Datadog Summit Seattle - Spring 2019 | Datadog

April 16, 2019
Seattle, WA

We invite you to join us for Datadog Summit Seattle on April 16, 2019. The summit is a one-day event focused on you—our customers and community.

At the Datadog Summit, you will meet and learn from fellow community members, contributors, and Datadog staff. You'll get the latest product updates, learn how your fellow community members are using Datadog to build cultures of observability, and participate in open discussions and guided training sessions. In the hands-on training, we'll walk through best practices for building better dashboards and alerts, developing custom agent integrations, and monitoring and instrumenting your containerized applications.

Speakers

Matt Williams Datadog
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Kirk Kaiser Datadog
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Pierre Guceski Datadog
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Daniel Maher Datadog
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Alex Landau Rover
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Adam Savitzky Carta
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Meghan Jordan Datadog
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Ilan Rabinovitch Datadog
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Abby Fuller AWS
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Gabriel-James Safar Datadog
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Priyanshi Gupta Datadog
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Stephen Lechner Datadog
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Matt Williams

Technical Evangelist
Datadog

Workshop:
Intro to Datadog

Transform yourself from a monitoring novice to a Datadog expert with hands-on training led by the engineers who build, maintain, and support Datadog. We'll share best practices for building insightful dashboards and visualizations and tips for effective alerting and dive into container monitoring with Autodiscovery. Attendees will leave with hands-on experience using these techniques that they can bring home to their own environments for more effective monitoring.

Matt Williams is a Technical Evangelist on Datadog’s community team. 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.

Kirk Kaiser

Technical Evangelist
Datadog

Workshop:
Hands on with Distributed Tracing and Datadog APM

Tracing is a specialized form of logging that is designed to work effectively in large, distributed environments. When done right, tracing follows the path of a request across process and service boundaries. This provides a big step up in application observability and can help inform a developer why certain requests are slow, or why they might have behaved unexpectedly. This tutorial will familiarize users with the benefits of tracing and describe a general toolkit for emitting traces from applications in a minimally intrusive way. We will walk through a simple example app, which receives an HTTP request, and gradually instrument it to be observable via traces. We will discuss language constructs that can generate traces --namely decorators, monkey-patching and context managers -- and give users pointers on how they might add tracing to their own applications and libraries. In the process, users will become familiar with the existing standards for modeling traces, and some of the challenges involved in adhering to this model in a distributed, asynchronous environment.

Kirk Kaiser is a Developer Evangelist at Datadog, where he focuses on helping developers build more reliable, performant code with APM. Previously, he was the lead backend developer at Triller, scaling the app from zero to millions of users, and handling the traffic from being in the top 100 of iOS and Android stores at the same time. Kirk is also the author of a book teaching Python programming through art instead of print statements, called Make Art with Python.

Pierre Guceski

Technical Writer
Datadog

Workshop:
Reducing MTTR with Log Management

Gaining insights into application behavior by combining metrics, tracing, and logs can help you reduce mean time to detection and resolution of operational incidents, allowing you to address issues before your users notice service impact. With the help of hands-on labs, this workshop will take attendees from beginner to expert in log management with Datadog. Participants will walk through best practices for log collection and processing, and then dive into scenarios that will build experience with troubleshooting and monitoring techniques. Attendees will leave with hands-on experience with logging, plus strategies that will provide insights into application behavior and user experiences.

Pierre is a technical writer with the Datadog Community team. He began his career as a technical evangelist at Logmatic.io. Through documentation and outreach, he strives to ensure the highest level of communication and understanding between products and people.

Daniel Maher

Technical Evangelist
Datadog

Workshop:
Building a Datadog Integration

In this workshop, attendees will design, build, and deploy a functioning Datadog integration. The goals are to learn about the design principles, configuration elements, and tooling for integrations, as well as to facilitate and encourage community members to create their own projects.

Dan is a long-time system administrator—he first installed Linux on his PC in 1995 and never looked back. Today, Dan is a Technical Evangelist at Datadog, a role that allows him to satisfy his obsession with classifying and measuring things in general.

Alex Landau

Software Engineer
Rover

Alex Landau is passionate about creating scalable, robust software. He developed services for Amazon Marketplace which is used by millions of third-party sellers. He also worked on Amazon Search running load testing in preparation for Prime Day 2016. Prior to Amazon, Alex worked at Microsoft on the Application Insights team building an automated UI testing framework. He currently works at Rover where he drives platform performance, observability, and scaling efforts. Before graduating, Alex was a researcher at the University of Virginia where he worked with Wes Weimer's group on genetic algorithms to automatically find and fix bugs in code.

Adam Savitzky

Senior Software Engineer
Carta

Adam Savitzky is a tech lead and Senior Software Engineer on the Infrastructure team at Carta. He led the development and implementation of Flipper, Carta's feature flag tool and is focused on building foundational services and tools as Carta transitions to a service-oriented architecture. Prior to Carta he was Founder and CTO of Intrust. He has previously worked as a lead and team member at various tech organizations large and small including Driver, Yahoo, and MessageMe.

Meghan Jordan

Product Manager
Datadog

Meghan is a product manager focused on Datadog's alerting and reporting platform. When she's not working with customers or calculating uptime, she's walking her dog around Brooklyn and tending to a surprisingly thriving garden.

Ilan Rabinovitch

Vice President of Product
Datadog

Ilan Rabinovitch leads product and community teams at Datadog. Prior to joining Datadog, Ilan spent a number of years leading infrastructure and reliability engineering teams at organizations such as Ooyala and Edmunds.com.

Abby Fuller

Technical Evangelist
AWS

Abby works on the containers team at AWS. Prior to joining Amazon, she worked at a number of NYC startups, including Airtime and Hailo.

Gabriel-James Safar

Product Manager
Datadog

GJ is a product manager focused on synthetic monitoring at Datadog. Prior to joining Datadog he was CEO and co-founder of Madumbo, a Paris-based start-up which specialized in test automation. Prior to that, GJ worked as Data Scientist and consultant at several Fortune 500 companies.

Priyanshi Gupta

Product Manager
Datadog

Priyanshi is a product manager on the APM team where she focuses on monitoring your distributed traces. She's a Carnegie Mellon University alumnus with 3 years of experience as an application developer.

Stephen Lechner

Product Manager
Datadog

Stephen Lechner is a product manager on the Log Management team where he focuses on cold storage of logs. He joined Datadog over 3 years ago on the Solutions team, and is thrilled to have been a part of its product growth from one to many pillars of observability.

Location

Loews Hotel 1000,
1000 1st Ave,
Seattle, WA 98104

Schedule

8:30am
8:30am
Registration
9:30am
9:30am
Welcome
10:00am
10:00am
Presentations
11:15am
11:15am
Open Spaces
11:15am
Workshop: Intro to Datadog
11:15am
Workshop: Hands on with Distributed Tracing and Datadog APM
1:15pm
1:15pm
Lunch
2:30pm
2:30pm
Presentations
4:15pm
4:15pm
Open Spaces
4:15pm
Workshop: Building a Datadog Integration
4:15pm
Workshop: Reducing MTTR with Log Management
6:00pm
6:00pm
Reception

RSVP

By attending this event I acknowledge that I may be exposed to information which the Exhibitor, Datadog, Inc., considers confidential and wishes to limit the disclosure of. I hereby agree to keep such information confidential and to not disclose such information to any third parties. I further represent that I am not employed by a competitor of the Exhibitor and am not attending this Event with the intent to access and such confidential information or gain a competitive advantage for my employer. I hereby give permission to the Exhibitor to use my image, likeness, appearance, voice, and any written or spoken testimonials given by me in connection with the marketing and promotion of this Event and/or any Datadog products or Events.