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 speed.”
To expand its open technology ecosystem, Splunk introduced new data integrations with open source software projects and cloud-native technologies including:
- 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 Toolkit Adds 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 real time.
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.
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