Datadog Summit Berlin - Fall 2019 | Datadog

September 17, 2019
Berlin, Germany

We invite you to join us for Datadog Summit Berlin on September 17, 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

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Jason Yee Datadog
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Matt Williams Datadog
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Kirk Kaiser Datadog
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Meghan Jordan Datadog
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Pierre Guceski Datadog
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Frank Schlesinger orderbird AG
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Pavel Kruhlei New10 (ABN AMRO)
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Kirill Kolyaskin New10 (ABN AMRO)
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Edd Payne Delivery Hero
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Christos Skevis Delivery Hero
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Stanislav Komanec Kiwi.com
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Yury Petrov Google
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Stephen Pinkerton Datadog
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Jason Yee

Datadog

Jason is a Senior Technical Evangelist at Datadog. Previously, he was the community manager for DevOps & Performance at O’Reilly Media and a software engineer at MongoDB. Outside of work, he likes to spend his time collecting frequent flier miles, interesting whiskey, and pokemon.

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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.

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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.

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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.

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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.

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Frank Schlesinger

CTO
orderbird AG

Having studied Physics and Computer Science Frank was educated to be empirical and data-driven.

As a software developer in the financial industry he explored how test automation metrics and statical code analysis can help improve software quality.

At ImmobilienScout24 being an AgileCoach he was measuring, visualizing and improving a team's flow and as Head of Technology in the same company went on aligning tech and product creating and managing well defined business plans.

Since 2017 Frank is CTO of Europes Cloud POS leader 'orderbird'. He started right away to collect, analyse and visualize operational metrics. This helped him and his team at orderbird to educate themselves about the inner mechanics of their grown legacy backend system and push their operational excellence to 99.99%+ 2018 backend availability. As member of orderbird's executive management team Frank steered the company towards better understanding of data in generel and data-driven goal processes like OKRs in particular.

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Pavel Kruhlei

Quality Engineering Lead
New10 (ABN AMRO)

Pavel is a Quality Engineering Lead at New10 (ABN AMRO), with 12 years of experience in different fields from small mobile apps startup to enterprises like Booking.com. He's passionate about Dev/Test/Sec-OPS. In his free time he likes to: climb walls, drinks beer, and talk about open-source (sometimes while climbing walls or drinking beer).

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Kirill Kolyaskin

Lead Cloud Engineer
New10 (ABN AMRO)

Kirill is the Lead Cloud Engineer ar New10 (ABN AMRO). He's a DevOps advocate and Serverless enthusiast with a background in architecture and Linux SysOps. A true believer in the CloudNative approach, he's also and conference junkie. 'I want to visit every single country in the World before I die.'

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Edd Payne

DevOps Team Lead
Delivery Hero

From a start of programming in BASIC on an Atari 800, Edd's career has taken him from London to Berlin via Barcelona - from running a Windows NT 4 domain on Samba, through running physical servers hosting e-commerce sites and tentative first steps with server configuration management using Puppet, to managing Kubernetes clusters using Terraform, leading teams managing food delivery platforms serving hundreds of thousands of customers a day, and becoming an evangelist for automation and simplifying processes where possible along the way.

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Christos Skevis

Delivery Hero

Christos Skevis started his career as a Web and Mobile developer in 2009, when those terms meant Java and JSP. In 2012 he pivoted to Systems Administration, after discovering that setting up a server was more enjoyable than writing software for them. Since then he has followed the trends of the era, from physical servers, containerization, container orchestration, cloud providers, and now kubernetes. Even though technologies always progress, there is a part that remains the same, which is planning for scalability, monitoring, and logging needs. We will be presenting how Delivery Hero is tackling this subject with the use of load testing tools and Datadog.

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Stanislav Komanec

VP of Platform Engineering
Kiwi.com

Stano is Kiwi.com’s VP of Platform Engineering. He manages a team that works as an interface between Kiwi.com’s business logic applications and the 3rd party providers of hardware and tools, as well as open-source libraries.

He joined the team as a backend developer in 2015. Since then, Stano has worked on many key projects. To make the best use of his experience and lessons learnt, he established Kiwi.com’s platform team.

When he’s not making sure the engineers have all the tools they need to do their jobs well, Stano enjoys whiskey tasting, business, and solving real-world technological problems.

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Yury Petrov

Sr SRE
Google

Yury is a Sr SRE, working at Google since 2016. Today he keeps the internal and Cloud Platform alerting systems reliable. His previous job at Google was to maintain the Developer Infrastructure.

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Stephen Pinkerton

Product Manager
Datadog

Stephen Pinkerton is a Product Manager at Datadog. He works on building easy-to-use monitoring tools to empower serverless development teams. Outside of work, catch him traveling or backseat-baking to the Great British Baking Show.

Schedule

8:30am
8:30am
Registration
9:30am
9:30am
Welcome
10:00am
10:00am
Presentations
orderbird AG — How metrics, tagging, and structure supported our transition toward OKRs
New10 — Compliance at Speed: observability and developer efficiency at a regulated fintech startup
1:15pm
1:15pm
Lunch
2:30pm
2:30pm
Presentations
Kiwi.com — Our journey to automated infrastructure
Delivery Hero — Evolution of load testing: why we decided to create our own load testing platform
6:00pm
6:00pm
Reception

RSVP

Workshop: Intro to Datadog (Part 1)

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

Workshop: Intro to Datadog (Part 2)

Transform yourself from a monitoring novice to a Datadog expert with this two-part hands-on training led by the engineers who build, maintain, and support Datadog. Building on the first section, we will use the tools we know so far to troubleshoot a problem. Then we will fill in the gaps by looking at APM, Logs, and synthetics and use everything to solve a new problem. Attendees will leave with hands-on experience using everything in Datadog to solve real problems that they can bring home.

Workshop: Hands on with Chaos Engineering

As applications become more distributed and complex, so do our failure modes. In this workshop, you’ll learn how to embrace failure and learn the most from it. We’ll start with a look at how Datadog runs chaos experiments and game days—including who’s involved, how we plan, and the tests we run. Then we’ll get hands on with some interactive chaos experiments..

Workshop: Modern Observability in Practice with Distributed Tracing

In this hands on workshop, we'll instrument and fix a broken microservices web application using Datadog APM and distributed tracing. With the application now working as expected, we'll pinpoint a performance degradation and deploy updates that ensure it's running optimally.

We’ll see how observability gives us immediate, actionable insight into problems with our distributed software systems regardless of our deployment methodology, language, or infrastructure decisions.

Combined with metrics, logs, and synthetics, our traces will allow us to rapidly identify issues, deploy changes, and verify results in heterogeneous environments with confidence.

We'll see how traces form the 'missing link' in getting the most out of your production software.

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.

Workshop: Ensuring Reliability with SLOs

Uptime is a poor measure of reliability. Agile development’s fail-fast approach coupled with distributed applications and dynamic infrastructure requires us to have a better understanding of reliability.

Service level objectives (SLOs) help you understand the true health of your systems and how your end users experience them. Poorly defined SLOs means you have little to no visibility into the successes and failures of those apps and their services. In this workshop you’ll learn how to define SLOs and monitor the right service level indicators to ensure reliability. Armed with this information, we'll introduce chaos into a sample application and learn how to respond effectively using error budgets.

Location

Haus Ungarn
Eingang neben TITUS, Karl-Liebknecht-Straße 9, 10997
Berlin, Germany

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.