Track Overview
The Cloud Operating Model
Whether cloud-native, hybrid, or considering a move, successfully running web-scale workloads on the cloud requires the application of well-tested operational strategies to maximize success. As with any large infrastructure footprint, you must balance the often competing demands of:
- Security, Compliance, and Recoverability
- Availability and Performance (QoS)
- Developer Productivity / Rate of Innovation
- Infrastructure Efficiency / Spend
If leveraged effectively cloud capabilities provide significant benefit vs. a compromise for a majority of the above categories. Although running large workloads on-prem vs a public cloud have similar underlying fundamentals, the cloud poses unique challenges which must be addressed. Come hear from web-scale cloud infrastructure practitioners on a variety of possible topics to help accelerate your own journey on the cloud and avoid key pitfalls along the way.
From this 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
Panel: Kubernetes at Web Scale on the Cloud
Wednesday Nov 3 / 02:10PM EDT
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...
Harry Zhang
Tech Lead of the Cloud Runtime Team @Pinterest
Ramya Krishnan
Staff Site Reliability Engineer @Airbnb
Ashley Kasim
Tech Lead of the Compute team @Lyft
Speakers from this track
Tejas Chopra
Senior Software Engineer Data Storage Platform team @Netflix
Tejas Chopra is a Senior Software Engineer, working in the Data Storage Platform team at Netflix, where he is responsible for architecting storage solutions to support Netflix Studios and Netflix Streaming Platform. Prior to Netflix, Tejas was working on designing and implementing the storage...
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Molly Junck
Technical Program Manager & Infra Governance and Cloud Vendor Management @Pinterest
Molly Junck is a Technical Program Manager, leading the Infrastructure Governance Program at Pinterest. Molly is responsible for supporting Pinterest’s capacity management, cloud infrastructure cost and usage data, as well as managing the relationship with Pinterest’s cloud provider....
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Jason Maude
Lead Engineer @StarlingBank
Jason Maude is a coder, coach, debater, and public speaker. He has over a decade of experience working in the financial sector, primarily in creating and delivering software. He is passionate about creating teams and explaining complex technical concepts to those who are convinced that they...
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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...
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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...
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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 &...
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Track Host
Coburn Watson
Head of Infrastructure, Systems Reliability Engineering @Pinterest
Coburn is the Head of Infrastructure and Systems Reliability Engineering at Pinterest. Prior roles include leading Azure SRE – Americas at Microsoft and Director of Performance, Reliability, and Cloud Infrastructure at Netflix. His primary focus has been on web-scale system...
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