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

Simplilearn・171 minutes read

Google Cloud Platform provides various services like compute, storage, networking, and big data, emphasizing key features such as pricing, speed, and big data capabilities. A comparison between GCP, AWS, and Azure highlights differences and strengths, with a focus on GCP certification training and detailed exploration of GCP domains and services.

Insights

Google Cloud Platform (GCP) offers various services, including Compute Engine, Cloud Run, Anthos, Vision AI, Cloud Storage, Cloud SQL, BigQuery, and AI and machine learning products.
GCP stands out for its pricing, speed, and big data capabilities, running on Google's infrastructure, with key factors like pricing, speed, and big data capabilities highlighted.
Use cases like Ferrero chocolates showcase how BigQuery on GCP can help analyze data for marketing strategies and customer engagement.
Sole tenant nodes on GCP are dedicated servers for specific user cases, offering the same machine types and configurations as regular compute instances.
Google Cloud Platform provides options for managing services using the console or command line, with beginners advised to start with the console before transitioning to the command line.
Instances on GCP are hosted on Google's infrastructure, each with a boot persistent disk containing the operating system and the ability to add more storage space as needed.

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What is Google Cloud Platform?
A set of cloud computing services by Google.

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Summary

00:00

Google Cloud Platform: Comprehensive Course and Comparison

The video is a full course on Google Cloud Platform, covering basic concepts like GCP domains, services, and 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 cloud ML are explored towards the end of the course.
GCP fundamentals and certification training are emphasized to help viewers gain 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 running on Google's infrastructure.
Pricing, speed, and big data capabilities are highlighted as key factors making GCP stand out.
Various GCP domains like compute, storage, networking, big data, AI, developer tools, security, IoT, and API platforms are explained.
A use case with Ferrero chocolates showcases how BigQuery on GCP helped analyze data for better marketing strategies and customer engagement.

21:03

Navigating Google Cloud: Services, Pricing, Setup, Domains

The text discusses navigating Google Cloud's website, highlighting quick starts, documentation, and featured products.
It emphasizes learning from use cases and understanding different solutions and best practices.
Various Google Cloud services are detailed, including Compute Engine, Cloud Run, Anthos, Vision AI, Cloud Storage, Cloud SQL, BigQuery, and AI and machine learning products.
The text mentions platform accelerators and provides an example of exploring Compute Engine's quick starts and how-to guides.
Pricing options for Google Cloud services are explained, with details on Compute Engine pricing, machine types, discounts, and reservations.
The text delves into setting up Google Cloud SDK on a Windows machine and using the Cloud Console for GUI access.
It describes creating a project on Google Cloud, managing billing, enabling APIs, and accessing services like Compute Engine, BigQuery, and Cloud Storage.
The text covers activity tracking on Google Cloud, including creating and deleting instances, updating metadata, and working with APIs and services.
It explains navigating the Google Cloud Console, accessing the marketplace, billing information, APIs and services, support, identity access management, and getting started guides.
The text concludes by discussing different Google Cloud domains like Compute, Storage, Networking, Operations, Big Data, Artificial Intelligence, and other solutions offered by Google Cloud.

38:55

Managing Google Cloud Platform Services: Console vs Command Line

Google Cloud Platform (GCP) offers various options for users to manage services, with the choice between using the console or the command line.
Beginners are advised to start with the console for easier navigation, gradually transitioning to the command line as they gain experience.
Using the command line, one can create instances by typing commands like "gcloud compute instances create" followed by specifying instance details.
Instances on GCP are hosted on Google's infrastructure and belong to specific projects within the Google Cloud Console.
Each instance has a boot persistent disk containing the operating system, with the option to add more storage space as needed.
Projects can have up to five VPC networks, allowing instances within the same network to communicate through LAN protocols.
Compute Engine instances support launching applications using containers, providing flexibility in deployment methods.
Users can associate SSH keys with their Google or G Suite accounts for secure access to instances, managing permissions through IAM roles.
Creating instances on GCP can be done through the console by selecting machine configurations, boot disk options, and access scopes.
Connectivity to instances can be established using SSH keys generated through tools like Putty, enabling secure access to the virtual machines.

56:09

Connecting to Cloud Instances via SSH

Use the REST API to connect to an instance by copying the public IP and connecting via Putty.
Provide the hostname and IP address in Putty session, select the PPK file for authentication.
Save the session as "my instance one" and create multiple instances for Google Cloud or Amazon.
Encounter an authentication error due to SSH access not enabled, resolve by setting the correct username.
Check network connectivity issues by examining inbound and outbound rules for the machine.
Successfully connect to the machine using SSH, log in as root, and access the Ubuntu machine.
Verify the connection by checking available space on the machine.
Explore network details to view firewall rules for ingress and egress, allowing external network connections.
Create a new firewall rule by specifying a name, traffic type, IP ranges, protocol, and ports.
Clean up instances by stopping, resetting, or deleting them to avoid unnecessary billing charges.

01:14:21

Mastering gcloud compute instances and storage

To access gcloud compute instances, use the command "gcloud compute instances" and then "list" to view available options.
For assistance, utilize "gcloud compute --help" or explore different options by typing "gcloud compute."
To list instances, type "instances" and then "list" to view available instances.
Customize the output format by adding "--format" followed by "json" or "text" after the "list" command.
Use "help" to explore various commands available with "list," such as naming, regular expressions, zones, and filters.
Create a new instance by specifying a name, zone, and region using the "create" command.
Connect to the created instance via SSH and manage it by commands like "stop" and "delete."
Utilize Google Cloud Storage by creating a bucket through the Cloud Console or Cloud Shell with options like "mb" for creating buckets and "ls" for listing contents.
Choose storage classes like standard, near line, or cold line based on data usage frequency.
Control access to objects within the bucket by setting permissions and configuring advanced settings like retention policies.

01:31:46

Google Cloud Platform: Features, Benefits, and Trends

Google Cloud SDK or Cloud Console can be used to create a bucket, upload data, download data, and check accessibility, showcasing cloud storage capabilities.
Free or paid accounts can easily delete buckets by confirming the bucket name and using gsutil and a delete command from the command line or cloud shell.
The process involves creating a bucket, uploading data, downloading it, creating folders, and using gsutil tools for various actions from the command line.
Google Cloud Platform (GCP) offers cloud computing services, benefits, and various services compared to other providers like Amazon Web Services and Microsoft Azure.
Nina's website development company faced challenges like low memory space, high website traffic, and few servers, which were resolved by adopting cloud computing for on-demand memory, load balancing, and scalability.
Cloud computing utilizes hardware and software components offered as services by cloud providers, allowing users to access resources over a network, automate software integration, and benefit from unlimited storage and computation capacity.
Cloud computing features on-demand self-service, broad network access, resource pooling, rapid elasticity, and measured services, enabling users to scale resources as needed and pay for usage or reservations.
The trend of cloud computing evolved from colocation to virtualization and container-based architectures, offering cost-effective, scalable, and automated solutions for modernizing infrastructure.
Major cloud providers like Amazon Web Services, Microsoft Azure, Google Cloud Platform, and others offer a range of services for organizations to integrate with cloud platforms and benefit from modernized infrastructure.
Google Cloud Platform stands out for its pricing, speed, performance, live migration of apps, and innovative solutions for big data, AI, and machine learning, running on the same infrastructure as Google's end-user products.

01:53:34

Cloud Computing Options and Benefits for Businesses

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 on Google Cloud.
Google Cloud provides various options for instances, including pre-defined 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 from different cloud providers include Amazon's Elastic Beanstalk, Azure Cloud Service, and Google App Engine for developers to build and host applications.
Serverless computing services like AWS Lambda, Azure Functions, and Google Cloud Functions offer a way to run code in the cloud without managing infrastructure.
Serverless computing is beneficial for organizations preferring microservices architecture, allowing for dynamic changes without upfront infrastructure planning.
Serverless computing offers advantages like zero administration, auto-scaling, pay-per-use model, faster deployment, and division of applications into functions for easier management.
Object storage services like Amazon S3, Azure Blob Storage, and Google Cloud Storage provide options for storing and retrieving data over the internet.
Amazon Web Services, Azure, and Google Cloud offer enterprise-friendly services with varying advantages and disadvantages in terms of pricing, performance, and management.
Domino's Pizza increased monthly revenue by six percent using Google Analytics Premium, Google Tag Manager, and BigQuery to integrate marketing measurement across devices and analyze customer behavior efficiently.

02:14:01

Google Cloud Machine Types and Configurations

Memory optimized and compute optimized machine types are available for different workloads.
General purpose machine options include N1 series, E2, N2, and N2D.
Machine configurations can be chosen based on application requirements.
Default configuration includes one virtual CPU core and 3.5 gigabytes of RAM.
Features like live migration for VMs and preemptable virtual machines are available.
Boot disk options include selecting a distribution like Ubuntu and disk type (standard persistent disk or SSD).
Identity and API access management settings can be customized.
SSH access can be set up using Google Cloud Console or Cloud Shell, with the option to provide public and private keys.
Management options include setting up reservations, providing startup scripts, and choosing preemptability.
Networking settings like auto subnet and disk configurations can be adjusted.

02:31:04

Google Cloud: Managing Instances, Storage, and Databases

Google Cloud offers various commands for managing instances, including creating instances, changing metadata, altering regions, and adding startup scripts.
Compute Engine is a service provided by Google Cloud Platform (GCP) for managing compute resources.
GCP also offers storage and database services within the storage domain.
Storage options in GCP include Bigtable, Datastore, Firestore, Filestore, 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 access control managed through IAM or ACL.
Object versioning in Cloud Storage creates new versions when changes are made, preventing overwriting unless specified.
Creating a bucket in Cloud Storage involves selecting a unique name, location type (region-specific, dual region, or multi-region), and storage class (standard, nearline, coldline, or archive).
Access control in Cloud Storage can be fine-grained, with encryption and retention policy options available.
Bigtable, a NoSQL database service by Google, offers scalability, real-time access, and encryption, suitable for large datasets and low-latency needs.

02:48:59

Comparing Google Cloud Database Services and Tools

Initializing Cloud Firestore in Datastore mode services in EU3 takes a few minutes before redirecting to the database.
Cloud Datastore and Cloud Bigtable pricing structures differ, with Cloud Datastore charging for monthly storage and Cloud Bigtable for cluster runtime.
Cloud Datastore suits small data with infrequent access, while Cloud Bigtable is more cost-effective for large data sets with frequent access.
Cloud Firestore in native mode offers additional features compared to Cloud Datastore, allowing for more advanced data manipulation.
Cloud Spanner was developed by Google to bridge the gap between Cloud Datastore and traditional RDBMS, offering strong consistency and relational schema support.
Cloud Datastore enables entity creation with options like default namespace, kind, numeric ID, and property addition.
Cloud SQL is a fully managed service for MySQL, PostgreSQL, and SQL Server databases, offering scalability and reliability.
BigQuery is a data warehouse solution on Google Cloud Platform, allowing for real-time analysis of streaming data and processing billions of rows in seconds.
Data Proc is a managed service for running Spark or Hadoop jobs, ideal for big data processing and machine learning workloads.
Data Proc clusters can be set up by selecting region, machine type, disk configurations, and worker nodes, providing a cost-effective and integrated solution for managing big data clusters.

03:06:51

Comparing Google Cloud Platform and AWS Services

Google Cloud Platform offers a variety of options such as Kubernetes, cloud functions, networking services, monitoring tools, big data services, and more.
Google provides detailed documentation for each service, like the real-time managed service for publish-subscribe messaging systems.
To explore Google Cloud Platform services, visit cloud.google.com for featured products, domains, and services information.
GCP services cover compute, storage, databases, networking, big data, developer tools, AI, security, IoT, and more.
Users can create a free account to experiment with various GCP services, connecting to, managing, and benefiting from them.
AWS and Google Cloud Platform are compared in a debate, discussing their origins, features, performance, pricing, market share, and free offerings.
AWS leads the cloud market share with 47%, while GCP is growing rapidly and offers cost-effective services.
AWS provides a wide range of services and has a strong market presence, while GCP offers cheaper instances and multi-regional cloud storage.
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.
Instance configurations differ between AWS and GCP, with AWS offering larger instances and spot instances, while GCP offers preemptable instances at a fixed price.

03:24:12

Google Cloud Platform: Reliable, Scalable Web Hosting

Google Cloud Platform (GCP) offers high reliability, flexibility, scalability, and cost-effectiveness for infrastructure modernization.
GCP provides three types of web hosting: WordPress, LAMP (Linux, Apache, MySQL, PHP), and the option to build a custom website.
Lush, a global cosmetics retailer, faced website crash challenges due to high traffic on Boxing Day, leading to an 18-hour downtime.
GCP's solution for Lush included rapid VM deployment on Google Compute Engine, enabling easy movement of the website during peak times.
By utilizing Google Cloud SQL, Lush optimized its infrastructure, leading to lower costs and improved availability during peak loads.
Google Cloud's web hosting allows users to set up a VM instance easily through the console, choosing configurations like CPU, RAM, distribution, and disk size.
Users can connect to their VM instance using SSH, set up services like Apache for web hosting, and customize firewall rules for incoming and outgoing traffic.
Hosting a website on a Compute Engine instance involves placing HTML files in the appropriate directory, restarting services like Apache, and accessing the website via the public IP.
Google Cloud Platform offers courses on big data and machine learning, attracting major corporations like Spotify and Apple for data analytics needs.
The Google Cloud Platform certification course provides in-depth training on GCP fundamentals, empowering individuals to build, test, and deploy applications at scale in the cloud.

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