About a-team Marketing Services
The knowledge platform for the financial technology industry
The knowledge platform for the financial technology industry

A-Team Insight Blogs

Colt Completes Proof of Concept for Multicast Data in the Cloud

Subscribe to our newsletter

In a further indication of the industry’s interest in finding ways to utilise the cloud for distribution of market data, connectivity and colocation provider Colt Technology Services has announced the successful completion of a cloud colocation Proof of Concept (PoC), demonstrating the viability of hosting and distributing multicast data in the cloud.

According to the company, this testing brings capital markets firms closer to leveraging the benefits of cloud, such as on-demand services and automation for real-time market data and trading applications.

Multicast has been something of a sticking point for market data distribution via the cloud, but an increasing number of projects are now under way to address the challenges. For this PoC, Colt worked with Amazon Web Services (AWS) to build virtual distribution Points of Presence (PoPs) in the AWS Cloud, enabling customers to lift and shift applications into the cloud without the need for any physical infrastructure, significantly reducing service delivery SLAs from weeks or months to just days.

“Capital Market customers across the globe have increasingly been looking to the cloud to drive their digital transformations, but until now they have been limited by the inability of Cloud Service Providers to facilitate multicast,” said Arthur Rank, Global Director, Capital Market Solutions for Colt. “The success of this PoC presents a huge opportunity for Capital Markets to move as many workloads into the cloud as possible and truly leverage the flexibility, agility and speed of the cloud.”

He added: “Colt has long been the leading connectivity provider for global Capital Markets and this ground-breaking PoC demonstrates our commitment to providing innovative, market-leading services to the global market.”

At this stage, Colt has not made public any details of the workloads that were tested, or the performance achieved in terms of throughput and latency.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: The future of market data – Harnessing cloud and AI for market data distribution and consumption

Market data is the lifeblood of trading, but as data volumes grow and real-time demands increase, traditional approaches to distribution and consumption are being pushed to their limits. Cloud technology and AI-driven solutions are rapidly transforming how financial institutions manage, process, and extract value from market data, offering greater scalability, efficiency, and intelligence. This webinar,...

BLOG

Platform-Led Strategies for Solving Market Data Fragmentation, Cost and Governance Challenges

For any Chief Data Officer or Head of Trading Technology, the line item for market data is both one of the largest and most complex to manage. The challenge is no longer simply about plumbing feeds into applications. It is a strategic imperative to control spiralling costs, integrate a chaotic mix of traditional and alternative...

EVENT

TradingTech Summit New York

Our TradingTech Briefing in New York is aimed at senior-level decision makers in trading technology, electronic execution, trading architecture and offers a day packed with insight from practitioners and from innovative suppliers happy to share their experiences in dealing with the enterprise challenges facing our marketplace.

GUIDE

Entity Data Management Handbook – Seventh Edition

Sourcing entity data and ensuring efficient and effective entity data management is a challenge for many financial institutions as volumes of data rise, more regulations require entity data in reporting, and the fight again financial crime is escalated by bad actors using increasingly sophisticated techniques to attack processes and systems. That said, based on best...