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Title: prudhvi33


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Google Cloud Platform
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(No Transcript)
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Google Cloud Platform Introduction The Google
Cloud Platform (GCP) is a suite of cloud services
hosted on Googles infrastructure. Google Cloud
Platform is a suite of public cloud computing
services offered by Google. Google Cloud
Platform, as the name implies, is a cloud
computing platform that provides infrastructure
tools and services for users to build
applications and services on top of. Google Cloud
Platform (GCP) is a portfolio of cloud computing
services that grew around the initial Google App
Engine framework for hosting web applications
from Googles data centers. Since the launch of
Google App Engine in 2008, GCP has grown into one
of the premier cloud computing platforms on the
market, though it still trails Amazon Web
Services (AWS) and Microsoft Azure in terms of
market share.
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Google Cloud Platform (GCP) includes a range of
hosted services for compute, storage and
application development that run on Google
hardware. Google Cloud Platform services can be
accessed by software developers, cloud
administrators and other enterprises IT
professionals over the public internet or through
a dedicated network connection. From computing
and storage to data analytics, machine learning,
and networking, GCP offers a wide variety of
services and APIs that can be integrated with any
cloud-computing application or projectbe it
personal or enterprise-grade.
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Products offered form Google Cloud
Google Cloud Platform products span the following
categories
1. Artificial intelligence Machine Learning AI Hub (beta), Cloud AutoML (beta), Cloud TPU, Cloud Machine Learning Engine, Diagflow Enterprise Edition, Cloud Natural Language, Cloud Speech-to-Text, Cloud Text-to-Speech, Cloud Translation, Cloud Vision, Cloud Video Intelligence, Cloud Inference API (alpha), and more
2.. API management API Analytics, API Monetization, Cloud Endpoints, Developer Portal, Cloud Healthcare API  
3. Compute Compute Engine, Shielded VMs, Container Security, App Engine, Cloud Functions, GPU, and more  
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4. Data Analytics BigQuery, Cloud Dataflow, Cloud Dataproc, Cloud Datalab, Cloud Dataprep, Cloud Composer, and more  
5. Databases Cloud SQL, Cloud Bigtable, Cloud Spanner, Cloud Datastore, Cloud Memorystore  
6. Developer Tools Cloud SDK, Container Registry, Cloud Build, Cloud Source Repositories, Cloud Tasks, and more, as well as Cloud Tools for IntelliJ, PowerShell, Visual Studio, and Eclipse
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7. Internet of Things (IoT) Cloud IoT Core, Edge TPU (beta)  
8. Hybrid and multi-cloud Google Kubernetes Engine, GKE On-Prem, Istio on GKE (beta), Anthos Config Management, Serverless, Stackdriver, and more  
9. Management Tools Stackdriver, Monitoring, Trace, Logging, Debugger, Cloud Console, and more  
10. Media Anvato, Zync Render
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11. Migration Cloud Data Transfer, Transfer Appliance, BigQuery Data Transfer Service, Velostrata, VM Migration, and more  
12. Networking Virtual Private Cloud (VPC), Cloud Load Balancing, Cloud Armor, Cloud CDN, Cloud NAT, Cloud Interconnect, Cloud VPN, Cloud DNS, Network Service Tiers, Network Telemetry
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13. Security Access Transparency, Cloud Identity, Cloud Data Loss Prevention, Cloud Key Management Service, Cloud Security Scanner, and more  
14. Storage Cloud Storage, Persistent Disk, Cloud Filestore, and more  
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When to Use Google Cloud Platform Developers
building cloud-native Web or mobile applications
are often drawn to Google Cloud Platform,
particularly the App Engine PaaS. When start-ups
looking to scale rapidly, the cloud computing
services commitment to performance, innovation,
openness, and low prices make it popular. When it
is difficult to estimate and compare public cloud
prices, Googles commitment to price leadership
make it a good choice for budget-conscious
organizations of all sizes, and certainly for
hybrid IT users. Google offers strong
capabilities in big data analytics, machine
learning, and artificial intelligence. It had
created and/or contributed to many of the most
popular open-source projects in this area, and it
infuses its cloud offerings with that expertise.
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  • Those big data capabilities are augmented by
    Googles inexpensive cloud storage, which makes
    this cloud platform cost-effective for storing
    large volumes of data.
  • Google is also working to distinguish itself in
    the area of container technology.
  • When looking for cloud-based container tools as
    Google created Kubernetes, open-source container
    management solution that is integrated into its
    cloud, and it also has strong support for
    Docker. 
  • Features of Google Cloud Platform
  • 1.Pricing Google recently shifted its pricing
    model to include sustained-use discounts and
    per-minute billing. Billings starts with a
    10-minute minimum and bills per minute for the
    following time.

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2.Hosting The Cloud Platform offers two hosting
options the App Engine, which is their
Platform-as-a-Service and Computes Engine as an
Infrastructure-as-a-Service. 3.Containers Contai
ners are especially useful in a PaaS situation
because they assist in speeding deployment and
scaling apps. 4.Big Data The Google Cloud
Platform offers a full big data solution, but
there are two unique tools for big data
processing and analysis on Google Cloud Platform.
First, BigQuery allows users to run SQL-like
queries on terabytes of data. Plus, you can load
your data in bulk directly from your Google Cloud
Storage. The second tool is Google Cloud
Dataflow. Also announced at I/O, Google Cloud
Dataflow allows you to create, monitor, and glean
insights from a data processing pipeline.
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5.Andromeda Google Cloud Platform networking
tools and services are all based on Andromeda,
Googles network virtualization stack. 6.Load
Balancing In June, Google announced the Cloud
Platform HTTP Load Balancing to balance the
traffic of multiple compute instances across
different geographic regions. 7.Cloud
Debugger The Cloud Debugger gives developers the
option to assess and debug code in production.
Developers can set a watch point on a line of
code, and any time a server request hits that
line of code, they will get all of the variables
and parameters of that code.
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8.Cloud Trace Cloud Trace lets you quickly
figure out what is causing a performance
bottleneck and fix it. The base value add is that
it shows you how much time your product is
spending processing certain requests. 9.Maintenan
ce Google does routine testing and regularly
send patches, but it also sets all virtual
machines to live migrate away from maintenance as
it is being performed. Compute Engine
automatically migrates your running
instance. 10.Cloud Save The Cloud Save API was
announced at the 2014 Google I/O developers
conference by Greg DeMichillie, the director of
product management on the Google Cloud Platform.
Cloud Save is a feature that lets you save and
retrieve per-user information. It also allows
cloud-stored data to be synchronized across
devices.
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Conclusion Google provides other cloud services,
which are not strictly part of the Cloud
Platform. G Suite, a collection of productivity
and collaboration apps, competed with Microsoft
Office 365. Firebase is a mobile and web
application development platform. Google Cloud
Platform is primarily a public cloud provider,
though Google has dramatically increased its
focus on hybrid and multi-cloud workloads using
Anthos, allowing users to manage workloads on GCP
and Google Kubernetes Engine as well as on AWS
and Azure. Google continues to gain market share
among enterprises and will likely remain a strong
competitor in the public cloud market.
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