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April 27, 2015 1:11 PM ET

Internet Software and Services

Company Overview of Sumo Logic, Inc.

Company Overview

Sumo Logic, Inc., a machine data intelligence company, provides cloud-based log management and analytics services. The company enables enterprises to collect and analyze machine data from virtual sources that include servers, virtualization and security infrastructure, network devices, custom and third-party applications, databases, RFID scanners, and more. It offers Elastic Log Processing and LogReduce technologies to transform machine data into actionable insights for IT operations, application management, and security and compliance teams. The company also provides Sumo Logic applications to deliver out-of-the box dashboards, reports, saved searches, and field extraction for data sources ...

305 Main Street

Redwood City, CA 94063

United States

Founded in 2010





Key Executives for Sumo Logic, Inc.

Chief Executive Officer, President and Director
Co-Founder and Vice President of Engineering
Co-Founder, Chief Technology Officer and Director
Vice President of Finance
Chief Information Security Officer and Vice President of Security
Compensation as of Fiscal Year 2014.

Sumo Logic, Inc. Key Developments

Sumo Logic Unveils Outlier Detection and Predictive Analytics to Augment Machine Learning and Anomaly Detection Capabilities

Sumo Logic announced the availability of Outlier Detection and Predictive Analytics capabilities that augment its rich and proven machine learning and Anomaly Detection engine with statistical analysis and projection models. The powerful capabilities make Sumo Logic's service offering all-inclusive with built-in Pattern Detection, Anomaly Detection, Transaction Analytics, and now Outlier Detection and Predictive Analytics. The full spectrum capabilities empower DevOps, IT Operations and Compliance and Security teams to gain real-time visibility across thousands of data streams and detect and predict conditions that indicate an onset of performance, reliability or security issues within their apps and services. Outlier Detection is powered by a unique algorithm that can analyze thousands of data streams with a single query, determine baselines and identify outliers in real-time. Purpose-built visualization highlights abnormal behaviors giving Operations and Security teams visibility into critical KPIs (Key Performance Indicators) and KRIs (Key Risk Indicators). Real-time alerts help teams react to and remediate critical issues as they are detected, such as a sudden rise in response time, unusual spike in network traffic or drop in request volume. Users can customize simple input parameters to manage sensitivity, baselines, direction and duration of change. Predictive Analytics capability extends and complements Outlier Detection by predicting future KPI violations and abnormal behaviors through a linear projection model. The ability to observe violations that may occur in the future, such as declining transaction volumes, rise in latency, and decrease in available application resources, helps DevOps, IT Ops, and Security teams address issues before they impact their business. Key Features and Benefits: Outlier Detection: Monitor multi-dimensional KPIs with dynamic thresholds; Simple parameter tuning to customize KPI-specific analysi; Purpose-built outlier visualization; Real-time alerts on outliers. Predictive Analytics: Linear predictive analysis; Real-time alerts for predicted future events. Availability: Both Outlier Detection and Predictive Analytics are currently available for Sumo Logic Enterprise Edition users for no additional fee.

Sumo Logic Appoints Ramin Sayar as President and Chief Executive Officer

Sumo Logic announced the appointment of Ramin Sayar as president and chief executive officer. Sayar hails from VMware, where he was senior vice president and general manager of the Cloud Management Business Unit. Sayar will lead Sumo Logic as it becomes the de facto purpose built, cloud-based data analytics platform for enterprises to ensure flawless delivery of mission critical applications and services.

ExtraHop Announces Partnership with Sumo Logic

ExtraHop and Sumo Logic announced a partnership that combines wire data from ExtraHop with Sumo Logic’s scalable machine data analytics platform for powerful insights into enterprise IT infrastructure. The technology partnership leverages ExtraHop’s Open Data Stream to provide a single, unified view of wire data and machine data within the Sumo Logic cloud analytics service, delivering deep, rich, correlated visibility across all tiers of IT infrastructure. Armed with contextual insights from multiple data sources, enterprise IT teams are empowered to address service issues and security threats more quickly and effectively. The ExtraHop and Sumo Logic integration enables users to send precise, policy-driven events and metrics from the ExtraHop platform to the Sumo Logic platform in real-time via Open Data Stream for multidimensional analysis and correlation with other machine data sources. By coupling wire data from ExtraHop with Sumo Logic’s insight into the IT infrastructure that underlies enterprise applications, IT teams have the visibility they need to investigate and remediate issues affecting performance, availability, and security across infrastructure. Purpose-built for web-scale enterprises, Sumo Logics’s cloud-first platform ingests more than 14 trillion logs daily and dynamically scales as business needs evolve. With ExtraHop and Sumo Logic, enterprise IT teams can achieve the easily determine the slowest stored procedures for applications; Identify misconfigured DNS servers that are returning errors; Surface potential security threats by cross-referencing wire data and enterprise application data; Pinpoint Citrix XenApp servers responsible for slow application launch times along with the users affected and the cause; Detect anomalies through Sumo Logic and then explore contextual communications in ExtraHop; and Simplify IT operations across the board with best-in-class analytics solutions that are easy to deploy and maintain.

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