What is the Google Cloud Platform (GCP)? (2024)

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Companies turn to the public cloud for various reasons, but it has become the defacto standard for every size organization—from startup, to SMB, to the enterprise.

While each cloud vendor puts their own name on their offering, they are all, for the most part, using the same open source software—meaning they all use the same products. So having settled on the cloud, which cloud provider should an organization use? Amazon has the most customers, but the Google Cloud Platform (GCP) is another large player in this market.

Making an informed decision requires a basic understanding of what GCP is, how much it costs, what products they offer, and what certifications your staff could get—especially as compared to the arguable industry leader.

What is the Google Cloud Platform (GCP)?

The Google Cloud Platform (GCP) is a suite of cloud services that offers server space on virtual machines, internal networks, VPN connections, disk storage, machine language SaaS (Software as a Service) applications, and even something called TPU (Tensor Processing Units).

Again, Google puts a different name on their machine learning tools, but neither Google nor Amazon invented this technology. A server in Google's data center uses the same Intel 8086 architecture as do servers in Amazon. What makes them different is pricing, features, and customer support.

Google Cloud pricing

As with other companies, Google's prices for virtual machines (VMs) vary with CPU type and memory. Monthly subscription fees can mount quickly if machines are not sized correctly or there is no mechanism to monitor prices carefully. The key is to task someone to become an expert at and use the Google cost calculator to monitor the budget.

What is the Google Cloud Platform (GCP)? (1)What is the Google Cloud Platform (GCP)? (2)

A sample GCP account dashboard. It says at the top that Your Free Trial is Over. The free trial runs out when you have consumed $300 in credits.

Here is a brief list of monthly Google Cloud prices for the products the typical customer is most likely to use.

GCP product and services offerings

The Google Cloud Platform includes more than 100 individual products—from AI and machine learning, to data analytics, to networking, storage, and security.

App Engine

App Engine is a framework and platform for developing and hosting web apps that offers automatic scaling to answer increased demand. Instead of running apps in containers, you can create an application and run on an abstraction of it. This allows users to run an app without a VM or container.

Comparable to Amazon EC2.

BigQuery

BigQuery is a serverless, enterprise-level data warehouse. It is designed to help users set up their data warehouses quickly, so you can start analyzing and using the data, and it can analyze petabytes of data in minutes.

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BigQuery uses a standard SQL dialect that is ANSI:2011 compliant in order to reduce the need for code rewrites. It also uses federated query, which means the platform can process external data sources without duplicating data.

Comparable to AWS Athena.

Cloud Run

Cloud Run lets you create containers without virtual machines. To see how that is useful, and can save money, consider how you would set up containers without Cloud Run or something like it. You would have to (A) spin up a virtual machine and then (B) spin up containers inside. So why do (B) when you only need (A)? This is inherently wasteful. Plus it runs counter to the whole idea of containers, which is a minimal operating system that does not need all the encryption software, file transfer software, a system log, etc., that a full-blown OS has.

But a container needs some place to run. Google provides that with Cloud Run.

Compute Engine

Google Compute Engine delivers virtual machines. That is, it lets you pick from different operating systems and hardware sizes to create virtual machine instances. A virtual machine, of course, is a full-blown computer riding atop something called a hypervisor. It's really an abstraction of a computer, since it emulates a computer but does not have direct access to the screen or disk drive etc. Instead, the host operating system and hypervisor does that. This is how you take one individual computer hardware and divide it into multiple virtual computers.

VMs can be started and shut down as needed, so you can surge and contrast computing resources as the load on your application rises and falls. The end result is cost savings, since you are not paying for idle hardware.

Cloud Run is the same as Amazon EC2.

Memorystore for Redis

Cloud Memorystore for Redis is an open source, in-memory database, similar to SAP Hana or Apache Spark. The idea is that the database will run faster when there are no disk drives. This is because disk drivers have moving parts (e.g., the disk controller) that are not as fast as solid state storage (i.e., memory).

So Memorystore stores data in memory instead of on disk. But memory is expensive compared to disk storage, so it's not suitable for all tasks—unless their importance justifies their cost. For example, a typical medium sized VM has 8 to 32 GB of memory. That is not much compared to 1TB of data that you can add to your laptop for a mere $200 for an external drive.

Persistent Disk

Google Persistent Disk is block storage for VMs. It allows database blocks to be easily resized, backed up, and supported across multiple readers. It is also automatically encrypted, so users don’t have to worry about security for their cloud data.

You need a persistent disk, because when you shut down a virtual machine, the storage goes away. This is because the storage is the physical storage attached to the PC on which the VM runs.

Comparable to Amazon EBS.

Technical support

GCP Support is available in various tiers. There is free, self-service support, and paid support.

For free support, Google refers you to StackOverflow, which Google engineers monitor. There are also Google Groups and Slack channels.

Paid support includes phone support and, optionally, a dedicated account manager for your account, depending on which tier you purchase.

Google Tensor Processing Unit (TPU)

Google Cloud TPU is an offering unique to Google, but not entirely since it is a proprietary form of GPUs (graphical processing units designed to handle large scale mathematics, which is important in machine learning).

TPUs (Tensor Processing Units) are based on technology invented by NVIDIA, who leads and even invented the market in graphics cards. The TPU is a graphics-card-like CPU, except it has hundreds or thousands or core instead of the normal 4 or 8 of regular CPUs.

TPUs use the same technology as the graphics card in your desktop or laptop to do very large scale mathematics.

Tensors are used to build neural networks to do voice and image recognition. Plus they provide the CPU power to solve massive problems, like figuring out the optimal shipping schedule for a worldwide shipping company or modelling computer networks and monitoring cybersecurity events.

You can do all of this with regular CPUs, but TPUs reduce the time to do that by an order of magnitude.

Google Cloud in a real-world business application

Travis Perkins is the UK’s leading construction materials supplier. The company operates more than 20 businesses and owns almost as many brands.

In 2017, Travis Perkins accelerated the migration of their data to the cloud using GCP. The company uses Google BigQuery as a cloud warehouse, and enjoys improved business intelligence from their big data due to built-in machine learning capabilities.

“Google BigQuery is helping us revolutionize our Business Intelligence, understand the data about our business, and drive improvements in our customer experience.” - David Todd, Group Data Director, Travis Perkins

With internal and external business intelligence data sources in an integrated, cloud data warehouse, the Travis Perkins team can analyze huge sets of unstructured data—from videos to social media posts—in order to uncover new correlations and patterns. Those kinds of unique insights drive competitive business advantages not otherwise available.

Google Cloud Platform certifications

Certification courses give your team a chance to thoroughly learn the platform, and certifications let engineers demonstrate their knowledge. Of course, there are plenty of excellent engineers who do not have any certifications, but it is a type of due diligence, good for audit compliance, marketing, SEC, and meeting privacy rules.

The names of available Google Certifications describe what they cover. Those are:

  • Professional Cloud Architect
  • Professional Data Engineer
  • Professional Cloud Developer
  • Professional Cloud Network Engineer
  • Professional Cloud Security Engineer
  • G Suite Certification

Before GCP: How is your data?

Consulting firms are available to help manage a cloud migration, but many companies manage a migration simply be letting their developers, architects, and administrators get early access to free trials and product tiers. The Google Cloud Platform is one increasingly popular option for keeping an organization competitive in the cloud.

A crucial step before any cloud migration—regardless of how much is migrating or which platform you are using—is making sure that the company’s data is integral, accurate, and secure. The benefit of a modern, cloud-navtive big data platform like Talend is the seamless integration with Google Cloud Platform.

So before you start migrating, unify your data environment, establish governed self-service, put machine learning to work, and more. Try Talend Data Fabric to get started.

What is the Google Cloud Platform (GCP)? (2024)

FAQs

What is the Google Cloud Platform (GCP)? ›

Google Cloud is a cloud computing service by Google that offers hosting on the same supporting infrastructure that Google uses internally for end-user products like Google Search and YouTube. Cloud Platform provides developer products to build a range of programs from simple websites to complex applications.

What is GCP in Google cloud platform? ›

The Google Cloud Platform (GCP) is a suite of cloud services that offers server space on virtual machines, internal networks, VPN connections, disk storage, machine language SaaS (Software as a Service) applications, and even something called TPU (Tensor Processing Units).

What is the passing score for the GCP ACE exam? ›

70% or higher

What is the passing score for Google PCA exam? ›

The Google Cloud certification exam is a multiple-choice, multiple-response test. You will have two hours to complete the exam, and there is no limit on the number of questions you can answer. You must achieve a passing score of 70% or higher to earn your certification. The examination is administered by Google Cloud.

What is Google Cloud Platform for dummies? ›

Google Cloud Platform is a set of cloud computing services provided by Google that allow you to store, manage, and analyze data. It is also used for developing, deploying, and scaling applications on Google's environment.

What is the purpose of GCP? ›

GCP is a set of rules and guidelines designed to ensure the safety of participants in clinical trials and the integrity of data collected during clinical trials. It's also designed to protect the quality and reliability of data generated by clinical trials.

What is the GCP summary? ›

Good clinical practice (GCP) is an international ethical and scientific quality standard for designing, recording and reporting trials that involve the participation of human subjects.

Is GCP exam hard? ›

In conclusion, the Google Associate Cloud Engineer (GCP) exam is challenging, but it is also very achievable with the right preparation and dedication. The exam tests your knowledge and practical skills in various GCP services, cloud computing concepts, and infrastructure deployment.

What happens if you fail GCP exam? ›

If you don't pass the exam, you can take it again after 14 days. If you don't pass the second time, you must wait 60 days before you can take it a third time. If you don't pass the third time, you must wait 365 days before taking it a fourth time.

Is it easy to crack GCP ACE exam? ›

While there are no prerequisites for taking the Google Cloud Associate Cloud Engineer (ACE) exam, it won't be easy to pass without intensive preparation. Before attempting the exam, you should have at least six months of hands-on experience with Google Cloud products and solutions.

Is Google exam difficult? ›

The Google ACE certification test is an entry-level certification, so it is easier to obtain when compared to other industry certs. With that said, test candidates will still need to study to pass this exam. The Google ACE exam includes five sections covering different aspects of Google's cloud services.

What is the pass percentage for GCP? ›

Google Cloud do not publish the passing score, so you do not know what your score would be. All that is reflected on screen at the end of the exam is a Passed or Not Passed status. From my experiences in 5 GCP exams, I think the passing score is closer to 70-75% than 80%.

How hard is GCP PCA? ›

The PCA exam is a challenging exam, but it is also very rewarding. It covers a broad range of topics, including cloud architecture design, compute, storage, networking, databases, and security. I prepared for the exam by taking online courses, reading books and articles, and practicing with hands-on labs.

Is Google Cloud Platform easy? ›

The ease of using Google Cloud is the best functionality. You can essentially set it up and forget about it since you know it's storing everything seamlessly.

Is GCP better than AWS? ›

Both AWS and GCP provide scalable solutions, but AWS leads in terms of global reach with more availability zones and data centers. However, GCP is known for its high-performance computing engine, making it a strong contender for compute-heavy applications. Wide range of instance types for various workloads.

What is the difference between Google Cloud and GCP? ›

Google Cloud vs Google Cloud Platform

Google Cloud includes a combination of services available over the internet that can help organizations go digital. Google Cloud Platform (which provides public cloud infrastructure for hosting web-based applications and is the focus of this blog post) is a part of Google Cloud.

What is GCP Cloud Functions? ›

Google Cloud Functions is a serverless execution environment for building and connecting cloud services. With Cloud Functions you write single-purpose functions that are attached to events emitted from your cloud infrastructure and services.

What is GCP best for? ›

GCP offers an especially wide range of cloud computing services for businesses and end users. These include computing power, networking, data storage, data analytics, machine learning, artificial intelligence, and even app deployment and API integration.

What is the difference between GCP and AWS? ›

The biggest difference between AWS and GCP is size. AWS offers over 240 cloud products while GCP delivers about 150. Plus AWS has over 33% of the cloud services market compared to GCP's 11%.

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