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Google Cloud Services : All You Need To Know About GCP Services

Last updated on Aug 09,2023 7.4K Views

Kislay Keshari
Kurt is a Big Data and Data Science Expert, working as a... Kurt is a Big Data and Data Science Expert, working as a Research Analyst at Edureka. He is keen to work with Machine Learning,...
1 / 3 Blog from Getting Started with GCP

I hope you have gone through my What is Google Cloud Platform blog, where I’ve given a detailed introduction to GCP and How to create a free GCP Account. In this blog, I’ll be talking about all the Google Cloud Services.

Google Cloud Services is a set of Computing, Networking, Storage, Big Data, Machine Learning and Management services provided by Google that runs on the same Cloud infrastructure that Google uses internally for its end-user products, such as Google Search, Gmail, Google Photos and YouTube. It offers a wide variety of Services at some pretty awesome price. You can learn more from the Google cloud certification.

In this Google Cloud Services Blog, I’ll Discuss:

GCP- Services

Google Cloud Services

Google offers a Wide Range of services from basic Cloud Services like Containers, Compute Engine to Complex Services like Machine Learning as well as Diverse IOT Services. So, let’s understand each of these services one by one.

GCP Services

Compute Services

Google Cloud Platform provides a scalable range of computing options. It provides highly customizable virtual machines you can tailor to match your needs and options to deploy your code directly or via containers.

Now to create a Compute Engine Instance you can refer to this Google Cloud Platform Tutorial Blog.


Google Cloud Services - Compute

Google Compute Engine: It delivers virtual machines running in Google’s innovative data centres and worldwide fibre network. Compute Engine VMs boot quickly, they come with high-performance persistent and local disk options and deliver consistent performance.

Google App Engine: The App Engine serves as a platform used for building scalable web applications and IoT backends. App Engine scales applications automatically depending upon the traffic received. It provides you with built-in services and APIs, such as Datastores, NoSQL, Memcache, and a user authentication API, common to most applications.

Google Kubernetes Engine: It is a powerful Cluster Manager and balanced system for running your Docker containers. Kubernetes Engine schedules your containers into the cluster, keeps them healthy and manages them automatically based on requirements you define.

Google Cloud Container Registry: It is a private Docker repository that works with popular continuous delivery systems.

Networking Services

Networking is one of the most important as well as one of the basics of Google Cloud Platform Services offered by state of the art Networking Services.

Google Cloud Services - Networking

Cloud Virtual Network: You can connect various GCP resources to each other using the Google-owned global network, and isolate them from one another by using their Virtual Private Cloud (VPC) Network.

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Let’s see how we can create a VPC Network.

  • Step 1: Open the Networking Section of GCP and Tap on Create VPC Network Button. You’ll be redirected to this page where you need to enter the name as well as the description of the network.

Google Cloud Services - VPC1


  • Step 2: You have the option to select the subnet creation mode – [Custom or Automatic]. Custom lets you Enter your own Subnet name, Region and IP Address. In Automatic, you have a list of Subnets as well as a list of Firewall you can choose from.

Custom Mode:

Google Cloud Services - VPC2


Automatic Mode:

Google Cloud Services - VPC3


Firewall Rules:


Step 3: Next you need to select the Routing Mode, which can be either Regional or Global depending on your requirement. Just Tap on the create button and within minutes your Network will be up and running.

Google Cloud Services - VPC5


Coming back to the Google Cloud Networking Services, we have:

Google Cloud Load Balancing: It helps you Scale your applications according to your needs. Balance your load of Compute machines resources in single or multiple regions, close to your users and to meet your high availability requirements.

Cloud CDN (Content Delivery Network): It uses Google’s globally distributed edge caches to accelerate content delivery for websites and applications served out of Google Compute Engine. Cloud CDN lowers network latency, offloads origins, and reduces serving costs.

Google Cloud Interconnect: Cloud Interconnect allows Cloud platform customers to connect to Google via enterprise-grade connections with higher availability and/or lower latency than their existing Internet connections.

Google Cloud DNS: It is a scalable, reliable and managed authoritative Domain Naming System (DNS) service running on the same infrastructure as Google. It has low latency, high availability and is a cost-effective way to make your application and services available to your users.

Storage & Database Services

Google Cloud Services - Storage and Database

Google Cloud Storage: It offers a unified offering across the Google Spectrum. It can handle both live data as well as Cloud archival solutions.

Cloud SQL: Cloud SQL is a fully-managed database service that makes it easy to Set up, Maintain, Manage, and Administer your relational MySQL and PostgreSQL databases in the cloud.

Cloud Bigtable: It provides a massively scalable NoSQL database suitable for low-latency and high-throughput workloads. It integrates easily with popular Big Data tools like Hadoop and Spark and it supports the open-source, industry-standard HBase API.

Google Cloud Datastore: Cloud Datastore gives you an elastic, highly available document-oriented database as a service.

Persistent Disk: It is a high-performance block storage service suitable for Virtual Machines and container storage. It offers unmatched price to performance ratio.

Big Data Services

Google Cloud Services - Big Data

Google BigQuery: BigQuery is Google’s fully managed, low-cost analytics data warehouse.

Google Cloud Dataproc: It is a managed Spark and Hadoop service, and is used to easily process big datasets using the powerful and open tools in the Apache big data ecosystem.

Google Cloud Datalab: Cloud Datalab is an interactive notebook (based on Jupyter) to explore, collaborate, analyze and visualize data. It is integrated with BigQuery and Google Cloud Machine Learning to give you easy access to key data processing services.

Google Cloud Pub/Sub: It is a serverless, large-scale, reliable, real-time messaging service that allows you to send and receive messages between independent applications.

Now Moving ahead with our Google Cloud Services Blog, we have Machine Learning and certain Identity & Security Services along with certain Management and  Development Tools.

Machine Learning Services

Google Cloud Storage - Machine Learning

Cloud AutoML: It is a suite of Machine Learning products that enables developers with limited machine learning expertise to train high-quality models by leveraging Google’s Neural Architecture Search technology.

Google Cloud TPU: The Cloud TPUs are a family of hardware accelerators that Google designed and optimized specifically to speed up and scale up ML workloads for training and inference programmed with TensorFlow.

Google Cloud Machine Learning Engine: The ML Engine makes it easy for you to build sophisticated, large-scale machine learning models that cover a broad set of scenarios from building sophisticated regression models to image classification.

Identity and Security Services

Identity and Security fall under one of the most important lists of Google Cloud Services, knowing that your data is safe and is encrypted.

Google Cloud Services - Identity and Security


Google Cloud Identity & Access Management: The IAM lets administrators authorize who can take action on specific resources, giving you full control and visibility to manage cloud resources centrally.

Cloud Security Scanner: It is a web security scanner for common vulnerabilities in App Engine applications, including cross-site-scripting (XSS), Flash injection, mixed content (HTTP in HTTPS), and insecure libraries.

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 Management and Developer Tools

Moving on to our final set of Google Cloud Services, we have certain management tools. These tools are used to Monitor the Services, Find Errors, Debug them and Trace the Services.

Google Cloud Services - Management Tools

The Stackdriver delivers real-time monitoring and logging across GCP, plus useful diagnostic tools.

Google Cloud Services - Development Tools

Google Cloud Platform provides a collection of tools and libraries that help you develop quicker.

Google Cloud SDK is a set of libraries and tools that you can use to manage computing resources and applications hosted on Google Cloud Platform. With the Cloud SDK, you have interactive command line tools to manage your virtual machines, your Cloud SQL instances and your deployments.

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So this is it, guys!

I hope you enjoyed this Google Cloud Services blog. If you are reading this, Congratulations! You are no longer a newbie to the various Cloud Services offered by Google.

Now that you have understood What are the various Google Cloud Services, check out the GCP Certification Training by Edureka, a trusted online learning company with a network of more than 250,000 satisfied learners spread across the globe. The Edureka Google Cloud Architect Masters Program is designed to help you pass the Professional Cloud Architect  Exam.

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Google Cloud Services : All You Need To Know About GCP Services