New Versions of Splunk Enterprise, Splunk Cloud, Splunk ITSI,
Splunk UBA and Splunk Machine Learning Toolkit Now Available
SAN FRANCISCO--(BUSINESS WIRE)--Apr. 24, 2018--
Inc. (NASDAQ: SPLK), first in delivering “aha” moments from machine
data, today announced new and expanded artificial intelligence (AI)
capabilities across its product portfolio. With the power of AI, Splunk
customers can use Splunk solutions to help boost their profitability,
performance and security. Splunk also expanded integration capabilities
with open source software and cloud-native technologies as part of its
ongoing commitment to provide a true, open machine data platform for
customers. To learn more and experience Splunk® Enterprise
and Splunk Cloud™, visit the Splunk
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“Organizations frequently consume high amounts of staff time and
resources to monitor, analyze and respond to IT operational alerts.
Splunk’s new AI enhancements, including the ability to correlate metrics
and activity data, enable customers to get answers from their machine
data more efficiently,” said Tim Tully, chief technology officer,
Splunk. “Our latest wave of innovation is intended to arm customers with
the tools needed to translate AI into actionable intelligence. While AI
and machine learning often seem like unattainable and expensive pipe
dreams, Splunk Cloud and Splunk Enterprise now make it easier and more
affordable to monitor, analyze and visualize machine data in real time.”
Splunk Platform Helps Accelerate Customers’ Digital Transformation
Through AI and an Expansive and Open Ecosystem
Splunk Cloud and Splunk Enterprise 7.1 deliver AI through machine
learning to help customers monitor, search and alert on the critical
information organizations need to accelerate their business. These
latest releases include an updated metrics engine to power customers’
ability to monitor and alert on numeric data points - from CPU speeds
and available hard disk space in a complex IT environment, to
temperature readings in Internet of Things (IoT) devices and sensors.
The latest versions are also the only enterprise-class data analytics
solutions that can ingest petabytes of data per day, as well as search,
monitor and alert on that data in real time. With these enhancements,
users are better positioned to make sense of their machine data to
predict future IT, security and business outcomes.
Splunk Cloud offers customers maximum control and real-time access to
their data. This Splunk Cloud release features Dynamic Data:
Self-Storage, arming customers with the flexibility to move data from
Splunk to their own Amazon S3 storage environment.
“At T-Mobile we’re all about putting customers first, and with Splunk
Enterprise we can ensure our customers get the best experience possible
when they’re activating a phone, making a call or paying a bill,” said
Jonathan Silberlicht, senior director, network service management,
T-Mobile. “For example, with the new Splunk Connect for Kafka, we are
expanding our real-time analytics capabilities, in turn empowering our
front line to make better informed decisions when serving customers. We
plan to continue to rely on Splunk Enterprise, Splunk IT Service
Intelligence and Splunk Machine Learning to help us scale at Un-carrier
To expand its open technology ecosystem, Splunk introduced new data
integrations with open source software projects and cloud-native
- Splunk Connect for Kafka integrates the Splunk platform with
Apache Kafka, a highly scalable and reliable method for handling
real-time streaming data.
- Splunk Connect for Kubernetes and Splunk Connect for Docker unify
the Splunk platform with the leading solutions for automating
deployment, scaling and management of containerized applications.
“Splunk Connect for Kafka will improve our investigation of web
activity, performance and security use cases,” said John Swanson,
security incident response manager, GitHub. “We're now able to ingest
large, near-real-time data streams and are consuming terabytes of logs
from our Kafka cluster into Splunk Enterprise every day.”
Splunk Machine Learning ToolkitAdds Experiment Management
Interface and New Algorithms for Pattern Prediction
Splunk is also announcing a new Experiment Management Interface for its
Machine Learning Toolkit (MLTK). This interface makes it easier to view,
control, evaluate and monitor the status of machine learning
experiments. The latest Splunk MLTK also includes new algorithms for
identifying patterns and determining the best predictors for training
machine learning models.
“Hyatt uses machine learning in Splunk Enterprise to predict when and
where we should act fast or plan differently to best serve our
customers,” said Cesar Mendoza, application development manager,
strategic systems and innovation, Hyatt. “We used the free Splunk
Machine Learning Toolkit to benchmark typical Wi-Fi usage from customers
across hotel sites, and used that baseline to spot low traffic. We
immediately contacted our wireless service provider to correct
connection issues before our customers had to call us. We’re using
artificial intelligence through Splunk to more proactively serve our
customers in this way every day.”
Splunk IT Service Intelligence (ITSI) Predicts Outages and Service
Health and Splunk User Behavior Analytics(UBA) Accelerates
Threat Identification via Machine Learning
In the latest release of monitoring and analytics solution Splunk ITSI,
customers can leverage AI to help predict imminent outages and how their
service health could be impacted by these outages before they occur,
reducing the risk of negative impact to end-customer experience and
revenue. Splunk ITSI also applies machine learning to help reduce event
noise and automatically identify the events that are most business
critical, so that customers can resolve those first. Similarly, the
Splunk UBA updates include new machine learning models and enhancements
to existing models to help customers identify and address time-sensitive
security problems and insider threats more quickly.
Prescriptive Solutions Help Customers Solve Unique Challenges
New solutions focused on the IoT and other use cases are helping Splunk
customers solve defined challenges. Splunk recently announced the
limited availability release of Splunk Industrial Asset Intelligence,
which helps manufacturers monitor and analyze industrial IoT data in
Continuing this prescriptive approach, the Splunk Essentials series are
free, easy-to-install applications that show users exactly how to use
Splunk Enterprise and Splunk Cloud to address mission critical use
cases. Splunk Security Essentials covers use cases such as brute force
detection, malware and General Data Protection Regulation (GDPR)
compliance while Splunk Security Essentials for Fraud Detection covers
use cases such as healthcare insurance billing and wire transfer fraud.
Both applications and forthcoming Splunk Essentials are available for
free at https://splunkbase.splunk.com/.
About Splunk Inc.
Splunk Inc. (NASDAQ: SPLK) turns machine data into answers.
Organizations use market-leading Splunk solutions with machine learning
to solve their toughest IT, Internet of Things and security challenges.
Join millions of passionate users and discover your “aha” moment with
Splunk today: http://www.splunk.com.
Social Media: Twitter
Splunk, Splunk>, Listen to Your Data, The Engine for Machine Data,
Splunk Cloud, Splunk Light and SPL are trademarks and registered
trademarks of Splunk Inc. in the United States and other countries. All
other brand names, product names, or trademarks belong to their
respective owners. © 2018 Splunk Inc. All rights reserved.
View source version on businesswire.com: https://www.businesswire.com/news/home/20180424005597/en/
Source: Splunk Inc.
Melanie Duzyj, 415-510-7808
Ken Tinsley, 415-848-8476