The Will County Sheriff’s Office found Elastic through a bit of curiosity. Testing the Elastic Stack during free time, the Sheriff's Office learned the basic concepts of what comprises Elasticsearch, Kibana and Logstash. That discovery sparked a major paradigm shift that continues to grow as they implement three major use cases with version 7.2. Learn how the Elastic Stack gave a flexible foundation for the Sheriff's Office to build solutions for Network Monitoring and Security, Operational Analysis at the Will County Adult Detention Facility, and for Crime Analysis in their area.
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.
How CERN uses the Elastic technology stack within 5 different use cases for WLCG grid monitoring: Messaging, Job Monitoring, Data Monitoring, Infrastructure Monitoring and Cloud Benchmarking.
Learn how CERN uses the Elastic Stack for five different use cases for the Worldwide LHC Computing Grid: Messaging, Job Monitoring, Data Monitoring, Infrastructure Monitoring, and Cloud Benchmarking.
KeyBank completely redesigned their end-to-end enterprise monitoring systems two years ago with Kafka and Elasticsearch at the core. After months of design, architecture approval, and implementation, the team found several initial assumptions were wrong and nearly impossible to predict. KeyBank is now evolving the Elasticsearch monitoring system using an iterative design approach to scale the entire system. See what KeyBank learned, as well as how to scale your Elasticsearch system through automation, balancing virtualization against physical computing resources, iterative design, innovation, and some unexpected surprises (the good kind).
In 2015, Pfizer Digital began building out a data lake called the Scientific Data Cloud (SDC). Earlier implementations of this were strictly Hadoop-based, but indexing content in the lake became a necessity, requiring other solutions. Pfizer turned to Elastic, which quickly became a key part of their infrastructure. Hear Kimberly Butler and Jim Silva discuss how Pfizer Digital uses Elastic in a good manufacturing practice (GMP) environment for indexing, audit reporting, and near real-time metric dashboarding, and how the Elastic Stack has become an integral part of the data lake solution at Pfizer.
Machines do the boring, repetitive tasks and humans solve the problems is the motto behind eStruxture’s next generation monitoring solution. ECE has been the key component behind the rapid scaling of eStruxture’s business. Eric Charpentier will share how Elastic is helping eStruxture unify millions of divergent data points and transforming them into human readable and actionable items. See how eStruxture Data Centers are able to build a new model for alarming and alerting using diverse pipelines for multiple types of equipment, and how they provide their teams with the data they need to solve problems.
InfoTrack is a legal technology company whose platform provides integrated search and innovative services for property, company, and personal needs. To remain relevant in today's disruptive digital environment, InfoTrack must rapidly and continuously transform while keeping data at the core of all their decision making.
In this talk, Ashim Joshi, Head of Innovation at InfoTrack, will discuss how partnering with Elastic and using the Elasticsearch Service helped Infotrack tackle a variety of use cases like building a data-lake, and architecting a data-mart layer in a fast and accessible way.
The transition to cloud and containerisation from traditional solutions has changed modern infrastructure in significant ways, requiring new approaches to solve old problems.The technology team at Nine Publishing was given the challenge of rebooting their platform, which created a rare opportunity to build without legacy constraints.
In this talk, Micheal Lorant will share his experience using the Elastic Stack to improve their platform, enabling their business to capture application logs and metrics, gain greater insights into traffic at the edge, and visualise infrastructure health, all within a modern DevOps framework.
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 product roadmaps for Elasticsearch, Kibana, Beats, and Logstash with demos and announcements for everything from rollups to Elasticsearch SQL.
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.
Go behind the scenes and learn how Canvas helps you create pixel-perfect, infographic-inspired, living visualizations in Kibana. Plus, see how the new Elasticsearch SQL language plugs into Canvas.
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.
Hear the Elastic vision for new products, features, solutions, and deployment options straight from Elasticsearch creator Shay Banon.
Get an in-depth look at Elastic App Search, the fastest and simplest way to add search to your internal or external application. Learn how to quickly deploy highly relevant and performant search in your app.
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.