Mastering Kubernetes: Workloads APIs (Deployment, StatefulSet, ReplicaSet, Pod, etc.)
DevOps & AI Toolkit
@devopstoolkitAbout
We want to help you learn the tools and the processes that you should be using and applying in your day-to-day job. We want to help you make decisions. What works well, what doesn't work, why you should choose one tool over the other, and how to get up-to-speed quickly. Which tool works the best for a given task? What should we explore in more depth, and what is a waste of time? This channel has AI & DevOps in the name because we believe that the only way forward is to combine different types of expertise, be it development, or operations, or AI, or anything else. Ultimately, we need to be able to develop, test, deploy, and operate our systems without friction caused by silos formed around distinct types of expertise. Hence, our focus is on bridging the gap by focusing on the topics that allow developers, operators, and everyone else to work together by adopting tools and processes that are relevant today and foster collaboration. Viktor Farcic & Darin Pope
Video Description
Embark on a journey to Kubernetes excellence with a dive into Kubernetes Workloads APIs. This video is your one-stop shop for mastering the various controllers and APIs that define how applications run on the powerful orchestration platform. We kick off with the building blocks of all Kubernetes workloads – Pods. You'll learn about their lifecycle, how to create them, and what makes them tick. But since Pods alone aren't enough for a robust system, we introduce ReplicaSets – the key to ensuring your desired number of pod replicas are always up and running. Next, we level up to Deployments for complete lifecycle management of your Pods and ReplicaSets, including updates and rollbacks. You'll gain insights into setting up zero-downtime deployment strategies that keep your applications resilient. For applications that require stable networking and persistent storage, we dive into StatefulSets, explaining how they differ from Deployments and suit specific use cases. You'll learn how to handle stateful applications with confidence, ensuring data consistency and service discovery. DaemonSets ensure that some workloads are a constant presence on your nodes. We cover scenarios where DaemonSets are essential and show you how to utilize them for tasks such as log collection and monitoring. For workloads that need to run once or periodically, we unpack Jobs and CronJobs. Discover how to define batch jobs that run to completion and schedule them to run automatically, so your applications can handle maintenance tasks, data processing, or any other work that doesn't fit into the always-on service model. By the end of this video, you'll possess an understanding of Kubernetes Workloads APIs. You'll not only be able to deploy various types of applications but also manage their lifecycle and scale with the demands of your users. ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ Sponsor: StatusPal 🔗 https://www.statuspal.io/?utm_source=YouTube&utm_medium=video&utm_campaign=DevOpsToolkit 🔗 Use the discount code "DevOpsToolkit" during checkout for a 30% discount ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ #Kubernetes #KubernetesTutorial #KubernetesWorkloads Consider joining the channel: https://www.youtube.com/c/devopstoolkit/join ▬▬▬▬▬▬ 🔗 Additional Info 🔗 ▬▬▬▬▬▬ ➡ Gist with the commands: https://gist.github.com/vfarcic/c49bd483d350187c9afdf7a6f646ef7b 🔗 Kubernetes: https://kubernetes.io ▬▬▬▬▬▬ 💰 Sponsorships 💰 ▬▬▬▬▬▬ If you are interested in sponsoring this channel, please use https://calendar.app.google/Q9eaDUHN8ibWBaA7A to book a timeslot that suits you, and we'll go over the details. Or feel free to contact me over Twitter or LinkedIn (see below). ▬▬▬▬▬▬ 👋 Contact me 👋 ▬▬▬▬▬▬ ➡ Twitter: https://twitter.com/vfarcic ➡ LinkedIn: https://www.linkedin.com/in/viktorfarcic/ ▬▬▬▬▬▬ 🚀 Other Channels 🚀 ▬▬▬▬▬▬ 🎤 Podcast: https://www.devopsparadox.com/ 💬 Live streams: https://www.youtube.com/c/DevOpsParadox ▬▬▬▬▬▬ ⏱ Timecodes ⏱ ▬▬▬▬▬▬ 00:00 Introduction to Kubernetes Workloads API 00:56 StatusPal (sponsor) 01:48 Containers in Kubernetes 02:49 Pods in Kubernetes 05:25 ReplicaSets in Kubernetes 12:30 Deployments in Kubernetes 16:00 Deployment Volumes in Kubernetes 19:07 SatefulSets in Kubernetes 23:23 DaemonSets in Kubernetes 25:46 Jobs in Kubernetes 28:32 CronJobs in Kubernetes 30:15 Goodbye (For Now)
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