AWS for Industries

How Exberry built a cloud-native matching engine on AWS that can process 1 million trades per sec, with 20 microseconds latency

Who is Exberry 

Exberry offers a cloud-native matching engine platform that enables traditional and alternative exchanges to launch ultra-low latency markets quickly and run them cost-effectively.

We launched Exberry to meet the rising demand from exchange operators for a flexible, high-performance matching engine platform that could support multiple asset classes and trading strategies and was also scalable, flexible, and accessible to a broad range of market participants.

Exberry’s Products

Exberry’s exchange technology platform includes a highly-scalable and flexible Core Trading Engine, that features a central order book, circuit breaker functionality, and market data support. It supports ultra-low latency execution and can power regulated and unregulated markets across AWS’ 99 Availability Zones within 31 geographic regions worldwide.


The Broker System is a comprehensive solution that includes order management, smart order routing, trading UI, asset management, and tokenization capabilities. It enables brokers to manage their orders and assets efficiently and tokenize traditional assets, such as stocks, bonds, and commodities, for digital asset exchanges.

Exberry Nebula is a turn-key Managed Service that integrates the Exberry Exchange System, Broker System, and settlement solution, offering an all-in-one white-label solution for market hosting.

Why Build on the Cloud

As a company that was born in the cloud, all of our products and services run natively in AWS. To us, building our trading platform in the cloud was straightforward because of the unrivaled speed to market, flexibility, and security that the cloud offers compared to on-premises. By leveraging cloud infrastructure and multi-tenant architecture, we were able to build a highly-scalable, resilient, and customizable ultra-low latency matching engine solution that we can deliver to customers at much more economical prices.

We chose to build our platform on AWS because of AWS’ reach within financial services and extensive range of cloud services. AWS provides a highly reliable, scalable, and integrated platform with a broad range of services that we utilize to improve the performance, scalability, and availability of our system.

Design Principles

Given Exberry is the foundational system that powers high-performance, ultra-low latency markets, we needed to build a platform with a focus on high-performance computing, optimized to process large volumes of data in real-time. We wanted our platform to be modular and utilize a distributed and brokerless architecture that used reliable UDP unicast and multicast for cloud deployments. It also needed to include fault tolerance mechanisms at the data layer, so we would need highly-durable storage and automatic replication, to ensure no data loss and fast recovery.

Specifically, we wanted to develop our technology with the principles of mechanical sympathy. This enables efficient interaction between software and hardware, and Reactive-Microservices architecture, which allows for scalability by designing applications as a collection of independent services that communicate using lightweight protocols.

Reliable UDP unicast and multicast are essential for high-speed trading systems, providing low-latency, real-time data delivery, scalability, resilience, and reliability. Multicast support enables efficient data distribution to multiple recipients simultaneously, making it useful for a brokerless architecture. Furthermore, cloud deployment is well-suited for UDP unicast and multicast due to their low overhead and scalability, providing the necessary infrastructure for high-speed and reliable trading.

We also wanted to build a Distributed System architecture to enable the physical separation of components while communicating over a network, which is critical for achieving scalability and fault tolerance. The Location Transparency feature of the platform allows it to run in any environment without modification, improving portability and simplifying deployment.

Back-pressure is another important consideration for high-performance systems, such as financial trading platforms, because it helps prevent data loss and maintain low latency. It does this by providing a mechanism for the system to handle incoming data at a sustainable rate, preventing bottlenecks, improving stability, and minimizing delays in data processing.

Back-pressure can also help to improve fairness in high-performance systems by ensuring that all components of the system are given equal consideration. By regulating the flow of data, back-pressure can prevent any one component from becoming overloaded and slowing down the entire system. This ensures that each component of the system is given an equal opportunity to process data and contribute to the system’s overall performance. Back-pressure also helps with the equitable distribution of system resources, ensuring that no component is starved of resources while others are over-provisioned, which improves the system’s overall fairness and efficiency.

 High-Level System Architecture

How We Built Our Platform 

With these design principles in mind, we set out to build our matching engine. Starting with compute, we use graviton-based Amazon EC2 instances, which provide our customers with a highly scalable, flexible, and secure computing environment. By running on Amazon EC2, our platform can dynamically allocate resources on-demand, quickly scale up or down based on our customers’ needs, and achieve low latency and high performance. Additionally, EC2 provides a range of security features, such as firewalls and encrypted data storage, that help ensure the confidentiality and integrity of customer data.

We decided to use Graviton 2 processors because of their performance, cost-efficiency, and environmental benefits. Graviton 2 processors are based on Amazon’s ARM architecture, which provides higher performance and lower costs compared to traditional x86 processors. Graviton-based servers consume up to 60% less energy and have a greatly reduced carbon footprint for the same performance as comparable EC2 instances, making them a more energy-efficient and environmentally friendly compute option. This significantly helps Exberry’s customers to reduce their carbon footprint and enables Exberry to contribute to the overall goal of reducing greenhouse gas emissions.

We decided to use Amazon Elastic Container Service for Kubernetes (EKS) to build our containerized architecture for several reasons:

  • Scalability: Amazon EKS automatically scales the number of worker nodes, making it easier to handle the increased demand for the platform’s services.
  • High Availability: Amazon EKS provides automatic failover, ensuring that the services remain available even in case of node failure.
  • Manageability: Amazon EKS provides a centralized control plane, making it easier to manage the entire cluster and its services.
  • Integration with AWS Services: Amazon EKS integrates with a variety of AWS services, such as AWS Load Balancer, AWS RDS, and AWS S3, making it easier to build and deploy services on AWS.
  • Kubernetes Support: Amazon EKS is built on Kubernetes, the industry-leading container orchestration platform, providing a robust and feature-rich foundation for the services.

Ease of Use: By using Amazon EKS, Exberry can take advantage of the benefits of AWS and Kubernetes, and provide a highly available, scalable, and manageable trading platform for its customers.

At the networking layer, our platform uses both AWS Transit Gateway and AWS Direct Connect. We utilize AWS Transit Gateway to connect our customers’ AWS accounts and networks, providing secure and scalable communication between them. This allows Exberry customers to have a single and centralized management point for their network connections while maintaining full visibility and control over the network traffic. By using AWS Transit Gateway, Exberry ensures that our customers have a seamless, fast, and secure connection between their VPCs, on-premises data centers, and AWS. This enhances the overall performance and reliability of Exberry’s services, while also reducing the operational complexity and costs for our customers.

Exberry uses AWS Direct Connect because it provides a dedicated network connection from the customer’s infrastructure to AWS, which offers low latency and high throughput network connectivity. AWS Direct Connect also offers more secure and reliable connections compared to using the public internet, which is important for the sensitive financial data involved in trading operations.

Lastly, for disaster recovery, we again use Amazon EC2 instances. Amazon EC2 provides a flexible, scalable, and secure solution for disaster recovery. Exberry’s disaster recovery plan leverages the AWS globally-distributed infrastructure to provide redundancy and resiliency in case of a disaster. With AmazonEC2, Exberry can quickly launch new instances in a different geographic region to keep its operations running, ensuring business continuity even in the face of a disaster. Additionally, Amazon EC2 also provides built-in backup and recovery options, such as Amazon Elastic Block Store (EBS) snapshots, to ensure that data is secure and recoverable in case of a disaster. Put simply, Amazon EC2 helps us maintain a cost-effective, reliable, and scalable disaster recovery solution that keeps our business running smoothly even in the face of unforeseen circumstances.

Built on top of AWS services, Exberry is a distributed system that uses the RAFT replicated log to provide fault-tolerant, ultra-low-latency, and high-performance state management for clustered services with inter-service sequenced messaging. With Exberry, multiple client connections can be sequenced into a single, replicated, log that ensures a consistent state across all nodes. This allows for efficient fault tolerance with multiple nodes, ensuring the system can continue operating even if one or more nodes fail.

The combination of AWS services and Exberry engineering provides a reliable and efficient solution for applications that require distributed and fault-tolerant ultra-low-latency state management.

“Graviton truly impressed us. With it, we witnessed a remarkable improvement in tail latency jitter, enabling us to deliver more reliable and predictable performance. Our round-trip latency was reduced to less than 20 microseconds while achieving a throughput of over 1 million messages per second.” Ronen Nachmias, Exberry, Co-founder and CTO 

The results

Exberry’s exchange infrastructure boasts reliable and predictable transport with less than 20-microsecond round-trip latency and can support over 1 million messages per second, making it one of the fastest and most efficient exchange technology providers in the industry running on AWS*.

Additionally, Exberry’s Software as a Service (SaaS) model offers cost savings, scalability, flexibility, up-to-date technology, and ease of use for its customers. By utilizing SaaS, customers can focus on their core business operations, quickly launch new markets without having to worry about data center contracts or procuring hardware, and can leave the management and maintenance of software to Exberry. This combination of performance, speed-to-market, and elasticity at economic prices has resonated with our customers and is what our customers, like Abaxx Exchange, look for as they set out to launch their new marketplace.

Based in Singapore, Abaxx Exchange introduces centrally-cleared, physically-delivered futures contracts and derivatives, providing price discovery and risk management tools in a market ecosystem with efficient correlation to physical markets.

Abaxx Exchange needed a powerful, ultra-low latency platform that offers brokers and Futures Commission Merchants (FCMs) seamless market access. Exberry provided Abaxx Exchange with an off-the-shelf matching engine and central order book solution built on the cloud, allowing for flexible and fast deployment across multiple environments on demand. Working in an agile manner with continuous delivery, Exberry customized our platform to meet Abaxx Exchanges’ needs, ensuring that additional features were delivered and Abaxx Exchange’s feedback was incorporated in real time. As a result, Exberry built a fully functional system to power a robust and transparent platform, supporting Abaxx Exchange in their mission to build SmarterMarkets™.

We look forward to sharing more about Abaxx Exchange’s journey and helping more exchange operators launch and scale cutting-edge, ultra-low latency markets on AWS.

“Solving fundamental problems in today’s global commodity and energy markets requires a technology partner capable of producing cloud-based solutions with precision at an expeditious pace; we found that in Exberry.” Dan McElduff, Abaxx Exchange, President

*Exberry has multiple different deployment models and technical architectures for their matching engine software to meet the unique needs of each of their customers. These performance statistics reflect a deployment optimized for ultra-low latency performance. Other technology referenced in this blog may be reflective of other distributed system deployment models.

Ronen Nachmias

Ronen Nachmias

Ronen Nachmias, Co-Founder and CTO, Exberry, is a technology executive and entrepreneur with over two decades of experience in building and running mission-critical systems at scale. As co-founder and CTO of Exberry, Ronen leads the development and implementation of the company's technology strategy, helping it become a leading provider of exchange and trading technology as a service. Ronen's diverse background includes working in various industries, including gaming and finance, where he oversaw the development of critical financial systems, ledgers, and payment systems. With his deep expertise in developing ultra-low latency and distributed systems, Ronen is passionate about solving complex technical challenges and driving innovation. His mission at Exberry is to empower organizations to easily launch and grow their own trading platforms, driving competition and improving access to financial services.

Yaniv Barak

Yaniv Barak

Yaniv Barak's exceptional leadership and expertise in business development have been instrumental in helping Exberry become a leading technology company for capital markets. As the Head of Business Development, Yaniv has played a key role in leading the company's business development efforts, driving growth, and building a strong partner ecosystem. Yaniv's deep knowledge of fintech and his past experience as the head of business development at Zeex have proven invaluable in positioning Exberry as a leading player in the industry. His strategic vision and exceptional execution skills have helped the company to forge strong partnerships, accelerate its go-to-market strategy, and successfully compete with established players in the market.

Mike Perna

Mike Perna

is a Principal Solutions Architect at Amazon Web Services (AWS), specializing in the Financial Services Industry. During his two years at AWS, Mike has worked with a range of Capital Markets participants, including traditional exchanges, Broker/Dealer, cryptos, market data providers, hedge funds, and other fintech companies, helping them solve technology challenges. Mike brings 20 years of diverse experience working in finance and technology, including trading Futures and Options, running ATS and market-making platforms, and managing Ultra-low latency colocation trading infrastructure.

Alex Mirarchi

Alex Mirarchi

Alex Mirarchi is a Capital Markets Industry Specialist at Amazon Web Services (AWS). Alex’s core focus is helping Global Exchanges and Infrastructure providers transform their businesses with AWS products and services. Alex joined AWS from Oracle Cloud Infrastructure (OCI), where he was responsible for strategy and structuring programs and strategic partnerships with software vendors. Prior to Oracle, Alex worked in capital markets, selling Asian Equities to Hedge Funds in London with HSBC and in New York with Macquarie Group. Alex also held front office roles in Fixed Income and Foreign Exchange, and started his career in HSBC Global Asset Management’s alternatives division in London. Alex holds an MBA from Columbia Business School.