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Google Cloud Platform Full Course | Google Cloud Platform Tutorial | Cloud Computing | Simplilearn

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Google Cloud Platform provides a comprehensive course covering various domains like compute, storage, networking, and IoT, with hands-on demonstrations and highlights of strengths compared to other cloud providers like AWS and Azure. The platform offers detailed guides, certification training, pricing advantages, and a wide range of services, making it a cost-effective and powerful option for hosting websites, analyzing big data, and deploying machine learning models.

Insights

  • The video course on Google Cloud Platform covers basics, domains like compute, storage, networking, and IoT, with hands-on demonstrations.
  • GCP, AWS, and Azure are compared to highlight differences and strengths, aiding in platform selection.
  • GCP web hosting and Cloud ML concepts are explored in-depth towards the course conclusion.
  • AJ, an experienced GCP specialist, guides viewers through the platform's keynotes.
  • Google Cloud Platform offers pricing, speed, low latency, and big data capabilities as key advantages.
  • Various services under GCP domains like compute, storage, networking, big data, developer tools, security, IoT, AI, and API platform are listed for comprehensive understanding.

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Recent questions

  • What is Google Cloud Platform?

    Google Cloud Platform (GCP) is a set of cloud computing services provided by Google, offering a wide range of solutions across compute, storage, networking, big data, developer tools, security, IoT, AI, and API platform domains. It runs on the same infrastructure as YouTube and Gmail, providing advantages like pricing options, speed, low latency, and big data capabilities. GCP offers various feature products and services, including Compute Engine, Cloud Run, Anthos for migration, Vision AI, Cloud Storage, Cloud SQL, BigQuery, and AI and machine learning products like AutoML Vision AI and Text to Speech. The platform also includes detailed guides, how-to guides, and pricing options for infrastructure modernization, VM migration, SAP Cloud, VMware as a service, and high-performance computing, making it a comprehensive cloud computing solution.

  • How does Google Cloud Platform compare to AWS and Azure?

    Google Cloud Platform (GCP) is compared to Amazon Web Services (AWS) and Microsoft Azure in terms of features, performance, pricing, and market share. While AWS dominates the cloud computing market with over 100 services and 47% market share, GCP offers cost-effective services and a growing number of solutions since its launch in 2011. GCP provides a 25% annual cost reduction compared to AWS, cheaper cloud storage costs, and over 60 services attracting companies as a cloud service provider. AWS offers free access to services for a year with usage limits, while GCP provides $300 in credit over 12 months and an "always free" version with usage limits. Instance configurations differ between the platforms, with AWS offering up to 128 CPUs and 40 TB RAM, while GCP provides up to 160 CPUs and 3.75 TB RAM, along with preemptable instances at 80% off. The decision between AWS, GCP, and Azure depends on user or organizational requirements, emphasizing the need to choose the right cloud computing platform based on specific needs.

  • What are the key advantages of Google Cloud Platform?

    Google Cloud Platform (GCP) offers several key advantages, including pricing options, speed, low latency, and big data capabilities. GCP runs on the same infrastructure as YouTube and Gmail, providing a reliable and efficient cloud computing solution. The platform highlights various services under domains like compute, storage, networking, big data, developer tools, security, IoT, AI, and API platform, catering to diverse business needs. GCP also offers feature products and services like Compute Engine, Cloud Run, Anthos for migration, Vision AI, Cloud Storage, Cloud SQL, BigQuery, and AI and machine learning products, showcasing its versatility and innovation in the cloud computing space. Additionally, GCP provides detailed guides, how-to guides, and pricing options for infrastructure modernization, VM migration, SAP Cloud, VMware as a service, and high-performance computing, making it a comprehensive and user-friendly cloud platform.

  • How does cloud computing benefit organizations?

    Cloud computing offers several benefits to organizations, including on-demand self-service, broad network access, resource pooling, rapid elasticity, and measured services. By utilizing hardware and software components offered as services accessed over a network, organizations can achieve automatic integration, backup, and restoration of data, enhancing operational efficiency. The trend of cloud computing has evolved from colocation to virtualization to container-based architectures, providing various advantages for businesses. Major cloud providers like Amazon AWS, Microsoft Azure, and Google Cloud Platform offer a range of services for organizations to modernize their infrastructure, improve scalability, and reduce operational costs. Cloud computing enables organizations to access a wide range of services like compute, storage, networking, big data, developer tools, security, IoT, AI, and management solutions, fostering innovation and growth in the digital landscape.

  • How does Google Cloud Platform support web hosting?

    Google Cloud Platform (GCP) offers three types of web hosting options: WordPress, LAMP stack, and the ability to build a custom website. GCP provides flexibility, scalability, and rapid VM deployment on Google Compute Engine, making it an ideal solution for hosting websites. A case study involving Lush, a global cosmetics retailer, showcases how GCP optimized infrastructure, resulting in improved availability during peak loads and reduced hosting costs. Users can easily set up a VM instance on GCP by accessing the console, choosing specifications like CPU, RAM, and disk size, and setting up security options. Hosting a website on GCP involves installing services like Apache, creating HTML pages, and accessing the website through the public IP address. GCP's high-quality private network streamlines data center usage, offering a flexible architecture for future business growth and ensuring a seamless web hosting experience for users.

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Summary

00:00

"Google Cloud Platform: Comprehensive Course & Comparison"

  • The video is a comprehensive course on Google Cloud Platform, covering basics, domains like compute, storage, networking, and IoT, with hands-on demonstrations.
  • A comparison between GCP, AWS, and Azure is provided to highlight differences and individual strengths.
  • In-depth concepts like GCP web hosting and GCP Cloud ML are explored towards the end.
  • GCP fundamentals and certification training are discussed to aid viewers in gaining certification.
  • The instructor, AJ, is an experienced GCP specialist guiding viewers through keynotes of the platform.
  • Cloud computing is explained as the use of hardware and software to deliver services to network users.
  • Google Cloud Platform is detailed as a set of cloud computing services by Google, running on the same infrastructure as YouTube and Gmail.
  • Pricing, speed, low latency, and big data capabilities are highlighted as key advantages of Google Cloud Platform.
  • Various services under GCP domains like compute, storage, networking, big data, developer tools, security, IoT, AI, and API platform are listed.
  • A federal use case involving Ferrero utilizing Google Cloud's BigQuery for data analysis and marketing strategy enhancement is presented.

21:06

Google Cloud Platform: Features, Pricing, Support

  • On the Google Cloud platform, you can find quick starts and Cloud Minute, along with Docs that lead to links showcasing solutions, use cases, and best practices.
  • The platform offers various feature products and services, including Compute Engine, Cloud Run, Anthos for migration, Vision AI, Cloud Storage, Cloud SQL, BigQuery, and AI and machine learning products like AutoML Vision AI and Text to Speech.
  • Different platform accelerators are available, with detailed guides on using featured products like Compute Engine for Linux machines, VM instances, storage, and documentation.
  • Pricing options for Google Cloud Platform (GCP) can be accessed, with details on infrastructure modernization solutions, VM migration, SAP Cloud, VMware as a service, and high-performance computing.
  • Detailed guides and how-to guides provide extensive information on working with Compute Engine, instances, and storage, offering a comprehensive understanding of Google Cloud.
  • The GCP pricing page displays costs for services like Compute Engine, networking, sole tenant nodes, GPUs, disks, images, and machine types, along with discounts and quotas.
  • The Google Cloud Console provides a GUI for accessing resources, enabling users to manage projects, view billing details, monitor activity, and enable/disable APIs and services.
  • The platform offers a wide range of APIs and services like Compute Engine, BigQuery, Cloud Data Proc, logging, monitoring, and Cloud SQL, which can be enabled as needed.
  • Support options are available for reaching out to Google's support team, along with features like identity access management, security, Anthos for migration, and various domains and services within Google Cloud.
  • The Google Cloud Platform console provides access to Cloud Shell for command-line operations, allowing users to work with the Cloud SDK on Windows machines, activate the Cloud Shell, and use commands like gcloud for managing projects and resources.

38:58

Google Cloud Platform Billing and Service Management

  • Google Cloud Platform offers various options for billing and managing services.
  • Beginners are advised to start with the console for easier service management.
  • Using the command line, one can create instances by typing commands like "gcloud compute instances create."
  • It is recommended to switch between using the console and the cloud shell based on experience level.
  • Instances on Google Cloud are hosted on Google's infrastructure within projects.
  • Instances can run public images for Linux or Windows servers, or custom images.
  • Each instance belongs to a Google Cloud Console project, with up to five VPC networks per project.
  • Compute Engine instances support launching applications using containers.
  • SSH keys can be associated with instances for secure access.
  • Instances can be created using the Google Cloud Console by selecting machine configurations, boot disks, and access scopes.

56:16

Connecting and Managing Instances in Google Cloud

  • To connect to an instance, use Putty and enter the public IP as the hostname, select SSH, browse for the PPK file, save the session, and open it.
  • If facing authentication issues, ensure SSH access is enabled, and use the correct username like "ssdu" instead of "ubuntu" in Putty.
  • Check network connectivity rules for any issues and adjust inbound and outbound rules as needed.
  • Once connected via SSH, you can log in as root and work on the Ubuntu machine, confirming the connection by checking available space.
  • In the Google Cloud console, review network details to see firewall rules like default allow HTTP, specifying IP ranges, protocols, and ports used.
  • To modify firewall rules, navigate to network details, create a new rule specifying name, traffic type, IP ranges, protocol, and apply it to the instance.
  • When done with the instance, stop or reset it for cleanup, ensuring to delete it to avoid unnecessary billing charges.
  • Instances can be connected using private files for SSH, allowing interaction between multiple machines.
  • Explore other options in the Google Cloud console like instance groups, templates, and disks for varied functionalities.
  • Utilize the command line tool "gcloud" to manage compute engine resources efficiently, initializing configurations and setting default regions and zones as needed.

01:14:18

"Google Cloud Compute Instances Management Guide"

  • Google Cloud Platform provides a region for all compute-related resources, with default settings available.
  • To explore Google Cloud Compute Instances options, use the command "gcloud compute instances" followed by "list" for a list of available instances.
  • For assistance, use "gcloud compute --help" to access different options and commands.
  • Commands like "list" can be further specified with "--format" to display information in JSON or text format.
  • Additional options like naming, regular expressions, zones, and filters can be utilized with the "list" command.
  • Create instances using "gcloud compute ssh" and specify a name, zone, and region.
  • Instances can be managed with commands like "create," "delete," "stop," and "start" from the command line.
  • Deleting an instance involves stopping it first, then confirming deletion.
  • Google Cloud Storage allows for data loading and uploading, accessible through the Cloud Storage browser.
  • Create a bucket using the Cloud Console or Cloud Shell with options for storage class, access control, and retention policies.

01:31:44

Google Cloud Platform: Efficient, Innovative Cloud Computing

  • Cloud storage can be accessed through Google Cloud SDK, Cloud Console, or Cloud Shell to create, upload, and download data, showcasing its ease of use.
  • Users can delete buckets easily by selecting and confirming the bucket name, utilizing commands like gsutil and delete from the command line.
  • The process involves creating a bucket, uploading data, downloading it, creating folders, and managing everything through gsutil tools via the command line.
  • Cloud computing is explained through a use case of Nina, who benefited from increased memory space, load balancing, and scalable servers.
  • Cloud computing utilizes hardware and software components offered as services accessed over a network, allowing for automatic integration, backup, and restoration of data.
  • Cloud computing offers on-demand self-service, broad network access, resource pooling, rapid elasticity, and measured services, enabling scalability and cost efficiency.
  • The trend of cloud computing evolved from colocation to virtualization to container-based architectures, offering various benefits for organizations.
  • Major cloud providers like Amazon AWS, Microsoft Azure, and Google Cloud Platform offer a range of services for organizations to modernize their infrastructure.
  • Google Cloud Platform stands out for its pricing, speed, live migration of apps, and innovative solutions in big data, AI, and machine learning.
  • Google Cloud Platform provides a range of cloud computing services across compute, storage, networking, big data, developer tools, security, IoT, AI, management, and data transfer solutions.

01:53:35

Cloud Computing Options and Advantages Compared

  • Sole tenant nodes are physical compute engine servers dedicated for specific user use cases, ideal for bring your own license applications.
  • Sole tenant nodes offer access to the same machine types and virtual machine configurations as regular compute instances.
  • Google Cloud provides various options for instances, including predefined machine types, custom machine types, preemptable VMs, live migration of VMs, persistent disks, local SSDs, GPU accelerators, and global load balancing.
  • Platform as a service offerings include Amazon's Elastic Beanstalk, Google's App Engine, AWS Lambda, Azure Functions, and Google Cloud's Cloud Functions.
  • Serverless computing is a model where the cloud service provider manages code without developers needing to handle infrastructure setup, management, or maintenance.
  • Serverless computing offers benefits like zero administration, auto-scaling, pay-as-you-go pricing, faster time to market, and dividing applications into functions for hosting across multiple service providers.
  • Object storage services include Amazon S3, Azure Blob Storage, and Google Cloud Storage, each offering scalable storage solutions.
  • Advantages of Amazon Web Services include enterprise-friendly services, easy resource access, speed, agility, security, and reliability.
  • Azure offers strong security, cost-effective solutions, and operational execution friendliness.
  • Google Cloud features better pricing, live migration of virtual machines, improved performance, redundant backups, and more, with disadvantages like support fees, complex pricing, and expensive data downloading.

02:14:02

Google Cloud Compute Engine Machine Types

  • Memory optimized and compute optimized machine types are available for memory-intensive and compute-intensive workloads, respectively.
  • General purpose machine configurations offer options like the N1 series, E2, N2, and N2D, with N1 selected in this instance.
  • Machine types can be chosen based on the applications to run, with default configurations showing one virtual CPU core and 3.5 gigabytes of RAM.
  • Features of the compute engine include live migration for VMs, preemptable virtual machines, and sole tenant nodes.
  • Boot disk options include selecting a distribution like Ubuntu, choosing a version, and deciding between standard persistent disks (HDDs) and SSDs.
  • Identity and API access management settings can be left as default, allowing HTTP and HTTPS traffic.
  • Connecting to machines can be done via SSH using Google Cloud Console or Cloud Shell, with the option to provide private and public keys.
  • Management settings include setting up reservations, providing startup scripts, and choosing preemptability for virtual machines.
  • On-host maintenance allows for live migration of VM instances during infrastructure maintenance without rebooting, ensuring application continuity.
  • Additional features of the compute engine include predefined machine types, custom machine types, preemptable VMs, GPU accelerators, and durable block storage options.

02:31:09

Google Cloud Platform Services and Features Overview

  • Google Cloud Platform (GCP) offers various commands for managing instances, changing metadata, regions, and adding startup scripts.
  • Compute Engine is a service within GCP, focusing on compute domain and services like storage and databases.
  • Storage options in GCP include table, data store, firestore, file store, SQL-based services, and object storage.
  • Object storage in GCP involves storing data with unique keys in buckets, allowing access via URLs.
  • Cloud Storage comprises buckets holding immutable objects, with options for IAM or ACL access control.
  • Object versioning in Cloud Storage creates new versions for changes, preventing old versions from being archived.
  • Creating a bucket in Cloud Storage involves naming, choosing storage location, class, access control, and encryption options.
  • Bigtable, a NoSQL database service in GCP, offers scalability, real-time access, and encryption of data.
  • Setting up a Bigtable instance involves naming, choosing storage type, region, zone, nodes, and replication guidance.
  • Bigtable is suitable for low-latency access, real-time analytics, and key-value pair storage, not for relational or OLAP use cases.

02:49:05

Comparing Google Cloud Database Services and Features

  • Firestore in data store mode services in EU3 takes a few minutes to set up, redirecting you to your database once ready.
  • Cloud Datastore and Cloud Bigtable pricing structures differ, with Cloud Datastore charging for monthly storage and Cloud Bigtable for cluster runtime.
  • Cloud Datastore is ideal for small data with infrequent access, while Cloud Bigtable is more cost-effective for large data with frequent access.
  • Switching to Cloud Firestore in native mode from an empty database offers more features and options.
  • Cloud Datastore offers various features for working with data, lacking some essential RDBMS features, leading to the creation of Cloud Spanner.
  • Creating an entity in Cloud Datastore involves specifying properties like default namespace, kind, numeric ID, and adding properties.
  • Cloud Spanner, a managed relational database service, supports strong consistency, SQL-based queries, multi-region deployment, and massive scalability.
  • Cloud SQL is another managed service for relational MySQL, PostgreSQL, and SQL Server databases, offering features like replication, patch management, and high storage capacity.
  • BigQuery, a data warehouse service, allows processing billions of rows in seconds, real-time analysis of streaming data, and cost-effective storage and querying.
  • Data Proc, a managed service for running Spark or Hadoop jobs, offers cluster management, integration with Google Cloud services, and cost-effective pay-as-you-go pricing.

03:06:58

Cloud Computing Platforms: AWS vs GCP Comparison

  • Google Cloud Platform (GCP) offers various options like Kubernetes, cloud functions, networking services, monitoring tools, and big data services, all with detailed documentation available on cloud.google.com.
  • GCP provides services like a real-time managed publish-subscribe messaging system, pioneering services like Kafka, and a wide range of services in compute, storage, databases, networking, big data, developer tools, AI, identity, security, and more.
  • AWS and GCP are compared in a "fight night" scenario, discussing their origins, features, performance, pricing, market share, and instance configurations.
  • AWS, with over 100 services, dominates the cloud computing market with 47% market share and extensive experience, while GCP, launched in 2011, offers cost-effective services and a growing number of services.
  • AWS and GCP pricing comparisons reveal GCP's cost-effective options, with a 25% annual cost reduction compared to AWS and cheaper cloud storage costs.
  • AWS leads in market share and service options, while GCP is steadily growing with over 60 services and attracting companies as a cloud service provider.
  • AWS offers free access to services for a year with usage limits, while GCP provides $300 in credit over 12 months and an "always free" version with usage limits.
  • Instance configurations differ, with AWS offering up to 128 CPUs and 40 TB RAM, while GCP offers up to 160 CPUs and 3.75 TB RAM, along with preemptable instances at 80% off.
  • Telemetry, application support, containers, and geographies are compared between AWS and GCP, highlighting their strengths and differences.
  • The decision between AWS and GCP depends on user or organizational requirements, emphasizing the need to choose the right cloud computing platform based on specific needs.

03:24:23

Google Cloud: Hosting Solutions for Lush Success

  • Google Cloud offers three types of web hosting: WordPress, LAMP stack, and the option to build your own website.
  • Lush, a global cosmetics retailer, faced website crashes due to high traffic on Boxing Day, leading to a devastating impact on their business.
  • Google Cloud Platform (GCP) provided a solution for Lush by offering flexibility, scalability, and rapid VM deployment on Google Compute Engine.
  • Lush optimized its infrastructure with GCP, resulting in improved availability during peak loads and a 40% reduction in hosting costs.
  • GCP's high-quality private network streamlined data center usage for Lush, providing a flexible architecture for future business growth.
  • Users can easily set up a VM instance on GCP by accessing the console, creating a new instance, choosing specifications like CPU, RAM, and disk size, and setting up security options.
  • Users can connect to their GCP instance using SSH from the console or an external client like Putty, ensuring secure access to the instance.
  • Firewall rules in GCP allow customization for incoming and outgoing traffic, ensuring secure communication for the hosted website or application.
  • Users can host a website on their GCP instance by installing services like Apache, creating HTML pages, and accessing the website through the public IP address.
  • GCP offers courses like CPB100 covering data processing capabilities, big data, and machine learning, providing training for data analysts, business analysts, and IT decision-makers.
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