ACTIV One Ticker Plant Tests on Google Cloud Platform

ACTIV Financial, a global provider of multi-asset financial market data and real time publishing solutions, has completed Phase 1 of performance testing its ACTIV One (Real Time Market Data Ticker Plant) on Google Cloud Platform (GCP) which validates siting production head end ticker plant technology within the Public Cloud framework.

The ACTIV One ticker plant implementation on GCP was tested against live customer requirements for full OPRA, and all North American L1 equity and futures exchange feeds, with zero conflation. The test involved connecting clients from GCP Central region to GCP East region where the virtual ticker plant is operating. (6) core VMs were used per letter split for a total of (35) 6-core VMs. ACTIV tested using its C++ API.

As firms grapple with taking advantage of the on-demand computing construct, there is a clear understanding that supporting data needs to be present in cloud environments before capital market participants can substantially move mid and back office application workloads.

Unless your real time or pricing and related financial data are embedded and accessible without undue latency penalty within the Cloud framework, none of the advantages of these environments will be realized,” said Mike Misiaszek, Head of Sales for ACTIV Financial.

Producing and distributing Real time data has been a challenge because multicast delivery mechanisms are not supported on public cloud provider platforms. ACTIVs successful POC on GCP has demonstrated that not only is the real time data available for consumer applications, but also major connectivity costs are removed within the GCP framework, reducing scaling costs of the expanding bandwidth needed to manage the data message rate growth into the future. ACTIV One on GCP reduces the two hardest problems in market data cost control, connectivity and hosting costs.

Early adopters of this cloud data application use cases will likely include UAT, redundancy, pricing, risk, and display terminal applications. Global data via snap, streaming and time series services are all available across all asset classes,”Misiaszek added.