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Oracle University Podcast

De: Oracle Corporation
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  • Oracle University Podcast delivers convenient, foundational training on popular Oracle technologies such as Oracle Cloud Infrastructure, Java, Autonomous Database, and more to help you jump-start or advance your career in the cloud.
    2023 Oracle Corporation
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Episodios
  • Working with Self-Managed Nodes and Managing Kubernetes Deployments

    Working with Self-Managed Nodes and Managing Kubernetes Deployments
    Jul 9 2024
    In this episode, hosts Lois Houston and Nikita Abraham speak with senior OCI instructor Mahendra Mehra about the capabilities of self-managed nodes in Kubernetes, including how they offer complete control over worker nodes in your OCI Container Engine for Kubernetes environment. They also explore the various options that are available to effectively manage your Kubernetes deployments. OCI Container Engine for Kubernetes Specialist: https://mylearn.oracle.com/ou/course/oci-container-engine-for-kubernetes-specialist/134971/210836 Oracle University Learning Community: https://education.oracle.com/ou-community LinkedIn: https://www.linkedin.com/showcase/oracle-university/ X (formerly Twitter): https://twitter.com/Oracle_Edu Special thanks to Arijit Ghosh, David Wright, Radhika Banka, and the OU Studio Team for helping us create this episode. -------------------------------------------------------- Episode Transcript: 00:00 Welcome to the Oracle University Podcast, the first stop on your cloud journey. During this series of informative podcasts, we’ll bring you foundational training on the most popular Oracle technologies. Let’s get started! 00:26 Nikita: Hello and welcome to the Oracle University Podcast! I’m Nikita Abraham, Principal Technical Editor with Oracle University, and with me is Lois Houston, Director of Innovation Programs. Lois: Hi everyone! Last week, we discussed how OKE virtual nodes can offer you a complete serverless Kubernetes experience. Nikita: Yeah, and in today’s episode, we’ll focus on self-managed nodes, where you get complete control over the worker nodes within your OKE environment. We’ll also talk about how you can manage your Kubernetes deployments. 00:57 Lois: To tell us more about this, we have Mahendra Mehra, a senior OCI instructor with Oracle University. Hi Mahendra! Welcome back! Let’s get started with self-managed nodes. Can you tell us what they are? Mahendra: In Container Engine for Kubernetes, a self-managed node is essentially a worker node that you personally create and host on a compute instance or instance pool within the compute service. Unlike managed nodes or virtual nodes, self-managed nodes are not grouped into node pools by default. They are often referred to as Bring Your Own Nodes, also abbreviated as BYON. If you wish to streamline administration and manage multiple self-managed nodes collectively, you can utilize the compute service to create a compute instance pool for hosting these nodes. This allows for greater flexibility and customization in your Kubernetes environment. 01:58 Nikita: Mahendra, what are some practical usage scenarios for OKE self-managed nodes? Mahendra: These nodes offer a range of advantages for specific use cases. Firstly, for specialized workloads, leveraging the compute service allows you to configure compute instances with shapes and image combination that may not be available for managed nodes or virtual nodes. This includes options like GPU shapes for hardware accelerated workloads or high frequency processor cores for demanding high-performance computing tasks. Secondly, if you require complete control over your compute instance configuration, self-managed nodes are the ideal choice. This gives you the flexibility to tailor each node to your specific requirements. Additionally, self-managed nodes are particularly well suited for Oracle Cloud Infrastructure cluster networks. These nodes provide high bandwidth, low latency RDMA connectivity, making them a preferred option for certain networking setups. Lastly, the use of compute instance pools with self-managed nodes enables the creation of infrastructure for handling complex distributed computing tasks. This can greatly enhance the efficiency of your Kubernetes environment. Consider these points carefully to determine the optimal use of OKE self-managed nodes in your deployments. 03:30 Lois: What do we need to consider before creating a self-managed node and integrating it into a cluster? Mahendra: There are two crucial aspects to address. Firstly, you need to confirm that the cluster to which you plan to add a self-managed node is configured appropriately. Secondly, it's essential to choose the right image for the compute instance hosting the self-managed node. 03:53 Nikita: Can you dive a little deeper into these prerequisites? Mahendra: To successfully integrate a self-managed node into your cluster, you must ensure that the cluster is an enhanced cluster. This is a crucial prerequisite for the addition of self-managed nodes. The flannel CNI plugin for pod networking should be utilized, not the VCN-native pod networking CNI plugin. This ensures optimal pod networking for your self-managed nodes. The control plane nodes of the cluster must be running Kubernetes version 1.25 or later. This is essential for compatibility and optimal performance. Lastly, maintain compatibility between the Kubernetes version on control plane nodes ...
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    16 m
  • Working with OKE Virtual Nodes

    Working with OKE Virtual Nodes
    Jul 2 2024
    Want to gain insights into how virtual nodes provide a serverless Kubernetes experience? Join hosts Lois Houston and Nikita Abraham, along with senior OCI instructor Mahendra Mehra, as they compare managed nodes and virtual nodes. Continuing from the previous episode, they explore how virtual nodes enhance Kubernetes deployments in Oracle Cloud Infrastructure. OCI Container Engine for Kubernetes Specialist: https://mylearn.oracle.com/ou/course/oci-container-engine-for-kubernetes-specialist/134971/210836 Oracle University Learning Community: https://education.oracle.com/ou-community LinkedIn: https://www.linkedin.com/showcase/oracle-university/ X (formerly Twitter): https://twitter.com/Oracle_Edu Special thanks to Arijit Ghosh, David Wright, Radhika Banka, and the OU Studio Team for helping us create this episode. -------------------------------------------------------- Episode Transcript: 00:00 Welcome to the Oracle University Podcast, the first stop on your cloud journey. During this series of informative podcasts, we’ll bring you foundational training on the most popular Oracle technologies. Let’s get started! 00:25 Lois: Welcome to the Oracle University Podcast! I’m Lois Houston, Director of Innovation Programs with Oracle University, and with me is Nikita Abraham, Principal Technical Editor. Nikita: Hey everyone! In our last episode, we examined OCI Container Engine for Kubernetes, including its key features and benefits. Lois: Yeah, that was an interesting one. Today, we’re going to discuss virtual nodes and their role in enhancing Kubernetes deployments in Oracle Cloud Infrastructure. Nikita: We’re going to compare virtual nodes and managed nodes, and look at their differences and advantages. To take us through all this, we have Mahendra Mehra with us. Mahendra is a senior OCI instructor with Oracle University. 01:09 Lois: Hi Mahendra! From our discussion last week, we know that when creating a node pool with Container Engine for Kubernetes, we have the option of specifying the type of Oracle nodes as either managed nodes or virtual nodes. But I’m sure there are some key differences in the features supported by each type, right? Mahendra: The primary point of differentiation between virtual nodes and managed nodes is in their management approach. When it comes to managed nodes, users are responsible for managing the nodes. They have the flexibility to configure them to meet the specific requirements. Users are also responsible for upgrading Kubernetes on managed nodes and for managing cluster capacity. You can create managed nodes and node pools in both basic clusters and enhanced clusters, whereas in virtual nodes, virtual nodes provide a serverless Kubernetes, experience, enabling users to run containerized applications at scale. The Kubernetes software is upgraded and security patches are applied while respecting application's availability requirements. You can only create virtual nodes and virtual node pools in enhanced clusters. 02:17 Nikita: What about differences in terms of resource allocation? Are there any differences we should be aware of? Mahendra: When it comes to managed nodes, the resource allocation is at the node pool level and the users specify CPU and memory resource requirements for a given node pool. In the virtual nodes, the resource allocation is done at the pod level, where you can specify the CPU and memory resource requirements, but this time, as requests and limits in the pod specification. 02:45 Lois: What about differences in the approach to load balancing? Mahendra: When it comes to managed nodes, load balancing is between the worker nodes, whereas in virtual nodes, load balancing is between pods. Also, load balancer security list management is never enabled, and you always must manually configure security rules. When using virtual nodes, load balances distribute traffic among pods' IP addresses and then assign node port. 03:12 Lois: And when it comes to pod networking? Mahendra: Under managed nodes, both the VCN-Native Pod Networking CNI plugin and the flannel CNI plugin are supported. When it comes to virtual nodes, only VCN-Native Pod Networking is supported. Also, only one VNIC is attached to each virtual node. Remember, IP addresses are not pre-allocated before pods are created. And the VCN-Native Pod Networking CNI plugin is not shown as running in the kube-system namespace. Pod subnet route tables must have route rules defined for a NAT gateway and a service gateway. 03:48 Nikita: OK… I have a question, Mahendra. When it comes to scaling Kubernetes clusters and node pools, can users adjust the cluster capacity in response to their changing requirements? Mahendra: When it comes to managed nodes, customers can scale the cluster and node pool up and down by changing the number of managed node pools and nodes respectively. They also have an option to enable autoscaling to automatically scale managed node pools and...
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    14 m
  • Introduction to OCI Container Engine for Kubernetes

    Introduction to OCI Container Engine for Kubernetes
    Jun 25 2024
    Curious about how OCI Container Engine for Kubernetes (OKE) can transform the way your development team builds, deploys, and manages cloud-native applications? Listen to hosts Lois Houston and Nikita Abraham explore OKE's key features and benefits with senior OCI instructor Mahendra Mehra. Mahendra breaks down complex concepts into digestible bits, making it easy for you to understand the magic behind OKE. OCI Container Engine for Kubernetes Specialist: https://mylearn.oracle.com/ou/course/oci-container-engine-for-kubernetes-specialist/134971/210836 Oracle University Learning Community: https://education.oracle.com/ou-community LinkedIn: https://www.linkedin.com/showcase/oracle-university/ X (formerly Twitter): https://twitter.com/Oracle_Edu Special thanks to Arijit Ghosh, David Wright, Radhika Banka, and the OU Studio Team for helping us create this episode. -------------------------------------------------------- Episode Transcript: 00:00 Welcome to the Oracle University Podcast, the first stop on your cloud journey. During this series of informative podcasts, we’ll bring you foundational training on the most popular Oracle technologies. Let’s get started! 00:25 Nikita: Hello and welcome to the Oracle University Podcast. I’m Nikita Abraham, Principal Technical Editor with Oracle University, and with me is Lois Houston, Director of Innovation Programs. Lois: Hi there! If you’ve been listening to us these last few weeks, you’ll know we’ve been discussing containerization, the Oracle Cloud Infrastructure Registry, and the basics of Kubernetes. Today, we’ll dive into the world of OCI Container Engine for Kubernetes, also referred to as OKE. Nikita: We’re joined by Mahendra Mehra, a senior OCI instructor with Oracle University, who will take us through the key features and benefits of OKE and also talk about working with managed nodes. Hi Mahendra! Thanks for joining us today. 01:09 Lois: So, Mahendra, what is OKE exactly? Mahendra: Oracle Cloud Infrastructure Container Engine for Kubernetes is a fully managed, scalable, and highly available service that empowers you to effortlessly deploy your containerized applications to the cloud. But that's just the beginning. OKE can transform the way you and your development team build, deploy, and manage cloud native applications. 01:36 Nikita: What would you say are some of its most defining features? Mahendra: One of the defining features of OKE is the flexibility it offers. You can specify whether you want to run your applications on virtual nodes or opt for managed nodes. Regardless of your choice, Container Engine for Kubernetes will efficiently provision them within your existing OCI tenancy on Oracle Cloud Infrastructure. Creating OKE cluster is a breeze, and you have a couple of fantastic tools at your disposal-- the console and the rest API. These make it super easy to get started. OKE relies on Kubernetes, which is an open-source system that simplifies the deployment, scaling, and management of containerized applications across clusters of hosts. Kubernetes is an incredible system that groups containers into logical units known as pods. And these pods make managing and discovering your applications very simple. Not to mention, Container Engine for Kubernetes uses Kubernetes versions that are certified as conformant by the Cloud Native Computing Foundation, also abbreviated as CNCF. And here's the icing on the cake. Container Engine for Kubernetes is ISO-compliant. The other two ISO-IEC standards—27001, 27017, and 27018. That's your guarantee of a secure and reliable platform. 03:08 Lois: That’s great. But how do you access all this power? Mahendra: You can define and create your Kubernetes cluster using the intuitive console and the robust rest API. Once your clusters are up and running, you can manage them using the Kubernetes command line, also known as kubectl, the user-friendly Kubernetes dashboard, and the powerful Kubernetes API. 03:32 Nikita: I love the idea of an intuitive console and being able to manage everything from a centralized place. Lois: Yeah, that’s fantastic! Mahendra, can you talk us through the magic that happens behind the scenes? What’s Oracle’s role in all this? Mahendra: All the master nodes or control plane nodes are managed by Oracle. This includes components like etcd, the API server, and the controller manager among others. To ensure reliability, we make sure multiple copies of these master components are distributed across different availability domains. And we don't stop there. We also manage the Kubernetes dashboard and even handle the self-healing mechanism of both the cluster and the worker nodes. All of these are meticulously created and managed within your Oracle tenancy. 04:19 Lois: And what happens at the user’s end? What is their responsibility? Mahendra: At your end, you have the power to manage your worker nodes. Using different compute shapes, you...
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    18 m
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