🔥Google Cloud InDepth Tutorial | Google Cloud Platform Tutorial 2023 | Cloud Computing | Simplilearn

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Google Cloud is a leading technology developer offering various services and solutions, including Google Cloud Platform (GCP) providing crucial GCP services and concepts for 2022 in depth. The platform offers tutorials, hands-on experience, and case studies on Google Cloud services, web hosting, machine learning, and more, making it a valuable resource for modernizing infrastructure.

Insights

  • Google is a prominent technology developer known for introducing new advancements regularly.
  • The Google Cloud platform has experienced a surge in usage due to the growing demand for computing resources.
  • A detailed video tutorial by Simply Learn covers essential GCP services and concepts for 2022, starting from the basics and progressing to advanced topics.
  • The tutorial includes insights on GCP web hosting, machine learning, and fundamental platform concepts, guided by an experienced GCP specialist.
  • Google Cloud offers a wide array of services spanning computing, storage, networking, big data, developer tools, security, AI, and IoT platforms.
  • Google Cloud's BigQuery facilitated improved marketing strategies and customer engagement for Ferrero through data analysis, showcasing practical applications of GCP services.

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Recent questions

  • What are the key services offered by Google Cloud Platform?

    Google Cloud Platform offers services for computing, storage, networking, big data, developer tools, identity and security, IoT, AI, and API platforms. These services cater to various needs of businesses and individuals looking to leverage cloud technology for their operations.

  • How does Google Cloud pricing work for compute engine instances?

    Google Cloud provides pricing details for compute engine instances, including VM instance pricing, networking pricing, GPU pricing, disk and image pricing. Users can choose configurations based on their requirements and budget, with options for managing costs effectively.

  • What are the advantages of using serverless computing services?

    Serverless computing services like AWS Lambda, Azure Functions, and Google Cloud Functions offer benefits such as zero administration, auto-scaling, pay-per-use models, and rapid idea-to-implementation timelines. These services streamline backend code execution and scalability, ideal for organizations seeking efficient and dynamic architectures.

  • How does Google Cloud Storage facilitate data management?

    Google Cloud Storage allows users to create buckets for storing data, upload files, organize data within buckets, and manage access permissions. With different storage classes available, users can choose the most suitable option based on their data access frequency and cost considerations.

  • What are the key features of Google Cloud's BigQuery service?

    BigQuery is a data warehouse service by Google Cloud that enables processing billions of rows in seconds and real-time analysis of streaming data. It supports standard SQL queries, offers low storage costs, and charges for data querying after a certain free limit. BigQuery is a powerful tool for organizations handling large datasets and requiring quick insights.

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Summary

00:00

"Google Cloud Tutorial: GCP Services Explained"

  • Google is a leading software and technology developer, introducing new technical advancements annually.
  • The Google Cloud platform has seen increased utilization due to high demand for computing resources.
  • A new video tutorial on Google Cloud by Simply Learn covers crucial GCP services and concepts in-depth for 2022.
  • The tutorial starts with basics, explaining what GCP is, followed by exploring GCP services and infrastructure.
  • A comparison between GCP, AWS, and Azure is provided, along with hands-on experience with GCP.
  • The tutorial delves into GCP web hosting, Google machine learning with demonstrations, and Google Cloud platform fundamentals.
  • An experienced GCP specialist guides viewers through key GCP concepts in the video tutorial.
  • Cloud computing involves using hardware and software to deliver services to network users via the internet.
  • Google Cloud platform offers various 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 Cloud's BigQuery helped analyze massive data sets for improved marketing strategies and customer engagement.

21:14

Google Cloud Services Pricing and Documentation Summary

  • Services pricing details available in free trial account
  • Documentation on each service accessible
  • Quick start section includes tutorials, trainings, certifications
  • Quick start page shows tutorials on projects, creating Linux VM, deploying Docker container
  • Cloud minute section offers docs on solutions, products, services
  • Featured products list includes compute engine, Cloud run, anthos, Vision AI, cloud storage, Cloud SQL, bigquery, AI and machine learning products
  • Compute engine section provides quick starts, how-to guides, documentation, pricing options
  • Infrastructure modernization section offers case studies, solutions for moving to Google Cloud
  • Pricing details available for compute engine, including VM instance pricing, networking pricing, GPU pricing, disk and image pricing
  • Google Cloud console dashboard shows project details, activity history, API services, support options, networking services, big data services, artificial intelligence services, and other Google Solutions.

39:10

"Setting up Google Cloud SDK for Windows"

  • Setting up Google Cloud SDK on Windows machine allows access to Cloud Shell and command line.
  • Cloud Shell opens a terminal for project setup and metadata configuration.
  • Accessing Google Cloud account through command line enables usage of gcloud commands.
  • Initial learning of Google Cloud services is recommended through console for ease.
  • Command line usage demonstrated with gcloud compute instances create command.
  • Instances on Google Cloud can be managed through Google Cloud console or Cloud Shell.
  • Instances are hosted on Google's infrastructure and belong to specific projects.
  • Instances can run public images or custom images, including Docker containers.
  • Connectivity to instances can be established through SSH keys or Cloud console.
  • Creating VM instances on Google Cloud involves selecting machine configurations, disk types, and access scopes.

56:28

Managing Virtual Machines in Google Cloud Console

  • Different options available for managing virtual machines, including stopping and importing them for later use.
  • Accessing detailed information about instances by clicking on "C1" to view instance ID, machine type, CPU platform, zone, and other details.
  • Editing instance details by clicking on "edit" and changing them as needed.
  • Viewing the equivalent REST command to connect to the instance using the REST API.
  • Connecting to the instance using Putty by entering the hostname and public IP, selecting the PPK file for authentication, and saving the session.
  • Managing network details, including firewall rules for Ingress and Egress, specifying IP ranges, protocols, and ports for services like RDP or SSH.
  • Creating firewall rules for specific protocols to enable access to or from external services.
  • Stopping, resetting, or deleting instances to manage resources efficiently, with reset cleaning up the machine without deleting it.
  • Using external SSH clients like Putty to connect to instances, accessing and working on the Ubuntu machine.
  • Exploring other options in the Google Cloud console, such as instance groups, templates, disks, snapshots, and creating VM instances using the command line tool "gcloud."

01:14:13

Managing Google Cloud Instances and Storage Efficiently

  • Use the command "gcloud" to change configuration settings or set defaults, such as removing a compute zone or region.
  • On a Linux machine, utilize the export command to set compute zone or region, or add it to the bashrc file.
  • Explore options for managing compute instances with commands like "gcloud compute instances list" or "gcloud compute instances help."
  • Create an instance using the command "gcloud compute instances create" followed by specifying a name, which sets the Zone, machine type, IP addresses, etc.
  • Manage instances with commands like "stop" or "delete" to control their status and ultimately remove them.
  • Utilize Google Cloud Storage by creating a bucket through the Cloud Console or Cloud Shell with commands like "gsutil mb" to specify storage class, region, and access permissions.
  • Upload data to the created bucket by clicking on "upload files," selecting the desired data, and setting permissions for access.
  • Organize data within the bucket by creating folders, uploading specific data to these folders, and managing retention policies for objects.
  • Access Google Cloud Storage through the Cloud Console or Cloud Shell using commands like "gsutil" to interact with buckets, upload or download data, and manage transfers.
  • Refer to the Quick Start guide for GS Util tool to create buckets, upload data, and copy files between local machines and buckets using commands like "gsutil copy."

01:31:39

Cloud Storage Management with Command Line

  • Download files to desktop using command line
  • Copy object to a folder in a bucket by creating a specific folder
  • List bucket contents using LS and specify bucket name with GS colon
  • Use GS util to list bucket contents by providing bucket name
  • Create, upload, and delete data in a bucket using Cloud SDK or Cloud console
  • Delete a bucket by confirming bucket name with GSutil delete command
  • Google Cloud Platform (GCP) allows easy data upload, download, and management
  • Cloud storage enables quick data accessibility and manipulation
  • Cloud computing benefits include on-demand resources, automatic integration, and cost efficiency
  • Cloud providers like AWS, Azure, and GCP offer various services and solutions

01:53:25

Comparing Cloud Services: Features, Benefits, and Drawbacks

  • Google Cloud offers instances with various options, including live migration for VMS within the GCP, allowing for seamless migration between host systems without rebooting, ensuring application continuity during maintenance.
  • Preemptable virtual machines on Google Cloud enable cost-efficient resource usage, reducing virtual CPU and memory costs by up to 80% for non-critical workloads, though they can be terminated at any time.
  • Sole tenant nodes on Google Cloud are dedicated physical compute engine servers for exclusive user use cases, ideal for applications requiring specific machine types and configurations.
  • Google Cloud provides various instance options like predefined and custom machine types, preemptable VMS, live migration, persistent disks, local SSDs, GPU accelerators, and global load balancing, catering to diverse use cases.
  • Amazon's Elastic Beanstalk offers platform-as-a-service for deploying and maintaining applications, Azure Cloud Service simplifies application code writing without hardware concerns, and Google App Engine hosts applications on Google's data centers.
  • Serverless computing services like AWS Lambda, Azure Functions, and Google Cloud Functions automate backend code execution, scaling as needed, ideal for organizations seeking dynamic, scalable architectures without upfront infrastructure planning.
  • Serverless computing offers zero administration, auto-scaling, pay-per-use models, and rapid idea-to-implementation timelines, eliminating infrastructure management concerns for organizations facing fluctuating application demands.
  • Object storage services like Amazon S3, Azure Blob Storage, and Google Cloud Storage provide scalable, reliable storage solutions with tiered storage options based on data access frequency.
  • Google Cloud's advantages include competitive pricing, live VM migration, improved performance, and redundant backups, appealing to organizations seeking modernized infrastructure with minimal disruptions.
  • Disadvantages of AWS, Azure, and Google Cloud include limitations in services, technical support fees, network connectivity issues, complex pricing structures, and data transfer costs, highlighting the need for careful consideration when choosing a cloud provider.

02:13:57

"Google Cloud VM Instance Configuration Guide"

  • To access VM instances in Google Cloud, log in to the console and click on VM instances.
  • Instance templates can be created to quickly spin up instances, offering pre-configured options.
  • Creating a new VM instance from a template involves selecting machine configurations like general purpose, memory optimized, or compute optimized.
  • Machine configurations further include options like N1 series, E2, N2, and n2d, with choices for CPU cores and memory.
  • Boot disk selection involves choosing a distribution like Ubuntu, version, and disk type (standard persistent disk or SSD).
  • Identity and API access management settings can be left as default or customized based on service requirements.
  • Management options include setting up reservations, providing startup scripts, and selecting preemptability for cost-effective virtual machines.
  • Networking settings default to auto subnet but can be customized for specific IP requirements.
  • Security measures involve SSH access using public and private keys, with options for PPK or PEM files for external SSH clients.
  • Compute Engine features include predefined machine types, custom machine types, preemptable VMs, live migration, durable block storage, GPU accelerators, and billing in second-level increments.

02:31:03

Managing Google Cloud Instances and Storage Options

  • To manage instances, you can stop, delete, or create them using specific commands.
  • The create command requires an instance name, accelerator choice, boot disk selection, and other options.
  • After creating an instance, you can list them to view details like region, zone, and IP addresses.
  • gcloud commands enable various actions like creating instances, changing metadata, or adding startup scripts.
  • Google Cloud Platform offers storage services like Bigtable, Datastore, Firestore, Filestore, SQL-based services, and object storage.
  • Object storage in Google Cloud involves storing data with unique keys in buckets, allowing access via URLs.
  • Cloud Storage offers different storage classes like standard, nearline, coldline, and archival, each with varying costs and use cases.
  • When creating a bucket in Cloud Storage, you choose a unique name, location type, storage class, access control, and encryption options.
  • Cloud Storage allows uploading files, setting permissions, editing metadata, and exporting data to other services like Cloud Pub/Sub.
  • Bigtable, a NoSQL database service, offers low latency, scalability, encryption, and replication across regions for high availability.

02:48:58

Comparing Google Cloud Database Services

  • Services were added to or on top of a big table, leading to the creation of a new service called cloud data store.
  • Cloud data store offers options like cloud firestore mode for native mode with offline support or cloud data store system on top of cloud firestore.
  • The API and scalability engine support are crucial factors to consider when choosing between cloud data store and cloud bigtable.
  • Pricing structures differ between cloud data store and cloud bigtable, with cloud data store being more cost-effective for small data and infrequent access.
  • Cloud spanner was introduced by Google to address missing features in cloud data store, offering strong consistency and scalability for relational schema.
  • Cloud spanner is a managed, globally consistent, and scalable relational database service that supports SQL-based queries and multi-region deployment.
  • Cloud SQL is another managed service by Google for relational MySQL, postgres, and SQL Server databases, offering features like replication and patch management.
  • BigQuery is a data warehouse service by Google Cloud that allows processing billions of rows in seconds and real-time analysis of streaming data.
  • BigQuery supports standard SQL and offers low storage costs, charging for querying data after a certain free limit.
  • Data proc is a managed service for running spark or Hadoop jobs, integrated with Google Cloud services, offering fast and cost-effective big data processing.

03:06:51

Google Cloud Platform: Services, Features, Comparison, Debate

  • Choose a region, like Europe West 4, for running jobs such as Hadoop, Spark, Hive, Pig, etc.
  • Submit your job with a jar file, arguments, properties, and other jar files on the ready-to-use cluster.
  • Explore Google Cloud Platform's services through the console or command line.
  • Access options like Kubernetes, Cloud Functions, networking services, monitoring tools, and more.
  • Google Cloud offers detailed documentation on various services like publish-subscribe messaging systems.
  • Visit cloud.google.com to explore featured products, domains, and services.
  • Learn about GCP services like Compute Engine, Cloud Storage, Cloud SQL, BigQuery, Vision AI, etc.
  • Create a free account to experiment with different services and benefit from modernized infrastructure.
  • AWS and Google Cloud engage in a debate on cloud computing platforms' features, performance, pricing, and market share.
  • Compare AWS and Google Cloud on aspects like pricing, market share, free offerings, instance configurations, telemetry, application support, containers, and geographies.

03:24:02

Google Cloud Platform: Big Data, Security, Hosting

  • Google Cloud Platform (GCP) offers various services for big data needs like Pub/Sub and Data Proc
  • GCP provides high productivity by utilizing Google's infrastructure, allowing work from anywhere with internet access
  • Collaboration with teams and colleagues on projects is facilitated through GCP's web-based services
  • GCP ensures high security with encryption and security mechanisms, reducing vulnerability
  • GCP offers reliability, flexibility, scalability, and cost-effectiveness for infrastructure modernization
  • Google Cloud offers three types of web hosting: WordPress, LAMP stack, and building a custom website
  • A case study on Lush Cosmetics highlights how GCP's flexibility and scalability resolved website crash issues
  • GCP's Auto Scaling feature improved availability during peak loads and reduced hosting costs for Lush
  • Setting up a VM instance on GCP involves selecting region, machine type, distribution, disk size, and security options
  • Hosting a website on GCP involves installing Apache, customizing firewall rules, and accessing the website through a browser

03:43:09

"Google Cloud CP100A Training 2022 Tutorial"

  • Sign up for SimplyLearn CP100A training for Google Cloud in-depth tutorial 2022
  • Ask any questions in the comment section for expert assistance
  • Subscribe to SimplyLearn YouTube channel for more videos and certification opportunities
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