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

Arista Networks Releases First Fruits of Metamako Acquisition

Subscribe to our newsletter

Arista Networks has released the first fruits of its acquisition of Metamako in September 2018. The Arista 7130L Series, a next generation ultra-low latency, high-precision network application platform with deterministic 5 nanosecond switching and virtually undetectable jitter, rebrands former Metamako field programmable gate array (FPGA) switches. It also consolidates and advances network applications MetaMux, which enables lower latency data aggregation and is ideal for connecting electronic trading platforms directly to exchanges, and MetaWatch, which can be used to tap and aggregate time-stamped packets for data analysis or compliance.

In development of the Arista 7130L Series platform, MetaMux has gained a performance boost and can now perform data aggregation in average of 39 nanoseconds. The MetaWatch application now provides timestamping at sub-nanosecond accuracy. This granularity enhances capture, in-depth monitoring, and network analytics for demanding applications.

Nicholas Ciarleglio, a systems engineer at Arista, says one of the key reasons Arista acquired Metamako was to extend the 7130 platform’s application flexibility and make it more suitable to specialised network functions. Martin Hull, associate vice president of systems engineering and platforms at Arista, adds: “These products combine ultra-low latency switching with the latest generation of highly programmable FPGAs and proven Arista network applications to address demand for increased configurability in the network while delivering the lowest possible latencies.”

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: Navigating the Build vs Buy Dilemma: Cloud Strategies for Accelerating Quantitative Research

For many quantitative trading firms and asset managers, building a self-provisioned historical market data environment remains one of the most time-consuming and resource-intensive steps in establishing a new research capability. Sourcing data, normalising symbologies, handling corporate actions and maintaining infrastructure can take months and absorb significant budget before a single model is tested. At the...

BLOG

Data Automator Xceptor Offers Platform Ready-Made for AI

Dan Reid is not surprised that Xceptor, the data automation giant he formed two decades ago, finds itself at the vanguard of a change in the way financial institutions regard and use documents. The rapid and accurate parsing of information from paper- and PDF-based reports has been made possible thanks to recent developments in artificial intelligence. The volume...

EVENT

AI in Data Management Summit New York City

Following the success of the 15th Data Management Summit NYC, A-Team Group are excited to announce our new event: AI in Data Management Summit NYC!

GUIDE

Regulatory Data Handbook 2018/2019 – Sixth Edition

In a testament to the enduring popularity of the A-Team Regulatory Data Handbook, we are delighted to publish a sixth edition for 2018-19 of our comprehensive guide to all the regulations and rules that might impact data and data management at your institution. As in previous editions of the Regulatory Data Handbook, we have updated...