It was great to see so many of you for the first time since DockerCon! We already have another meetup in the works with three amazing speakers from Fluentd, Docker, and Datadog! New Relic has graciously offered to host again! See you there!
6:00pm - Welcome/ F&B provided by Datadog, Treasure Data and New Relic
6:30pm - John Hammink of Treasure Data
Docker 1.6 added the Logging Driver to make it easy to stream container logs to third party logging middleware. As the creator of Fluentd, an open source data collector for unified logging infrastructure, we took this opportunity to write the Fluentd Logging Driver. Because Fluentd already has a thriving community of 300+ plugins, this means that Docker logs can be aggregated and stored in a wide array of backend systems. In this talk, we will give a brief overview of what Fluentd is and show how it can help you unify your logging infrastructure for Docker-based systems.
7:00pm - Michael Chiang of Docker: Docker Toolbox
Docker will be announcing the Docker Toolbox as part of the Docker 1.8 release. It is an installer for both Mac and Windows that gets developers up and running with different Docker products. It includes Docker client, Docker Machine, Docker Compose for Mac, and Docker Kitematic.
This session will provide a general overview of what the Docker Toolbox is, and provide a brief demo with an example project.
7:30pm - Matt Williams of Datadog: Monitoring Docker at Scale
If you have tried Docker but are unsure about how to monitor it at scale, you will benefit from this session. Like virtualization before, containerization (à la Docker) is increasing the elastic nature of cloud infrastructure by orders of magnitude. But maybe you still have questions. How many containers can you run on a given Amazon EC2 instance type? Which metric should you look at to measure contention? Datadog is a monitoring service for IT, operations, and development teams who write and run applications at scale. In this session, Datadog’s Evangelist will present the challenges and benefits of running containers at scale and how to monitor your infrastructure at this magnitude and complexity, using quantitative performance patterns.
8:00pm - Q&A/Social
About the Speakers
John Hammink (https://twitter.com/Rijksband) became chief evangelist for Treasure Data in the course of looking for an easy data analytics solution to support his work as a digital artist. Previously an engineer for F-Secure, Nokia, Mozilla, and early Skype, he's travelling the world, blogging, demoing and teaching what he's learning as he learns it.
Michael Chiang is a product manager at Docker. He helped create Kitematic, a tool for developers to visually manage Docker on the desktop, and is now continuing his work at Docker. Michael is based out of San Francisco. If you have any concerns, questions or feature requests, please feel free to ping him at [masked]
Matt Williams is the DevOps Evangelist at Datadog. 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 (https://twitter.com/technovangelist).
Datadog is a monitoring service for IT, Dev & Ops teams who write and run applications at scale, and want to turn the massive amounts of data produced by their apps, tools and services into a unified view of IT infrastructure. Datadog's capabilities are provided on a SaaS-based data analytics platform that enables multiple teams to work collaboratively on infrastructure issues. Offering 50+ turnkey integrations and a robust API, Datadog bridges together metrics & events from every component in the environment to to provide teams with graphing, correlation and data analytics. The product enables a single view across on-premise and cloud deployments. This holistic view of an enterprise’s IT is becoming more critical with the ever increasing amount of data and devices within organizations. Read more (http://www.datadoghq.com/)
About Treasure Data
Treasure Data provides analytics infrastructure simplified in the cloud. We empower data engineers, data analysts and data scientists by providing a platform to collect all event data into one place and ask questions at scale.
Also, we live and breathe open source at Treasure Data and try to contribute back our technology to the greater developer community. Fluentd is our flagship open source project, and we have also created Embulk and contribute to projects like Luigi, Hadoop, Presto and Ruby among others.
Read more (http://www.treasuredata.com/)
About New Relic
New Relic is a software analytics company that makes sense of billions of metrics about millions of applications in real time. Our comprehensive SaaS-based solution provides one powerful interface for web and native mobile applications and consolidates the performance monitoring data for any chosen technology in your environment. Our 50,000 customers use our cloud solution every day to optimize more than 118 billion metrics for 2 million applications. When your brand and customer experience depends on the performance of modern software, New Relic provides insight into your overall environment. Read More (http://www.newrelic.com/)
Docker is an open platform for developers and sysadmins to build, ship, and run distributed applications. Consisting of Docker Engine, a portable, lightweight runtime and packaging tool, and Docker Hub, a cloud service for sharing applications and automating workflows, Docker enables apps to be quickly assembled from components and eliminates the friction between development, QA, and production environments. Read more (http://www.docker.com/)