Agenda

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  • 9:00
    • Elastic Stack Workshop (Hands-On Training)
    • Advanced Elasticsearch: Data Modeling (Hands-On Training)
  • 9:00
    • From Ingestion to Analysis: How to Make the Elastic Stack Work for You (Lecture Training)
    • Upgrading the Elastic Stack (Lecture Training)
  • 11:00
    • Registration Open, Lunch
    • Ask Me Anything, Demos, Sponsor Showcase
  • 1:00
    Opening Keynote
  • 3:00
    • What's Evolving in Elasticsearch?
    • Data Intelligence with the Elastic Stack @ Scale: NVIDIA's User Experience Streaming Analytics
    • Cost Transparency at Credit Suisse – The Elastic Stack Way
  • 4:00
    • What's Cookin' in Kibana?
    • Streamlining Healthcare and Research: The Story of Elasticsearch at UCLA Health
    • Elastic @ General Mills: The Journey Continues
  • 5:00
    • What's Brewing in Beats?
    • Products, Support, Commerce, and Relevancy: The Story Behind Search on Dell.com
  • 5:45
    Welcome Reception
  • 9:00
    • Breakfast
    • Ask Me Anything, Demos, Sponsor Showcase
  • 10:00
    • What's the Latest in Logstash?
    • Advancing Earth Science with Elasticsearch at Terradue
  • 11:00
    • What's X‑citing in X‑Pack?
    • Get the Lay of the Lucene Land
  • 11:45
    Lunch
  • 1:15
    • Machine Learning in the Elastic Stack
    • Building a Near Real-Time Pipeline for All Things Blizzard
  • 1:40
    Walgreens' Journey To Creating an End-to-End Search Platform
  • 2:15
    • Getting the Most Out of Elastic Cloud
    • IT as the Transmission of the Sprint Business Engine
  • 3:15
    • Introducing Elastic Cloud Enterprise
    • From Enterprise Splunk to Elasticsearch at Target
  • 3:40
    This Paper Has Been Plagiarized: How Blackboard Curbs Cheating with Elasticsearch
  • 4:15
    • How Workday Built their Metrics Pipeline with the Elastic Stack
    • Retail Fraud Detection and Real-Time Inventory Reporting @ Walmart
  • 7:00
    Elastic{ON} Party
  • 9:00
    • Breakfast
    • Ask Me Anything, Demos, Sponsor Showcase
  • 10:00
    • The Evolution of Log Insight at MZ Games
    • Tinder: Using the Elastic Stack to Make Connections Around the World
  • 11:00
    • Security @ Slack
    • The Hotel NERSC Data Collect: Where Data Checks In, But Never Checks Out
  • 11:45
    Lunch
  • 12:45
    • The Hitchhiker's Guide to Verizon's Elastic Stack
    • Powering Uber Marketplace’s Real-Time Data Needs with Elasticsearch
  • 1:45
    • 'Elasticsearch as a Service' in eBay
    • What's the Scoop on ES-Hadoop? Spark, Streaming & More
  • 2:45
    Closing Keynote

Elastic Stack Workshop (Hands-On Training)

9:00 - 5:00
Topics: Elastic Stack, Pre-Conference Training

Ready to leverage the combined power of Elasticsearch, Kibana, Beats, and Logstash? Then this course is for you. Learn how to install and configure Elastic's open source stack to search, analyze, and visualize data from any source.

*Training not included in conference registration fee

Abdon Pijpelink
Education Engineer, Elastic

Advanced Elasticsearch: Data Modeling (Hands-On Training)

9:00 - 5:00
Topics: Elasticsearch, Pre-Conference Training

This course is for engineers who are building applications and workflows involving Elasticsearch. Students will work through popular use cases, data models, and designs in a practical manner while guided and instructed by Elastic engineers.

*Training not included in conference registration fee

Ryan Schneider
Education Engineer, Elastic

From Ingestion to Analysis: How to Make the Elastic Stack Work for You (Lecture Training)

9:00 - 12:00
Topics: Elastic Stack, Pre-Conference Training

Now that you know the latest features of the Elastic Stack, how do you put them into action? When do you use Beats, when do you use Logstash, and when is ingest node the best way to go? In a combination of slides + live demos, our world-class trainers will go through a step-by-step process on how to architect the Elastic Stack for a few of our most popular use cases.

*Training not included in conference registration fee

Pablo Musa
Education Engineer, Elastic

Upgrading the Elastic Stack (Lecture Training)

9:00 - 12:00
Topics: Elastic Stack, X-Pack, Pre-Conference Training

Need to understand the best practices and recommendations for upgrading a full Elastic Stack? We'll cover a step-by-step upgrade of an Elastic Stack platform with Elasticsearch, X-Pack, and Kibana, as well as your Logstash and Beats pipeline.

*Training not included in conference registration fee

Registration Open, Lunch

11:00 - 1:00

Check in, grab your badge, and get a bite to eat before things kick off with the opening keynote!

Ask Me Anything, Demos, Sponsor Showcase

11:00 - 7:00

Elastic developers, product managers, support engineers, and executives are at the Ask Me Anything (AMA) station to field questions from you all day, every day. It's a unique opportunity to chat directly with the people behind the projects you know and love.

You can also spend some time with our sponsors, who have deep Elasticsearch expertise, to learn if they can help with your use case(s), as well as stop by a demo booth to see one of our solutions architects put the Elastic Stack into action.

Opening Keynote

1:00 - 2:30

Say "heya" to Elastic{ON}17, the largest single gathering of Elastic Stack users around the world. Hear from Elastic's founders — Steven, Shay, Simon, and Uri — and key folks from our engineering and product teams about new and key product announcements and our advancements in machine learning, metrics, and more.

Steven Schuurman
Co-Founder & CEO
Elastic
Shay Banon
Co-Founder & CTO
Elastic

What's Evolving in Elasticsearch?

3:00 - 3:45
Topics: Elasticsearch

The 5.0 release of Elasticsearch took advantage of the cleanups in 2.0 to add a slew of new features on top of a rock-solid foundation.

Clint and Simon will give an overview of the changes already released in the 5.x series, and a taste of the big new features coming in 6.0.

Simon Willnauer
Co-Founder & Elasticsearch Tech Lead
Elastic
Clinton Gormley
Elasticsearch Team Lead
Elastic

Data Intelligence with the Elastic Stack @ Scale: NVIDIA's User Experience Streaming Analytics

3:00 - 3:45
Topics: Elastic Stack, X-Pack, Log Analytics, Metrics Analytics, Entertainment, Technology

NVIDIA collects metrics for every frame streamed, every second spent on GeForce NOW, its streaming video game platform, using the Elastic Stack — enabling business, engineering, operations, and quality assurance teams to assess quality and debug issues in real time.

In this talk, Satish and Niranjan will provide an overview of the GeForce NOW data platform, built on Kafka, Spark, the Elastic Stack, and X-Pack, which handles billions of events every day, as well as give a demo-driven walk-through of their two main use cases: analyzing and enhancing user experience metrics for pre- & post- product launches, and visual logging providing automated {log}-to-dashboard functionality.

Satish Varma Dandu
Software Manager, Data Science & Engineering
NVIDIA
Niranjan Nataraja
Lead Data Scientist
NVIDIA

Cost Transparency at Credit Suisse – The Elastic Stack Way

3:00 - 3:45
Topics: Elasticsearch, Kibana, Elastic Stack, Log Analytics, Business Analytics, Financial Services

Mathias works in the business unit that covers all securities trading activities for the wealth management divisions of Credit Suisse. His team operates an IT platform comprised of a few hundred unique applications. The costs for these applications are charged to Mathias' team and other areas in the bank that depend on their platform, and in return they are charged by other IT platforms within the bank on which they depend. This results in a complex web of charges that need to be monitored carefully.

In this talk, you'll learn how Credit Suisse made this data accessible to end-users for ad-hoc analysis using R, Elasticsearch, and Kibana, as well as lessons learned along the way.

Mathias Richter
STS Platform Coordination
Credit Suisse AG

What's Cookin' in Kibana?

4:00 - 4:45
Topics: Kibana

Kibana is no longer just a data visualization tool — as of 5.0, the project is now a window into the Elastic Stack.

In this talk, Court will share the story behind this transition, insights into how Kibana is so much more than chart and graphs, and details around how the product will continue to add more functionality to centrally configure and manage all aspects of the Elastic Stack, as well as ways for you visualize your data that you didn’t think were possible.

Court Ewing
Kibana Tech Lead
Elastic

Streamlining Healthcare and Research: The Story of Elasticsearch at UCLA Health

4:00 - 4:45
Topics: Elasticsearch, Application Search, Healthcare

As today's healthcare institutions generate more data as a result of the modernization of health record systems, they need a way to search through electronic health records (EHR) and find meaningful insights. UCLA Health has chosen Elasticsearch as its tool of choice to index, search, and produce more thorough, actionable results for clinicians and researchers.

Shehzad and Paul will share how they created a tool using AngularJS, HTML5, Microsoft .NET and NEST libraries with Elasticsearch to index and search through pathology cases, including clinical notes, lab results, and text, in order to retrieve historic patient cases to help with the diagnosis of difficult-to-diagnose cases.

Vivek Katakwar
Analytics Application Developer
UCLA Health
Shehzad Sheikh
Manager, Analytical Solutions
UCLA Health
Paul Tung
Solutions Architect
UCLA Health

Elastic @ General Mills: The Journey Continues

4:00 - 4:45
Topics: Elasticsearch, X-Pack, Application Search, Food & Beverage

The journey of Elastic at General Mills began as they replaced the public-facing, Endeca-based search and service-oriented architecture on their various core website properties, including Pillsbury.com, BettyCrocker.com, BoxTops for Education, Tablespoon.com, and the bilingual QRV.com, with Elasticsearch.

The adventure continues now with using those successes and lessons learned to expand their Elastic use cases in order to move away from a relational database model to a flexible, document-based model across their data.

This talk will cover all the tasty details behind that delicious journey.

Doug Nelson
Application Architect
General Mills, Inc.

What's Brewing in Beats?

5:00 - 5:45
Topics: Beats

Beats are a family of lightweight shippers that send data from edge machines to Elasticsearch. They started with a single Beat – Packetbeat – for network data, and have since expanded to three additional Elastic Beats for log files, metrics, and windows event logs, and more than 30 community-created Beats for all kinds of operational data.

In this session, Monica and Tudor will walk you through the latest Beats and their features, and how they’re making it as easy as possible to get data to the Elastic Stack, so you can get insights out of your data as quickly as possible.

Tudor Golubenco
Beats Creator & Tech Lead
Elastic
Monica Sarbu
Beats Creator & Team Lead
Elastic

Products, Support, Commerce, and Relevancy: The Story Behind Search on Dell.com

5:00 - 5:45
Topics: Elasticsearch, X-Pack, Application Search, Business Analytics, Retail, Technology

For the last several years, the team at Dell has been building a globalized, commercial search and analytics platform to measure, manage, and influence multi-tenant search experiences.

In this talk, Rich and Jagdish will present how Dell.com's search platform was transformed from a high-touch, targeted experience into a single Elasticsearch-powered responsive and multi-lingual experience. They will also present how they've been able to use Elasticsearch to collect and analyze user events, such as click tracking and overall user interaction, and use it to influence search results in a more personalized way, as well as improve key business metrics for the e-commerce giant.

Luis Bocaletti
Solution Architect
Dell Inc.
Rich Claice
Senior Principal Engineer
Dell Inc.

Welcome Reception

5:45 - 7:15

Grab a beer, indulge in some snacks, and get to know our event sponsors, Elastic employees, and other users like you that make the Elastic community what it is – and will make Elastic{ON}17 an event to remember.

The AMA station, sponsor showcase, and demo stations will also be open at this time.

Breakfast

9:00 - 10:00

Make sure to fuel up on food and caffeine in our parking lot full o' food trucks before a jam-packed day of sessions!

Ask Me Anything, Demos, Sponsor Showcase

9:00 - 5:00

Elastic developers, product managers, support engineers, and executives are at the Ask Me Anything (AMA) station to field questions from you all day, every day. It's a unique opportunity to chat directly with the people behind the projects you know and love.

You can also spend some time with our sponsors, who have deep Elasticsearch expertise, to learn if they can help with your use case(s), as well as stop by a demo booth to see one of our solutions architects put the Elastic Stack into action.

What's the Latest in Logstash?

10:00 - 10:45
Topics: Logstash

This session attempts to address one of life's ultimate questions: how many logs can a Logstash stash?

Suyog and Jordan will answer this and other burning Logstash questions, like: can we go faster? What is this persistent queue thing? Any cool new plugin developments? How do I monitor Logstash? What is in the future for the Logstash configuration? How does the Logstash team keep sysadmins and DevOps in mind when working on the product? Is Logstash ever going to get a UI?

Expect to leave with a clear vision of where Logstash is headed and how it fits in as a critical part of your infrastructure.

Suyog Rao
Logstash Team Lead
Elastic
Jordan Sissel
Logstash Creator & Tech Lead
Elastic

Advancing Earth Science with Elasticsearch at Terradue

10:00 - 10:45
Topics: Elasticsearch, Elastic Stack, Application Search, Log Analytics, Technology

Terradue's mission is to make Earth Science move forward. The company develops and operates large cloud solutions for indexing, querying, accessing, and processing millions of data from Earth Observation satellites, and utilizes Elasticsearch to empower users to expound it.

In this talk, Emmanuel will highlight how Terradue uses Elasticsearch in conjunction with the Elasticsearch.Net client to tackle scientific challenges in several domains, such as geohazards for rapid response monitoring of volcanoes or earthquakes, hydrology by mapping flood extent, and urban by detecting settlement footprint.

Emmanuel Mathot
Technical Leader
Terradue

What's X‑citing in X‑Pack?

11:00 - 11:45
Topics: X-Pack

Don’t know what X-Pack is?

X-Pack is a single extension lets you add security (formerly Shield), alerting (via Watcher), monitoring (formerly Marvel), reporting, and Graph functionality across the entire Elastic Stack.

Not only have the capabilities of X-Pack expanded in the past year, but so has its usability, from a better getting started experience to the introduction of several UI features. Needless to say, exciting things are afoot, and the engineers behind X-Pack look forward to sharing what they’re working on with you.

Chris Earle
Monitoring Lead
Elastic
Joe Fleming
Web/UI Developer
Elastic
Mark Harwood
Software Engineer
Elastic
Jay Modi
Security Engineer
Elastic
Alexander Reelsen
Software Engineer
Elastic

Get the Lay of the Lucene Land

11:00 - 11:45
Topics: Elasticsearch

In spite of being close to 20 years old, the Lucene project keeps innovating. While the project was initially focused on full-text search, recent releases expanded its scope, most notably with doc values which made Lucene a competitive engine to run analytics, and multi-dimensional points which made Lucene better at handling structured data.

In this session, Adrien will share the stories between the latest features in Lucene 6, how they impacted Elasticsearch, as well as what to expect in Lucene 7.

Adrien Grand
Software Engineer
Elastic

Lunch

11:45 - 1:15

Revisit the parking lot of food trucks to refuel for a content-packed afternoon.

Machine Learning in the Elastic Stack

1:15 - 2:00
Topics: Elastic Stack, X-Pack

Data stored in Elasticsearch contains valuable insights into the behaviour and performance of your business and systems. However, questions such as "are users exfiltrating data unusually?" and “is the response time of my website unusual?” can be difficult to answer.

The good news is that machine learning technologies, from the recently acquired Prelert team, can easily answer these questions. These technologies are becoming part of X-Pack and will integrate tightly into the Elastic Stack.

Come learn how Prelert works, how it integrates into the Elastic Stack, and what problems you can solve by implementing it in your business.

Sophie Chang
Machine Learning Team Lead
Elastic
Steve Dodson
Machine Learning Tech Lead
Elastic

Building a Near Real-Time Pipeline for All Things Blizzard

1:15 - 2:00
Topics: Elasticsearch, Kibana, Logstash, Elastic Stack, Log Analytics, Business Analytics, Entertainment

With six massively successful game franchises, such as World of Warcraft and Overwatch, Blizzard Entertainment generates a ton of data. Harnessing this data quickly reduces response times for customer-impacting events, helps identify potential problems early, lets them know which game features are working best (or not the best...), and improves all around "time to insight" for any questions they may have throughout their business.

Jordan and Chris will share how they leverage Elasticsearch, Logstash, Kafka, Kibana, tribes, and Node.js to generate actionable value from gamer and server events. You will leave with an appreciation of how they push the limits of technology for the love of the game, and the player.

Chris Burkhart
Technical Lead, Data Team
Blizzard Entertainment
Jordan Irwin
Technical Lead, Battle.net Engineering Systems
Blizzard Entertainment

Walgreens' Journey To Creating an End-to-End Search Platform

1:40 - 2:00
Topics: Elasticsearch, Logstash, Beats, X-Pack, Elastic Stack, Application Search, Log Analytics, Business Analytics, Retail, Healthcare

Walgreens is on a journey towards creating an end-to-end search platform for its website powered by Elasticsearch. In this talk, Syed will walk through the various steps along the way, including a look at why their old Endeca-based search platform was no longer viable, how and why Elasticsearch became their new engine, and the technical and architectural lessons and successes they learned along the way.

You'll also hear how Walgreens continues to expand its use of Elasticsearch to the Elastic Stack and X-Pack to power log management and analysis, including the use of Kibana to visualize technical and business metrics.

Syed Ali
Senior Technical Architect
Walgreens

Getting the Most Out of Elastic Cloud

2:15 - 3:00
Topics: Elastic Cloud

Elastic Cloud lets you deploy and manage a secure Elasticsearch cluster that runs on Amazon in seconds. We handle the operational aspects of scaling, upgrading, and monitoring the infrastructure behind your cluster, so you can focus on the application at hand.

This session will give attendees a thorough understanding of how Elastic Cloud works, how you can plan to scale your cluster with Elastic Cloud, as well as leave you with a concrete list of key of do’s and don’ts.

Alex Brasetvik
Elastic Cloud Creator & Tech Lead
Elastic
Chris Overton
Elastic Cloud Team Lead

IT as the Transmission of the Sprint Business Engine

2:15 - 3:00
Topics: Elasticsearch, Kibana, X-Pack, Elastic Stack, Log Analytics, Business Analytics, Telecommunications, Retail

In this talk, Stefan will share how the IT department at Sprint transformed from beyond ensuring the company has enough hardware and is producing error-free code to helping business units across the company make data-driven decisions.

How?

By ingesting nearly 3 billion records a day, including data from logs, databases, emails, syslogs, test messages, and internal and vendor application APIs, into the Elastic Stack. This 50 TB of real-time data allows their marketing team to monitor the performance and user experience of Sprint.com, their retail operations group to monitor the performance of their demo phones, their wholesale sales unit to understand the hundreds of B2B relationships they maintain, and much, much more.

Stefan Stroebel
Technical Architect IV, Sprint Communications, Inc.

Introducing Elastic Cloud Enterprise

3:15 - 4:00
Topics: Elastic Cloud Enterprise

If you manage multiple Elasticsearch deployments across multiple teams or geographies, this session is for you. Elastic Cloud Enterprise allows you to monitor, manage, and provision one to thousands of Elasticsearch clusters from a central place, on the infrastructures and environments of your choice.

Attend this session to learn why we developed Elastic Cloud Enterprise, receive a high-level architecture overview, and see a live demo of how Elastic Cloud Enterprise is used to provision, secure, scale, and upgrade numerous clusters, as well as recover from host and node failures.

Alex Brasetvik
Elastic Cloud Creator & Tech Lead
Elastic
Uri Cohen
Sr. Director, Product Management
Elastic
Christian Strzadala
Software Engineer
Elastic

From Enterprise Splunk to Elasticsearch at Target

3:15 - 4:00
Topics: Elastic Stack, Log Analytics, Retail

The Site Reliability team at Target is passionate about building tools for their developers to better understand performance and stability of their applications. As Target moved increasingly high-visibility applications to their cloud platform, the team chose to Elasticsearch as their log aggregation tool.

In this talk, Matt will walk through the architectures they worked through and the challenges they experienced going from zero to multi-terabytes a day in their enterprise environment, while replacing an incumbent Splunk platform their developers already knew and understood.

Matt Helgen
Engineer
Target

This Paper Has Been Plagiarized: How Blackboard Curbs Cheating with Elasticsearch

3:40 - 4:00
Topics: Elasticsearch, Application Search, Education, Technology

Blackboard leverages Elasticsearch to power SafeAssign, its plagiarism detection software. In this talk, Slavomir will walk through some aspects of the service, show how their internal web search engine was born, as well as walk through Blackboard’s journey from a small scale Solr deployment to a multi-terabyte, full-text search engine powered by Elasticsearch. Attendees will also learn from Blackboard’s experiences, challenges, solutions, and best practices from running their infrastructure on AWS.

Slavomir Tecl
Development Manager
Blackboard

How Workday Built their Metrics Pipeline with the Elastic Stack

4:15 - 5:00
Topics: Elasticsearch, Logstash, Elastic Stack, Metrics Analytics, Business Analytics, Log Analytics, Application Search, Technology

After struggling to find a traditional database that could ingest large volumes of application metrics at an acceptable rate, Workday noticed that each of their already existing Elastic Stack deployments were able to process over 1 billion log events a week without issues. This talk will share how Workday Search expanded their deployment by implementing a robust, easy-to-use metrics processing pipeline.

Bo and Thomas will provide details on how they architected their pipeline, the scripts and frontend tools they use to visualize their data and proactively alert them to issues in production, as well as the metrics they look at to provide insight into usage patterns and facilitate intelligent product decisions.

Bodecker DellaMaria
Software Engineer
Workday
Thomas Kim
Principal Engineer
Workday

Retail Fraud Detection and Real-Time Inventory Reporting @ Walmart

4:15 - 5:00
Topics: X-Pack, Elastic Stack, Business Analytics, Security Analytics, Retail

Did you know that Walmart sells about 156 bananas per second? Thanks to the Elastic Stack, they do. What started as an engineering hack to prove the banana myth is now a fully-operational self-service analytics platform for Walmart’s data scientists.

In this talk, you'll learn how the Elastic Stack helped Walmart reveal the hidden potential of its data to detect fraud, gain insights about customer purchasing patterns, and track store performance metrics — all in near real time. The Walmart Technology team will also share how they leverage the various features of X-Pack for security with SSO, alerting for fraud detection, and monitoring for DevOps.

Kevin Conaway
Engineer, Walmart
Srinivas Singanamalla
Engineer, Walmart

Elastic{ON} Party

7:00 - 11:00

We're excited to celebrate the 3rd annual Elastic{ON} with you at . . . the California Academy of Sciences!

We've rented out the entire museum to make sure there's something fun for everyone, whether it's getting your space geek on at the planetarium, going for a walk on the wild side through a four-story rainforest, or spending some time under the sea in the aquarium. We'll also have a DJ pumping the jams all night — so make sure to get your body on the dance floor!

And don't worry, there will be plenty of food and drinks — this is a party, after all. Transportation will also be provided between the official Elastic{ON} hotels and the Party.

Breakfast

9:00 - 10:00

Make sure to fuel up on food and caffeine in our parking lot full o' food trucks! If you attended the Elastic{ON} Party the night before, you'll probably need it.

Ask Me Anything, Demos, Sponsor Showcase

9:00 - 3:30

Elastic developers, product managers, support engineers, and executives are at the Ask Me Anything (AMA) station to field questions from you all day, every day. It's a unique opportunity to chat directly with the people behind the projects you know and love.

You can also spend some time with our sponsors, who have deep Elasticsearch expertise, to learn if they can help with your use case(s), as well as stop by a demo booth to see one of our solutions architects put the Elastic Stack into action.

The Evolution of Log Insight at MZ Games

10:00 - 10:45
Topics: Elastic Stack, Log Analytics, Business Analytics, Entertainment

Machine Zone is the company behind massively-multiplayer online games Game of War, Fire Age, and Mobile Strike. Real-time operation of these games is essential to provide a great user experience. As a result, the engineering team at MZ evolved from using grep with pssh to the Elastic Stack as the critical engine behind their operational intelligence.

In this talk, Eric and Reggie will walk through how they optimized the Elastic Stack over time to maximize their insight, touch upon their infrastructure set up, go over their most commonly used dashboards, share case studies on debugging, as well as provide details on how they established a system to track player activity to support customer service.

Eric Liaw
Director of Engineering
Machine Zone
Reggie Meisler
Developer
Machine Zone

Tinder: Using the Elastic Stack to Make Connections Around the World

10:00 - 10:45
Topics: Elastic Stack, Application Search, Business Analytics, Entertainment, Technology

With more than 26 million swipes daily, Tinder connects more people one-on-one and in real time than any other mobile app in the world. Behind the minimalist UI and elegant "swipe right, swipe left" that Tinder pioneered are tremendous challenges of data science, machine learning, and global scalability.

Hear how Tinder relies on the Elastic Stack to analyze, visualize, and predict not only a) which people a user will swipe right on, or b) which people will swipe right on that user, but c) when there's a mutual swipe match. Tinder's VP of Engineering will describe how the service is growing into a global platform for social discovery in many facets of life.

Maria Zhang
VP of Engineering
Tinder

Security @ Slack

11:00 - 11:45
Topics: Elasticsearch, Security Analytics, Technology

Monitoring for malicious activity and handling the resulting alerts is vital to the success of a defensive security program. Powerful, centralized logging is available to all of us, but it is only useful if we understand and take action on the data collected.

This talk will discuss tools everyone should consider using to monitor their infrastructure, including Elasticsearch, and the process by which users can create a reliable logging pipeline to handle data from thousands of hosts. Ryan and Nate will demonstrate how to scale these efforts by integrating security into a communication platform that helps users look at more data by delegating event management to the affected individuals directly.

Nate Brown
Developer
Slack
Ryan Huber
Security
Slack

The Hotel NERSC Data Collect: Where Data Checks In, But Never Checks Out

11:00 - 11:45
Topics: Elasticsearch, Metrics Analytics, Log Analytics, Energy & Utilities, Government

The NERSC data collect system is designed to provide access to 30TB of logs and time-series data generated by the supercomputers at Berkeley Lab. This talk will cover the life of an index inside the cluster, from initial tagging, node routing, snapshot/restore, use of aliases to combine indexes, and archiving on high disk capacity nodes using generic hardware. Additionally, Thomas and Cary will highlight several aspects of using Elasticsearch as a large, long term data storage engine, including index allocation tagging, use of index aliases, Curator and scripts to generate snapshots, long term archiving of these snapshots, and restoration.

Thomas Davis
Architect & Project Lead
National Energy Research Scientific Computing Center
Cary Whitney
Computer Scientist
National Energy Research Scientific Computing Center

Lunch

11:45 - 12:45

Last chance to get your grub on at the parking lot of food trucks before things start to wind down for this year's Elastic{ON}.

The Hitchhiker's Guide to Verizon's Elastic Stack

12:45 - 1:30
Topics: Elasticsearch, Kibana, X-Pack, Elastic Stack, Log Analytics, Business Analytics, Security Analytics, Telecommunications

In this talk, the Verizon Wireless Site Reliability Engineering team will share how, over the course of five years, the Elastic Stack transformed how the company thinks about IT Development and Operations, starting with early versions of Elasticsearch to now deploying the entire Elastic Stack and X-Pack as part of their transformation from a small team to a single Center of Excellence.

Peter Linde
Site Reliability Engineer
Verizon
William Russell
Site Reliability Engineer
Verizon

Powering Uber Marketplace’s Real-Time Data Needs with Elasticsearch

12:45 - 1:30
Topics: Elasticsearch, Business Analytics, Transportation

Elasticsearch plays a key role in Uber’s Marketplace Dynamics core data system, aggregating business metrics to control critical marketplace behaviors like dynamic (surge) pricing, supply positioning, and assess overall marketplace diagnostics – all in real time.

In this talk, Jae and Isaac will share how Uber uses Elasticsearch to support multiple use cases at the company, handling more than 1,000 QPS at peak. They will not only address why they ultimately chose Elasticsearch, but will also delve into key technical challenges they’re solving, such as how to model Uber’s marketplace data to express aggregated metrics efficiently, and how to run multiple layers of Elasticsearch clusters depending on criticality, among others.

Jae Hyeon Bae
Technical Lead
Uber
Isaac Brodsky
Software Engineer
Uber

'Elasticsearch as a Service' in eBay

1:45 - 2:30
Topics: Elasticsearch, Application Search, Log Analytics, Business Analytics, Retail

With countless business-critical text search and analytics use cases that utilize Elasticsearch as the backbone, eBay has created a custom 'Elasticsearch as Service' platform to allow easy Elasticsearch cluster provisioning on their internal OpenStack-based cloud platform.

In this talk, Sudeep will walk through each stage of the Elasticsearch-as-a-service lifecycle process — which includes sizing, provisioning, configuring, maintaining, auto-scaling, and decommissioning states — for every Elasticsearch cluster managed within eBay.

Sudeep Kumar
Engineer, eBay

What's the Scoop on ES-Hadoop? Spark, Streaming & More

1:45 - 2:30
Topics: Elasticsearch

Elasticsearch is an industry-leading solution for search and real-time analytics at scale. Apache Spark has shaped into a powerhouse for processing massive data, both in batch and streaming contexts. Elasticsearch for Apache Hadoop (ES-Hadoop) is a two-way connector that provides the tools needed to marry these two together in perfect data harmony.

This talk aims to introduce the audience to the basics of ES-Hadoop’s native Spark Integration, touch upon the other features that the connector brings to the table (including native integrations with Hive, Storm, Pig, Cascading, and MapReduce), shed some light on the internals of how it works, as well as highlight what's to come.

James Baiera
Software Engineer, Elastic

Closing Keynote

2:45 - 3:30

Join us to touch upon key highlights and say goodbye to each other as Elastic{ON}17 comes to a close.