Case Studies Liquid Enhances Security and Operations with Sumo Logic's Cloud-Native Technologies
Edit This Case Study Record

Liquid Enhances Security and Operations with Sumo Logic's Cloud-Native Technologies

Analytics & Modeling - Predictive Analytics
Analytics & Modeling - Real Time Analytics
Platform as a Service (PaaS) - Data Management Platforms
Finance & Insurance
Software
Business Operation
Quality Assurance
Sales & Marketing
Cybersecurity
Predictive Maintenance
Remote Asset Management
Cloud Planning, Design & Implementation Services
System Integration
Training
Rapidly growing Liquid sought a cloud-based machine data application to support its entire globally distributed team and multi-cloud technology stack. The new solution would be responsible for helping identify and resolve operational difficulties while also providing vital guidance to thwart malicious efforts from a range of hostile perpetrators.
Read More
Liquid operates an online cryptocurrency exchange that supports greater than 180 different cryptocurrencies. Additionally, the company offers approximately 30 pairs of cryptocurrencies linked with a fiat currency, such as Bitcoin/US dollars, Ethereum/Japanese Yen, or XRP (Ripple)/Euro. In many ways, the Liquid exchange is very similar to a traditional stock exchange, like those that operate in New York, London, or Tokyo: traders establish accounts which they then use to buy, sell, or speculate on cryptocurrencies using products such as futures, puts, holds, and swaps. Liquid is a global organization: software development is done in Vietnam, Japan, and Singapore; the company’s global security operations center (SOC) is located in Vietnam. From its inception, Liquid has been constructed around a highly sophisticated application architecture. Instead of operating as a monolithic system, its trading platform is actually a far-reaching collection of specialized software components that work together to conduct processing. All told, this amounts to approximately 45 applications in production and 90 in development maintained in over 550 GitHub repositories. The company adheres to a continuous integration/continuous delivery (CI/CD) methodology; DevOps procedures are also integral to how Liquid produces software.
Read More
Liquid selected Sumo Logic’s cloud-native technologies to aggregate and organize machine data from all sources in its multi-cloud infrastructure. As part of this undertaking, the company developed expansive real-time alerting and dashboarding capabilities while training much of the company on Sumo Logic’s user-friendly query language. During the assessment, Liquid had teamed with Sumo Logic’s professional services organization to set up data collection, integration, dashboards, and more. This made it possible to directly transition to production. Initially, the company began ingesting more than 250 GB of raw machine data per day, but was able to reduce this amount to less than 100 GB after fine-tuning its data gathering processes. With Sumo Logic in its toolkit, Liquid crafted a potent array of interwoven security processes built on deriving knowledge from its curated machine data. The company’s applications had already been written to supply unique telemetry that could then be used to help trace issues and potential security violations. All of this raw data was now aggregated in Sumo Logic. This fine-grained information made it possible to precisely associate a problem to the affected software component or infrastructure element. These details power Sumo Logic’s dashboards and automatic email-driven alerts, enabling real-time notification of flaws, intrusions, or other unwanted events.
Read More
Sumo Logic’s easy-to-use query features have led to broader adoption than initially planned.
Liquid is now able to use its large volumes of machine data for various purposes including security, software development, problem resolution, and marketing.
Sumo Logic’s dashboards and automatic email-driven alerts enable real-time notification of flaws, intrusions, or other unwanted events.
Initially, the company began ingesting more than 250 GB of raw machine data per day, but was able to reduce this amount to less than 100 GB after fine-tuning its data gathering processes.
Today, more than USD $50 billion is traded on the Liquid exchange annually.
Download PDF Version
test test