Welcome! Kubernauts join us for the Kubernetes Meetup #6!
Date: - Feb 24,[masked]:30 - 9:00 pm
Location: ShareThis office
30 min - mingle and get settled (6:30 pm)
10 min - Lightning Demo - Docker to Kubernetes Demo
Mackenzie Burnett from RedSpread will present deploying from docker to Kubernetes using Spread.
50 min - Sharethis presents (7:15 pm)
Topic: Kubernetes in Production At Scale: A Case Study at ShareThis
Part 1: Our Story With Kubernetes
Part 2: The Tools That Made It Happen (dkube clusterdkube dnsdkube deploy)
Part 3: Toward Continuous Deployment in Kubernetes
10 min - break (8:05)
30 min - DELL's experience with networking in Kubernetes (8:15)
Bhargav Bhikkaji is a Principal Engineer at DELL-Networking based out of Santa Clara. In this meetup, Bhargav will talk about a specific customer requirement while deploying Kubernetes cluster and how DELL OS helped to solve those challenges.
Douglas Campbell is a principal engineer at ShareThis who has worked deeply with getting Kubernetes into production. He deployed our first high traffic application into Kubernetes and has contributed considerably to the tooling. He has also worked at Chegg and Yahoo where he worked on big data personalizations
Juan Valencia is a technical lead at ShareThis and is responsible for the cloud platform and data teams. He began at ShareThis by making buttons look nice and quickly moved into managing their big data architecture. Prior to ShareThis he worked in social work, systems engineering, web development, and a few other odd ends.
Discovering information that is important and wanting to share it with others comes naturally to people and this natural propensity to share has turned the Internet into a source of engagement, personal expression, and human connection. We found that identifying human sentiments leads to a better understanding of people, which can ultimately lead to a more personal and relevant digital experience.
We process about a billion events per day. Our consumer engagement and sharing tools are used by 4.7 million domains, allowing authentic collection of the wide variety of interests of the global Internet. Collecting and quickly processing these continuously focused and refocused sentiments as data enables us to distill human affinities across all digital properties.
Real time processing is at the core of our products because it has the greatest potential to provide most value to publishers, advertisers, or any data-driven business.
We use Kafka to process our billion events per day; Docker to power our containerized infrastructure; Meteor to allow us to prototype quickly; Cassandra to power real time analytics; Google BigQuery to query billions of events in seconds; Kubernetes on Amazon AWS to automate our infrastructure.