Google Cloud Platform Case Studies ADEO Services: Enhancing Retail Operations with Hybrid Cloud Monitoring
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ADEO Services: Enhancing Retail Operations with Hybrid Cloud Monitoring

Google Cloud Platform
Application Infrastructure & Middleware - Data Visualization
Platform as a Service (PaaS) - Application Development Platforms
Consumer Goods
Retail
Behavior & Emotion Tracking
Leakage & Flood Monitoring
Cloud Planning, Design & Implementation Services
System Integration
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.
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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.
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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.
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The implementation of the Google Cloud operations suite and the SLO Generator tool has significantly improved the operations of ADEO Services. The SRE team can now alert the data platform teams if critical service users experience any problems, and they can develop automated solutions for processes that can be streamlined and improved. The use of Cloud Monitoring and Cloud Logging has also allowed the team to gain insights into potential issues and determine the origin of production issues more quickly. This has resulted in smoother, more agile services for all business units. The team is now looking to use the same kind of innovative thinking to empower other employees across functions to self-serve when it comes to making their work more data driven.
Speeds time-to-action when software issues arise by storing cloud and on-premises logs in one integrated interface
Increases performance, uptime, and health of applications with Cloud Monitoring, which automates alerts of emergent issues
Consolidated accountability database into BigQuery to store around 650 TB of logs long-term and improve analysis across lines
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