PANEL DISCUSSION + Live Q&A
Panel: Kubernetes at Web Scale on the Cloud
Although many architectural and design similarities exist between large scale Kubernetes footprints whether on-prem or in the cloud, there are also key differences. Gaining insight on these will help ensure your k8s scaling exercise in the cloud can be accelerated through application of best practices and avoidance of key roadblocks.
Our expert panel will explore what they have learned scaling their own workload in the public cloud. Likely topics include capacity and workload management, security integration, and homegrown PaaS integration.
Speaker
Harry Zhang
Tech Lead of the Cloud Runtime Team @Pinterest
Harry Zhang is Tech Lead of the Cloud Runtime team at Pinterest. He leads the team to build a compute platform leveraging Kubernetes to serve a variety of workloads across Pinterest, and solves container orchestration, resource management, scheduling, and infrastructure management and automation...
Read moreSpeaker
Ramya Krishnan
Staff Site Reliability Engineer @Airbnb
Ramya Krishnan is Staff Site Reliability Engineer at Airbnb. She has 15 years of experience working on Unix based systems, integrating services and improving reliability by undertaking large migrations. Last four years, she has been helping Airbnb with kubernetes adoption, scheduling, debugging...
Read moreFind Ramya Krishnan at:
Speaker
Ashley Kasim
Tech Lead of the Compute team @Lyft
Ashley Kasim is the Tech Lead of the Compute team at Lyft. She led Lyft recently through the transition from legacy infrastructure to running 100% on Kubernetes and is now focused on iterating on and scaling out the platform to support the variety of use cases at Lyft, such as stateful &...
Read moreDate
Wednesday Nov 3 / 02:10PM EDT (40 minutes)
Track
Topics
Cloud ComputingDevopsKubernetesInfrastructureAdd to Calendar
Add to calendarShare
From the same track
Netflix Drive: Building a Cloud Native Filesystem for Media Assets
Wednesday Nov 3 / 11:10AM EDT
Netflix Studios produces hundreds to thousands of movies, shows, trailers, and other forms of media content each year which amount to hundreds of petabytes of storage and billions of media assets. These assets are created, edited, managed, encoded, and rendered by artists working on a multitude...
Tejas Chopra
Senior Software Engineer Data Storage Platform team @Netflix
Optimizing Efficiency & Capacity Management at Web Scale on the Cloud
Wednesday Nov 3 / 12:10PM EDT
Managing capacity demands while maintaining efficiency for a web-scale workload running on a public cloud is a challenging task. In this talk, Molly will share insight on how Pinterest optimizes their use of the cloud, concurrently maintaining demands across key domains of security, availability,...
Molly Junck
Technical Program Manager & Infra Governance and Cloud Vendor Management @Pinterest
K8s: Rampant Pragmatism in the Cloud at Starling Bank
Wednesday Nov 3 / 01:10PM EDT
Starling Bank’s back end is made up of 40 - 50 individual services. These were all being deployed to the cloud as a monolith, an approach that was slowing us down. We migrated our delivery pipelines to deliver these services in six separate groups, and are now starting to use Kube. But why...
Jason Maude
Lead Engineer @StarlingBank