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We're here to help you find itThe "Getting Started with Google Kubernetes Engine" course is a comprehensive introduction to deploying and managing containerized applications using Google Kubernetes Engine (GKE), part of the Google Cloud Platform (GCP). Throughout this course, learners will gain hands-on experience with key features of GCP, such as the Google Cloud Console and Cloud Shell, while understanding the fundamentals of cloud computing and the various compute services offered by Google Cloud.
By exploring containers and Kubernetes in the context of Google Cloud, participants will learn how to create containers using Cloud Build, store them in Container Registry, and understand the symbiotic relationship between Kubernetes and GKE. The course delves into the Kubernetes architecture, covering essential components like pods, namespaces, and the control plane.
Learners will also become proficient in deploying workloads using kubectl commands, managing deployments, and grasping concepts of pod networking and volumes. This educational journey will empower individuals to effectively administer their Google Cloud resources, make informed decisions regarding compute platforms, and confidently leverage GKE for orchestrating containerized applications.
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♱ Excluding VAT/GST
You can request classroom training in any city on any date by Requesting More Information
To ensure a successful learning experience in the "Getting Started with Google Kubernetes Engine" course, participants should have the following minimum prerequisites:
Please note that this course is designed to accommodate learners who are new to Kubernetes and containerization on the Google Cloud Platform. It will guide you through the fundamentals and ensure you build a strong foundation.
This course provides foundational knowledge on Google Cloud and Kubernetes, tailored for IT professionals seeking cloud expertise.
Target audience for the course:
This course provides a foundational understanding of Google Kubernetes Engine (GKE), covering key concepts such as containerization, Kubernetes architecture, workload management, and Google Cloud integration.
kubectl to interact with Kubernetes and manage deployments, networking, and storage solutions within the cluster.Containers are lightweight models of software packaging that encapsulate all the parts necessary to run an application, including code, runtime environments, libraries, and settings. They ensure that software runs reliably when moved between computing environments. For instance, integrating containers with systems like GKE (Google Kubernetes Engine) enables efficient management and scaling by using clusters. GKE pricing is structured to support various user needs, while GKE courses and Google Kubernetes certification provide training and skills enhancement on how to effectively use these technologies.
The control plane in technology, particularly in Kubernetes, is a key component responsible for managing the state of a system, such as a GKE (Google Kubernetes Engine) cluster. It oversees and controls interactions within the cluster, making decisions about where and how applications should run based on predetermined policies and real-time states of the cluster. This includes activities like scheduling workloads, scaling application deployments, and managing service discovery and load balancing. Effective management through the control plane ensures the desired state of the cluster is maintained, focusing on performance, reliability, and efficiency.
Google Kubernetes Engine (GKE) is a managed service provided by Google that makes it easier for developers to deploy, manage, and scale containerized applications using Google's infrastructure. GKE automates the setup of a Kubernetes cluster, reducing the complexity of manual configuration and helping maintain high availability. It offers detailed GKE cluster pricing structures and allows for budget control. For those looking to skill up, there are Google Kubernetes courses and certifications available that help enhance understanding and proficiency in managing containerized applications efficiently on GKE, preparing professionals for effective use of this powerful orchestration tool.
A Container Registry is a centralized online repository where you can store and manage your Docker container images. It helps in organizing the various versions of the images created during the development process, making them readily available for deployment. This tool is crucial for maintaining consistency and efficiency in application development across different environments. By using a container registry, teams can streamline their development processes, ensure that everyone is working with the same versions, and rapidly roll back to previous versions if needed, leading to more robust and reliable software delivery.
Kubernetes architecture involves managing clusters of virtual machines that run containerized applications. At its core are clusters, and within each cluster is a master, controlling and distributing tasks across worker nodes that actually run the applications. It optimizes resource use and enhances scalability. Interested in mastering Kubernetes? Consider enrolling in a GKE course or achieving a Google Kubernetes certification. Understanding GKE cluster pricing and overall GKE pricing will also equip you with the knowledge to efficiently manage resources in a cost-effective way.
Containerized applications involve putting software and all its required components into containers, creating isolated, efficient environments for running across different systems seamlessly. Think of it like packing your entire app and its necessities into a shipping container that can be deployed anywhere easily. This method optimizes how apps use resources, boosts scalability, and simplifies updates and maintenance. Tools like Google Kubernetes, often taught through a Google Kubernetes course, help manage these containers efficiently, especially across large-scale systems and is central to GKE (Google Kubernetes Engine), which focuses on automated deployment and scaling with clear GKE pricing models for budget planning.
Google Cloud Platform (GCP) is a suite of cloud computing services offered by Google that provides a range of hosting and computational services. Users can run applications and store data on Google's infrastructure, benefiting from powerful computing capabilities without maintaining physical hardware. GCP supports services such as data storage, machine learning, and computing power. Notably, it includes Google Kubernetes Engine (GKE), a management and orchestration system for Docker containers and container clusters, which offers GKE pricing and GKE cluster pricing options. GCP also provides resources for Google Kubernetes certification and courses to help users maximize their cloud skills.
The Google Cloud Console is a web interface that allows users to manage their Google Cloud resources and services. It lets you deploy, manage, and monitor solutions such as virtual machines, data storage, and applications, all within Google's cloud environment. The console provides tools to streamline the setup of Google Kubernetes Engine (GKE) clusters, making the management of containerized applications simpler. This helps in effectively managing GKE cluster pricing and optimizing cloud expenses. Furthermore, the Console supports users in preparing for Google Kubernetes certification with resources and insights directly applicable to real-world cloud strategies.
Namespaces in computing are a way to partition resources within systems like Kubernetes, which is often used in a Google Kubernetes Engine (GKE) cluster. This division helps different projects, teams, or services run without interfering with each other, even if they are on the same physical server. Using namespaces effectively can improve organization, security, and the efficiency of resource management, critical in managing costs and performance, such as GKE cluster pricing. This structural approach is also essential in preparing for Google Kubernetes certification, ensuring you're skilled in managing complex environments efficiently.
Cloud Shell is a web-based command line interface provided by Google Cloud, allowing you to manage cloud resources directly from your browser. This tool is pre-equipped with necessary software and automatically authenticated to interact with the services using Google's infrastructure. It's ideal for performing quick operations on your Google Cloud resources without the setup hassle of local software. Cloud Shell offers persistent storage and a secure access point, making it a convenient option for developers to manage projects, administer Google Kubernetes Engine (GKE) clusters, and prepare for Google Kubernetes certification.
Cloud computing is the delivery of various services through the Internet, including data storage, servers, databases, networking, and software. It allows businesses to avoid direct management of physical servers and instead access technology services on demand, quickly, and typically at lower cost. This model supports scalability, reliability, and security, providing businesses the flexibility to adjust resources as needed. Popular platforms like Google Kubernetes Engine (GKE) offer pricing models (GKE pricing) and organized clusters (GKE cluster pricing) that streamline the deployment of applications on the cloud, backed by comprehensive courses (Google Kubernetes course) and certifications (Google Kubernetes certification).
Compute services refer to the online provision of computing resources such as processing power and storage, primarily utilized to run applications and manage data. They allow businesses to scale resources up or down based on demand without investing heavily in physical hardware. A notable example involves Google Kubernetes Engine (GKE), which offers managed environments for deploying containerized applications using Kubernetes. GKE simplifies cluster management and provides pricing options tailored to varying business needs, making it an attractive choice for companies seeking efficient deployment and management of cloud resources. Additionally, GKE courses and certifications are available to enhance expertise in container orchestration.
Kubernetes is a system that helps with managing applications made up of multiple, smaller services across a cluster of machines. It organizes your application services into a cohesive ecosystem, ensuring they run seamlessly and scale as needed. Google Kubernetes Engine (GKE) is a managed environment on Google Cloud to deploy, manage, and scale these Kubernetes applications using Google's infrastructure. GKE simplifies Kubernetes operations with automatic updates, scalability features, and robust security. Understanding GKE pricing and exploring GKE courses can help professionals effectively manage costs and enhance their skills, potentially leading to Google Kubernetes certification.
Volumes in the context of containerization and Kubernetes, such as in a GKE cluster, refer to a way to store data generated and used by containers. When containers are restarted or deployed in another instance within a cluster, their internal data can disappear because containers are ephemeral. Volumes provide a way to preserve this data across container restarts and system reboots, ensuring data persistence. They can be configured to be accessible by a single or multiple containers and can be managed easily within the Kubernetes environment, helping optimize both operational functionality and cost, which is key for effective GKE pricing management.
Cloud Build is a service provided by Google Cloud that automates the process of building software. It compiles source code, runs tests, and produces software packages that are ready to deploy. With Cloud Build, developers can easily manage tasks like continuous integration and delivery (CI/CD) without managing their own infrastructure. It integrates seamlessly with Google Kubernetes Engine (GKE), allowing automated deployment to clusters. This streamlines workflows, enhances productivity, and optimizes resource allocation, helping to manage GKE cluster pricing efficiently. Cloud Build supports a variety of languages and frameworks, making it flexible for various development needs.
Pods are the smallest deployable units of computing that can be created and managed in Kubernetes, an open-source platform for automating the deployment, scaling, and operations of application containers across clusters of hosts. They contain one or more containers that share storage and network resources and a specification on how to run the containers. Pods are particularly useful in a Google Kubernetes Engine (GKE) cluster, where they facilitate the deployment and management of containerized applications. Learning Pods through a GKE course or achieving a Google Kubernetes certification can significantly enhance one's ability to efficiently manage container technologies.
Kubectl commands are tools used to interact with Kubernetes, managing various aspects of containerized applications within a cluster. These commands allow you to deploy applications, inspect and manage cluster resources, and view logs. For example, you can create, delete, and update components and services through simple command-line instructions. These capabilities are critical when working with Google Kubernetes Engine (GKE), where understanding kubectl helps in optimizing GKE cluster pricing and operations. Mastery of kubectl is also beneficial for those pursuing Google Kubernetes certification or enrolled in a Google Kubernetes course to enhance their practical skills and theoretical knowledge.
Pod networking in Kubernetes, specifically within a GKE (Google Kubernetes Engine) cluster, involves a network where each pod is assigned a unique IP address. Pods can communicate with each other across nodes without NAT. This setup is crucial for pod-to-pod communication and directly impacts cluster performance. Understanding pod networking is essential for managing GKE clusters effectively, optimizing GKE pricing, and enhancing operational efficiency. For professionals looking to deepen their knowledge, enrolling in a Google Kubernetes course or seeking a Google Kubernetes certification can provide valuable insights into best practices and advanced configurations for GKE cluster networking.
This course provides foundational knowledge on Google Cloud and Kubernetes, tailored for IT professionals seeking cloud expertise.
Target audience for the course:
This course provides a foundational understanding of Google Kubernetes Engine (GKE), covering key concepts such as containerization, Kubernetes architecture, workload management, and Google Cloud integration.
kubectl to interact with Kubernetes and manage deployments, networking, and storage solutions within the cluster.