Google Cloud Platform Case Studies Adloox: Enhancing Ad Verification and Insights with Google Cloud

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	Adloox: Enhancing Ad Verification and Insights with Google Cloud Google Cloud Platform

Adloox: Enhancing Ad Verification and Insights with Google Cloud

Google Cloud Platform

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
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. Read More
About 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. Read More
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. Read More Log in to view content
Contents

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

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.

About 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.

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.

Impact #1	The migration to Google Cloud has significantly improved Adloox's operational efficiency. The company now has a more flexible and reliable infrastructure that can automatically scale to meet demand during peak traffic times. This has eliminated the need for constant over-provisioning and monitoring of its infrastructure. The use of BigQuery has enabled Adloox to provide clients with new and enhanced analysis tools. Clients can now create reports on the platform based on three, six, or twelve months of data in under ten seconds. This has allowed Adloox to deliver insights that previously it wouldn't have had the processing power to calculate, and it's ready almost immediately. The migration has also freed up the team to focus on development, helping them launch the new version of their platform faster.

Impact #1

The migration to Google Cloud has significantly improved Adloox's operational efficiency. The company now has a more flexible and reliable infrastructure that can automatically scale to meet demand during peak traffic times. This has eliminated the need for constant over-provisioning and monitoring of its infrastructure. The use of BigQuery has enabled Adloox to provide clients with new and enhanced analysis tools. Clients can now create reports on the platform based on three, six, or twelve months of data in under ten seconds. This has allowed Adloox to deliver insights that previously it wouldn't have had the processing power to calculate, and it's ready almost immediately. The migration has also freed up the team to focus on development, helping them launch the new version of their platform faster.

Benefit #1	Reduced batch processing times by 50%, making up-to-date data available faster
Benefit #2	Managed to provide on-demand reports for clients in seconds with BigQuery
Benefit #3	Reduced DevOps load by 40% due to managed services

Benefit #1

Reduced batch processing times by 50%, making up-to-date data available faster

Benefit #2

Managed to provide on-demand reports for clients in seconds with BigQuery

Benefit #3

Reduced DevOps load by 40% due to managed services

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Overview

Adloox: Enhancing Ad Verification and Insights with Google Cloud

Operational Impact

Quantitative Benefit