How does Cloud CDN handle cache hits and cache misses?
Cloud CDN (Content Delivery Network) is a service provided by Google Cloud Platform (GCP) that helps deliver content to users with low latency and high availability. It works by caching content in edge locations around the world, closer to the end users, reducing the distance and network hops required to access the content. When a
- Published in Cloud Computing, EITC/CL/GCP Google Cloud Platform, GCP basic concepts, Cloud CDN, Examination review
What is the purpose of Cloud CDN in the context of Google Cloud Platform?
Cloud CDN, or Content Delivery Network, is a service provided by Google Cloud Platform (GCP) that aims to improve the performance and availability of web content to end users. It achieves this by caching content in strategically located data centers around the world, reducing latency and improving the overall user experience. The purpose of Cloud
- Published in Cloud Computing, EITC/CL/GCP Google Cloud Platform, GCP basic concepts, Cloud CDN, Examination review
What types of autoscaling does GKE offer for workloads and infrastructure, and how do they function?
Google Kubernetes Engine (GKE) offers various types of autoscaling for both workloads and infrastructure. These autoscaling mechanisms enable efficient resource utilization, ensuring that applications running on GKE can handle varying workloads without manual intervention. In this answer, we will explore the different types of autoscaling provided by GKE and how they function. 1. Horizontal Pod
What are the differences between zonal and regional clusters in terms of high availability and cluster configuration changes?
Zonal and regional clusters in the context of high availability and cluster configuration changes in Google Kubernetes Engine (GKE) exhibit distinct characteristics. Understanding these differences is crucial for effectively deploying and managing applications in a cloud environment. Zonal clusters in GKE are designed to provide high availability within a single zone. A zone refers to
How does GKE handle workload deployment and what tools can be used for packaging and deployment?
Google Kubernetes Engine (GKE) is a managed environment for deploying, managing, and scaling containerized applications using Kubernetes on Google Cloud Platform (GCP). GKE handles workload deployment by providing a robust and scalable infrastructure that simplifies the process of packaging and deploying applications. To deploy workloads on GKE, there are several tools and techniques that can
- Published in Cloud Computing, EITC/CL/GCP Google Cloud Platform, GCP basic concepts, Google Kubernetes Engine GKE, Examination review
What are the components of a GKE cluster and what are their roles?
A Google Kubernetes Engine (GKE) cluster is a managed environment for deploying, managing, and scaling containerized applications using Kubernetes. GKE clusters consist of several components, each playing a specific role in the functioning of the cluster. In this answer, we will explore the various components of a GKE cluster and discuss their roles in detail.
What is Google Kubernetes Engine (GKE) and what is its purpose in the context of Google Cloud Platform (GCP)?
Google Kubernetes Engine (GKE) is a managed, production-ready environment for deploying, managing, and scaling containerized applications using Kubernetes on Google Cloud Platform (GCP). It provides a reliable and efficient way to run containerized workloads at scale, simplifying the process of managing and orchestrating containers in a distributed system. Kubernetes is an open-source container orchestration platform
- Published in Cloud Computing, EITC/CL/GCP Google Cloud Platform, GCP basic concepts, Google Kubernetes Engine GKE, Examination review
How is the cost of using Dataflow calculated and what are some cost-saving techniques that can be used?
The cost of using Dataflow in Google Cloud Platform (GCP) is determined by several factors, including the amount of data processed, the duration of the job, and the resources utilized. Understanding how these factors contribute to the overall cost can help users optimize their Dataflow usage and implement cost-saving techniques. The primary component of Dataflow
What are the security features provided by Dataflow?
Dataflow, a service provided by Google Cloud Platform (GCP), offers a variety of security features that help ensure the confidentiality, integrity, and availability of data being processed. These features are designed to protect sensitive information and prevent unauthorized access or data breaches. In this answer, we will explore the security features provided by Dataflow in
What are the different methods available to create Dataflow jobs?
There are several methods available to create Dataflow jobs in Google Cloud Platform (GCP). Dataflow is a fully managed service for executing batch and streaming data processing pipelines. It provides a flexible and scalable way to process large amounts of data in parallel, making it ideal for big data analytics and real-time data processing. 1.
- Published in Cloud Computing, EITC/CL/GCP Google Cloud Platform, GCP basic concepts, Dataflow, Examination review