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Kubernetes

container_orchestration devops microservices

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2020-Q1 2026-Q1

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Join Amir Shengross in an exploration of cloud-native applications and how they are shaping the future of software development. Learn about the principles and practices of cloud-native architecture, and discover how cloud-native applications enable organizations to innovate faster, scale efficiently, and deliver superior user experiences.

Overview of the Azure Container Apps Landing Zone Accelerator: a repeatable landing zone with best practices for production-grade infrastructure, aimed at increasing time to value and accelerating move to the cloud, and container apps that minimize Kubernetes operations overhead.

Learn how Reddit uses a custom monitoring operator to manage Thanos and Prometheus to scale their metrics deployment beyond 45 million samples per second and 600 million active series. To achieve this they run thousands of Prometheus instances of varying sizes managed by their internally developed Kubernetes controller. They use Thanos for long-term storage and global single pane of glass querying across this massive deployment. Learn about the operator, other tools they've developed, and the challenges they've faced along the way.

In Kubernetes, we deploy applications as an instance of a pre-defined container image, its properties configured declaratively. This eases automation and reproducibility of deployments, which in turn reduces operational risk. What if we extend these properties to node provisioning, treating the OS itself like an application in Kubernetes? What if, instead of making general purpose operating systems fit our needs we radically re-think our approach, from the ground up, on how an OS should handle and work in a cloud native environment?

AI and Kubernetes: A winning combination for Modern App Development | BRK208H

The future of app development is at the intersection of AI and cloud-native technologies like Kubernetes. Whether you’re a Dev team using generative AI or an Ops teams balancing innovation with security, compliance, and cost, Azure has the tools to help you succeed. Discover how: 1. Cutting-edge features in Azure Kubernetes Service, Azure Functions, & Azure Container Apps help seamlessly bring your intelligent apps to production. 2. AI assistance built into Azure empowers Dev and Ops to scale.

To learn more, please check out these resources: * https://aka.ms/Ignite23CollectionsBRK208H * https://info.microsoft.com/ww-landing-contact-me-for-events-m365-in-person-events.html?LCID=en-us&ls=407628-contactme-formfill * https://aka.ms/azure-ignite2023-dataaiblog

𝗦𝗽𝗲𝗮𝗸𝗲𝗿𝘀: * Devanshi Joshi * Jorge Palma * Kamala Dasika * Daria Grigoriu * Tara E Walker * Ed Donahue * Nate Ceres * Simon Jakesch * Thiago Almeida

𝗦𝗲𝘀𝘀𝗶𝗼𝗻 𝗜𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻: This video is one of many sessions delivered for the Microsoft Ignite 2023 event. View sessions on-demand and learn more about Microsoft Ignite at https://ignite.microsoft.com

BRK208H | English (US) | AI & Apps

MSIgnite

In this live workshop, you will learn how to deploy a Kubernetes cluster on Google Cloud and run containerized applications on the cluster. We will guide you through the Pulumi platform with diagrams and a series of labs to help accelerate your cloud projects.

Abstract : Fini les mots de passe de base de données partagés par toute l'équipe ! Fini les identifiants à durée de vie infinie ! Grâce à Boundary et Vault, il est possible, à partir de briques opensource, de mettre en place un système où chaque développeur est autorisé, selon ses droits, à accéder à des assets privés (serveur, base de donnée, cluster Kubernetes) sans posséder le moindre mot de passe. Lors de cette présentation, nous reviendrons sur ces deux outils et sur une implémentation de Vault en tant que credential broker pour Boundary. Nous présenterons également des cas pratiques d'utilisation.

Salomon will showcase our open-source approach helping data engineers to define complex Kafka pipelines consisting of multiple interconnected Kafka Streams applications, Kafka Producers/Consumers, and Kafka Connectors in a straightforward manner. Our ready-to-use approach provides automated lifecycle management of Kafka pipelines on Kubernetes, i.e., handling deployment, update, destroy, reset, and clean-up transparently. In addition, we demonstrate how this approach provides a comprehensible view of all Kafka pipelines and their metrics.

Salomon will showcase our open-source approach helping data engineers to define complex Kafka pipelines consisting of multiple interconnected Kafka Streams applications, Kafka Producers/Consumers, and Kafka Connectors in a straightforward manner. Our ready-to-use approach provides automated lifecycle management of Kafka pipelines on Kubernetes, i.e., handling deployment, update, destroy, reset, and clean-up transparently. In addition, we demonstrate how this approach provides a comprehensible view of all Kafka pipelines and their metrics.

https://github.com/bakdata/kpops

Aykut will outline the process and technology behind Jooli's innovative mobile shopping experience. Utilizing Google Cloud Platform (GCP), he'll detail how they developed a cross-platform mobile app using Flutter, which communicates with a Node backend running on Kubernetes. He'll delve into the specifics of how they employ real-time AI endpoints, leveraging Pub/Sub and Vertex AI predictions. The focus will be on demonstrating how these cutting-edge technologies have been instrumental in transforming and enhancing the mobile shopping experience for users.