Southern Glazer’s Wine & Spirits is using the Elastic Stack to aggregate, analyze, and query their sales, inventory, and distribution data. Hear how they architected their system to deliver a better search and ordering experience for their customers, as well as how they centrally manage all Elasticsearch deployments on Elastic Cloud Enterprise.
Intercontinental Hotel Group was one of the first companies to run Elastic on a hyper-converged infrastructure. Hear how they made the transition and addressed challenges that arose along the way. Then see how they’re processing more than 8 TB of data every day for operational log analytics, maintaining Kibana dashboards for more than 300 applications, and using machine learning to track transactional metrics for real-time visibility into anomalies in their environment.
Learn how and why the team at CreatorIQ chose the Elastic Stack over SQL Search to help launch their global Discovery platform, the biggest and most successful release to date. After self managing their Elasticsearch 2.x deployment for some time, the team moved to Elasticsearch Service on Elastic Cloud when they upgraded to 6.x for the launch of Discovery in June 2018. They saw immediate improvements in speed, reliability, ease of management, and more. Hear lessons learned on their journey and see how Elastic tools and services gave them the technology and infrastructure they needed to address a huge opportunity in the market.
Hear how Adobe scales, manages multiple use cases, and puts machine learning features to work with Elastic. Learn about extensions to Elasticsearch that allow them to search at scale and see how these extensions have allowed the teams at Adobe to support novel applications like multi-image similarity, semantic querying, face similarity, visual clustering, auto tagging, and more. Plus, hear how they migrated away from Amazon's Elasticsearch Service to a self-managed Elasticsearch cluster for Adobe Lightroom.
Sujith Joseph was one of the earliest adopters of Elastic Cloud Enterprise (ECE). Hear his experiences running ECE in production as Cisco UCS Integrated Infrastructure and learn about the design and configurations that help Cisco index over 3 billion documents each day at a rate of ~400K docs per second using Apache Spark. Plus, see how Elasticsearch machine learning helps Cisco discover custom entities within queries on Cisco.com and how ECE has helped Cisco foster innovation and increase agility for search-based solutions and enabled faster realization of business goals.
It’s all about finding the right data at the right time for CenturyLink, creators of one of the largest networks in the world. See how CenturyLink has evolved their Network Management System and how Elastic plays a big part in their evolving platform. Learn how they address issues like volume, variety, and velocity of data being generated by disparate network devices and how they are creating simple yet scalable solutions to find the right data at the right time.
In 2013, with a growing customer base and ballooning data volumes causing streaming issues and timeouts during high-demand live events, CSG needed extra bandwidth and to move away from SQL databases. They deployed an Elasticsearch cluster as a scalable solution for a high-demand streaming event and eventually turned to Elastic Cloud Enterprise (ECE) to move their logging and search use cases into the cloud. Learn how ECE adoption across their production environment has improved speed and flexibility at CSG.
The Mayr-Melnhof Group is the world’s largest producer of coated, recycled, fiber-based cartonboard, an important manufacturer of virgin fiber-based cartonboard, and the largest producer of folding cartons in Europe and a number of countries outside Europe.
Their aim is to establish the best possible standards and technologies over the long term, in all areas of the business. See how they implemented production process visualization in a highly automated and fragmented industrial, process-control environment. Hear about Industry 4.0 marketing and their real-world implementation using the Elastic Stack.
Divide & Conquer - Logging Architecture in Distributed Ecosystems with Elastic Cloud Enterprise at Otto
The Logging & Monitoring team of Otto.de is directly responsible for each aspect of the logging platform based on Elasticsearch, Kibana and Logstash. They provide an internal SaaS for about 25 development teams with Elastic Cloud Enterprise at the core of their setup. During their journey they have learned how to deal with challenges such as scaling Logstash, housekeeping for Elasticsearch and collecting usage metrics for analytics and billing. Learn how they built a scalable and resilient logging solution for their development teams on AWS, processing up to 350.000 events per second at peak times in a single Elasticsearch cluster.
The HELK project offers another approach for advanced cyber-hunting analytics, focusing on the importance of data documentation, quality, and modeling when developing analytics and making sense of disparate data sources inside the contested environment. Using the ELK Stack as a base and integrating it with other technologies such as Apache Spark and Jupyter allows security analysts to create and deploy interactive hunting playbooks while exposing extra advanced capabilities on the top of the ELK Stack.
As a cybersecurity provider for the nation's largest multi-program science and technology laboratory, home to the fastest supercomputer in the world, and the world's top scientists, ORNL cybersecurity group could not afford complacency. See how ORNL transitioned from using COTS toolset to a more cost-effective and flexible open source model by employing NiFi, Kafka, and the Elastic Stack. Learn how ORNL moved beyond the traditional SIEM architecture to a centralized data hub for security related information, providing better opportunities for collaboration between researchers and operations.
The CERDEC/ARL CSSP (Cyber Security Service Provider) performs network and system monitoring for DoD entities. We leverage the Elastic Stack to efficiently navigate our data and gain critical insights into activities and trends among the networks we cover. The open nature of the APIs in the Elastic Stack gives us easy access to our data so that we can perform analysis and enable research into new methods of protecting our nation's defenses. The intuitive and extendable interfaces allow our analysts to visualize and share data supporting better collaboration and investigative capabilities.
The HEDC provides a hosting service for more than 100 information systems supporting the USAF. However, the team at HEDC had a problem — how to collect, monitor, and analyze the logs from these diverse information systems and its supporting infrastructure and provide near real-time continuous RMF compliance monitoring at the scale of a multi-tenant hosting platform. The answer: innovate to deliver logging and DoD compliance monitoring for the life-cycle of hosted information systems as an integrated service within the HEDC PaaS using Elastic Cloud Enterprise.
When people hear Elasticsearch, there is a natural inclination to think only about search. But Elasticsearch is not just about search. At its core, it’s designed to help users converse with their data and tell stories with it. Every query a user writes originates from a business question. In this session, you’ll learn some powerful ways to use Elasticsearch for question answering and hear how ClearQuery can be used to expose intelligence and actionable insights.
TV 2 is one of the largest streaming service in Norway. They’re working toward a more consumer-centric approach in order to enhance the product and customer experience. Learn how they have built both a customer-focused company culture and an analytics platform using the Elastic Stack.
Learn best practices for squeezing every last drop of performance out of Elasticsearch queries and aggregations -- all based off of real-world production clusters. From small clusters to hundred-node clusters, learn which knobs and dials to consider when optimizing for search. You’ll get insight into indexing and sharding strategies, index and mapping settings, query and aggregation types as well as basic profiling, and benchmark methodologies and knowing when to scale up.
One of Canada’s largest telecommunications company is using Elastic to drive improved security analysis in their SOC. With a need to ingest all security logs, build threat detection models, and normalize many new types of logs, the Bell security team turned to Elastic. Learn how they’ve streamlined alerts, deepened log analysis, and addressed challenges unique to being an ISP.
With the growth of machine and agronomic telematics applications, the teams at John Deere have been on a journey to scale up their Elasticsearch use cases. Learn how they handled the transition and see how they plan to expand to log management, metrics analytics, and other new and exciting initiatives with ECE.
The Elastic Stack has been integral to the growth of E*Trade’s real-time operational intelligence pipeline. Hear their journey to adopting Elastic machine learning features and see firsthand how they’re using them to identify anomalies using full-text aggregations and performance data.
This 20-minute practical session will give you an idea of how you can advance on the road to AIOps by automating root cause analysis with the Elastic Stack. How to save time and effort when dealing with multiple alerts, systems or applications, how to quickly identify false positives and ultimately address more precisely the causes of issues in your IT environment? By analyzing events from the Elastic Stack and applying a supervised Machine Learning algorithm, we can pinpoint root causes with higher accuracy and respond better and faster.