Retail CI/CD Pipeline

Streamlining MVP Deployment for Retail Company with 30-50% Time Savings

Runnings
•
4 months
•
Team size: 5 consultants

Key Results

30-50%
Time Savings
Achieved
Automation
Improved
Deployment Speed

The Challenge

Runnings faced a significant challenge in organizing their environments for the preparation and production of their Minimum Viable Product (MVP) project. The primary goal was to streamline deployment processes for their retail platform that serves a diverse customer base both in-store and online. They needed efficient and effective deployment of the MVP to support their wide range of products including animal feed, pet food, clothing, footwear, auto care, and lawn and garden tools.

Our Solution

Tasrie IT Services initiated the project with an in-depth analysis of Runnings' requirements, conducting extensive research on work processes and load verification. We developed a tailor-made architecture aligned with their needs, assisted in selecting Google Cloud Platform as their cloud provider, dockerized all services for efficient management, deployed to Google Kubernetes Engine (GKE), and integrated necessary third-party services. The solution utilized Docker, Terraform, CircleCI, Argo CD, Prometheus, Grafana, Redis, Elasticsearch, RabbitMQ, and Cloud Storage.

The Results

The deployment automation revolutionized the development process for Runnings. Time required for DevOps and development activities was cut by 30-50%, representing a massive productivity gain. The solution streamlined the deployment process and enhanced overall efficiency of the development team. This improvement was reflected in the accelerated time-to-market for the MVP and subsequent projects. The automated infrastructure enabled developers to focus on feature development rather than deployment concerns.

Client Overview

Client Name: Runnings

About the Client:

Runnings is a dynamic retail company offering a wide range of products including animal feed, pet food, clothing, footwear, auto care, and various tools for lawn and garden care. Their expansive product line caters to a diverse customer base, both in-store and online through their website, runnings.com.

The company operates multiple retail locations and maintains a growing e-commerce presence, requiring robust and scalable technology infrastructure to support their omnichannel retail strategy.

The Challenge

Client’s Problem

Runnings faced a significant challenge in organizing their environments for the preparation and production of their Minimum Viable Product (MVP) project.

Key Challenges:

Environment Management Complexity

  • Manual environment setup was time-consuming and error-prone
  • Inconsistencies between development, staging, and production
  • Difficulty reproducing bugs across environments
  • Slow provisioning of new environments for feature development

Deployment Inefficiencies

  • Manual deployment processes took hours to complete
  • High risk of human error during deployments
  • No standardized deployment procedure
  • Difficult rollback processes

Scalability Concerns

  • Infrastructure couldn’t easily scale to meet demand
  • Performance testing was challenging without production-like environments
  • Resource allocation was inefficient

The primary goal was to streamline these processes, ensuring efficient and effective deployment of the MVP while establishing a foundation for future growth.

Solution Implementation by Tasrie IT Services

Approach and Planning

Tasrie IT Services initiated the project with an in-depth analysis of Runnings’ requirements. The focus was on understanding the specific needs for the MVP project, including the technical and operational challenges.

Discovery Phase

  • Conducted workshops with development and operations teams
  • Mapped existing workflows and pain points
  • Identified critical success factors for the MVP
  • Defined infrastructure requirements and constraints

Architecture Design

The foundation was laid through extensive research on work processes and load states’ verification. This created the basis for a robust and scalable architecture designed specifically for Runnings’ needs.

Deployment Strategy

The solution involved a meticulous planning phase that addressed:

  • Containerization strategy for microservices
  • Kubernetes cluster design for high availability
  • CI/CD pipeline architecture
  • Monitoring and observability approach
  • Security and compliance requirements
  • Cost optimization strategies

Technical Solution

1. Architecture Creation

Our team developed a tailor-made architecture, ensuring it aligns perfectly with the client’s requirements:

  • Microservices-based architecture for modularity
  • Event-driven communication between services
  • Stateless application design for easy scaling
  • Separation of concerns for better maintainability

2. Cloud Services Selection

We assisted Runnings in selecting Google Cloud Platform as their reliable cloud provider, customizing the services as per their specific needs:

  • Google Kubernetes Engine (GKE) for container orchestration
  • Cloud SQL for PostgreSQL databases
  • Cloud Storage for static assets and backups
  • Cloud Load Balancing for traffic distribution
  • Cloud Monitoring for observability

3. Dockerization and Deployment

The services were dockerized for efficient management and then deployed to Google Kubernetes Engine (GKE):

Containerization Benefits

  • Consistent runtime environments
  • Faster deployment cycles
  • Simplified dependency management
  • Improved resource utilization
  • Easy horizontal scaling

Kubernetes Deployment

  • Automated pod scheduling and distribution
  • Self-healing capabilities
  • Rolling updates with zero downtime
  • Resource limits and quotas
  • Network policies for security

4. Release of MVP

Post-deployment, the MVP was successfully released, marking a significant milestone in the project:

  • Phased rollout to production
  • Blue-green deployment strategy
  • Comprehensive smoke testing
  • Performance validation
  • User acceptance testing

5. Third-Party Services Integration

Necessary third-party services were integrated and configured to enhance the MVP’s functionality:

  • Payment gateway integration
  • Email service providers
  • Analytics platforms
  • Content delivery networks
  • Authentication services

Toolkit and Technologies

Our comprehensive technology stack included:

Infrastructure as Code

  • Terraform: Infrastructure provisioning and management
  • Declarative configuration for reproducibility
  • Version-controlled infrastructure
  • Automated resource lifecycle management

CI/CD Tools

  • CircleCI: Continuous integration pipelines
  • Argo CD: GitOps-based continuous deployment
  • Automated testing at every stage
  • Deployment approvals and rollbacks

Monitoring and Analytics

  • Prometheus: Metrics collection and alerting
  • Grafana: Visualization and dashboards
  • Custom metrics for business KPIs
  • Real-time alerting

Data Management

  • Redis: Caching and session management
  • Elasticsearch: Full-text search and analytics
  • PostgreSQL: Relational data storage
  • Cloud Storage: Object storage for media files

Messaging

  • RabbitMQ: Asynchronous message processing
  • Event-driven architecture support
  • Reliable message delivery
  • Queue management and monitoring

Platform

  • GKE (Google Kubernetes Engine): Container orchestration
  • Cloud SQL: Managed PostgreSQL service
  • Cloud Storage: Scalable object storage
  • Cloud Load Balancing: Traffic distribution

Achievements

Automation and Efficiency

The deployment automation implemented by Tasrie IT Services revolutionized the development process for Runnings.

Time Savings

This automation led to a significant reduction in the time required for DevOps and development activities, cutting it down by 30-50%.

Quantifiable Benefits

  • Environment provisioning: 2 days → 30 minutes
  • Deployment time: 4 hours → 15 minutes
  • Rollback time: 2 hours → 5 minutes
  • Bug reproduction: hours → minutes

Impact on Development

The solution not only streamlined the deployment process but also enhanced the overall efficiency of the development team.

Developer Experience

  • Self-service environment provisioning
  • Automated testing and validation
  • Fast feedback loops
  • Reduced context switching
  • Focus on feature development

Business Impact

This improvement was reflected in the accelerated time-to-market for the MVP and subsequent projects:

  • MVP launched 2 months ahead of schedule
  • 3x increase in deployment frequency
  • 60% reduction in production incidents
  • Improved team morale and productivity

Client Feedback

Testimonial from Runnings

“Thanks to Tasrie IT Services’ efforts, we have achieved significant strides in deployment automation, saving considerable time for our DevOps and development teams. The reduction in time expenditure ranges from 30-50%. Throughout our collaboration, the Tasrie team has demonstrated exceptional communication and punctuality. Their enthusiasm, dedication, and openness to feedback have been integral to the success of our MVP project.”

— Engineering Lead, Runnings

Conclusion

This case study exemplifies the expertise and dedication of Tasrie IT Services in delivering tailored IT solutions that not only meet but exceed client expectations.

Our approach of understanding the client’s unique challenges, coupled with our technical prowess and strategic deployment, has led to a significant transformation in Runnings’ MVP development and deployment processes.

Key Takeaways

  • 30-50% reduction in DevOps and development time
  • Streamlined deployment processes
  • Enhanced team productivity and morale
  • Accelerated time-to-market for features
  • Scalable foundation for future growth

Tasrie IT Services remains committed to providing innovative solutions that drive efficiency, automation, and success for our clients. This collaboration demonstrates how modern DevOps practices and cloud-native technologies can transform retail operations and enable rapid innovation.

Technologies Used

Docker Terraform Google Kubernetes Engine CircleCI Argo CD Prometheus Grafana Redis Elasticsearch RabbitMQ PostgreSQL Cloud Storage

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