Supply-Side Platform (SSP) Case Study

Solving the main technical challenges of an SSP/ad exchange.

This is the story of how Clearcode developed a solution that solves the performance and scalability challenges of ad exchanges to help companies decrease development time when building a supply-side platform (SSP) or ad exchange.

Key points:

  • We set out to solve performance and scalability challenges that are common in SSPs/ad exchanges.
  • We solved the scalability challenge by deploying a microservice architecture coupled with a horizontal scaling pattern.
  • We solved the performance challenges by introducing inter-service communication over the publish-subscribe (pub/sub) layer and developing a populator service.
  • The results of our developed solutions mean that the ad exchange has stable performance, can scale to sell more inventory to DSPs, and has the most up-to-date inventory.
  • Our solution can be used as the foundation of a development project, saving thousands of dollars and months of development time when building an SSP/ad exchange from scratch.
Cambio SSP case study by Clearcode

The main challenges we chose to solve centered around scalability and performance.

Filip Dominas, Project Manager at Clearcode

Download now, read later

Download the full version of this case study and read about how we solved the main technical challenges of an SSP/ad exchange.

DOWNLOAD PDF NOW

The Main Challenges We Chose to Solve

The main challenges we chose to solve centered around scalability and performance.

Specifically, we wanted to build an ad exchange that could respond to a large number of ad and bid requests without any delay.

During our initial research, we identified the following technical challenges:

  • To maintain fast response times, the exchange has to rapidly scale.
  • The inventory query can take a long time to complete and produce a big response.
  • Inventory changes made by the user (e.g. a publisher or AdOps operating the SSP) have to be propagated to all exchange instances.
  • The propagation process can not be performed after each update in the SSP as this would cause an unpredictable number of propagation operations, which could hinder the exchange’s performance.

Without a proper solution to these challenges, SSP/ad exchange vendors face the following business problems:

  • The publisher isn’t able to sell all their available inventory, resulting in low fill rates and less ad revenue.
  • The publisher misses out on being able to display an ad to the visitor and potential ad revenue because the ad exchange doesn’t respond in time – typically, an RTB auction finishes within 250ms, meaning the ad exchange has to receive and respond to ad/bid requests within that time frame.

Our Developed Solutions

Based on our knowledge of SSP/ad exchanges and RTB, as well as extensive research, we developed the following solutions to the aforementioned challenges.

The Solution to the Scalability Challenge

To ensure the ad exchange could scale – i.e. receive, handle and process more ad/bid requests – we deployed a microservice architecture coupled with a horizontal scaling pattern.

Microservice architecture is an architectural pattern used in software development projects to break down the application into individual and related services.

These services can be developed, deployed and maintained independently from the rest of the application and communicate between one another via application programming interfaces (APIs).

Adopting a microservice architecture provided us with the following benefits:

  • It allowed us to achieve the target levels of scalability, as each microservice can horizontally scale independently.
  • We can deploy these services individually rather than as a whole, which reduces deployment time.
  • Having a microservice architecture means that if one microservice becomes faulty, it will be isolated to that service and won’t impact the rest of the ad exchange.

The Solution to the Performance Challenges

The main performance challenges in an SSP/ad exchange relate to its ability to:

  • Handle large numbers of inventory changes made in the SSP.
  • Propagate these changes to all exchange instances.
  • Ensure the ad exchange instances can handle this resource-heavy task without causing the SSP to experience unexpected performance issues.

To solve these challenges, we introduced inter-service communication over the publish-subscribe (pub/sub) layer and developed a populator service.

Inter-service communication over the publish-subscribe (pub/sub) layer

Pub/sub is a messaging pattern designed to publish and receive messages by subscribing to a specific channel or subject.

To carry out the pub/sub pattern, we opted for NATS, an open-source messaging service.

Its role in the SSP environment is to inform exchange instances about any inventory changes.

What changes are made in the inventory?

When we talk about inventory changes or changes in the inventory, we are referring to changes made to the following:

The ad unit’s checksum – e.g. if one has been added or removed.

The size of the ad slot – e.g. a square box (250x250) has been replaced with a vertical rectangle (240x400).

The advertising categories – e.g. sponsorships, premium guaranteed, audience targeted, and remnant.

Plus many other changes.

Due to the nature of the NATS services, pub/sub provides a simple, secure and fast solution to the messaging distribution challenge.

Since pub/sub is a queueless solution, it eliminates many problems associated with queues and their limitations.

Populator service

Typically, when a change is made in an SSP, each exchange instance needs to download the changes in the inventory on startup.

If every exchange instance queries the SSP and downloads the inventory directly, serving those requests would require extensive resources and would likely crash the SSP.

To overcome this challenge, we introduced a populator service to function as a proxy and single point of communication between the exchange instances and the SSP, allowing us to achieve and ensure high performance.

The populator service notifies the exchange instances about new changes, updates the inventory in the exchange instances at a set interval, and prepares the inventory for easy loading.

This means the resource heavy task of providing the new inventory is performed in a predictable fashion, meaning there is no unexpected performance issues for the SSP.

Also, exchanges can always reliably download the latest inventory changes, even if the SSP is inaccessible.

How the populator service works

The populator service:

  • Queries the SSP for the inventory on startup.
  • Creates a unique hash for the response.
  • Stores the response as a file in an object storage service, such as Google Cloud Storage.
  • Publishes the file location on a pub/sub topic.
  • Queries the SSP for the inventory on a schedule.
  • Compares the response hash with the last one.
  • If it differs, it stores the response and publishes the file location on a pub/sub topic.

In order to ensure it has the most up-to-date inventory, the exchange:

  • Queries the populator for inventory file location on startup.
  • Subscribes to the pub/sub topic to be notified of new inventory files.
  • Downloads new files and replaces its inventory.

Once downloaded, the information is stored locally by the exchange instances.

Because of this setup, the exchange always has information about the inventory in its memory. In order to verify its validity, it doesn't need to download file storage, which would take a lot of time and resources; instead, it listens to the populator (pub/sub) for annotations regarding any changes in the inventory.

This results in faster performance, as there is no need to request the ad-slotIDs from the SSP each time an RTB auction is performed. The reason for this is because the exchange already has them stored in an in-memory database.

Faster performance translates to overall improvements in the ad/bid response time needed for conducting an RTB auction.

The Advantages of Our Developed Solution

Stability: Because the inventory changes made in the SSP are queried only by the populator, they are predictable and independent of the number of updates in the system.

Scale: Our microservice architecture allows the SSP to deploy a large number of exchange instances, which ultimately results in more ad revenue for publishers.

Up-to-date inventory: The exchanges query the populator only when scaling up (on startup), meaning all exchanges are notified of inventory changes at the same time.

Improved performance: All exchanges download the new inventory at the same time, without placing any burden on the SSP or the populator.

The Main Technologies, Frameworks and Infrastructure We Used

How Can Our SSP/Ad Exchange Solution Help You?

Speed up the development phase of your custom-built SSP.
Implement it into your existing SSP to improve performance and scalability.