For content relevant to the Associate Cloud Engineer exam.
Google Cloud Platform (GCP) offers various load balancing options to distribute traffic across your resources efficiently. To begin differentiating these options, consider the following key aspects: Traffic Type: HTTP(S) Load Balancing: Ideal for web applications and services using HTTP or HTTPS protocols. It operates at Layer 7 and offers features like content-based routing, session affinity, … Read more
When you create a new Google Cloud project, it comes with default quotas that are designed to prevent accidental overuse of resources. However, as your project grows and your resource usage increases, you may find that you need to request additional compute quotas to accommodate your workload. To assess your current compute quotas, navigate to … Read more
Google Cloud’s Operations Suite encompasses Cloud Monitoring and Cloud Logging, essential tools for comprehensive observability within your GCP environment. The Cloud Monitoring and Logging Agent, often referred to as the “Ops Agent,” facilitates the collection of telemetry data (metrics, logs) from your Compute Engine VMs, on-premises systems, and even those hosted on other clouds. This … Read more
Secure Shell (SSH) keys offer a robust mechanism for authenticating remote access to your Compute Engine instances. Instead of relying on traditional passwords, SSH keys employ a pair of cryptographic keys: a private key (stored securely on your local machine) and a public key (uploaded to your instance). To ensure seamless and secure connections, let’s … Read more
What is an Autoscaled Managed Instance Group? An autoscaled MIG is a collection of identical virtual machine (VM) instances that can automatically adjust in size based on demand. This dynamic scaling ensures your applications have the necessary resources during peak traffic while optimizing costs during lulls. Prerequisites Instance Template: Create an instance template that defines … Read more
Google Cloud Platform (GCP) offers two primary methods for launching Compute Engine virtual machines (VMs): the Google Cloud Console (web interface) and the Cloud SDK (gcloud command-line tool). This guide demonstrates a hybrid approach, leveraging both tools for streamlined and customizable instance deployment. Prerequisites Active GCP Project: Ensure you have an active Google Cloud Platform … Read more
Compute Engine is Google Cloud’s infrastructure as a service (IaaS) offering, providing scalable virtual machines and other resources in the cloud. Launching a compute instance using the Google Cloud console and Cloud SDK (gcloud) One of the most fundamental tasks in Compute Engine is launching a virtual machine instance. This can be done through the … Read more
Cloud DNS is a highly available and scalable DNS service that lets you publish your domain names using Google’s infrastructure. It’s built on the same infrastructure that Google uses for its own services, which means you can rely on it for your own applications and services. With Cloud DNS, you can manage your DNS zones … Read more
Identifying resource locations in a network for availability while planning and configuring network resources on GCP involves understanding GCP’s geographical hierarchy, identifying resource types and their availability requirements, determining user locations, planning for high availability and disaster recovery, and using GCP tools to help with location planning. Here’s a breakdown of the steps involved: 1. … Read more
Cloud Filestore, provided by GCP (Google Cloud Platform), is a storage solution similar to Network File Systems (NFS). It enables you to store various types of data, much like a regular computer filesystem such as the C drive in Windows. By attaching Filestore instances to your VMs, you can utilize it as an external file … Read more