Is a local solid-state drive storage physically attached to the server that hosts your virtual machine (VM) instances. Features Tightly coupled to a physical server that offers superior performance, very high input/output operations per second (IOPS), and very low latency compared to other block storage options. Each local SSD is 375 GB. Moreover, you can attach a maximum of 24 Local SSD partitions. You can also format and mount several local SSD partitions into one logical volume. Local SSDs are designed for temporary storage use cases which makes them suitable for workloads like: Media Rendering Data Analytics Caches Processing Space [...]
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Bookmarks Features Zonal and Regional Persistent Disks Persistent Disk Types Encryption Snapshots Pricing Are durable network storage devices that you can provision to host your virtual machine instances. Features Data on each persistent disk is distributed across several physical disks and is designed for high durability. It stores data redundantly to ensure data integrity. Persistent disks are resizable to accommodate larger storage requirements. It can be attached to virtual machines running on Compute Engine (GCE) or Google Kubernetes Engine (GKE). You cannot attach a persistent disk to an instance on another [...]
Bookmarks Features Kubernetes Cluster Architecture Kubernetes API Objects GKE Sandbox Pricing Validate Your Knowledge Secured and managed Kubernetes services with auto-scaling and multi-cluster support Features Can be configured to automatically scale node pool and clusters across multiple node pools based on changing workload requirements. Auto-repair can be enabled to do health checks on node Choose clusters tailored to your requirements based on: Availability Version Stability Isolation Pod Traffic requirements Enable Cloud Logging and Cloud Monitoring via simple checkbox configurations. Kubernetes version can be enabled to auto-upgrade with the latest release patch. [...]
Bookmarks Features Types of Scaling Pricing Validate Your Knowledge A highly scalable fully managed serverless platform for developing and hosting web applications. Features A fully managed environment to allow you to concentrate on deploying your application. Custom runtimes allow you to bring any library and framework to App Engine by supplying a Docker container. Application versioning is available to easily host different versions of your application and create development, test, staging, and production environments. Allows you to split traffic between different application versions to perform A/B testing. You can only create a single [...]
Bookmarks Configurations Instance Templates Instance Groups Managing access to your instances Backing up your instance Sole Tenant Nodes Preemptible Instances Shielded Instances Instance Life Cycle GCP Marketplace Live Migration Pricing Validate Your Knowledge Linux-based and Windows-based virtual machines Each instance you create belongs to a project A project can have one or more instances Configurations Generally, when you create an instance, you should specify the following. Zone Operating System Machine type General purpose (E2, N1, N2, N2D) - provides a good balance of price [...]
GCP’s customer-friendly pricing allows businesses to pay as you go, without termination fees, and no upfront costs. Google Cloud Free Program New customers are given $300 free Cloud Billing credits valid for 90 days to explore and evaluate the Google Cloud Platform. Free Tier Limits are also available for all GCP customers on selected Google Cloud services – like GCE, GCS, and BigQuery. The free tier limit does not expire but is subject to change. You won’t be charged until you choose to upgrade your account from a free trial to a paid account through the GCP Console. Cloud Billing [...]
The cloud infrastructure of GCP is built around: 20+ regions 70+ zones 140+ network edge locations Multi-regions A large geographic area, such as the United States, that contains two or more geographic places. Regions Are collections of zones that provide high-bandwidth, low-latency network connections to other zones in the same region. Regional resources can be used by any resource in that region, regardless of zone Generally, communication within regions will always be cost-efficient and faster than communication across different regions. Zones It is an isolated location within a region and is composed of several physical infrastructures housed in a data [...]
The Google Cloud Platform is the infrastructure that powers the Google products you are familiar with including Gmail, Search, and Google Photos. In April of 2008, Google announced its first service called App Engine, a cloud compute service for developing and hosting web applications in Google-managed data centers. Since then, Google has evolved and added more cloud services to its platform. GCP lets developers build and host applications and websites, store data, and analyze data, all on Google’s scalable and reliable computing infrastructure. It has hundreds of products and tools in categories like compute, storage, databases, networking, and machine learning [...]
AWS Certified Cloud Practitioner vs Microsoft Azure AZ-900 Exam One way to boost your career in the cloud computing space is through certifications. These exams will help validate your current understanding and knowledge in the cloud. Cloud service providers offer different learning paths such as Cloud Architect, Cloud Developer, and Cloud Administrator. Both AWS and Microsoft have introductory certifications that will test your understanding of the basics. AWS has what they call the AWS Certified Cloud Practitioner exam, while Microsoft has the AZ-900 Microsoft Azure Fundamentals exam. In this article, we will discuss the similarities and differences between these two [...]
Orchestrate and manage high-performance computing (HPC) environments on Azure. Enables you to provision infrastructure for HPC systems, deploy familiar HPC schedulers, and scale the infrastructure automatically to run jobs efficiently at any scale. Features Scheduler Agnostic - use standard HPC schedulers or extend CycleCloud autoscaling plugins to work with your own scheduler. Manage Compute Resources - manage VMs and scale sets to provide a set of compute resources to meet your workload requirements. Autoscale Resources - adjust cluster size and components automatically based on workload, availability, and time requirements. Monitor and Analyze - collect node-level metrics and analyze the performance [...]