ADEO Services: Enhancing Retail Operations with Hybrid Cloud Monitoring
Technology Category
- Application Infrastructure & Middleware - Data Visualization
- Platform as a Service (PaaS) - Application Development Platforms
Applicable Industries
- Consumer Goods
- Retail
Use Cases
- Behavior & Emotion Tracking
- Leakage & Flood Monitoring
Services
- Cloud Planning, Design & Implementation Services
- System Integration
About The Customer
ADEO Services is a company that aims to inspire homeowners and help them create their dream home. The company operates in the retail and consumer goods industry and is based in France. ADEO’s different companies have 800 points of sale in 15 countries, including market-leading retail outlets, warehouse stores, and innovative concept stores. The data platform team at ADEO Services helps ADEO make the most of its data, respecting privacy, security, availability, durability, consistency, and performance, so that it can serve its 452 million customers more effectively. The data platform was established in 2018, when ADEO took on a digital transformation project.
The Challenge
ADEO Services, a company with a mission to inspire homeowners and help them create their dream home, faced a challenge in managing its vast data platform. The platform was established in 2018 as part of a digital transformation project and was designed to collect, store, and deliver capabilities that enable all of ADEO’s companies to search, consult, and use data easily. The data platform team adopted a site reliability engineering (SRE) model to administer the platform, focusing on keeping services running and users happy while identifying opportunities to automate repetitive work. However, operating in a systematic way, at scale, while staying secure and compliant with company policies, proved to be a challenge. The team needed a solution that would allow them to monitor services using self-managed solutions and improve the experience of users with automated SLO monitoring.
The Solution
To address these challenges, ADEO Services’ data platform SRE team used the Google Cloud operations suite. This suite allowed them to build tools that enabled data platform engineers to focus on data-driven initiatives that help ADEO meet customers’ needs. They also worked with Cloud Consulting Services to co-develop a serverless tool known as SLO Generator for use among the open source community. This tool uses Cloud Monitoring as a metric back end to compute and export critical service SLOs, error budget, and burn rates based on configuration files. The SRE team also used Cloud Monitoring to gain visibility into the performance, uptime, and overall health of their services. They worked closely with Cloud Consulting Services to define the appropriate metrics to be measured in its system, based on what its users need. They also used Cloud Logging as its universal back end for logs across Google Cloud services, on-premises, and SaaS services.
Operational Impact
Quantitative Benefit
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