Welcome!

@DevOpsSummit Authors: Zakia Bouachraoui, Elizabeth White, Yeshim Deniz, Liz McMillan, Pat Romanski

News Feed Item

Prelert Empowers Developers with Open API to Anomaly Detective® Advanced Analytics Engine

Prelert, the anomaly detection company, today announced that it is enabling developers and power users to leverage its Anomaly Detective® advanced analytics engine through an open API. Enterprise users and developers, cloud service providers and technology vendors can now harness the power of machine learning based anomaly detection analytics to better manage complex online services, detect the earliest signs of advanced security threats and gain insight to business opportunities and risks represented by changing behaviors hidden in their massive data sets.

"The massive data sets generated by the rapidly expanding world of the Internet of Things are so large and complex that it's virtually impossible for humans to spot important behavioral changes that could solve key issues, reveal the next big ideas, or even open doors to whole new markets,” said Jeffrey M. Kaplan, Managing Director of IT strategic consulting firm, THINKstrategies, Inc. "The only way to overcome this challenge and capitalize on this unprecedented opportunity is to leverage machine-driven analytics that flag anomalous behaviors of significance so organizations can act on them."

Prelert’s Anomaly Detective uses advanced analytics based on unsupervised machine learning to process huge volumes of streaming data, automatically learn normal behavior patterns represented by the data and identify and cross-correlate anomalies. Proven in more than 90 production installations, Prelert’s analytics engine routinely processes millions of data points in real-time and identifies performance, security and operational anomalies and their causes as they develop so they can be acted on before they impact business.

“Explosive growth in computing scale and the accompanying data it generates have made it increasingly difficult for software developers and DevOps practitioners to discover problems that arise in these massive infrastructures,” said Donnie Berkholz, analyst at the developer-focused firm RedMonk. “By providing an open API to its anomaly detection engine, Prelert is addressing this need by enabling developers to leverage its machine learning tooling in their projects — whether the data is stored in a proprietary database, Hadoop, or another SQL or NoSQL data store.”

Prelert’s API provides a REST interface that allows real-time or batch analysis of massive data sets by its anomaly detection engine. A free license of Prelert’s anomaly detection engine and API is available for download at info.prelert.com for evaluation, development and testing. Pricing for production use is based on the number of concurrent analyses being run.

Prelert’s GitHub site contains open source tools and examples along with an open source UI based on Kibana.

“Prelert has the only advanced machine learning anomaly detection engine that has been proven in more than 90 production installations,” said Mark Jaffe, Prelert’s CEO. “Through our work with Splunk and other partners, we’ve proven that the technology can provide an immediate return on investment. With the open API, developers can apply the technology wherever needed to make their software applications, IT environment or technology products successful.”

IT professionals and app developers who wish to download Prelert’s open API for use in their applications can do so starting today at info.prelert.com.

About Prelert

Prelert is the anomaly detection company. Its automated behavioral analytics make it easy for users and developers to uncover real-time insights into the operational opportunities and risks hidden in massive data sets. By using unsupervised machine learning technology, Prelert enables non-data scientists to go beyond the limits of search to quickly derive value from their organization’s data. To learn more, please visit www.prelert.com or follow @Prelert.

More Stories By Business Wire

Copyright © 2009 Business Wire. All rights reserved. Republication or redistribution of Business Wire content is expressly prohibited without the prior written consent of Business Wire. Business Wire shall not be liable for any errors or delays in the content, or for any actions taken in reliance thereon.

@DevOpsSummit Stories
CloudEXPO | DevOpsSUMMIT | DXWorldEXPO Silicon Valley 2019 will cover all of these tools, with the most comprehensive program and with 222 rockstar speakers throughout our industry presenting 22 Keynotes and General Sessions, 250 Breakout Sessions along 10 Tracks, as well as our signature Power Panels. Our Expo Floor will bring together the leading global 200 companies throughout the world of Cloud Computing, DevOps, IoT, Smart Cities, FinTech, Digital Transformation, and all they entail. As your enterprise creates a vision and strategy that enables you to create your own unique, long-term success, learning about all the technologies involved is essential. Companies today not only form multi-cloud and hybrid cloud architectures, but create them with built-in cognitive capabilities.
For far too long technology teams have lived in siloes. Not only physical siloes, but cultural siloes pushed by competing objectives. This includes informational siloes where business users require one set of data and tech teams require different data. DevOps intends to bridge these gaps to make tech driven operations more aligned and efficient.
Daniel Jones is CTO of EngineerBetter, helping enterprises deliver value faster. Previously he was an IT consultant, indie video games developer, head of web development in the finance sector, and an award-winning martial artist. Continuous Delivery makes it possible to exploit findings of cognitive psychology and neuroscience to increase the productivity and happiness of our teams.
Atmosera delivers modern cloud services that maximize the advantages of cloud-based infrastructures. Offering private, hybrid, and public cloud solutions, Atmosera works closely with customers to engineer, deploy, and operate cloud architectures with advanced services that deliver strategic business outcomes. Atmosera's expertise simplifies the process of cloud transformation and our 20+ years of experience managing complex IT environments provides our customers with the confidence and trust that they are being taken care of.
Serveless Architectures brings the ability to independently scale, deploy and heal based on workloads and move away from monolithic designs. From the front-end, middle-ware and back-end layers, serverless workloads potentially have a larger security risk surface due to the many moving pieces. This talk will focus on key areas to consider for securing end to end, from dev to prod. We will discuss patterns for end to end TLS, session management, scaling to absorb attacks and mitigation techniques.