KubeCon + CloudNativeCon North America 2024: Full Schedule

In-person
November 12-15
Learn More and Register to Attend

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 2024 to participate in the 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 Mountain Standard Time (UTC -7). 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 and session seating is available on a first-come, first-served basis.

11:15am MST

Advanced Model Serving Techniques with Ray on Kubernetes - Andrew Sy Kim, Google & Kai-Hsun Chen, Anyscale

Wednesday November 13, 2024 11:15am - 11:50am MST

Salt Palace | Level 2 | 255 B

With the proliferation of Large Language Models, Ray, a distributed open-source framework for scaling AI/ML, has developed many advanced techniques for serving LLMs in a distributed environment. In this session, Andrew Sy Kim and Kai-Hsun Chen will provide an in-depth exploration of advanced model serving techniques using Ray, covering model composition, model multiplexing and fractional GPU scheduling. Additionally, they will discuss ongoing initiatives in Ray focused on GPU-native communication, which, when combined with Kubernetes DRA, offers a scalable approach to tensor parallelism, a technique used to fit large models across multiple GPUs. Finally, they will present a live demo, demonstrating how KubeRay enables the practical application of these techniques to real-world LLM deployments on Kubernetes. The demo will showcase Ray’s powerful capabilities to scale, compose and orchestrate popular open-source models across a diverse set of hardware accelerators and failure domains.

Speakers

Andrew Sy Kim

Software Engineer, Google

Andrew Sy Kim is a software engineer at Google working on Kubernetes and GKE.

Kai-Hsun Chen

Software Engineer, Anyscale

Kai-Hsun Chen is a software engineer on the Ray Core team at Anyscale and the primary maintainer of KubeRay. He is also an open-source enthusiast, as well as a committer and PMC member of Apache Submarine.

KubeRay Ray KCNA24 pdf

Wednesday November 13, 2024 11:15am - 11:50am MST
Salt Palace | Level 2 | 255 B

AI + ML

Content Experience Level Advanced

12:10pm MST

AI and ML: Let’s Talk About the Boring (yet Critical!) Operational Side - Rob Koch, Slalom Build & Milad Vafaeifard, Epam

Wednesday November 13, 2024 12:10pm - 12:45pm MST

Salt Palace | Level 2 | 255 B

As AI and ML become increasingly prevalent, it’s worth looking harder at the operational side of running these applications. We need a lot of compute and access to GPU workloads. We also need to be reliable, while providing rock-solid separation between datasets and training processes. And we need great observability in case things go wrong, and must be simple to operate. Let's build our ML applications on top of a service mesh instead of spending resources reimplementing the wheel – or, worse, the flat tire. Join us for a lively, informative, and entertaining look at how a service mesh can solve real-world issues with ML applications while making it simpler and faster to actually get things done in the world of ML. Rob Koch, Principal at Slalom Build, will demonstrate how you can use Linkerd together with multiple clusters to develop, debug, and deploy an ML application in Kubernetes (including IPv6 and GPUs), with special attention to multitenancy and scaling.

Speakers

Rob Koch

Principal, Slalom Build

A tech enthusiast who thrives on steering projects from their initial spark to successful fruition, Rob Koch is Principal at Slalom Build, AWS Hero, and Co-chair of the CNCF Deaf and Hard of Hearing Working Group. His expertise in architecting event-driven systems is firmly rooted... Read More →

Milad Vafaeifard

Lead Software Engineer, Epam Systems

Milad Vafaeifard, a Lead Software Engineer at EPAM Systems, has 9+ years of web design and development expertise. Deaf but undeterred, he is the creative force behind Sign Language Tech and an active contributor to a YouTube channel focused on tech content for the signing tech community... Read More →

Version 2 AI and ML the boring (yet critical) ops side pdf

Wednesday November 13, 2024 12:10pm - 12:45pm MST
Salt Palace | Level 2 | 255 B

AI + ML

Content Experience Level Any

2:30pm MST

Architecting the Future of AI: From Cloud-Native Orchestration to Advanced LLMOps - Lily (Xiaoxuan) Liu, Anyscale

Wednesday November 13, 2024 2:30pm - 3:05pm MST

Salt Palace | Level 2 | 255 B

With the groundbreaking release of ChatGPT, large language models (LLMs) have taken the world by storm: they have enabled new applications, have exacerbated GPU shortage, and raised new questions about their answers’ veracity. This talk delves into an AI stack, encompassing cloud-native orchestration, distributed computing, and advanced LLMOps. Key topics include: - Kubernetes: The foundational technology that seamlessly manages AI workloads across diverse cloud environments. - Ray: The versatile, open-source framework that streamlines the development and scaling of distributed applications. - vLLM: The cutting-edge, high-performance, and memory-efficient inference and serving engine designed specifically for large language models. Attendees will gain insights into the architecture and integration of these powerful tools, driving innovation and efficiency in the deployment of AI solutions.

Speakers

Lily Liu

Researcher at Anyscale and PhD student at UC Berkeley, AnyScale

Wednesday November 13, 2024 2:30pm - 3:05pm MST
Salt Palace | Level 2 | 255 B

AI + ML

Content Experience Level Any

3:25pm MST

A Tale of 2 Drivers: GPU Configuration on the Fly Using DRA - Alay Patel & Varun Ramachandra Sekar US, Nvidia

Wednesday November 13, 2024 3:25pm - 4:00pm MST

Salt Palace | Level 2 | 255 B

NVIDIA’s GeForceNow is a cloud gaming service that allows users to stream video games from NVIDIA's servers to a wide range of devices, including PCs, Macs, Android devices, iOS devices, and smart TVs. Under the hood, it is powered by Kubernetes running Kubevirt VMs. For a seamless user experience, GeForceNow dynamically switches GPU drivers to accommodate either passing through an entire GPU or slicing it into multiple virtual GPUs, all while keeping utilization close to 100% across the datacenter. This poses significant challenges when using the traditional device plugin API provided by Kubernetes. In this talk, we explore GeForce Now’s journey to transition away from the traditional device plugin API in favor of Dynamic Resource Allocation (DRA). We'll share valuable insights for anyone looking to perform a similar migration of their own. Join us to learn about the challenges, solutions, and best practices to help optimize your GPU-accelerated workloads in the cloud.

Speakers

Alay Patel

Senior Software Engineer, Nvidia

Alay is a Senior Software Engineer at Nvidia where he works on scaling up the workloads running on GPU Compute infrastructure. He is passionate about open source with a focus on Kubernetes and platform engineering.

Varun Ramachandra Sekar US

Senior Software Engineer, Nvidia

Developer by day, Dog whisperer by night.

KCNA24 A Tale of 2 Drivers GPU Configuration on the Fly Using DRA (2) pdf

Wednesday November 13, 2024 3:25pm - 4:00pm MST
Salt Palace | Level 2 | 255 B

AI + ML

Content Experience Level Intermediate

4:30pm MST

Making Kubernetes Simpler for Accelerated Workloads - Susan Wu, Google; Lucy Sweet, Uber; Mitch McKenzie, Weave; Aditya Shanker, Crusoe; Rebecca Weekly, Geico

Wednesday November 13, 2024 4:30pm - 5:05pm MST

Salt Palace | Level 2 | 255 B

Kubernetes and the open-source ecosystem for AI frameworks have been great for LLM innovation, empowering developers to build applications that use natural language as the interface to data. Yet, many developers and cluster operators struggle to put these frameworks into production use. In this session, hear from several platform engineers responsible for designing core infrastructure supporting accelerated workloads, services, large language model training and inference pipelines. You can expect to come away with guidance, hear of pitfalls to watch out for and learn how they successfully abstracted the infrastructure complexity to improve their research users' experience and velocity. Panelists include: Lucy Sweet, Senior Software Engineer (Infrastructure), Uber, Mitch McKenzie, Site Reliability Engineer - Machine Learning Operations, Weave, Susan Wu, Outbound Product Manager, Google

Speakers

Rebecca Weekly

Geico

Susan Wu

Outbound Product Manager, Google

Susan is an Outbound Product Manager for Google Cloud, focusing on GKE Networking and Network Security. She previously led product and technical marketing roles at VMware, Sun/Oracle, Canonical, Docker, Citrix and Midokura (part of Sony Group). She is a frequent speaker at conferences... Read More →

Lucy Sweet

Senior Software Engineer at Uber, Uber

Lucy is a Senior Software Engineer at Uber Denmark who works on software infrastructure

Mitch McKenzie

Weave

Aditya Shanker

Senior PM, Crusoe

Aditya is a Senior PM at Crusoe Cloud, responsible for building out managed orchestration and platform services

Wednesday November 13, 2024 4:30pm - 5:05pm MST
Salt Palace | Level 2 | 255 B

AI + ML

Content Experience Level Intermediate

11:00am MST

Kubernetes Workspaces: Enhancing Multi-Tenancy with Intelligent Apiserver Proxying - James Munnelly & Andrea Tosatto, Apple

Thursday November 14, 2024 11:00am - 11:35am MST

Salt Palace | Level 2 | 255 B

Multi-tenancy in Kubernetes means sacrificing essential features like cluster-scoped list/watches and multi-namespace/cluster-scoped RBAC. This often leads to additional complexity when configuring operators and forces discrepancies and friction with cluster-as-a-service type offerings. In this talk we will go through a demonstration of an intelligent Kubernetes apiserver proxy that introduces the concept of a ‘workspace’. Borrowing the name from the KCP project, a Workspace is a virtual apiserver endpoint that provides a ‘cluster-scoped’ view over a group of namespaces in a remote cluster. We’ll then go on to discuss optimisations and changes that we’d like to make within Kubernetes to better support apiserver proxying for multi-tiered caching, routing and scoping purposes.

Speakers

James Munnelly

Staff Field Engineer, Apple

James Munnelly is a Field Engineer at Apple, helping customers adopt and adapt Kubernetes, and driving adoption of OSS cloud native technologies. James is also the founder of the cert-manager project, a Kubernetes extension for managing x509 certificates. He's an active member of... Read More →

Andrea Tosatto

Site Reliability Engineer, Apple

Andrea works at Apple as a Site Reliability Engineer. His day to day job consists in managing the lifecycle and ensuring the reliability of a multi-tenant compute platform built on top of Kubernetes. He is deeply passionate about multi-tenancy and any related topic, ranging from runtime... Read More →

Thursday November 14, 2024 11:00am - 11:35am MST
Salt Palace | Level 2 | 255 B

Emerging + Advanced

Content Experience Level Intermediate

11:55am MST

Running Quantum-Safe Applications on Kubernetes - Paul Schweigert & Michael Maximilien, IBM Quantum

Thursday November 14, 2024 11:55am - 12:30pm MST

Salt Palace | Level 2 | 255 B

Quantum computers pose a unique threat to computer security, as the encryption standards we rely upon are vulnerable to powerful quantum computers. While those computers are still several years away, "harvest now, decrypt later" attacks put all data not protected using quantum-safe security at risk. So what can we do now to protect our applications? In this talk, Paul will demo how to deploy a quantum-safe application on Kubernetes. He'll provide a brief overview of quantum-safe cryptography and why it's needed, highlight key work being done in the open source community to migrate to quantum-safe cryptography, and conclude with a demo of how to build a quantum-safe cloud-native application. In particular, he'll show where and how to make changes to a Kubernetes environment to ensure users are protected by quantum-safe connections. At the conclusion of this session, listeners will have a set of practical steps they can take to help secure their applications in a post-quantum world.

Speakers

Michael Maximilien

Distinguished Engineer, IBM

Max is an IBM Distinguished Engineer and leader for the teams contributing to Open Quantum and Serverless. Max has held elected and leadership positions in Cloud Foundry and Knative OSS communities. Max's main expertise are in software engineering and distributed systems. Max published... Read More →

Paul Schweigert

Senior Software Engineer, IBM

Paul Schweigert works on quantum and serverless technologies at IBM. He has extensive experience in open source (Knative and Kubernetes in particular) and has spoken at numerous conferences. He has also led various platform engineering and data science teams. In a previous life, he... Read More →

running quantum safe applications pdf

Thursday November 14, 2024 11:55am - 12:30pm MST
Salt Palace | Level 2 | 255 B

Emerging + Advanced

Content Experience Level Any

2:30pm MST

Running WebAssembly (Wasm) Workloads Side-by-Side with Container Workloads - Jiaxiao Zhou, Microsoft

Thursday November 14, 2024 2:30pm - 3:05pm MST

Salt Palace | Level 2 | 255 B

Sidecar containers are a powerful Kubernetes design pattern, running alongside the main application within the same pod to provide supporting features like observability, configuration and communication. However, sidecars can be resource-intensive, adding up to high CPU, memory and network bandwidth usage. WebAssembly (Wasm) offers a solution with its low resource usage and minimal memory footprint compared to Linux containers. Its quick start-up time enables scale-to-zero capability, making it a perfect fit for sidecar containers. The Containerd Runwasi project extends the sidecar pattern by enabling Kubernetes-native deployment and management of Wasm workloads.This talk will show how you can get started deploying Wasm sidecars to support your primary services with additional functionality. It will conclude with a demo of integrating these Wasm sidecars with your existing sidecar framework, whether that be Service Mesh or Dapr. Tune in to see Wasm sidecars on Kubernetes!

Speakers

Jiaxiao Zhou

Software Engineer, Microsoft

Jiaxiao (Joe) Zhou is a Software Engineer at Microsoft. He is on the Azure Container Upstream team and works on bringing WebAssembly to the cloud through projects like "runwasi", "SpiderLightning", and "containerd-wasm-shims". He is a Recognized Contributor to the Bytecode Alliance... Read More →

KubeCon 24 Running Wasm side by side with Containers (1) pdf

Thursday November 14, 2024 2:30pm - 3:05pm MST
Salt Palace | Level 2 | 255 B

Emerging + Advanced

Content Experience Level Advanced

3:25pm MST

Load-Aware GPU Fractioning for LLM Inference on Kubernetes - Olivier Tardieu & Yue Zhu, IBM

Thursday November 14, 2024 3:25pm - 4:00pm MST

Salt Palace | Level 2 | 255 B

As the popularity of Large Language Models (LLMs) grows, LLM serving systems face challenges in efficiently utilizing GPUs on Kubernetes. In many cases, dedicating an entire GPU to a small or unpopular model is a waste, however understanding the relationship between request load and resource requirements has been difficult. This talk will study GPU compute and memory requirements for LLM inference servers, like vLLM, revealing an analytical relationship between key configuration parameters and performance metrics such as throughput and latency. This novel understanding makes it possible to decide at deployment time an optimal GPU fraction based on the model's characteristics and estimated load. We will demo an open-source controller capable of intercepting inference runtime deployments on Kubernetes to automatically replace requests for whole GPUs with fractional requests using MIG (Multi-Instance GPU) slices, increasing density hence LLM sustainability without sacrificing SLOs.

Speakers

Olivier Tardieu

Principal Research Scientist, Manager, IBM

Dr. Olivier Tardieu is a Principal Research Scientist and Manager at IBM T.J. Watson, NY, USA. He joined IBM Research in 2007. His current research focuses on cloud-related technologies, including Serverless Computing and Kubernetes, as well as their application to Machine Learning... Read More →

Yue Zhu

Staff Research Scientist, IBM Research

Dr. Yue Zhu is a Staff Research Scientist at IBM Research specializing in foundation model systems and distributed storage systems. Yue obtained a Ph.D. in Computer Science from Florida State University in 2021 and has consistently contribute to sustainability for foundation models... Read More →

AutoFit pdf

Thursday November 14, 2024 3:25pm - 4:00pm MST
Salt Palace | Level 2 | 255 B

Emerging + Advanced

Content Experience Level Intermediate

4:30pm MST

WASM + KWOK Wizardry: Writing and Testing Scheduler Plugins at Scale - Dejan Pejchev & Jonathan Giannuzzi, G-Research

Thursday November 14, 2024 4:30pm - 5:05pm MST

Salt Palace | Level 2 | 255 B

Zoom Link

In the world of Kubernetes, optimizing scheduler performance is key to maximizing cluster efficiency. This session dives into building custom Kubernetes scheduler plugins using WebAssembly and leveraging KWOK to test their performance. We'll begin by introducing the fundamentals of Kubernetes scheduling and the unique advantages of WebAssembly, such as fast startup times and secure sandboxing. We will show how the kube-scheduler-wasm-extension project can be used to create custom scheduling logic easily. Next, we'll explore KWOK (Kubernetes WithOut Kubelet), a tool that simulates Kubernetes clusters for testing and benchmarking purposes. Through hands-on examples, we'll demonstrate how to set up KWOK, create realistic test environments, and gather performance metrics to fine-tune your custom scheduler plugins.

Speakers

Jonathan Giannuzzi

Open Source Evangelist, G-Research

Dejan Zele Pejchev

Open Source Engineer, G-Research

Dejan is a seasoned Software Engineer with over 8 years of experience building and scaling distributed systems and an advocate of open source & Kubernetes-native solutions. Dejan is also a maintainer of Armada, the Kubernetes multi-cluster batch scheduling tool, Testkube, the Kubernetes-native... Read More →

KCNA24 WASM KWOK Wizardry pdf

Thursday November 14, 2024 4:30pm - 5:05pm MST
Salt Palace | Level 2 | 255 B

Emerging + Advanced

Content Experience Level Advanced

5:25pm MST

What if Kubernetes Was a Compiler Target? - David Morrison, Applied Computing Research Labs & Tim Goodwin, UC Santa Cruz

Thursday November 14, 2024 5:25pm - 6:00pm MST

Salt Palace | Level 2 | 255 B

Multi-tier programming is a classic concept from the programming languages community, which provides abstractions for building multiple layers of a distributed application at once. For example, there might be a “presentation” tier that displays a user interface, a “data” tier that interacts with a backing database, and a “business logic” tier that connects the two, all of which can be expressed succinctly as part of the same program and compiled into independently-deployable units. However, Kubernetes has pushed modern software development in the opposite direction: SOA applications are composed of hundreds of independent units of code, often written in different languages and development environments. In this talk we provide an overview of multi-tier programming and how it might apply to software development on Kubernetes. We also present a prototype “Kubernetes compiler” that can turn a monolithic codebase into a distributed application that runs on top of Kubernetes.

Speakers

David Morrison

Research Scientist, Applied Computing Research Labs

David Morrison is a research scientist at Applied Computing Research Labs, an open-source research and development lab exploring scheduling and optimization problems in distributed computing. Previously, David was a staff engineer at Airbnb and at Yelp. David received his PhD in Computer... Read More →

Tim Goodwin

PhD Student, UC Santa Cruz

I am a 3rd year PhD student in the LSD lab at UC Santa Cruz. I am broadly interested in distributed systems and the abstractions we use to build them. I focus on cloud-native programming models and the challenges they present to developers, and my current research is focused on Kubernetes... Read More →

What if Kubernetes was a compiler target pdf

Thursday November 14, 2024 5:25pm - 6:00pm MST
Salt Palace | Level 2 | 255 B

Emerging + Advanced

Content Experience Level Advanced

11:00am MST

Open Source 2.0: The Maintainers' Perspective - William Morgan, Buoyant; Ashley Davis, Venafi; Deepthi Sigireddi, PlanetScale; Emily Omier, Emily Omier Consulting; Matt Bates, Cofide

Friday November 15, 2024 11:00am - 11:35am MST

Salt Palace | Level 2 | 255 B

Open source rules the world, and for a good reason: The code is generally better and more secure, bugs are fixed faster, and more. Virtually all modern applications run on it. But the landscape has changed since the early Linux days. Nights and weekends, volunteer-led projects are increasingly rare. Especially in the CNCF landscape, open source is maintained almost exclusively by companies that pursue a strategic goal, and they need a business justification for paying their engineers. So, who writes the code has changed, but the community's expectations — that it should be free — hasn't. While open source will remain free, the companies behind it must find ways to monetize it — whether through support, enterprise editions, or licensing models. Recent changes, including projects like Terraform, Flux, and Linkerd, highlight the need for a paradigm shift. Join this panel to hear from project maintainers why that is and the future they envision.

Speakers

Emily Omier

Consultant, Emily Omier Consulting

Emily Omier is a positioning consultant who helps open source startups accelerate revenue and community growth by clarifying the project and product's market category, unique value in the market and target user audience. She hosts The Business of Open Source podcast and writes a blog... Read More →

Matt Bates

Founder & CEO, Cofide

William Morgan

Linkerd Director, Buoyant CEO, Buoyant

William is a director on the Linkerd project and the co-founder and CEO of Buoyant, the creators of Linkerd. Prior to Buoyant, he was an infrastructure engineer at Twitter, a software engineer at Powerset, Microsoft, and Adap.tv, a research scientist at MITRE. He holds an MS in computer... Read More →

Ashley Davis

Staff Software Engineer, Venafi

As a teenager, Ash taught himself to program after wondering how exactly video games were made. That led to adventures trawling through open source codebases, sparking an interest in computers spanning from bare-metal machine code right up to scalable distributed platforms like Kubernetes... Read More →

Deepthi Sigireddi

Software Engineer, PlanetScale

Deepthi is the Technical lead for Vitess, a CNCF graduated open source project. She also leads the Vitess engineering team at PlanetScale which offers a database service built on Vitess. She brings over 20 years of experience building scalable systems to this role. She enjoys speaking... Read More →

Friday November 15, 2024 11:00am - 11:35am MST
Salt Palace | Level 2 | 255 B

Cloud Native Experience

Content Experience Level Any

11:55am MST

Introduction to Distributed ML Workloads with Ray on Kubernetes - Mofi Rahman & Abdel Sghiouar, Google

Friday November 15, 2024 11:55am - 12:30pm MST

Salt Palace | Level 2 | 255 B

The rapidly evolving landscape of Machine Learning and Large Language Models demands efficient scalable ways to run distributed workloads to train, fine-tune and serve models. Ray is an Open Source framework that simplifies distributed machine learning, and Kubernetes streamlines deployment. In this introductory talk, we'll uncover how to combine Ray and Kubernetes for your ML projects. You will learn about: - Basic Ray concepts (actors, tasks) and their relevance to ML - Setting up a simple Ray cluster within Kubernetes - Running your first distributed ML training job

Speakers

Abdel Sghiouar

Cloud Developer Advocate, Google

Abdel Sghiouar is a senior Cloud Developer Advocate @Google Cloud. A co-host of the Kubernetes Podcast by Google and a CNCF Ambassador. His focused areas are GKE/Kubernetes, Service Mesh and Serverless.

Mofi Rahman

Developer Relations Engineer, Google

Mofizur Rahman (@moficodes) is a Developer Advocate at Google. His favorite programming language these days is Go. He is a strong believer of the power of open source and importance of giving back to the community. He is a self proclaimed sticker collecting addict and has collected... Read More →

Introduction to Distributed workload with Ray on Kubernetes pdf

Friday November 15, 2024 11:55am - 12:30pm MST
Salt Palace | Level 2 | 255 B

Cloud Native Novice

Content Experience Level Beginner

2:00pm MST

Faster Containerized LLM Serving via Knowledge Sharing - Junchen Jiang, University of Chicago & Zhou Sun, Mooncake Labs

Friday November 15, 2024 2:00pm - 2:35pm MST

Salt Palace | Level 2 | 255 B

Imagine once an LLM learns something from a document, the knowledge can be instantly shared with other LLMs. Unfortunately, today, LLMs must read the same document multiple times, causing a significant slowdown. This session will introduce a new KNOWLEDGE-SHARING system that enables LLMs to share their digested knowledge, in the form of KV caches, so only one LLM needs to process each document. The key challenge is how to store the KV caches cheaply and serve them quickly. Instead of keeping the KV caches of all reusable chunks in GPU/CPU memory, we show a DEMO that with careful implementation on Kubernetes, storing them on cheaper devices is not only economically superior but also delivers significant reductions in LLM serving delay, especially the time to the first token.

Speakers

Junchen Jiang

Professor, University of Chicago

Junchen Jiang is an Assistant Professor of Computer Science at the University of Chicago. He works at the intersections between networked systems and machine learning. He received his Ph.D. from CMU in 2017 and his bachelor’s degree from Tsinghua in 2011. He has received a Google... Read More →

Zhou Sun

CEO, Mooncake Labs

Mooncake Labs is working on the next generation of stateless data architecture, bringing database performance and functionality to structured and unstructured data in datalakes and raw datasets. Previous I lead the query team at SingleStore (cloud-native distributed HTAP database... Read More →

KCNA24 Talk Slides pdf

Friday November 15, 2024 2:00pm - 2:35pm MST
Salt Palace | Level 2 | 255 B

Emerging + Advanced

Content Experience Level Intermediate

4:00pm MST

Migratory Patterns: Making Architectural Transitions with Confidence and Grace - Pete Hodgson, PartnerSlate

Friday November 15, 2024 4:00pm - 4:35pm MST

Salt Palace | Level 2 | 255 B

Big technical migrations - like switching databases - can feel like you're swapping out the engine of a bus while continuing to drive down the freeway (with all your users screaming in the back). However, there are ways to make these transitions safe, incremental, low-stress. In this talk we'll walk through a real-world case study of switching a production system from one database to another with no downtime, and no tears, using techniques like Expand/Contract, Dark Launch and Parallel Run. We'll also see hands-on examples of using CNCF open standards like Open Feature and Open Telemetry to manage this migration.

Speakers

Pete Hodgson

CTO, PartnerSlate

Pete Hodgson is an independent software delivery consultant. He helps engineering teams to level up and tackle their thorniest challenges, with a focus on agile engineering practices, architectural evolution, and lean process management. Prior to going independent he spent several... Read More →

Friday November 15, 2024 4:00pm - 4:35pm MST
Salt Palace | Level 2 | 255 B

SDLC

Content Experience Level Intermediate