Google Cloud Platform (GCP) is a suite of cloud computing services that runs on Google's infrastructure. GCP offers services including computing, storage, analytics, machine learning, and more. It is reliable, high-performing, secure, and innovative. GCP provides services like Compute Engine, Cloud Storage, BigQuery, and machine learning APIs. It can be used for applications, data analytics, machine learning, and more. Google App Engine is a serverless platform on GCP that automatically scales applications. GCP offers pay-as-you-go and committed pricing options.

1. Google
Cloud
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CLOUD SERVICES
PLATFORM

2. Topics to be covered…
GCP SERVICES WHY CHOOSE GCP? GCP PRICING

3. What is Google Cloud Platform?
Google Cloud Platform (GCP) is a suite of cloud computing
services that runs on the same infrastructure that Google uses
for its end-user products, such as Google Search and
YouTube. GCP offers a broad range of services, including
computing, data storage, data analytics, and machine learning.

4. Why choose GCP?
There are many reasons to choose GCP, including:
Reliability: GCP is built on the same infrastructure that Google uses for
its own products, so you can be confident that it is reliable and scalable.
Performance: GCP offers high-performance computing and storage
services that can handle even the most demanding workloads.
Security: GCP takes security very seriously and offers a wide range of
security features to protect your data and applications.
Innovation: GCP is constantly innovating and adding new features and
services.

5. GCP services
GCP offers a wide range of services, including:
Compute: Compute Engine, App Engine, Container Engine, Cloud Functions
Storage: Cloud Storage, Cloud Bigtable, Cloud Datastore, Cloud SQL
Networking: Cloud Virtual Network, Cloud Load Balancing, Cloud CDN, Cloud
Interconnect
Big data: BigQuery, Cloud Dataflow, Cloud Dataproc, Cloud Datalab, Cloud Pub/Sub
Machine learning: Cloud Machine Learning Engine, Vision API, Speech API, Natural
Language API, Translation API
Other services: Cloud IAM, Cloud Resource Manager, Cloud Security Scanner, Cloud
Platform Security, Stackdriver, Cloud Console, Cloud SDK, Cloud Source Repositories

6. GCP use cases
GCP can be used for a wide variety of use cases, including:
•Web and mobile applications: GCP can be used to host and deploy
web and mobile applications.
•Data analytics: GCP can be used to store and analyze large datasets.
•Machine learning: GCP can be used to train and deploy machine
learning models.
•Game development: GCP can be used to develop and deploy games.
•Internet of Things (IoT): GCP can be used to connect and manage IoT
devices.

7. Google App Engine
Google App Engine (GAE) is a fully managed, serverless platform for
developing and hosting web applications at scale. It is a part of the
Google Cloud Platform (GCP).
What is serverless computing?
Serverless computing is a cloud computing execution model where the
cloud provider manages the server infrastructure and dynamically
allocates resources to applications based on demand. This means that
developers do not have to worry about provisioning and managing
servers, and they can focus on building and deploying their applications.

8. Benefits of GAE
GAE offers a number of benefits, including:
•Scalability: GAE can automatically scale your applications up or down based on
demand, so you don't have to worry about overprovisioning or underprovisioning
resources.
•Reliability: GAE is built on the same infrastructure that Google uses for its own
products, such as Google Search and YouTube, so you can be confident that it is reliable
and secure.
•Developer productivity: GAE provides a number of features that can help developers
be more productive, such as built-in support for popular programming languages and
frameworks, and a variety of tools and services that can be used to develop, test, and
deploy applications.

9. Use cases for GAE
•Web applications: GAE can be used to host and deploy web applications of all sizes,
from simple websites to complex e-commerce applications.
•Mobile backends: GAE can be used to develop and deploy mobile backends that
provide data storage, authentication, and other services to mobile applications.
•Internet of Things (IoT) applications: GAE can be used to develop and deploy IoT
applications that collect and process data from sensors and devices.
•Machine learning applications: GAE can be used to develop and deploy machine
learning applications that can be used for a variety of tasks, such as image recognition,
natural language processing, and fraud detection.

10. GCP Pricing
GCP offers a variety of pricing options, including pay-as-you-
go and committed use discounts. You can also use the GCP
Pricing Calculator to estimate your costs.

11. Conclusion
GCP is a powerful and versatile cloud computing platform that can be used for a wide
variety of use cases. GCP is a suite of cloud computing services that runs on the same
infrastructure that Google uses for its end-user products, such as Google Search and
YouTube. It is a good choice for businesses of all sizes, from startups to large
enterprises. GCP offers a number of advantages over other cloud computing platforms,
including reliability, performance, security, innovation, and cost savings.
In short, GCP is an excellent cloud computing platform that can help businesses of all
sizes to achieve their goals.