Technology Category
- Infrastructure as a Service (IaaS) - Cloud Computing
- Platform as a Service (PaaS) - Application Development Platforms
Applicable Industries
- Cement
- Construction & Infrastructure
Applicable Functions
- Facility Management
Use Cases
- Construction Management
- Fraud Detection
Services
- Cloud Planning, Design & Implementation Services
About The Customer
Adloox is a France-based technology company that offers an all-in-one ad-verification and insights platform. The platform provides transparent and granular data, helping advertisers and media agencies to maximize their digital media spend. Adloox's platform measures every supplier, domain, ad placement, and ad unit and then provides objective recommendations to help maximize the performance of campaigns. It also detects and filters out fraudulent traffic, and ensures ads don't appear alongside inappropriate content, such as fake news, by analyzing multiple page elements in real time. The company processes huge amounts of data daily, with more than 7 billion fraudulent bid requests avoided every day.
The Challenge
Adloox, an ad-verification and insights platform, was facing challenges in delivering timely and in-depth insights to its clients due to its existing infrastructure. The company was dealing with a complex digital landscape where fraudulent traffic, lack of transparency in delivery and reporting, and the ability to track real ROI were among the top challenges. Adloox's platform was designed to address these issues by ensuring ads are viewable, impactful, and delivered in a brand-safe environment. However, the company was processing huge amounts of data, with more than 7 billion fraudulent bid requests avoided every day. Its existing infrastructure, built on dedicated servers, was not scalable enough to handle the increasing data load and traffic peaks. The company was constantly over-provisioning and monitoring its infrastructure to make adjustments, which was time-consuming and costly.
The Solution
To overcome these challenges, Adloox decided to migrate its platform to Google Cloud with the help of digital transformation consultant OP-Rate. The migration process involved building a parallel architecture and moving services over load by load, ensuring each load was functioning well in production before moving on to the next. The first stage involved moving its existing data platform over to Google Cloud, optimizing its dataflow pipeline in the process. Its data processing services are now orchestrated with Google Kubernetes Engine (GKE), using Cloud Load Balancing to deploy in three regions and Compute Engine for additional processing. During the day, data is stored using Cloud Storage, and overnight Adloox uses Dataproc to run its fraud detection algorithms and other calculations. The outputs are then stored back in Cloud Storage, or fed into BigQuery to run client reports, accessed by clients in the Adloox dashboard.
Operational Impact
Quantitative Benefit
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