JPL systems engineers are responsible for the system design across the lifecycle of a flight project, and capturing the complexity of this decision-making process is a difficult task. See the software approach that allows system engineers to document, query and perform analysis on highly structured data.
As a physician and software developer, Dr. Schulz manages the informatics related to next generation sequencing of cancer at the Yale Department of Laboratory Medicine. This talk will focus on how their team uses Elasticsearch to power their research database that is used by clinicians and researchers to identify novel causes of cancer, potential therapeutic targets, and determine if patients are eligible for clinical trials.
See time series forecasting and automatic log data categorization in action firsthand. Elastic machine learning features have grown into a powerful tool that automates notifications for anomalies and simplifies tasks like pre-configuring NGINX log analysis at scale. Learn how to put them to work on your data.
Interested in staying ahead of the adversary in a shifting security landscape? Learn how to create a centralized security analytics platform with the speed and scale you need for ad hoc analysis during threat detection and hunting exercises.
Learn how Elasticsearch efficiently combines logs, metrics, and APM data in a single store and see how Kibana is used to search logs, analyze metrics, and leverage APM features for better performance monitoring and faster troubleshooting.
Scale with confidence. From deploying a small dev cluster for app search to managing a prod deployment of hundreds of nodes, our Elastic experts have seen it all and they’re sharing everything you need to know.
The Platform Engineering Team at Mindcurv is complementing their platform observability with Elasticsearch Service on Elastic Cloud. Learn how they’re using machine learning to auto-detect anomalies across millions of events in Kubernetes.
Join our team of expert instructors and explore multi-fields, a concept discussed in the Elasticsearch Engineer I training course. You’ll get a firsthand look at how to configure Elasticsearch to create multiple inverted indices for the same field by indexing a field different ways.
The H-E-B grocery chain has grown from a store to so much more, including the Central Market specialty food stores, where Elasticsearch has played a key role in the development of search across their extensive product catalog. Learn how H-E-B uses Elasticsearch to power several applications for Central Market, across their omnichannel experience, to provide a faster, more relevant search experience for customers. Plus, see how they’re using the Elastic Stack to better understand customer behavior and buying patterns to drive more revenue, personalize merchandising real-time, and create a better user experience.