Logz.io

Secure & Scalable Log Management with Cloud-Based ELK

DevOps, Enterprise, Information Technology (IT)
Machine Learning

Business Overview

Logz.io is the provider of a predictive Elasticsearch, Logstash, and Kibana (ELK) predictive log analytics cloud service. The company makes log data meaningful by offering ELK – one of the most popular open-source log analytics platforms – as a predictive, enterprise-grade software as a cloud service.Powered by machine-learning algorithms and behavioral-learning intelligence, Logz.io’s platform provides real-time access to insights based on the collaborative knowledge of DevOps professionals, site-reliability engineers, system administrators, and software developers around the world.

Operating Status
Active
Founded
September 2014
Employees
240
Business model
B2B, B2G
Offering type
Software
Funding stage
Series E
Business stage
Launched
Revenue status
Revenue Generating
Total funding
$123 Million
Sectors
DevOps, Enterprise, Information Technology (IT), Log

Founders

Logz.io
Tomer Levy
CEO
Serial Entrepreneur
Logz.io
Asaf Yigal
VP of Product

Board Members and Advisors

Logz.io
Asaf Yigal
Board Member
Logz.io
Erez Ofer
Board Member
Logz.io
Eyal Niv
Board Member
Logz.io
Tomer Levy
Board Member

Funding Rounds

Calculated as the average ratio between the current funding round amount raised and the previous funding round amount raised. Note that 'plus' rounds are summed together. i.e. Series A = Series A and Series A+.
Funding Growth Multiple
2.9x

New wpDataTable

Date Announced

Funding Round

Amount Raised

Investors

AI Technology Stack

AI Description

Log Patterns uses advanced clustering techniques to automatically analyze millions of log messages and identify in real-time recurring patterns in the data to help engineers streamline investigation and troubleshooting.

Using machine learning together with crowdsourcing, Logz.io enables you to identify critical issues in your application delivery pipeline before they impact your business. Equipped with actionable data, you can understand the context in which these events are taking place to connect the dots and take action in time.

AI employees
4
AI types
Machine Learning
AI algorithms
Clustering
Coding
Python
Consulting partner

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