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CDE vs Alternatives

Cloud Development Environments compared to local development, DevContainers, VDI, SSH, and traditional approaches

Development Environment Approaches

There are many ways to set up developer environments. Each has strengths and weaknesses. This guide helps you choose based on your security, compliance, team size, and infrastructure needs.

CDE vs Local Development Traditional laptop-based coding

Local Development: Developers install tools directly on their laptop (macOS, Windows, Linux). Clone Git repos, install runtimes (Node.js, Python, Java), run databases, and execute builds locally. The original development model.

When it makes sense: Solo developers, offline work, simple projects with no compliance requirements, teams with identical hardware.

Local Development

Works offline - no internet required
Zero latency - instant IDE response
Full control over environment
No cloud costs - use existing hardware
Mature workflow - decades of tooling
"Works on my machine" syndrome - environment drift
Security risk - source code on laptops
Onboarding takes 1-3 days (dependency hell)
Hardware limitations - no GPU/high RAM workloads
Lost laptops = lost IP - data exfiltration risk

Cloud Development Environment

Code never on laptop - stays in VPC/data center
Standardized environments - no drift
Onboarding in minutes - spin up pre-configured workspace
Unlimited resources - scale CPU/RAM/GPU as needed
Compliance-friendly - HITRUST, SOC2, GDPR
Requires internet connection - network dependency
Slight latency - depends on network speed
Cloud costs - infrastructure needed
Platform engineering required - team needs expertise

Verdict: CDEs win for teams with security/compliance needs or scaling challenges. Local dev wins for solo developers and offline-first workflows.

CDE vs Local DevContainers VS Code + Docker Desktop locally

Local DevContainers: Docker containers running on your laptop via Docker Desktop. VS Code Remote Containers extension connects your IDE to the container. You get reproducible environments without leaving your machine.

When it makes sense: Teams wanting reproducibility without cloud infrastructure. Good for macOS/Linux users with modern laptops.

Local DevContainers

Reproducible - same container for everyone
Works offline - containers run locally
No cloud costs - free Docker Desktop
Fast startup - containers boot in seconds
DevContainer standard - portable configs
Code still on laptop - security risk
Docker Desktop required - licensing costs for teams
Limited resources - still bound by laptop hardware
Windows performance issues - WSL2 required
No centralized management - decentralized setup

Cloud Development Environment

DevContainer compatible - use same configs
Code stays in cloud - meets compliance
Unlimited scale - 128GB RAM, GPUs available
Centralized control - platform team manages
Works on cheap laptops - Chromebook OK
Requires internet - no offline mode
Infrastructure costs - cloud compute expenses
Initial setup - platform engineering needed

Verdict: Local DevContainers are a stepping stone. If reproducibility matters, eventually security/scale push you to CDEs.

CDE vs VDI/Virtual Desktops Citrix, VMware Horizon, Windows 365

VDI (Virtual Desktop Infrastructure): Full remote Windows/Linux desktop streamed to your device. Traditional enterprise solution for secure remote access. Developers get a complete OS (desktop, browser, Office, IDE).

When it makes sense: Organizations already invested in Citrix/VMware. Non-developer teams need same infrastructure. Legacy desktop apps required.

VDI/Virtual Desktops

Full desktop - all apps available
Existing IT tooling - familiar to IT teams
Code stays in data center - compliance OK
Supports any OS - Windows, Linux, macOS
Heavy resource usage - streams entire desktop
Expensive - $50-150/user/month licensing
Poor dev experience - laggy GUI, no native IDE feel
Not infrastructure as code - manual setup
Permanent machines - always-on costs
Environment drift returns - users customize desktops

Cloud Development Environment

Lightweight - only terminal/IDE connection
Native IDE - use local VS Code/JetBrains
Infrastructure as code - Terraform templates
Ephemeral - auto-stop saves money
Built for developers - dev-specific features
Lower cost - $10-30/user/month compute
No drift - fresh workspace from template
Developer-only - not for general workforce
New platform - separate from existing VDI

Verdict: CDEs win for developers. VDI is overkill, expensive, and delivers poor dev experience. Only use VDI if forced by existing infrastructure.

CDE vs AWS Cloud9 Amazon's browser IDE

AWS Cloud9: Amazon's browser-based IDE with integrated terminal. Deep AWS service integration. Runs on EC2 instances in your account. Great for serverless and Lambda development.

When it makes sense: AWS-only teams, serverless development, simple projects, Lambda debugging, quick experiments.

AWS Cloud9

AWS integrated - native service access
Simple setup - launch in minutes
Lambda debugging - built-in SAM support
Pay-per-use - only EC2 costs
Collaborative - real-time pair programming
AWS lock-in - can't use on GCP/Azure
Browser IDE only - can't use VS Code/JetBrains
Limited features - basic text editor capabilities
Not infrastructure as code - manual provisioning
No centralized management - per-user setup

Cloud Development Environment

Multi-cloud - AWS, GCP, Azure, on-prem
Use your IDE - VS Code, IntelliJ, PyCharm
Full IDE features - extensions, debugging, IntelliSense
Terraform templates - infrastructure as code
Platform control - centralized management
Any language/stack - not AWS-specific
More setup - requires platform engineering
Learning curve - team needs to learn platform

Verdict: Cloud9 is fine for quick serverless experiments. For serious development, CDEs provide better IDE experience and flexibility.

CDE vs SSH to EC2/VM Traditional remote development

SSH to EC2/VM: Manually provision a cloud VM (EC2, GCE, Azure VM). SSH in. Install tools. Edit files via SSH or VS Code Remote SSH extension. The original "cloud dev" approach.

When it makes sense: Solo developers, quick prototypes, teams without platform engineering resources, legacy workflows.

SSH to EC2/VM

Simple - no platform needed
Flexible - full root access
Code off laptop - cloud-based
Works with VS Code Remote SSH
Any cloud - AWS, GCP, Azure, DigitalOcean
Manual setup - install everything yourself
No standardization - every dev's VM is different
Security risks - SSH keys, open ports, manual patching
Always-on costs - devs forget to stop VMs
No management - no visibility, no control

Cloud Development Environment

Automated setup - Terraform templates
Standardized - everyone gets same environment
Secure - centralized auth, no SSH key management
Auto-stop - workspaces shut down when idle
Managed - platform team has visibility and control
Same IDE - VS Code Remote SSH still works
Ephemeral - fresh workspace from template
Platform overhead - requires setup and maintenance

Verdict: Manual SSH is where teams start. CDEs are where they end up after hitting scaling/security/cost challenges.

Self-hosted CDE vs Managed CDE Coder vs GitHub Codespaces/Gitpod

The Final Decision: Once you've committed to CDEs, do you self-host (Coder, Daytona) or use a SaaS managed service (GitHub Codespaces, Gitpod)? This is control vs convenience.

Key question: Do you need data to stay in your VPC/data center? Do you have platform engineering resources?

Managed CDE (Codespaces/Gitpod)

Zero infrastructure - vendor manages everything
Fast setup - minutes to start
Great UX - polished, well-tested
No platform team needed - developers self-serve
Automatic updates - always latest features
Expensive - $18-57/user/month + compute
Code in vendor cloud - compliance issues
Limited customization - vendor's infrastructure
Vendor lock-in - hard to migrate out
No air-gapped deployments - internet required

Self-hosted CDE (Coder/Daytona)

Full control - your VPC, your rules
Compliance-ready - HITRUST, SOC2, FedRAMP
Lower long-term cost - only compute, no per-seat fees
Maximum flexibility - Terraform = anything
Air-gapped option - on-prem or private cloud
No vendor lock-in - portable infrastructure
Platform team required - operational overhead
Longer setup - days to weeks
Manual updates - you manage upgrades

Verdict: Regulated industries (healthcare, finance, defense) need self-hosted. Startups and small teams often prefer managed SaaS.

Decision Matrix - All Approaches Compared

Criteria Local Dev DevContainers VDI Cloud9 SSH/EC2 Managed CDE Self-hosted CDE
Security (Code off laptop) Poor Poor Good Good Good Vendor cloud Excellent
Compliance (HITRUST/SOC2) No No Possible AWS only Manual Limited Excellent
Performance (Latency) Instant Instant Laggy Moderate Good Good Good
Flexibility (Infrastructure) Laptop only Containers VMs only AWS only Good Vendor Terraform
Ease of Use (Setup time) 1-3 days Hours Days Minutes Hours Minutes Minutes*
Cost (per developer/month) $0 $0-15 $50-150 $10-30 $10-40 $18-57+ $10-30
Scalability (Resources) Laptop max Laptop max VMs EC2 Cloud VMs Limited Unlimited
Standardization Drift Excellent Possible Manual Drift Good Excellent
Offline Work Yes Yes No No No No No
Platform Eng. Required No No IT team No No No Yes

* After platform setup complete

Decision Tree - Choose Your Approach

Do you need source code off developer laptops? (Security/Compliance)

YES - Go to Question 2

NO - Go to Question 5

Question 2: Are you in a regulated industry? (HITRUST, SOC2, GDPR, FedRAMP)

YES - Self-hosted CDE required

Recommendation: Coder (enterprise) or Daytona (simpler). Data must stay in your VPC/data center.

NO - Go to Question 3

Question 3: Do you have a platform engineering team?

YES - Self-hosted CDE gives you flexibility

Recommendation: Coder (if you want Terraform power) or Gitpod self-hosted (containers only).

NO - Go to Question 4

Question 4: Is budget a concern?

YES - Managed CDE might be expensive at scale

Recommendation: Start with GitHub Codespaces (if already on GitHub) or Gitpod. Consider self-hosted if team grows.

NO - Managed CDE is easiest

Recommendation: GitHub Codespaces (GitHub users) or Gitpod (multi-Git).

Question 5: Is offline work critical?

YES - Go to Question 6

NO - Cloud development is fine

Recommendation: Consider Managed CDE for convenience or SSH to EC2 for simplicity.

Question 6: Do you need reproducible environments?

YES - Use DevContainers locally

Recommendation: VS Code DevContainers with Docker Desktop. Works offline, reproducible.

NO - Traditional local development

Recommendation: Local development on laptop. Simple, no complexity.

Hybrid Approaches - Mix and Match

By Team Type

Different teams can use different approaches based on their needs.

Backend/Security Team: Self-hosted CDE (Coder) - handles sensitive data
Frontend Team: GitHub Codespaces - fast iteration, public repos
Mobile Team: Local DevContainers - need macOS for Xcode
Data Science Team: Self-hosted CDE - need GPUs and high RAM

By Project Lifecycle

Use different approaches at different project stages.

Prototyping: Local development or Replit - fast experimentation
Active Development: CDE (managed or self-hosted) - team collaboration
Debugging Production: SSH to EC2 - direct access to production-like environment
Maintenance: Local DevContainers - quick fixes, no cloud needed

Migration Strategy

Gradually transition from local to cloud development.

Phase 1: Add DevContainer configs to repos (works locally)
Phase 2: Pilot with 5-10 developers on managed CDE (GitHub Codespaces)
Phase 3: Expand to 50% of team, measure productivity gains
Phase 4: If compliance needed, migrate to self-hosted CDE (Coder)
Phase 5: Full rollout, retire local dev for most teams

By Developer Location

Consider network quality and developer distribution.

Office Workers: CDEs work great - fast corporate internet
Remote (Good Internet): CDEs or SSH to EC2 - latency acceptable
Remote (Slow Internet): Local DevContainers - minimize network dependency
Frequent Travelers: Local development - offline work required