Come network, hear how Machine Learning and Elasticsearch can be combined and see how Datadog leverages Elasticsearch. Food and refreshments will be provided. Datadog is hosting us but for security reasons, they may not be able to accommodate ad-hoc visitors. So please make sure to RSVP if you want to attend.
Extending the Elastic Stack with Machine Learning
Prelert's machine learning-based behavioral analytics platform extends and accelerates the value you derive from the Elastic Stack by automatically detecting abnormal behavior patterns in your data - thus identifying changes that can impact application performance/availability or identifying behaviors that may be indicative of advanced security threats. Through Rich Collier's work across a broad spectrum of organizations implementing advanced analytics, he has several key use cases of significant benefit to Elastic users at any stage of adoption.
Rich Collier – Director Customer Solutions, Prelert. Rich has over 20 years experience as a Solutions Architect / Pre-Sales Systems Engineer for high-end software, hardware, and service solutions. Rich’s technical specialties include: Big data analytics, Machine learning, Anomaly detection, Threat detection, Security Operations, Application Performance Management, Web Applications, and Contact Center Technologies.
Elasticsearch at Datadog
Datadog is a SaaS-based infrastructure monitoring company. We process billions of data points every day including metrics and events. Metrics are things like CPU utilization, database keys, queue lengths and more. Events are more varied and include completed Chef job notifications, GitHub commits, and Docker container status. Storing this information and being able to make use of it in our Stream and our Dashboards is challenging. We started with Postgres like many of you probably did. But as our needs grew, we moved to various configurations of Elastic, learning as we went. Elastic is now a core component in how we can do what we do, indexing vast numbers of events every second. In this talk, you will see how Datadog uses an Elastic cluster to create a fast and efficient environment for thousands of customers and how we keep an eye on it to ensure it stays that way.
Matt Williams is the DevOps Evangelist at Datadog. He is passionate about the power of monitoring and metrics to make large-scale systems stable and manageable. So he tours the country speaking and writing about monitoring with Datadog. When he's not on the road, he's coding. You can find Matt on Twitter at @Technovangelist.