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

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The video provides a comprehensive course on Google Cloud platform, covering basic concepts, hands-on demonstrations, and deeper topics like web hosting and Cloud ML, led by an experienced specialist. Google Cloud stands out for its pricing plans, speed, innovative solutions like BigQuery, and comprehensive suite of tools and services, attracting organizations to modernize their infrastructure.

Insights

  • Google Cloud Platform (GCP) is a comprehensive service covering domains like compute, storage, networking, and IoT, with hands-on demonstrations and comparisons with AWS and Azure.
  • GCP offers innovative solutions like web hosting and Cloud ML, led by experienced specialists aiming to educate viewers on key aspects of the platform.
  • Cloud computing, defined as internet-accessible service delivery via hardware and software, offers various service models like PaaS, IaaS, and SaaS, with Google Cloud's pricing plans and high-speed services standing out.
  • Big data tools and machine learning services within GCP are highlighted as cutting-edge solutions, with detailed domains spanning compute, storage, networking, big data, and more.
  • Google Cloud's case studies, like Ferrero's use of BigQuery for data analysis, showcase practical applications, while detailed guides, documentation, and a user-friendly interface enhance accessibility.
  • Google Cloud's infrastructure, instance management, and pricing options, along with a comparison to AWS and Azure, emphasize the platform's strengths in speed, performance, and innovative solutions.

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Recent questions

  • What is cloud computing and its service models?

    Cloud computing involves using hardware and software to deliver services over the internet. Service models include PaaS, IaaS, and SaaS, offering on-demand resources and automatic software integration.

  • How does Google Cloud pricing work?

    Google Cloud offers monthly billing based on usage, with discounts for committed usage. Pricing plans are popular for their flexibility and cost-effectiveness.

  • What are the key domains of Google Cloud platform?

    Google Cloud domains include compute, storage, networking, big data, developer tools, identity and security, IoT, AI, and API platform services, providing a comprehensive suite of tools and solutions.

  • How does Google Cloud compare to AWS and Azure?

    Google Cloud is compared to AWS and Azure, highlighting differences in pricing, speed, performance, and innovative solutions for Big Data and AI, making it a competitive cloud computing platform.

  • How can beginners start using Google Cloud?

    Beginners can start with the user-friendly console for easier access to services, or use the command line for direct access to documentation. Starting with the console is recommended for beginners, with options to use Cloud Shell for command line access.

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Summary

00:00

"Google Cloud Platform: Comprehensive Course Overview"

  • The video is a comprehensive course on Google Cloud platform, covering basics like what GCP is and its domains including compute, storage, networking, and IoT.
  • Hands-on demonstrations are provided for these services, followed by a comparison of GCP with AWS and Azure to highlight differences.
  • Deeper concepts like GCP web hosting and Cloud ML are explored, leading to fundamental understanding and certification training.
  • The session is led by an experienced GCP specialist, aiming to educate viewers on key aspects of Google Cloud platform.
  • Cloud computing is defined as the use of hardware and software to deliver services accessible via the internet, with various service models like PaaS, IaaS, and SaaS.
  • Google Cloud platform is popular due to its pricing plans, offering monthly billing based on usage and discounts for committed usage.
  • Google's services boast high speed, with connections across major cities and hubs, ensuring low latency and high throughput for customer satisfaction.
  • Big data tools like BigQuery and machine learning services are highlighted as innovative solutions within Google Cloud platform.
  • GCP domains are detailed, covering compute, storage, networking, big data, developer tools, identity and security, IoT, AI, and API platform services.
  • A case study on Ferrero showcases how Google Cloud's BigQuery facilitated efficient data analysis, enabling personalized marketing strategies and cost-effective media strategies.

21:22

Google Cloud: Comprehensive Solutions for Users

  • Google Cloud offers a variety of quick starts, documentation, and solutions for users to explore.
  • Users can access different feature products and services on Google Cloud, including Compute Engine, Cloud Run, Anthos, Vision AI, Cloud Storage, Cloud SQL, BigQuery, and AI and machine learning products.
  • Detailed guides and documentation are available for featured products like Compute Engine, providing information on Linux machines, VM instances, storage, and more.
  • Infrastructure modernization solutions are highlighted for organizations transitioning from on-premise to cloud-based solutions.
  • Pricing information for Google Cloud services, including compute engine, networking, GPU pricing, disk and image pricing, and machine types, is accessible for users to review.
  • Users can explore different pricing options, discounts, reservations, quotas, and limits for various resources on Google Cloud.
  • The Google Cloud console provides a user-friendly interface for managing projects, enabling APIs, monitoring activity, and accessing billing information.
  • Users can enable and disable APIs for services like Compute Engine, BigQuery, Cloud Data Proc, and Cloud Storage to suit their needs.
  • Support options, identity access management, security features, and migration tools like Anthos are available for users to utilize.
  • Google Cloud offers a wide range of services across domains like compute, storage, networking, operations, big data, artificial intelligence, and more, providing users with a comprehensive suite of tools and solutions.

39:14

Managing Google Cloud: Console vs Command Line

  • Google Cloud offers various options for users to manage their Google Cloud platform, including billing and services.
  • Beginners are advised to start with the console for easier access to services, but can also use the command line like 'gcloud create instances' for direct access to the Cloud console documentation.
  • Users can work on Google Cloud using Cloud Shell from the command line, but starting with the console is recommended for beginners.
  • Different tasks are easier to perform from the command line or the console, and users can choose the method that suits them best.
  • Instances on Google Cloud are hosted on Google's infrastructure and belong to specific projects within the Google Cloud console.
  • Instances can run public images for Linux or Windows servers, or custom images and Docker containers for optimized performance.
  • Each instance has a boot persistent disk containing the OS, with the option to add more storage space as needed.
  • Projects can have up to five VPC networks for resource organization, with instances communicating through local area network protocol or the internet.
  • Compute engine instances support launching applications using containers, with options to create VM instances or templates and associate SSH keys for access.
  • Users can create Google Cloud instances from the console by selecting machine configurations, disk types, and access scopes, and can connect to instances using SSH keys generated through tools like Putty.

56:32

Connecting to Google Cloud Instance via SSH

  • Use the REST command to connect to the instance via the REST API, copying the public IP for Putty connection.
  • In Putty, set the hostname as Ubuntu and input the IP address, then proceed to SSH and authentication.
  • Browse for the PPK file created earlier, select it, save the session as "my instance one," and open the connection.
  • Encounter an authentication error due to SSH access not being enabled, prompting a check on the settings.
  • Correct the username to "sdu" in Putty, save the session, and successfully connect to the instance.
  • Check network connectivity rules for any issues and ensure proper inbound and outbound rules.
  • Access the machine as the "hdu" user, switch to root, and confirm connectivity and available space.
  • Review network details to understand and potentially modify firewall rules for specific protocols and IP ranges.
  • Stop, reset, or delete the instance as needed, with reset cleaning up the machine without deleting it entirely.
  • Explore using external SSH clients like Putty to connect to instances, and navigate through different Google Cloud services like instance groups and templates.

01:14:30

Google Cloud Compute Instances: A Beginner's Guide

  • Default settings for compute resources are already provided.
  • Use "gcloud compute instances" to access options.
  • Use "gcloud compute instances list" to view available instances.
  • Customize output format with "gcloud compute instances list --format".
  • Utilize filters and other commands like "name", "regular expression", "Zone", and "filter".
  • Create instances with "gcloud compute instances create [name]".
  • Connect to instances using SSH.
  • Manage instances with commands like "stop" and "delete".
  • Explore Google Cloud Storage options for data loading and uploading.
  • Create buckets using Cloud Console or Cloud Shell with specific settings like region and storage class.

01:31:53

Google Cloud Platform: Efficient Cloud Computing Solutions

  • Cloud storage options include using Cloud shell, Google Cloud SDK, or Cloud console to create, upload, and download data.
  • Free or paid accounts can easily delete buckets by confirming the bucket name through GS util or a delete command from the command line.
  • GS util tools allow listing, creating, and deleting buckets, as well as managing folders from the command line.
  • Cloud computing involves using hardware and software components as services accessed over a network, offering on-demand resources and automatic software integration.
  • Cloud computing provides on-demand self-service, broad network access, resource pooling, rapid elasticity, and measured services for pay-as-you-go models.
  • Cloud computing's compelling model attracted organizations to modernize infrastructure, with various cloud providers like Amazon, Microsoft, Google, and others offering services.
  • Google Cloud Platform (GCP) offers better pricing, speed, performance, live migration of apps, and innovative solutions for Big Data and AI compared to competitors.
  • GCP provides Cloud Computing Services running on Google's infrastructure, offering benefits like high productivity, security, flexibility, and cost-effective solutions.
  • GCP services cover compute, storage, networking, Big Data, developer tools, security, IoT, AI, management tools, and data transfer solutions.
  • Google's infrastructure includes physical data centers, a strong backbone network, global redundant backbone network points of presence, global regions, zones, and global resources.

01:53:45

Google Cloud: Efficient, Flexible, and Scalable Solutions

  • Preemptable virtual machines can be accessed anytime and are ideal for efficient resource usage.
  • Soul tenant nodes are physical servers dedicated exclusively for users' use cases, particularly beneficial for bring your own license applications.
  • Google Cloud offers various instance options, including predefined and custom machine types, preemptable VMs, live migration, persistent disks, local SSDs, and GPU accelerators.
  • Global load balancing is a unique feature of Google Cloud, distinguishing it as a platform as a service provider.
  • AWS Lambda and Azure Functions are serverless compute services, while Google Cloud offers Cloud Functions for running code in the cloud with high availability.
  • Serverless computing is advantageous for organizations seeking to scale dynamically without managing infrastructure, decomposing applications into microservices for flexibility.
  • Object storage services like Amazon S3, Azure Blob Storage, and Google Cloud Storage offer scalable and accessible data storage solutions.
  • AWS, Azure, and Google Cloud each have distinct advantages and disadvantages, such as pricing, performance, and service offerings.
  • Domino's Pizza utilized Google Analytics Premium, Google Tag Manager, and BigQuery to increase monthly revenue by six percent through streamlined marketing measurement and cross-channel analysis.
  • Google Cloud Platform offers a wide range of services across domains like compute, storage, and networking, providing scalable and high-performance solutions for various use cases.

02:14:09

Google Cloud Machine Configurations and Features

  • Different machine configurations are available, including general purpose, memory optimized, and compute optimized.
  • Under general purpose, options like N1, E2, N2, and N2d series are available for selection.
  • Machine types can be chosen based on the applications to be run, with default configurations like one virtual CPU core and 3.5 gigabytes of memory.
  • Features like live migration for VMs, preemptable virtual machines, and sole tenant nodes are offered.
  • Boot disk distributions like Ubuntu can be selected, with options for standard persistent disks or SSDs.
  • Identity and API access management settings can be left as default for HTTP and HTTPS traffic.
  • SSH access can be set up using Google Cloud console or private/public keys.
  • Management options include reservations, startup scripts, preemptability, and on-host maintenance.
  • Sole tenancy nodes can be chosen for dedicated physical compute engine servers.
  • Networking settings like auto subnet and disk configurations can be customized.

02:31:18

Google Cloud Services Overview: Compute, Storage, Bigtable

  • Two instances were created in Europe West 3 and Europe West 4, both with internal and external IPs.
  • G Cloud offers commands to work with instances, change metadata, region, and add startup scripts.
  • Google Cloud's Compute Engine provides services for compute domain.
  • Google Cloud's storage domain offers services like Bigtable, Datastore, Firestore, Filestore, SQL-based services, and object storage.
  • Object storage in Google Cloud is accessed through unique keys in the form of URLs.
  • Cloud storage consists of buckets to store immutable objects, with options for access control via IAM or ACL.
  • Object versioning in Cloud storage creates new versions for changes, overriding old ones.
  • Creating a bucket involves choosing a unique name, location type, storage class, access control, and encryption.
  • Bigtable is a NoSQL database service by Google, offering scalability, encryption, and IM roles for access control.
  • Bigtable is suitable for low-latency access with data over one terabyte, not ideal for relational databases or large individual elements.

02:49:13

Google Cloud Services Overview: Key Features & Pricing

  • To initialize Cloud Firestore in Datastore mode services in EU3, it takes a few minutes before redirecting to the database.
  • Cloud Datastore involves paying for monthly storage, while Cloud Bigtable requires payment for reads, writes, and cluster running.
  • Cloud Datastore is suitable for small data with infrequent access, while Cloud Bigtable is more cost-effective for large data with frequent access.
  • Cloud Firestore in Native mode offers additional features for an empty database in Cloud Datastore.
  • Google introduced Cloud Spanner to address missing features of RDBMS in Cloud Datastore.
  • Cloud Datastore allows creating entities with properties like default namespace, kind, numeric ID, and properties.
  • Cloud SQL is a fully managed service for relational databases like MySQL, PostgreSQL, and SQL Server on Google Cloud.
  • BigQuery is a data warehouse service for processing billions of rows in seconds, offering real-time analysis of streaming data.
  • BigQuery pricing is based on storage costs (0.02 cents per GB per month) and querying costs after the free one terabyte per month.
  • Data Proc is a managed service for running Spark or Hadoop jobs, integrated with Google Cloud services for efficient big data processing.

03:07:07

Comparing Google Cloud Platform and AWS Services

  • Google Cloud platform offers a variety of options such as Kubernetes, Cloud functions, networking services, monitoring services, and various tools.
  • Detailed documentation is available for each service, like the real-time managed service for published-subscribed messaging systems.
  • Access the Google Cloud platform services at cloud.google.com, where you can explore featured products, domains, and services.
  • Featured products include compute engine, Cloud run, cloud storage, Cloud SQL, bigquery, Vision AI, artificial intelligence, machine learning, and more.
  • Create a free account to experiment with different services, connect to them, input data, or utilize managed services for data management.
  • A comparison between Google Cloud platform and Amazon Web Services (AWS) is discussed, highlighting their origins, features, performance, pricing, market share, and free offerings.
  • AWS has been in the market since 2004, with over 100 services and a significant market share, while Google Cloud platform, launched in 2011, offers cost-effective services and is rapidly growing.
  • AWS dominates the cloud computing market share, with Google Cloud platform steadily increasing its services and market presence.
  • AWS and Google Cloud platform are compared in terms of pricing, market share, free offerings, instance configurations, telemetry, application support, containers, and geographical coverage.
  • The decision between AWS and Google Cloud platform depends on individual or organizational requirements, emphasizing the need to choose the right cloud computing platform based on specific needs.

03:24:28

Google Cloud Platform: Security, Hosting, Data Processing

  • Google Cloud Platform (GCP) offers security mechanisms, reducing data vulnerability and increasing reliability, flexibility, scalability, and cost-effectiveness.
  • GCP provides three types of web hosting: WordPress, LAMP (Linux, Apache, MySQL, PHP), and the option to build a custom website directly on Compute Engine.
  • A use case example with Lush, a global cosmetics retailer, showcases how GCP's flexibility and scalability helped them overcome website crashes during peak traffic times.
  • Lush's migration to GCP resulted in improved availability during peak loads, a 40% reduction in hosting costs, and streamlined data center usage.
  • Setting up a VM instance on GCP involves selecting region, machine type, distribution, disk size, and configuring firewall rules for HTTP and HTTPS access.
  • Connecting to the VM instance can be done through the console or external SSH client like Putty, with the option to customize firewall rules for incoming and outgoing traffic.
  • Hosting a website on the VM instance involves installing Apache server, creating and replacing an index.html file in the /var/www/html directory, and testing the website's accessibility.
  • The Google Cloud Platform offers data processing capabilities through tools like Dataflow, Dataproc, Data Lab, BigQuery, and Cloud Machine Learning, making it popular among technology giants like Spotify and Apple.
  • The course CPB 100 covers Google Cloud Platform fundamentals, data processing capabilities, and machine learning, providing real-world use case studies and instructor-led training.
  • The course is designed for data analysts, business analysts, data scientists, and IT decision-makers evaluating GCP, offering hands-on experience and preparation for Google data engineer certifications.
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