Top 50+ GOOGLE CLOUD Services Explained in 7 Minutes
Summary
TLDRThe video introduces the Google Cloud Platform, detailing its evolution from a service available to a select few in 2008 to a comprehensive suite offering 272 services today. It covers core services like Compute Engine, App Engine, Cloud Functions, GKE, and Cloud Storage, as well as advanced tools for data management, machine learning, IoT, and security. The video emphasizes the platform's versatility, catering to both developers and non-coders, and highlights how Google Cloud services can optimize various aspects of modern computing and application deployment.
Takeaways
- 📅 Google Cloud Platform was introduced in 2008, initially available only to a limited number of clients and developers.
- 💻 Google Cloud Compute Engine allows you to deploy compute virtual machines for launching large compute clusters.
- 🚀 App Engine enables developers to create applications with a choice of libraries and frameworks.
- ⚙️ Cloud Functions provides a lightweight compute solution for creating single-purpose functions responding to cloud events.
- 📦 Google Kubernetes Engine (GKE) automates operational tasks of container management and application deployment.
- 💾 Cloud Storage offers worldwide storage and retrieval of data for various scenarios, including website content and disaster recovery.
- 🔒 Google Cloud SQL provides relational databases for data management and analysis.
- 🔄 Cloud Spanner is a scalable, globally distributed, and dynamically replicated database.
- 📊 BigQuery facilitates data management features for big data warehouses.
- 🤖 Vertex AI provides an integrated platform for machine learning, including tools for training and deploying models.
Q & A
What is Google Cloud Compute Engine, and how can it be utilized?
-Google Cloud Compute Engine is a service that allows users to deploy compute virtual machines on Google's infrastructure. It is particularly useful for launching large compute clusters, enabling scalable and flexible cloud computing environments.
What is the purpose of the Google Cloud App Engine service?
-The Google Cloud App Engine service is designed for web hosting and application development. It allows developers to choose from various libraries and frameworks to build and deploy their applications easily on Google's infrastructure.
How does Google Cloud Functions support developers?
-Google Cloud Functions is a lightweight compute solution that enables developers to create single-purpose, standalone functions that respond to cloud events. It eliminates the need for managing servers or runtime environments, allowing developers to focus solely on their code.
What are the benefits of using Google Kubernetes Engine (GKE)?
-Google Kubernetes Engine (GKE) automates the management of containerized applications. It simplifies deployment, scaling, and operations of applications, providing built-in commands and a managed environment for efficient container orchestration.
How does Google Cloud Storage support various data storage needs?
-Google Cloud Storage offers worldwide storage and retrieval of data, suitable for diverse scenarios such as serving website content, storing data for archival and disaster recovery, or distributing large data objects to users via direct download.
What distinguishes Google Cloud SQL from other database services?
-Google Cloud SQL provides fully managed relational databases, making it easier for users to handle data management and analysis tasks. It supports MySQL, PostgreSQL, and SQL Server, offering a familiar environment with Google's infrastructure benefits.
What is the role of Google Cloud Spanner in database management?
-Google Cloud Spanner is a scalable, multi-version, globally distributed database service. It offers strong consistency, horizontal scaling, and automatic replication, making it suitable for mission-critical applications that require high availability.
How does Google Pub/Sub enhance real-time messaging capabilities?
-Google Pub/Sub is a fully managed, real-time messaging service that enables applications to send and receive messages across different systems. It supports reliable message delivery and scalable processing, ideal for event-driven architectures.
What are the advantages of using Google Cloud's Vertex AI for machine learning?
-Google Cloud's Vertex AI provides a unified platform for all machine learning services, allowing users to easily train, compare, and deploy models. It streamlines the machine learning workflow, making it accessible for both novice and experienced users.
How does Google Cloud Armor contribute to network security?
-Google Cloud Armor provides DDoS protection and WAF capabilities, preventing unwanted traffic from consuming resources or accessing virtual private cloud networks. It enhances the security of applications and services deployed on Google Cloud.
Outlines
🚀 Introduction to Google Cloud Platform and Core Services
In 2008, Google Cloud Platform (GCP) was introduced with limited availability, primarily catering to large corporations. Today, it offers 272 services. This paragraph introduces key services within GCP, such as Compute Engine for deploying virtual machines, App Engine for web hosting and app development, and Cloud Functions for event-driven computing. It also covers GKE for container management, Cloud Deployment Manager for automating deployments, and various data storage solutions like Cloud Storage and Local SSDs. Additionally, the text touches on database services like Cloud SQL and Bigtable, and advanced data tools such as Dataflow and BigQuery.
🛠️ Advanced Google Cloud Services and Management Tools
This paragraph focuses on Google's advanced services and tools for managing and deploying applications in GCP. It discusses Artifact Registry for managing container images and language packages, Google Cloud Deploy for automating application distribution, and audit logs for tracking administrative activities. The text also introduces Data Loss Prevention, Cloud Identity for centralized user management, and Cloud KMS for data encryption. Additional tools mentioned include Transfer Service for moving data between accounts, Data Transfer for secure data migration across platforms, and development tools like Cloud Shell and Cloud Code. The paragraph concludes with a brief overview of Cloud Tools for Visual Studio.
Mindmap
Keywords
💡Google Cloud Platform
💡Compute Engine
💡App Engine
💡Cloud Functions
💡GKE (Google Kubernetes Engine)
💡Cloud Storage
💡Filestore
💡Cloud SQL
💡Bigtable
💡Cloud Firestore
💡Memory Store
💡Cloud Spanner
💡Dataprep
💡Databricks
💡Cloud Looker
💡Dataflow
💡Pub/Sub
💡BigQuery
💡Cloud Composer
💡Google Data Studio
💡Cloud Vision
💡Vertex AI
💡AutoML Vision
💡Dialogflow
💡Cloud Armor
💡Cloud VPN
💡Direct Peering
Highlights
Google Cloud Platform was introduced in 2008 and initially available only to a limited number of clients and developers, particularly large corporations.
Google Cloud Platform now offers 272 services, covering a wide range of needs for businesses and developers.
Google Compute Engine allows for the deployment of virtual machines, enabling large compute clusters to be launched on Google’s infrastructure.
App Engine Service provides web hosting and application development with a choice of libraries and frameworks.
Cloud Functions is a lightweight compute solution for developers to create standalone functions that respond to cloud events without managing a server.
Google Kubernetes Engine (GKE) automates container management and application deployment.
Cloud Deployment Manager simplifies deployment management by allowing users to write flexible templates and configuration files.
Cloud Storage provides worldwide storage and retrieval of any amount of data at any time, useful for scenarios like website content delivery and disaster recovery.
Google Cloud SQL offers relational databases, while Bigtable supports NoSQL databases for large analytical and operational workloads.
Cloud Firestore enables scalable databases for server, web, and mobile applications.
Cloud Spanner is Google’s scalable, globally distributed, and dynamically replicated database.
Cloud Pub/Sub provides a fully managed real-time messaging mechanism for sending and receiving messages across different applications.
BigQuery facilitates data management in big data warehouses with features that optimize performance and scalability.
Google Cloud Armor helps prevent unwanted traffic from consuming resources or accessing virtual private cloud networks.
Google Cloud CDN leverages Google’s global edge network to deliver content faster to users.
Transcripts
in 2008 google cloud platform was
introduced initially it was only
available to a limited number of clients
and developers particularly to
corporations with millions of users it
now offers 272 services we're now going
to discuss the core services that can
help you in your journey to work the
google cloud compute engine service
allows you to deploy compute virtual
machines that let you easily launch
large compute clusters on google's
infrastructure
if you are working with web hosting and
applications use app engine service
where you can choose from several
libraries and frameworks to develop your
apps
cloud functions is a lightweight compute
solution for developers to create single
purpose standalone functions that
respond to cloud events without managing
a server or runtime environment
to automate your operational tasks of
container management and built-in
commands for deploying applications you
can use gke service
to automate your deployment cloud
deployment manager can manage services
for you
you may do this by writing flexible
templates and configuration files
cloud storage allows worldwide storage
and retrieval of any amount of data at
any time you can use cloud storage for a
range of scenarios including serving
website content storing data for
archival and disaster recovery or
distributing large data objects to users
via direct download
local ssds perform faster and have less
latency than traditional or ssd
persistent drives
to make it simple for you to preserve
your data filestore offers rapid backups
and snapshots
google cloud sql provides relational
databases for you to work on data
management and analysis
bigtable provides nosql databases and is
great for experimenting with large
analytical and operational workloads
you may use cloud firestore to create
scalable databases for server web and
mobile applications
memory store delivers a managed version
of two open source caching solutions
redus and memcached cloud spanner is
google's scalable multi-version globally
distributed and dynamically replicated
database
dataprep is an intelligent cloud data
service to visually explore clean and
prepare data for analysis and machine
learning
if you want to find data tools databrock
is your best option as it allows you to
utilize open source data tools
cloud looker minimizes complexity in
bigquery allowing for faster model
building
dataflow is a fully managed streaming
analytics service that minimizes latency
processing time and cost through auto
scaling and batch processing
you may send and receive messages across
different applications using the fully
managed real-time messaging mechanism
known as pub sub
in relation to your big data warehouses
bigquery facilitates data management
features
cloud composer is a fully managed
workflow solution that allows you to
build plan monitor and manage processes
that span data centers
google data studio is a web tool that
converts data into customizable
informative reports and dashboards
now if you're working on machine
learning cloud vision can help you with
the pre-trained data sets through data
rest and rpc apis
to easily train and compare cloud vertex
ai brings all the services you need
under a single platform
for direct online predictions cloud auto
ml vision allows you to train deploy and
serve your data sets
the doc ai platform is a single document
processing dashboard that provides easy
access to all parsers and tools
dialogflow is a platform that makes it
simple to create and build a
conversational user interface
google cloud armor prevents unwanted
traffic from consuming resources or
accessing your virtual private cloud
networks
to ensure the vpn connection each cloud
vpn gateway must be linked to another
cloud vpn gateway or apr vpn gateway
direct peering allows you to link your
business network to google's edge
network and exchange total cloud traffic
cloud cdn uses google's global edge
network to provide content closer to
consumers resulting in faster websites
and applications
dns is a hierarchical distributed
database that lets you store ip
addresses and other data and look them
up by name
you may provide your application
instances without public ip addresses
thanks to the managed network address
translation technology known as cloud
nat
cloud load balancing is a fully
distributed software defined managed
service
antos is a managed platform for all your
application deployments both traditional
as well as cloud native
if you are using iot devices you can use
iot core services to collect the data
api gateway allows you to develop secure
and monitor apis giving you great speed
and scalability so you can focus on
other projects
if you don't have any coding experience
appsheet is a no code development
platform that allows anybody without
coding skills to create mobile and web
applications source code from several
sources can be imported using cloud
built and developed to your
specifications and by creating artifacts
your company can manage container images
and language packages all in one
location using artifact registry
google cloud deploy is a service that
automates the distribution of your
applications to a set of target
environments
for managing container images and other
artifacts google cloud's artifact
registry is a generic repository manager
audit logs take account of
administrative activity and accesses
your google cloud services
you may manage the content that users
can share in files outside the
organization using data loss prevention
cloud identity is a method for managing
users in groups in a centralized way
cloud kms is a rest api that may encrypt
decrypt or sign data for storage using a
key
to move email and files from your school
google account to another google account
transfer service exists
transfer appliance allows you to send
your data securely to a google upload
facility where it ultimately is uploaded
to cloud storage
you can transfer data between object and
file storage fast and securely across
google cloud amazon and other platforms
using data transfer
the admin sdk api is a restful api that
may be used to create and manage admin
controlled resources programmatically
the interface for learning and
experimenting with cloud services is
called cloud shell
cloud code is a set of ide plugins that
make it easier to design deploy and
connect google cloud applications
developers can manage and deploy their
applications to the google cloud
platform within the ide with the help of
cloud tools for visual studio
that brings us to the end of the video
we hope you've learned a lot about
google cloud services and thanks for
watching
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