Humio: Scalability Benchmark Running 100TB/Day In Real-Time

Humio, a live observability solution that is platform agnostic and delivers fast, scalable log management, unveiled results of a benchmark running 100TB/day providing real-time visibility of data at scale.

Critical to microservices organizations is the need to understand large amounts of computer-generated data and instantly pinpoint availability concerns and identify threats in any complex, distributed systems. Using cloud resources, Kubernetes, and the company’s own tools, the development team demonstrated what customers are already experiencing with their own deployments of the Humio platform. The Scalability Benchmark (registration required) delivers live observability of 100TB loads on 25 nodes.

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“We are excited to offer this benchmark to demonstrate what some of our customers such as LunarWay, Michigan State University, Netlify, SpareBank 1 and various others are already benefiting from – Humio’s unique time-series database engine optimized to ingest and aggregate large ranges of log data instantly,” said Geeta Schmidt, CEO, Humio. “Users can aggregate, interact and gain visibility of their applications, Kubernetes metrics and events to analyze the performance of their docker containers all through one solution.“

“We congratulate Humio on this impressive data processing milestone,” said John Gamble, director, product marketing, Corelight, Inc. “Our joint customers place tremendous value on Humio’s ability to cost-effectively store and rapidly query Corelight’s log volumes so security analysts can make fast sense of network traffic and move at the speed of attack.“

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Determined to reveal the company solution’s ease to provide live observability at scale, the firm engineers used the native Kubernetes configuration to demonstrate the performance the company’s large-scale enterprise customers are leveraging to maintain observability across their distributed systems.

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January 29, 2019 | Press Release