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🔥Google Cloud InDepth Tutorial | Google Cloud Platform Tutorial 2022 | Cloud Computing | Simplilearn

Simplilearn・172 minutes read

Google offers various Google Cloud Platform services to meet the rising demand for cloud computing resources, including tutorials to clarify GCP concepts comprehensively in 2022, aimed at beginners and experienced users alike. Ultimately, Google Cloud's pricing, speed, AI services, and big data tools make it a popular choice for organizations seeking modernized infrastructure and services globally.

Insights

  • Google is a prominent technology developer, focusing on Google Cloud Platform (GCP) advancements to meet the growing cloud computing demand.
  • Simply Learn's 2022 tutorial comprehensively covers essential GCP services, comparing them with competitors like AWS and Azure, aiming to clarify GCP concepts.
  • Google Cloud offers diverse services in computing, storage, networking, big data, AI, and more, with a case study showcasing efficient data analysis for personalized marketing.
  • Google Cloud's modern infrastructure, pricing, speed, AI tools, and big data capabilities make it a popular choice, accessible through free trials and detailed documentation.
  • Beginners can start with Google Cloud Console for easier access before transitioning to command-line tools like 'gcloud' for service management and instance creation.
  • Google Cloud Platform provides various services like Compute Engine, Cloud Storage, BigQuery, and AI products, with detailed documentation and support options for user convenience.

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Recent questions

  • What is Google Cloud Platform (GCP)?

    Google Cloud Platform (GCP) is a suite of cloud computing services offered by Google, providing various resources like computing power, storage, and networking capabilities over the internet. GCP allows users to access and utilize these services remotely from any internet-connected device. It runs on the same infrastructure as Google's popular products like YouTube and Gmail, offering services for computing, storage, networking, big data, developer tools, identity and security, IoT, AI, and API platforms. GCP is known for its modernized infrastructure, pricing, speed, low latency network, big data tools, and AI services, making it a popular choice for organizations seeking cloud-based solutions.

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

    Google Cloud Platform (GCP) can be compared to other cloud service providers like Amazon Web Services (AWS) and Microsoft Azure in terms of features, performance, pricing, market share, and options. While AWS has been in the market longer and holds a larger market share with a wider range of services, Google Cloud Platform offers cheaper instances and a growing number of services. AWS dominates the cloud market share, but Google Cloud Platform is steadily growing and gaining popularity. Pricing comparisons show that Google Cloud Platform offers cheaper compute instances and cloud storage compared to AWS, making it a cost-effective option for organizations looking to leverage cloud services.

  • What are the benefits of serverless computing on Google Cloud Platform?

    Serverless computing on Google Cloud Platform (GCP) simplifies code management and auto-scales applications based on demand, offering several benefits to organizations. Serverless computing provides zero administration, auto-scaling capabilities, pay-as-you-go pricing models, and faster deployment timelines. By eliminating the need to manage servers and infrastructure, serverless computing allows developers to focus on writing code and building applications without worrying about the underlying infrastructure. This approach can lead to cost savings, improved scalability, and increased efficiency in application development and deployment processes.

  • How can Google Cloud Platform (GCP) help businesses with data analysis?

    Google Cloud Platform (GCP) offers various services and tools for scalable and reliable data processing, making it ideal for business intelligence, large-scale analytics, and machine learning. Companies like Spotify and Apple utilize GCP for their data needs due to its flexibility, scalability, and high security standards. GCP provides cloud databases, managed Hadoop and Spark services, as well as tools like Dataflow and Dataproc for processing large volumes of data efficiently. With GCP, businesses can leverage advanced data analytics capabilities to gain valuable insights, make informed decisions, and drive innovation in their operations.

  • What are the key features of Google Compute Engine on Google Cloud Platform?

    Google Compute Engine is a service offered by Google Cloud Platform (GCP) that provides compute resources and infrastructure for running virtual machines in the cloud. Key features of Google Compute Engine include predefined and custom machine types, preemptable VMs for cost-efficient resource usage, persistent disks, local SSDs, GPU accelerators, and global load balancing. Compute Engine allows users to create, manage, and scale virtual machine instances based on their specific requirements, offering flexibility, performance, and reliability for various workloads. By utilizing Google Compute Engine, organizations can modernize their infrastructure, optimize resource usage, and enhance their computing capabilities in the cloud.

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Summary

00:00

Google Cloud: Leading Technology Innovations in 2022

  • Google is a leading software and technology developer, introducing new technical advancements annually, particularly in the Google Cloud Platform (GCP).
  • Due to increased cloud usage, Google has introduced various GCP services globally to meet the rising demand for computing resources.
  • A new video tutorial on Google Cloud by Simply Learn covers crucial GCP services comprehensively in 2022.
  • The tutorial covers basics like understanding GCP, exploring services and infrastructure, comparing GCP with AWS and Azure, hands-on experience, GCP web hosting, Google machine learning, and GCP platform fundamentals.
  • The tutorial aims to clarify all GCP-related concepts with the help of an experienced GCP specialist.
  • Cloud computing involves using hardware and software to deliver services to network users, accessible from any internet-connected device.
  • Google Cloud Platform (GCP) offers various cloud computing services running on the same infrastructure as Google's popular products like YouTube and Gmail.
  • GCP provides services for computing, storage, networking, big data, developer tools, identity and security, IoT, AI, and API platforms.
  • A case study on Ferrero highlights how Google's BigQuery service helped the chocolate company analyze massive data sets efficiently, leading to personalized marketing strategies.
  • Google Cloud's pricing, speed, low latency network, big data tools, and AI services make it a popular choice for organizations seeking modernized infrastructure and services.

21:10

"Google Cloud: Free Trial, Services, Support"

  • Google Cloud services are accessible in a free trial account.
  • Documentation for services includes details on getting started, quick starts, trainings, and certifications.
  • Quick start page provides tutorials on various projects like creating a Linux virtual machine or deploying a Docker container image.
  • Featured products include Compute Engine, Cloud Run, Anthos, Vision AI, Cloud Storage, Cloud SQL, BigQuery, and AI and machine learning products.
  • Compute Engine offers quick starts, how-to guides, documentation, products, pricing, and solutions for infrastructure modernization.
  • Pricing details for services like Compute Engine include VM instance pricing, networking pricing, sole tenant nodes, GPU pricing, disk and image pricing, and machine types.
  • Google Cloud Console provides access to resources, billing information, APIs, and services like Compute Engine, BigQuery, and Cloud Data Proc.
  • APIs like Cloud Data Proc manage Hadoop clusters and jobs on Google Cloud Platform.
  • Support options include reaching out to Google support, identity access management, security features, and Anthos for migration.
  • Google Cloud services cover domains like compute, storage, networking, operations, big data, artificial intelligence, and other solutions for various needs.

39:08

"Google Cloud SDK Setup and Management"

  • Setting up the Cloud SDK allows access to it by checking the set path for Cloud SDK on a Windows machine.
  • Activating the Cloud Shell opens a terminal where project setup and metadata are automatically configured.
  • Logging into the Google Cloud account from the command line enables the use of 'gcloud' for various options.
  • Utilizing 'gcloud' provides access to different services and management options within the Google Cloud Platform.
  • Beginners are advised to initially use the console for easier service access before transitioning to the command line.
  • Creating instances on Google Cloud Platform can be done through commands like 'gcloud compute instances create'.
  • 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, with options for custom images and Docker containers.
  • Instances are associated with VPC networks for communication and can be managed using SSH keys and IAM roles.
  • Connectivity to instances can be established through SSH keys generated using tools like Putty, enabling secure access to the created VM instances.

56:25

Managing Virtual Machine Instances Effectively

  • Different options available for using a virtual machine later
  • Clicking on "c1" provides detailed instance information like instance id, machine type, CPU platform, zone, etc.
  • Editing details of the instance is possible by clicking on "edit"
  • Rest command equivalent for connecting to the instance via REST API can be viewed
  • Connecting to the instance using Putty involves providing the public IP and selecting a ppk file
  • Saving the session details in Putty for future use is recommended
  • Checking SSH access settings if connection issues arise
  • Checking inbound and outbound rules for network connectivity problems
  • Connecting to the machine using an external SSH client is feasible
  • Deleting instances to avoid unnecessary billing charges and cleaning up after usage

01:14:18

Managing Google Cloud Compute and Storage Efficiently

  • To remove a compute zone or region, use the command "gcloud config unset" on a Linux machine.
  • Alternatively, on a Linux machine, use the export command to set a zone or region by typing "export cloud sdk" followed by "compute_zone" or "compute_region."
  • You can also add the zone or region in your bashrc file if the cloud sdk is set up on your machine.
  • To view gcloud compute instances, use the command "gcloud compute instances list" or explore other options by typing "gcloud compute --help."
  • Commands like "list," "filter," and "format" can be used to manipulate the list of instances.
  • Create an instance using the command "gcloud compute instances create" followed by a name, which can be accessed and managed through commands like "stop" and "delete."
  • Google Cloud Storage can be utilized to store and manage data, with options to create buckets through the cloud console or cloud shell using commands like "gsutil mb."
  • When creating a bucket, choose a storage class based on usage, set access permissions, and configure retention policies if needed.
  • Upload data to a bucket by clicking on "upload files," selecting the file, and managing permissions for access.
  • Utilize commands like "gsutil copy" to transfer data between your local machine and the cloud storage bucket, enabling easy management and access to stored data.

01:31:48

"Cloud Computing Basics and Benefits Overview"

  • Use ls to list bucket contents, then specify bucket name with gs colon
  • Execute gsutil ls gs:/{bucket name} to list bucket content, e.g., my data important
  • Explore folders and files within the bucket using gsutil
  • Utilize cloud shell, Google Cloud SDK, or Cloud Console to manage buckets
  • Easily upload, download, and access data in cloud storage
  • Delete buckets using gsutil delete command or Cloud Shell
  • Create, upload, download, and manage data using gsutil tools
  • Google Cloud Platform (GCP) tutorial covers cloud computing basics and GCP benefits
  • Nina's website development company benefited from cloud computing for memory, traffic, and server challenges
  • Cloud computing offers on-demand resources, self-service, and cost efficiency for businesses

01:53:31

Google Cloud: Features, Benefits, and Case Study

  • Live migration on GCP allows VMs to migrate between host systems without rebooting, ensuring application continuity during maintenance.
  • Preemptable VMs offer cost-efficient resource usage, reducing virtual CPU and memory costs by up to 80% for non-critical workloads.
  • Sole tenant nodes provide dedicated physical servers for users, ideal for applications requiring specific machine types and configurations.
  • Google Cloud offers various instance options like predefined and custom machine types, preemptable VMs, persistent disks, local SSDs, GPU accelerators, and global load balancing.
  • Serverless computing, like AWS Lambda, Azure Functions, and Google Cloud Functions, simplifies code management and auto-scales applications based on demand.
  • Serverless computing benefits organizations by offering zero administration, auto-scaling, pay-as-you-go pricing, and faster deployment timelines.
  • Object storage services like Amazon S3, Azure Blob Storage, and Google Cloud Storage provide scalable and cost-effective data storage solutions.
  • AWS, Azure, and Google Cloud each offer unique advantages like enterprise-friendly services, strong security profiles, and improved pricing and performance.
  • Disadvantages of AWS, Azure, and Google Cloud include limitations in services, technical support fees, complex pricing, and network connectivity issues.
  • Domino's Pizza utilized Google Analytics Premium, Google Tag Manager, and BigQuery to increase monthly revenue by 6%, streamline marketing analysis, and save costs on ad serving and operations.

02:14:05

Creating and Managing Virtual Machine Instances

  • Click on "New VM Instance" from a template to access previously created templates for usage.
  • Access "Instance Templates" to create a new template for spinning up different instances.
  • Name the template and select machine configurations based on requirements.
  • Choose machine configurations like general purpose, memory optimized, or compute optimized.
  • Under general purpose, select from series like N1, E2, N2, and N2D, and choose machine types.
  • Select a distribution for the boot disk, like Ubuntu, and specify the boot disk type and size.
  • Configure identity and API access management settings for the instance.
  • Set up SSH access to the machines and provide startup scripts if needed.
  • Explore features like preemptable virtual machines, live migration, and sole tenant nodes.
  • Connect to the created instance using SSH, either through the Google Cloud Console or external SSH clients like Putty.

02:31:10

Options for Creating Instances in Google Cloud

  • Different options available for creating instances in Google Cloud Platform (GCP) include choosing an accelerator, boot disk, region, and zone.
  • GCP commands like gcloud allow for creating instances, changing metadata, and adding startup scripts via the command line.
  • Compute Engine is a GCP service that offers compute domain and GCP compute services.
  • Storage and databases are part of the storage domain in GCP, offering services like BigTable, Datastore, Firestore, and more.
  • Google Cloud Storage provides object storage where data is stored with unique keys in buckets, allowing access via URLs.
  • Object versioning in Google Cloud Storage creates new versions of objects or overrides old ones based on settings.
  • Creating a bucket in Google Cloud Storage involves choosing a unique name, region, storage class, access control, and encryption options.
  • BigTable, a NoSQL database service in GCP, allows for real-time access to large data sets and is used in services like Gmail and Google Maps.
  • Setting up a BigTable instance involves naming, choosing storage type, region, cluster nodes, and replication guidance.
  • BigTable is suitable for low latency access with large data sets, not ideal for relational databases or small data amounts.

02:49:08

Comparing Google Cloud Database Options and Features

  • Cloud Firestore offers offline support and the option to use Cloud Datastore on top of Firestore.
  • The API and scalability engine support are crucial factors to consider when choosing between Cloud Datastore and Cloud Bigtable.
  • Choosing the location of your database impacts cost, availability, and durability, with options like regional or multi-region locations.
  • Cloud Datastore is ideal for small data with infrequent access, while Cloud Bigtable is more cost-effective for large amounts of data and frequent access.
  • Cloud Spanner was created to address missing features of RDBMS in Cloud Datastore, offering strong consistency and scalability.
  • Cloud Datastore allows creating entities with properties, but some essential RDBMS features are still missing.
  • Cloud SQL is a fully managed service for relational databases like MySQL, PostgreSQL, and SQL Server, offering high storage capacity and performance.
  • BigQuery is a data warehouse service for running queries and analyzing streaming data, with features like processing billions of rows in seconds.
  • Data Proc is a managed service for running Spark or Hadoop jobs, providing fast and integrated cluster management for big data workloads.
  • Access to different storage options like Cloud Storage, Google Drive, and Cloud Datastore allows for loading data into BigQuery and running queries efficiently.

03:07:04

Comparing Google Cloud Platform and AWS Services

  • Google Cloud Platform allows for passing arguments, adding properties, and submitting jobs on a ready-to-use cluster.
  • Testing can be done before deleting to avoid incurring costs on managed services.
  • Google Cloud Platform offers various services like Kubernetes, cloud functions, networking, monitoring, and big data-specific services.
  • Detailed documentation is available for each service offered by Google Cloud Platform.
  • Google Cloud Platform provides services in compute, storage, databases, networking, big data, developer tools, AI, security, IoT, and more.
  • AWS and Google Cloud Platform are compared in terms of origin, features, performance, pricing, market share, and options.
  • AWS has been in the market longer, with a larger market share and more services, while Google Cloud Platform offers cheaper instances and a growing number of services.
  • AWS dominates the cloud market share, but Google Cloud Platform is steadily growing.
  • Pricing comparison shows Google Cloud Platform offering cheaper compute instances and cloud storage compared to AWS.
  • Google Cloud Platform provides telemetry tools, better application support, and native support for containers like Kubernetes, making it flexible and cost-effective.

03:24:24

Google Cloud Platform: Infrastructure, Security, Scalability, Web Hosting

  • Google Cloud Platform (GCP) offers infrastructure similar to Google's own, allowing remote work with an internet connection and access to various web services for collaboration.
  • GCP provides high security, encryption, and reliability, reducing data vulnerability and offering scalability at a cost-effective rate.
  • GCP offers three types of web hosting: WordPress, LAMP (Linux, Apache, MySQL, PHP), and the option to build a custom website directly on Compute Engine.
  • A case study on Lush cosmetics showcases how GCP's flexibility and scalability helped them overcome website crashes during peak traffic, leading to cost savings and improved availability.
  • The use of Google Compute Engine's auto-scaling feature improved availability during peak loads and reduced hosting costs by 40% for Lush cosmetics.
  • Setting up a VM instance on GCP involves selecting region, machine type, distribution, disk size, and configuring firewall rules for access.
  • Hosting a website on GCP involves installing Apache, creating HTML pages, and configuring firewall rules to allow HTTP access to the website.
  • The Google Cloud Platform offers cloud databases, managed Hadoop and Spark services, and tools like Dataflow and Dataproc for scalable and reliable data processing.
  • Google Cloud Platform is popular for business intelligence, large-scale analytics, and machine learning, with companies like Spotify and Apple using it for their data needs.
  • Simply Learn offers a course on Google Cloud Platform covering data processing capabilities, machine learning, and BigQuery, providing hands-on training for data analysts, business analysts, and IT decision-makers.

03:43:20

Engage with Experts on YouTube Videos

  • Viewers can ask questions in the comment section for assistance from experts on the topics covered in the video.
  • Encouragement to subscribe to the Simply Learn YouTube channel for more videos and to click for similar content.
  • Mention to turn up the volume and get certified by clicking on a specific link.
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