- Seattle
- E-commerce
- 16 weeks
- D2C
- AWS, Terraform, Jenkins, Docker, Prometheus, Grafana
Project Brief
The goal was to implement a comprehensive DevOps methodology that would reduce time-to-market, increase system stability, and facilitate collaboration across development, operations, and quality assurance teams.
Client Background
The brand, which specialises in curated home items and fashion, has grown at an exponential rate in recent years. However, their current development and deployment methods were laborious and error-prone, limiting their ability to adapt swiftly to market developments and consumer input.
Key Challenges:
Solution:
1. Discovery and Planning
We began a detailed review of the retailer's existing infrastructure, development methods, and tooling. We interviewed key stakeholders to learn about their pain areas, goals, and intended outcomes. Based on this evaluation, we created a customised DevOps roadmap outlining the measures required to meet the company's objectives.
2. Development
Our experienced DevOps engineers worked closely with the client's development and operations groups to execute a complete DevOps strategy. We automated the complete software delivery pipeline, from code commit to production deployment, with AWS CodePipeline and Jenkins. We adopted infrastructure as code (IaC) concepts by utilising Terraform to manage and supply cloud resources uniformly across many environments.
3. Implementation
We collaborated closely with the client's teams to enable a seamless transition to new DevOps processes and technologies. This included extensive training and information transfer sessions to prepare them to administer and maintain the new infrastructure independently. We also provide continuous assistance and advice to resolve any issues or queries that emerged during the implementation phase.
Tools & Technology Used
AWS
Cloud Services
Terraform
Infrastructure as Code
Jenkins
CI/CD
Docker
Containerization
Prometheus
Monitoring & Alerting
Features:
Continuous Integration & Continuous Delivery
Real-time monitoring and alerting allowed for the proactive discovery and resolution of performance issues and system malfunctions.
Infrastructure as Code (IaC)
The automatic provisioning of cloud resources maintained consistent conditions among development, staging, and production.
Automated Testing
Automated system, integration, and regression tests guaranteed excellent software quality while lowering the chance of mistakes in production.
Monitoring & Alerting
Real-time monitoring and alerting enabled the proactive detection and remediation of performance issues and system faults.
Collaboration
Standardised tools and practices improve communication and cooperation across development, operations, and QA teams.