We made fast food even faster.
This restaurant chain wanted to achieve additional speed and agility, automate its operation, optimize its environments, and evolve toward a multi-cloud strategy.
They were maturing in their digital transformation and needed help in streamlining operations and up-skilling teams.
We provided guidance on emerging technologies, cloud adoption, advanced analytics, architecture, and deployment.
2nd Watch’s AMI Factory solution provided the restaurant chain a fully automated, self-service process that incorporates the company’s security and governance standards. It also reduced delivery time of production ready AMIs by 75%. The company also lowered its operational costs, reduced new application build time and time to complete pipeline automation by 90%, and reduced the time it spends on monthly cost allocation/reconciliation by 95%.
About the Business
This leading global foodservice retailer is one of the world’s largest restaurant chain with locations in over 100 countries. More than 80% of its restaurants worldwide are owned and operated by independent local business men and women. The restaurant and its franchisees employ close to 2 million people worldwide and provides all locations, employees and customers with technology services and experiences to reach greater economies of scale.
Cloud Use and Opportunity
An early adopter of public cloud for restaurant-based solutions, the company migrated its eCommerce platform to AWS in 2013 in order to scale the solution for worlwide demand. The platform utilizes many different data sources to provide visibility about product availability, pricing, outages, local taxes, etc. for all of its restaurants. The platform also provides a consistent interface worldwide that can be adjusted for local preferences for unique customer experiences for web-based ordering systems and delivery.
With APIs that interface with mobile apps and other third-party systems like Uber Eats, the company can adjust and expand easily. It began with a web-based ordering and delivery experience for its customers and wanted to expand the service globally using the eCommerce platform. However, the platform needed to be reengineered for elasticity, scalability and cost. The cost of building and mainaining the global data centers necessary to deploy this initiative proved cost-prohibited for the global operations team. The elasticity and cost efficiency of the public cloud appealed to the company as well as the speed to which it could roll this intiative out.
After its eCommerce platform proved the cloud proficient for its needs, the company wanted to achieve additional speed and agility, automate its operation, optimize its environments, and evolve toward a multi-cloud strategy. It made the strategic decision to move all consumer-facing applications to the cloud, including mobile apps, websites, marketing, analytics and data warehousing, and its administrative applications.
The foodservice retailer wanted to mature its cloud automation capabilities and processes to better support a DevOps environment. It also needed better control over governance and security while developing guardrails to realize time to value for customers. The company was maturing in its digital transformation and needed help in streamlining operations and up-skilling its teams.
The Business Challenges & 2nd Watch Solution
After evaluating several other AWS Premier Partners, the company turned to 2nd Watch for its cloud transformation framework, cloud-native DevOps capabilities, responsiveness and experienced team to serve as a trusted cloud advisor. 2nd Watch engaged with the company’s Application and Product teams to provide guidance on emerging technologies, cloud adoption, advanced analytics, architecture reviews, POC and project/deployment support.
- 2nd Watch helped the company establish an enterprise DevOps team to speed delivery with better compliance and governance and established guardrails to enforce standards for better security posture and cost controls.
- 2nd Watch provided an assessment and remediation plan for refactoring the foodservice retailer’s automation environment, as well as best practices for build and development pipeline automation.
- 2nd Watch proposed a re-architected, more streamlined solution, including a consistent Terraform standard for implementation across the organization and foundational Terraform templates and scripts that saved the company time and money.
- 2nd Watch designed, built and delivered an AMI Factory, enabling publishing images in a consistent manner for all business units across the globe.
The foodservice retailer is leveraging 2nd Watch Managed Services to gain visability into the performance and costs assoicated with each workload and for world-class operational support for its cloud environment. 2nd Watch has identified over $4 mllion in Reserved Instance purchases through its optimization services and has identified additonal optimization with orphanend resoucrses, non-well architected environments, and waste.
Cost and Performance Assessment Yields Significant Cost Savings
In addition to increased speed-to-market and scalability, the company now has insights across its cloud services, enabling product owners and business stakeholders to assess the level of business risk and responsiveness to change. It also utilizes architecture standards to minimize deviation from expected behavior that could otherwise impede quality, reliability, and security.
The company is now able to reconcile its cloud invoicing at a fraction of the cost and get more grainularity and accuracy in its allocation model, improving the overall customer experience. Working with 2nd Watch, the company lowered its operational costs, reduced new application build time and time to complete pipeline automation by 90%, and reduced the time it spends on monthly cost allocation/reconciliation by 95%.
2nd Watch’s AMI Factory solution provided the restaurant chain a fully automated, self-service process that incorporates the company’s security and governance standards. The AMI factory has reduced delivery time of production ready AMIs by 75%.
Overcoming the obstacle of scaling for 37,000 locations, the fast food chain can now focus on cost optimization and its future plans for the cloud, which include IoT, artificial intelligence, and machine learning capabilities to cost effectively drive innovation.