors
Application Type (15%)
Modern web apps and APIs containerize easily; legacy monoliths require more effort.
Runtime & Language (10%)
Standard runtimes (Node.js, Python, Java, .NET) have excellent container support.
Deployment Frequency (15%)
Frequent deployments benefit most from containerization's consistency and automation.
Dependencies (15%)
Local file storage and OS-level dependencies require refactoring before containerization.
Environment Consistency (15%)
"Works on my machine" issues are a strong indicator that containers will help.
Scaling Needs (10%)
Predictable or spiky traffic patterns benefit from container orchestration.
Current Hosting (10%)
VM-based or on-prem deployments are good candidates for containerization.
Team Readiness (10%)
Docker familiarity reduces learning curve; CI/CD experience accelerates adoption.
Want a Real Assessment?
This tool gives a quick directional answer. We help teams design containerization strategies that actually work in production. No Kubernetes hype, just practical solutions.
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