At Walmart, while major application software can and does operate in the cloud, stores or any client edge compute cannot avoid the intermittent network events that can create less than ideal availability and performance of the software during those times. This can lead to poor customer experience and/or failed transactions during checkout. Because of Walmart's scale of serving around 265 million customer every week, the comnbined effect on customer experience as well as the loss of revenue is pretty huge.
To overcome the issue between Stores and cloud, Walmart is building and rolling out the next generation of Point of Sale (POS) systems on highly resource constraint edge computing environment using modern service mesh based technologies designed to allow maximum business flexibility, extreme performance and rapid deployment and powered by Kubernetes.
Ke Wang and Yitao Dong from Ant Financial share the key workloads they are building with serverless and how they address pain points in production by expanding Knative. They introduce technical details of adopting Knative with secure container runtime and reinventing Knative control/data plane, which largely saves deployment and operation efforts to enable serverless in Kubernetes clusters. The discussion will also cover a quick demo to illustrate improved serverless app lifecycle management, 0-M-N-0 autoscaling performance and operation workflow.
This talk is about how Cruise has been using Kubernetes. It highlights the motivations, story, and results of migrating to multitenant Kubernetes, along with some hard-earned Pro Tips from the trenches. You’ll also learn about the open source tooling they built around Spinnaker, Vault, Google Cloud, and Istio in order to integrate with our multitenant Kubernetes.
Verizon IT we manages multiple multi-tenant Kubernetes clusters across on-prem and multiple clouds hosting hundreds of applications. Containers, Kubernetes, and cloud-native are central pillars: both for application modernization strategy, and for our north star architecture. This discussiion is about evolving the developer experience in this space, despite the security constraints, leveraging open source tooling such as Skaffold, Harbor, Kaniko, and Jib.
Uber started using docker containers at scale in 2015, and has gone through a few generations of cluster management and service discovery technologies. In early 2019, Uber started working on migration from Mesos to Kubernetes to support secure service mesh and machine learning workloads.
This talk highlights the following:
- Overview of Uber Compute Infra
- API server benchmark and tweaks
- Custom controller and scheduler logic
- CRI: resource, health check, logging, isolation
- SPIRE and service discovery setup at Uber
This talk is about the features of FoundationDB and the Record Layer that help build CloudKit, Apple’s cloud storage system for structured data. Scott Gray, a software engineer at Apple focuses on three key areas where FoundationDB and the Record Layer have unlocked large benefits for CloudKit. First, FoundationDB’s arbitrary multi-key ACID transactions have allowed implement advanced secondary indexing at scale, including our recently-developed transactional full-text search system.