Django Web App on AWS
LANCER
Lancer :
Ideal for quick, focused engagements
Team: ≤ 2 resources
Duration: ≤ 3 weeks
Indicative Budget: ≤ $3,000 USD*
Use Cases: MVPs, prototypes, simple websites, bug-fix sprints
Indicative Pricing: ~$15–$25/hr per resource*
Growth :
Best suited for growing products or structured builds
Team: 2–5 resources
Duration: Up to 4 months
Indicative Budget: Up to $30,000 USD*
Use Cases: Feature-rich web apps, integrations, custom dashboards
Indicative Pricing: ~$15–$35/hr per resource*
Enterprise :
Tailored for high-scale, complex or long-term initiatives
Team: 5+ resources
Duration: More than 4 months
Indicative Budget: Starts from $30,000+ USD*
Use Cases: End-to-end platforms, SaaS products, compliance-heavy systems
Indicative Pricing: ~$25–$50/hr depending on roles*
(Development)
Project Description
A technology consultant managing client-centric web platforms needed a reliable way to automate deployments of Django applications hosted on AWS. The requirement was to reconfigure a broken CI/CD pipeline, containerize the app using Docker, and integrate it with AWS CodeDeploy for seamless, real-time deployment from GitHub.
Scope Of Work
The client sought a solution from Oodles focused on assessing and reconstructing a partially implemented CI/CD pipeline that connected the client’s GitHub repository to an AWS EC2 instance. The goal was to establish a stable, automated deployment workflow using AWS services while ensuring reliability, security, and minimal manual intervention.
Our Solution
To streamline deployment and enable continuous delivery, a robust DevOps workflow was built around GitHub, Docker, and AWS CodeDeploy. The implementation followed a methodical process, addressing every layer of the deployment pipeline:
- IAM Role Configuration: Created a dedicated IAM role (DeployRole) with the AWSCodeDeployRole policy to grant CodeDeploy secure access to the EC2 instance.
- Agent Installation on EC2: Installed and validated the AWS CodeDeploy agent on the EC2 instance.
- AppSpec File Integration: Developed an appspec.yml file in the GitHub repository to define deployment behavior.
- GitHub Repository Integration: Connected the GitHub repository with CodeDeploy using personal access tokens.
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