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October 24, 2022 | Detroit, Michigan
View More Details & Registration Information
 

The Sched app allows you to build your schedule but is not a substitute for your event registration. You must be registered for KubeCon + CloudNativeCon North America 2022 - Detroit, MI + Virtual and add this Co-Located event to your registration to participate in these sessions. If you have not registered but would like to join us, please go to the event registration page to purchase a registration.

Please note: This schedule is automatically displayed in Eastern Daylight Time (EDT), UTC -4. To see the schedule in your preferred timezone, please select from the drop-down menu to the right, above "Filter by Date."

The schedule is subject to change.

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Monday, October 24
 

7:30am EDT

7:30am EDT

Badge Pick-Up + Vaccine or Negative COVID-19 Test Verification
There are two locations at Huntington Place where you can go through Health + Safety to show proof of vaccination or negative COVID-19 test and pick up your badge:
  • Corner entrance on the cityside @ the corner of W Congress St. and Washington Blvd.
  • Riverside entrance @ Atwater St. (along the Riverwalk)

Monday October 24, 2022 7:30am - 6:00pm EDT
Huntington Place Detroit

7:30am EDT

7:30am EDT

On-site COVID-19 Test Kit Pick-Up
CNCF will provide free eMed testing kits on-site from Sunday, October 23 – Friday, October 28 for those that need to provide a negative COVID-19 test prior to entering the event. There will not be space to take the test where you pick it up, so please plan to test in an alternate location (i.e, your hotel room) with reliable internet. You must test within 1-day of picking up your KubeCon + CloudNativeCon North America name badge. 

In addition, antigen COVID-19 tests will be available for any attendee that would like to test throughout the week.

eMed Test Kit Pickup Location
  • Fort Pontchartrain Wyndham Hotel | Lobby Level, Pontchartrain Room, located directly across the street from Huntington Place.
  • Tests will not be available at Huntington Place Convention Center
eMed Test Kit 
  • The eMed test kit includes (1) BinaxNow COVID-19 antigen test 
  • The test is administered by a virtual proctor via the eMed app

Prepare for Your Test in Advance
1. Create an eMed Account or Use an Existing eMed Account https://core.emed.com/procedure/begin?client_id=dsA1oAynCVLjz7o2S239g&scope=emed-binaxnow
*Save time on-site and complete this step ahead of time.
2. Give yourself plenty of time to pick up and take the test. From start to finish, the testing process takes 20-30 minutes.
3. A step by step process to take the virtually proctored eMed test will be provided when you pick up your test on-site. 
4. Once you’ve taken the test you will receive digital results (shared via email and in the eMed app) to share upon entry to KubeCon + CloudNativeCon North America. 
5. The following data will be shared with the Linux Foundation: date of birth, name, email address, testing result. Your information will be kept confidential. If you do not want to share this data with the Linux Foundation, please unselect this box in the eMed app.

Monday October 24, 2022 7:30am - 6:00pm EDT
Fort Pontchartrain Hotel | Lobby Level, Pontchertrain Room

9:00am EDT

Welcome + Opening Remarks - Ricardo Rocha, CERN
Monday October 24, 2022 9:00am - 9:10am EDT
Room 252 AB
  Opening/Closing Remarks

9:15am EDT

Keynote: Fair Share - What Shared Responsibility Means for Managed Kubernetes Clusters - Mickey Boxell, Principal Product Manager, Oracle
Managed Kubernetes offerings provide users with a simple way to automatically deploy, scale, and manage Kubernetes - generally everything you need to quickly deploy a production ready Kubernetes cluster. However, as a cluster operator, you are responsible for more than simply deploying containerized business logic. When you adopt a product with a managed life cycle you need to know what exactly to plan for: more specifically, where does your responsibility end and where does the provider’s responsibility start? When new Kubernetes versions are released, is it your responsibility as an operator to update your control plane? How about your worker nodes? The nature of Kubernetes as a tool with a control plane and a data plane further complicates things. For example, users generally are not responsible for managing and operating control plane components including kube-apiserver, kube-controller-manager, kube-scheduler, or etcd, but worker nodes generally exist in user tenancies and because nodes execute private code and store sensitive data providers’ access is limited. This talk will explain the support boundaries and shared responsibility of a managed Kubernetes service through the eyes of a cloud provider. It will advise users where to look for information about the parts of their system in need of care and feeding and those that can be comfortably trusted to a knowledgeable provider.

Speakers
avatar for Mickey Boxell

Mickey Boxell

Principal Product Manager, Oracle
Mickey Boxell is a Product Manager for the Oracle Container Engine for Kubernetes (OKE) service. Prior to working in product management, Mickey was a developer advocate who attended meet ups and conferences to speak to and learn from the cloud native community. He is the proud father... Read More →



Monday October 24, 2022 9:15am - 9:20am EDT
Room 252 AB
  Keynotes

9:25am EDT

Propagating Programming Paradigms: Lifting High Performance Compute Into K8s - Marlow Weston , Intel
Users don’t care where items run, just IF they run and how long they need to wait for completion. We should be building systems where ONLY the hardware, network, storage, and security engineers worry about how to maximally leverage underlying hardware for performance. Increasingly popular AI/ML and traditional HPC workloads have many similarities. It is historically difficult for the users to deploy their workloads in HPC environments. Kubernetes, meanwhile, has focused on simplifying the cognitive load for the users at a cost to both performance and sustainability. We show how to lift paradigms from HPC to make more performant Kubernetes clusters. We give a history of where HPC has come up short in abstracting hardware away from the user. We highlight current Kubernetes projects that do aid in performance in a cloud-native fashion and will go over continuing gaps. We will show how to improve Kubernetes to optimize both performance and sustainability without added pain to the user.

Speakers
avatar for Marlow Weston

Marlow Weston

Cloud Software Architect, Intel
Marlow Weston is a Cloud Software Architect at Intel working on resource management with a focus on performance and sustainability. Previously, she has worked in a variety of areas including MLOps, high performance computing tools, security, embedded systems, kernel drivers, tracing... Read More →



Monday October 24, 2022 9:25am - 9:55am EDT
Room 252 AB

9:55am EDT

☕Coffee Break + Networking
Monday October 24, 2022 9:55am - 10:10am EDT
2nd Floor Foyer

10:10am EDT

Coordinate Workloads Colocation: QoS-Oriented Scheduling Enhancement on K8s - Zuowei Zhang & Tao Li, Alibaba Cloud
Kubernetes provides well-defined QoS Classes on pod as guaranteed, burstable, and best-effort. Users can colocate different QoS workloads to achieve resource overcommitment and improve cluster utilization. However, with scale increasing and workloads diversified, some limitations are becoming more: · Lower QoS will be easily throttled or killed once node runs out of resources · The noisy neighbor problem effects the performance of latency-sensitive application · Local hot spots affect the global We implements Koordinator based on Kubernetes with several add-ons to provide QoS-oriented scheduling enhancements: · Definition of sub-QoS classes for complex workloads in co-location scenarios and compatible with the Kubernetes existing QoS semantics · Using dynamic metrics of nodes and pod to provide a more reliable model for resource overcommitment, including resource usage profile and micro metrics such as CPU scheduling, memory allocate latency · Applying fine-grained resource orchestration and isolation mechanism on node to solve the noisy neighbor problem and improve the efficiency of latency-sensitive workloads and batch jobs

Speakers
avatar for Zuowei Zhang

Zuowei Zhang

Senior Engineer, Alibaba Cloud
Zuowei Zhang, senior engineer of Alibaba Cloud. He works in container service team, focusing on resource management in warehouse-scale computers by Kubenetes. Also, he has years of developing experience on distrubted system.
avatar for Tao Li

Tao Li

Senior Engineer, Alibaba Cloud
Tao Li, senior engineer of Alibaba Cloud. He works in container service team, focusing on cost optimization and ensuring runtime quality through scheduling in warehouse-scale, with years of developing experience in K8s scheduling.



Monday October 24, 2022 10:10am - 10:40am EDT
Room 252 AB

10:45am EDT

Hybrid Cloud Bursting Electronic Design Analysis Optical Proximity Correction (OPC) Flows to Public Cloud Managed Kubernetes Services - Derren Dunn, IBM & Gaurav Singh, Red Hat
Everyone is aware of the adage, “time is money”. No industry is more aware of this than the semiconductor industry in which time to market delays can cost billions of dollars. To do anything in this business, one must do 3 things: 1) design chips, 2) transfer design shapes to a photolithography mask, and 3) fabricate designs. In this talk, we will explore the transfer of design shapes to masks using OPC. OPC is an embarrassingly parallel high performance computing workload that is typically run on Linux clusters. Historically, semiconductor manufacturers have finite on-prem compute resources. To address compute limitations, we discuss methods to enable OPC hybrid cloud bursting using managed Kubernetes services. We present scaling OPC workloads from 1,000 pods to 10,000+ pods using managed Kubernetes services. Also, we explore benefits of using managed Kubernetes services in terms of performance, set-up, and the use of autoscalers to control costs at the job level.

Speakers
DD

Derren Dunn

Computational Patterning Team Lead, IBM
Derren Dunn is currently Computational Patterning Team Lead at IBM’s Albany Nanotechnology Laboratory where he leads a team of engineers responsible for migrating Electronic Design Automation workflows to public clouds. These workflows are focused on advanced resolution enhancement... Read More →
GS

Gaurav Singh

Product Manager, Red Hat
Gaurav Singh is Product manager in RedHat Openshift . He is responsible for core openshift components like scheduler, kubelet and pod autoscaling . Prior to Red Hat . Gaurav Singh has worked as product manager for Siemens, Hitachi Vantara and Dell.



Monday October 24, 2022 10:45am - 11:15am EDT
Room 252 AB

11:20am EDT

⚡ Lightning Talk: Fluence: Approaching a Converged Computing Environment - Daniel Milroy, Lawrence Livermore National Laboratory & Claudia Misale, IBM T.J. Watson Research Center
Adoption of cloud technologies by high performance computing (HPC) is accelerating, and HPC users want their applications to perform well everywhere. While container orchestration provides resiliency, elasticity, and declarative management, it is not designed to enable app performance like HPC schedulers. In particular, Kube-scheduler is not suited to scheduling emerging HPC workflows that require pods placed advantageously. In response to interest in scheduling flexibility, the K8s community developed the Scheduling Framework to integrate new policies and schedulers. KubeFlux, a Scheduling Framework plugin based on the Fluxion open-source HPC scheduler, provides HPC scheduling capability in K8s. We detail our improvements to the MPI Operator and demonstrate its scalability to 16,384 ranks. With the improved operator we compare the performance of HPC benchmark apps scheduled by Kube-scheduler and KubeFlux. We conclude that KubeFlux makes pod placements that enable much higher app performance than Kube-scheduler. KubeFlux is an example of the rich capability that can be added to K8s and paves the way to converged computing environments with the best capabilities of HPC and cloud.

Speakers
avatar for Daniel Milroy

Daniel Milroy

Computer Scientist, Lawrence Livermore National Laboratory
Daniel Milroy is a Computer Scientist at the Center for Applied Scientific Computing at the Lawrence Livermore National Laboratory. His research focuses on graph-based scheduling and resource representation and management for high performance computing (HPC) and cloud converged environments... Read More →
avatar for Claudia Misale

Claudia Misale

Staff Research Scientist, IBM T.J. Watson Research Center
Claudia Misale is a Staff Research Scientist in the Hybrid Cloud Infrastructure Software group at IBM T.J. Watson Research Center (NY). Her research is focused on Kubernetes for IBM Public Cloud, and also targets porting HPC applications to the cloud by enabling batch scheduling alternatives... Read More →



Monday October 24, 2022 11:20am - 11:30am EDT
Room 252 AB

11:35am EDT

⚡ Lightning Talk: Evolving the Job API to Become Defacto Standard for Batch Workloads - Aldo Culquicondor, Google
Since Kubernetes 1.0 until recently, the Kubernetes Job API had a rather limited feature set. Meanwhile, multiple batch-oriented frameworks were developed, each re-implementing their own job API and controller to manage pods, with their own advantages and limitations, leading to fragmentation of the ecosystem. Starting in Kubernetes 1.21, contributors to SIG Apps decided to evolve the Job API, implement common patterns and increase its scalability, so that it can become the defacto standard for running batch workloads or for building specialized frameworks on top of. They introduced features such as indexed Jobs, suspended jobs, tracking with finalizers, failure policies, etc. In this talk, Aldo will walk you through all these efforts, the challenges that we faced when implementing them and the remaining opportunities we have identified to make the API more comprehensive and useful for a wider range of applications.

Speakers
avatar for Aldo Culquicondor

Aldo Culquicondor

Senior Software Engineer, Google
Aldo is a Senior Software Engineer at Google. He works on Kubernetes and Google Kubernetes Engine, where he contributes to kube-scheduler, the Job API and other features to support batch workloads. He is currently a TL at SIG Scheduling and a member of WG Batch. He is also a maintainer... Read More →



Monday October 24, 2022 11:35am - 11:45am EDT
Room 252 AB

11:45am EDT

🍲Lunch + Networking
Monday October 24, 2022 11:45am - 12:55pm EDT
Hall E

12:55pm EDT

⚡ Lightning Talk: CNCF Batch Working Group Update - Alex Scammon, G-Research
This talk will present an update from the CNCF Batch System Initiative Working Group, a newly-created group set up to discuss batch scheduling conversation at the end-user level. It will focus on how the users and operators of today’s batch workloads currently interact with the many various cloud-native batch-related projects like Volcano, Armada, MCAD, Yunikorn, Slurm, HTCondor, etc.. Ideally, the hope is to provide some rough guidance and information for the CNCF community on these higher-level batch scheduling approaches since the landscape remains fairly opaque.

This presentation will discuss what the working group has worked on so far, what it's hoping to achieve, and (crucially!) how this working group is different (but closely related!) to the Kubernetes Batch working group.

Speakers
avatar for Alex Scammon

Alex Scammon

Head of Open Source Development, G-Research
Currently, I'm leading a large and intrepid band of open-source engineers engaged in a number of philanthropic upstream contributions on behalf of G-Research. All of our work centers around open-source data science and machine learning tools and the MLOps and HPC infrastructure to... Read More →



Monday October 24, 2022 12:55pm - 1:05pm EDT
Room 252 AB

1:10pm EDT

⚡ Lightning Talk: Dancing with Cores: A Path For Fine-Grained Core Positioning within Kubernetes - Marlow Weston, Intel
Imagine if we could take previously known and new optimizations of CPUs allocation for HPC and had them available in the Kubernetes environment? The current algorithms within the Kubelet are specific, hard to configure, and limited. For instance, if you choose guaranteed QoS with Single NUMA policy for your pod, all underlying cores become statically pinned within stock Kubernetes. You cannot mix guaranteed QoS and best-effort/burstable QoS for a given NUMA zone which can lead to performance loss. Our pluggable control plane mechanism allows quick implementation of new algorithms for cores affinity within specific jobs. Fortunately, we an easy-to-deploy, solution. This talk will introduce our open-source CPU Control Plane and discuss how it can handle AI/ML/HPC and microservices workloads. It can statically pin some cores and allow others to float. It can link with affinity to namespaces for performance tweaking. It also adds new low-latency auto tunable power capabilities.

Speakers
avatar for Marlow Weston

Marlow Weston

Cloud Software Architect, Intel
Marlow Weston is a Cloud Software Architect at Intel working on resource management with a focus on performance and sustainability. Previously, she has worked in a variety of areas including MLOps, high performance computing tools, security, embedded systems, kernel drivers, tracing... Read More →



Monday October 24, 2022 1:10pm - 1:20pm EDT
Room 252 AB

1:25pm EDT

Make Kubernetes Networking Ready for World Class AI and HPC Workloads - Sunyanan Choochotkaew, IBM & Gaurav Singh, Red Hat
While use of Kubernetes for various services is growing rapidly, it is still behind in the world of HPC and AI clusters. Part of the reason is that the lack of support for advanced features like multiple 100G networks available in HPC/AI Systems. Vast majority of AI systems in hyperscalers such as IBM Cloud, AWS, Azure, and Oracle Cloud come with two to 8 100G network interfaces on the A100 GPU nodes. However, by default in Kubernetes, a pod has only one network interface, but attaching multiple interfaces is often a requirement in the scenarios. Multus unlocks the potential of multi-networking feature in Kubernetes, but there are still challenges in usability, manageability, and scalability. We present Multi-NIC CNI, a new open-source project, to democratize multiple interfaces capability for everyone. This CNI saves users from the concerns regarding environment heterogeneity and acquiring CNI specific knowledge. This talk will introduce the architecture, use cases, and performance of the CNI, then show how beneficial it is for HPC/AI. We will demonstrate the CNI on a large scale GPU Cluster consisting of over 1400 GPUs and two 100G network interfaces that we build in IBM Cloud.

Speakers
avatar for Sunyanan Choochotkaew

Sunyanan Choochotkaew

Research Scientist, IBM
Sunyanan Choochotkaew is a research scientist at IBM Research - Tokyo, specializing in research on distributed computing and performance acceleration on Cloud platforms. She received her Ph.D. in information and computer sciences from Osaka University, Japan. She served as a program... Read More →
GS

Gaurav Singh

Product Manager, Red Hat
Gaurav Singh is Product manager in RedHat Openshift . He is responsible for core openshift components like scheduler, kubelet and pod autoscaling . Prior to Red Hat . Gaurav Singh has worked as product manager for Siemens, Hitachi Vantara and Dell.



Monday October 24, 2022 1:25pm - 1:55pm EDT
Room 252 AB

2:00pm EDT

Building Armada – Running Batch Jobs at Massive Scale on Kubernetes - Jamie Poole, G-Research
Thousands of GPUs. Hundreds of thousands of CPUs. Learn how (and why!) G-Research designed and built Armada - a system to enable massive throughput of batch jobs running on Kubernetes. In this session you’ll hear how we use large scale batch compute on Kubernetes to spot patterns in financial markets and predict the future. Armada enables us to schedule millions of batch jobs across many clusters and tens of thousands of nodes, getting optimum utilisation of our hardware to enable our researchers to run the latest machine-learning and advanced data science techniques across vast datasets. We’ll cover the architecture and approach of Armada, challenges and techniques for running Kubernetes at scale and some war stories and lessons learned along the way.

Speakers
avatar for Jamie Poole

Jamie Poole

Compute Platform Engineering Manager, G-Research
Jamie Poole is the manager of the Compute Platform Engineering group at G-Research. He has an academic background in mathematics and physics, and professional background in software development and platforms in the government, defence and financial sectors. He is very enthusiastic... Read More →



Monday October 24, 2022 2:00pm - 2:30pm EDT
Room 252 AB

2:30pm EDT

☕Coffee Break + Networking
Monday October 24, 2022 2:30pm - 2:50pm EDT
2nd Floor Foyer

2:50pm EDT

Managed Kubernetes — Next Gen Academic Infrastructure? - Viktória Spišaková & Lukáš Hejtmánek, Masaryk University
Academic institutions run their own e-infrastructure comprising HPC systems with batch scheduling, cloud infrastructure that allows users to run VMs, and in the last few years, a container infrastructure to run containers. Frequently utilized softwares across all environments are various interactive applications. However, they are not suitable for running in HPC or cloud (as VM), since setting them up requires infrastructural technical knowledge which poses unnecessary load on users. In the Czech NREN, we identified opportunities, situations, use cases where we leveraged K8s for academic use. We decided to offer managed K8s infrastructure for research where users focus solely on their application (container image). Integration with the rest of the infrastructures is DevOps team task. We come to present the progress we have made in this field since the first version of our infrastructure during KCNA 2021. We discuss what a managed K8s infrastructure can offer, e.g. traditional Jupyter notebooks, RStudio servers, but also true 3D game streaming, personalised storage, and much more. Lastly, we open a discussion on the challenges we had to face and issues that are yet to be solved.

Speakers
avatar for Viktória Spišaková

Viktória Spišaková

IT specialist, Masaryk University
I am 22 y.o. female IT specialist in the area of container cloud computing, HPC integration with nearly 4 years experience as Linux admin and DevOps. Currently, I pursue PhD degree at Masaryk University where I research container-based solutions for problems of academic infrastructures... Read More →
avatar for Lukáš Hejtmánek

Lukáš Hejtmánek

IT architect, Masaryk University
Lukas Hejtmanek received his Ph.D. degree in Computer Science from the Masaryk University, Brno, Czech Republic. He works as IT architect at Masaryk University in CERIT-SC project and is also storage specialist in at CESNET. His main IT interest is to improve architecture of HPC systems... Read More →



Monday October 24, 2022 2:50pm - 3:20pm EDT
Room 252 AB

3:25pm EDT

Beyond Experimental: Spark on Kubernetes - Weiwei Yang, Apple
Apache Spark on Kubernetes takes advantage of containers and the large, rapidly growing Kubernetes ecosystem to maximize the data processing capability on the cloud. However, running a large-scale production environment is not an effortless combination. Challenges at scale, dev-ops complexity, multi-cluster management, job scheduling, and autoscaling are all roadblocks that could quickly fail the mission. In this session, Bowen Li and Weiwei Yang will share their insights on leveraging open source technology such as Apache YuniKorn, Spark K8s operator, and Cloud primitives to evolve ML data infrastructure in the cloud, including considerations for multi-tenancy, observability, scalability, and cost-effectiveness.

Speakers
avatar for Weiwei Yang

Weiwei Yang

Staff Software Engineer, AIML Data Infra, Apple
Weiwei Yang is a staff engineer at Apple AIML Data Infra, his work is to build the data infra for batch processing and AI/ML workloads. He is the V.P of Apache YuniKorn, committer, and PMC member of Apache Hadoop, he had lots of experience in optimizing the data infra for big data... Read More →



Monday October 24, 2022 3:25pm - 3:55pm EDT
Room 252 AB

4:00pm EDT

Panel Discussion: Fragmentation of the Batch Ecosystem in Kubernetes, Challenges and Solutions - Moderated by Abdullah Gharaibeh, Google; Diana J. Arroyo, IBM; Wilfred Spiegelenburg, Cloudera; Daniel Milroy, Lawrence Livermore National Laboratory; Albin S
Kubernetes historically focused on service-type workloads, support for load balancing, rolling-updates, spreading and autoscaling are few examples of features the community built for service workloads. While support for Batch workloads lagged in Kubernetes core, recent progress has been made to make Kubernetes a native home for batch workloads including major feature and scalability enhancements to the Job API and the establishments of the batch working group. This panel will discuss what is still missing in core k8s for batch support, what functionalities do we need to push upstream, and what should continue to be loosely defined so that we don't impose specific semantics on how batch jobs should run on k8s.

Speakers
avatar for Abdullah Gharaibeh

Abdullah Gharaibeh

Staff Software Engineer, Google
Abdullah is a staff software engineer at Google and sig-scheduling co-chair. He works on Kubernetes and Google Kubernetes Engine, focusing on scheduling and batch workloads.
avatar for Wilfred Spiegelenburg

Wilfred Spiegelenburg

Principal Software Engineer, Cloudera
Wilfred is a Principal Software Engineer from Cloudera in Australia. He has worked as a software engineer for more than 25 years, working on a wide range of projects. Projects ranged from Identity Management for SUN Microsystems, Application security for Oracle to Big Data for Cloudera... Read More →
avatar for Daniel Milroy

Daniel Milroy

Computer Scientist, Lawrence Livermore National Laboratory
Daniel Milroy is a Computer Scientist at the Center for Applied Scientific Computing at the Lawrence Livermore National Laboratory. His research focuses on graph-based scheduling and resource representation and management for high performance computing (HPC) and cloud converged environments... Read More →
AS

Albin Severinson

Software Engineer, G Research
Albin Severinson is a software engineer at G Research. He works primarily on the multi-Kubernetes cluster batch scheduling system Armada.
avatar for Diana Arroyo

Diana Arroyo

Research Senior Software Engineer, IBM
Diana is a Senior Software Engineer at IBM T. J. Watson Research Center focusing on developing cutting-edge resource management solutions for a large set of system platforms ranging from web server applications to virtual machines orchestration and now cloud container platforms. She... Read More →


Monday October 24, 2022 4:00pm - 4:40pm EDT
Room 252 AB

4:50pm EDT

Closing Remarks - Abdullah Gharaibeh, Google
Speakers
avatar for Abdullah Gharaibeh

Abdullah Gharaibeh

Staff Software Engineer, Google
Abdullah is a staff software engineer at Google and sig-scheduling co-chair. He works on Kubernetes and Google Kubernetes Engine, focusing on scheduling and batch workloads.


Monday October 24, 2022 4:50pm - 5:00pm EDT
Room 252 AB
  Opening/Closing Remarks

5:00pm EDT

 
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