GetCameraCrew

IT CloudOps Accelerator - AWS Infrastructure as Code (IaC) Suite Implementation at GetCameraCrew

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Digital Media

Industry

2 Experts

Team size

6 Weeks

Timeline

GetCameraCrew

Digital Media

Industry

2 Experts

Team size

6 Weeks

Timeline

About GetCameraCrew

GetCameraCrew aimed to enhance its IT operations by adopting a robust and scalable cloud infrastructure. The primary goals were to improve deployment efficiency, ensure consistent environment configurations, and bolster security compliance. To achieve this, GetCameraCrew decided to implement AWS Infrastructure as Code (IaC) using the IT CloudOps Accelerator suite.

GetCameraCrew aimed to enhance its IT operations by adopting a robust and scalable cloud infrastructure. The primary goals were to improve deployment efficiency, ensure consistent environment configurations, and bolster security compliance. To achieve this, GetCameraCrew decided to implement AWS Infrastructure as Code (IaC) using the IT CloudOps Accelerator suite.

Tech Stack

Challenges

  • 01. Manual Configuration
    Ensuring that financial data remains secure and inaccessible to unauthorized entities.
  • 02. Deployment Delays
    Manual processes resulted in slow deployment times, impacting the company’s agility in responding to business needs.
  • 03. Scalability Issues
    The company needed a scalable solution to support its rapid growth and global expansion plans.
  • 04. Security and Compliance
    Ensuring consistent security configurations and compliance with healthcare regulations was a top priority.

Solution

GetCameraCrew partnered with IT CloudOps Accelerator to implement AWS IaC Suite, leveraging AWS CloudFormation, AWS CodePipeline, and other related services to automate and streamline their infrastructure management.

  • 01. Infrastructure as Code (IaC)

    • AWS CloudFormation: Deployed AWS CloudFormation templates to define and provision all the infrastructure resources in a consistent and repeatable manner. This included virtual private clouds (VPCs), EC2 instances, RDS databases, and IAM roles.
    • Version Control Integration: Integrated CloudFormation with GitHub for version control, ensuring all changes to the infrastructure were tracked and managed effectively.
  • 02. Continuous Integration/Continuous Deployment (CI/CD)

    • AWS CodePipeline: Set up AWS CodePipeline to automate the build, test, and deploy processes for both application code and infrastructure changes. This streamlined the release process and reduced the time to market.
    • AWS CodeBuild: Utilized AWS CodeBuild for automated testing and building of the infrastructure templates, ensuring that only validated configurations were deployed.
  • 03. Scalability and Automation

    • Auto Scaling Groups: Implemented Auto Scaling groups for EC2 instances to automatically adjust capacity based on traffic demand, ensuring optimal performance and cost efficiency.
    • AWS Lambda: Used AWS Lambda functions for custom automation tasks, such as automated backups and routine maintenance.
  • 04. Security and Compliance

    • AWS Identity and Access Management (IAM): Configured IAM policies to enforce the principle of least privilege, ensuring that resources were accessed securely.
    • AWS Config and AWS CloudTrail: Deployed AWS Config to continuously monitor and record configurations and AWS CloudTrail to log all API calls for auditing purposes.

Results

The above implementations resulted in significant performance improvement including:

  • Faster Deployment: It reduced infrastructure deployment times from days to minutes. Significantly enhancing the company’s agility, improved consistency and reliability.
  • Consistent Environments: We achieved consistent infrastructure configurations across all environments (development, staging, production), reducing the risk of discrepancies.
  • Improved Scalability: Improved scalability and scaled resources dynamically based on demand, supporting the company’s growth and ensuring optimal performance during peak times.
  • Enhanced Security: Improved security posture through automated compliance checks and enforcement of security best practices.
  • Optimized Resource Usage: Achieved cost savings by leveraging auto-scaling and efficient resource management.
  • Reduced Operational Overheads: Lowered operational costs by automating routine tasks and reducing the need for manual intervention.

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82%

Deployment Time Reduction

99%

Achieved consistency across environments

90%

Achieved efficiency in resource scaling

28%

Enhanced overall security posture

100%

Maintained 100% compliance with regulatory requirements

Results

82%

Deployment Time Reduction

99%

Achieved consistency across environments

90%

Achieved efficiency in resource scaling

28%

Enhanced overall security posture

100%

Maintained 100% compliance with regulatory requirements

Get PDF