What Is GCP? A Guide to Google’s Cloud Universe

Written By April Bohnert | September 13, 2023

Google Cloud Platform, or GCP. While it may have been a latecomer to the cloud party compared to AWS and Azure, don’t let that fool you. GCP has managed to carve a unique identity, packed with a wide range of features and an open-source spirit that aligns closely with modern development cultures. More than just another cloud provider, it’s a comprehensive suite of solutions that cater to varied business needs, from startups grappling with scale to Fortune 500 companies managing vast, complex architectures.

In this post, we’ll unpack what GCP is, delve into its key features, discuss the skill set needed to master it, and shed some light on the hiring outlook for those armed with GCP expertise. 

What is Google Cloud Platform?

When most people hear “Google,” they think of the search engine that’s virtually synonymous with the internet itself, or perhaps Android, the popular mobile operating system. But Google’s reach goes far beyond that, extending into the realm of cloud computing with Google Cloud Platform, or GCP for short. Launched in 2011, GCP might have been late to the cloud party compared to Amazon’s AWS (which emerged in 2006), but it came in strong, leveraging years of experience running high-traffic, high-availability services like Google Search, YouTube, and Gmail.

So what exactly is GCP? At its most basic, Google Cloud Platform is a collection of cloud computing services. It allows users to do everything from hosting websites and applications to crunching big data to building and implementing machine learning models. But saying that GCP is a collection of cloud services is a bit like saying a Swiss army knife is a cutting tool — it’s accurate but fails to capture the versatility and depth of what’s on offer.

GCP provides a range of services under different computing models — Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and even serverless computing. It offers these services on a global network — the very same network that handles the billions of Google search queries and YouTube videos that people consume every day. This ensures both rapid and reliable service execution and delivery.

But what really sets GCP apart is its core features, which boil down to three main points:

Open Cloud: GCP is deeply committed to open-source technologies. This is evident in its robust support for Kubernetes, the open-source container orchestration platform that Google originally designed. This focus on openness allows for smoother transitions and interoperability between different cloud providers and on-premises solutions.

Data at the Core: Google’s heritage is all about handling data, whether it’s sorting it, analyzing it, or making it useful. This data-centric ethos is woven into every fiber of GCP, especially in its array of database solutions, data analytics tools, and machine learning services.

Security First: Given its history of managing massive amounts of sensitive consumer data, Google naturally places a high premium on security. This is manifested in GCP’s stringent identity management protocols and extensive network security features.

By now, you should have a sense that GCP isn’t merely playing catch-up; it’s a serious contender with its own unique strengths and offerings. As it continues to grow in market share, so does the range of career opportunities for professionals skilled in navigating this expansive platform.

Key GCP Offerings

Google Cloud Platform is more than just a sum of its parts — it’s a cohesive toolkit designed to solve complex problems in modern computing. Here’s a rundown of some of its standout service offerings.

Compute Engine: Virtual Machines

Starting with the basics, Compute Engine allows users to deploy virtual machines (VMs) that are tailored to their needs. Need a Linux-based machine with specific CPU and memory requirements? No problem. Compute Engine gives users that flexibility while providing the benefits of Google’s infrastructure, like faster disk speeds and global reach.

App Engine: Platform as a Service

For those who aren’t keen on managing their own servers and just want to focus on their code, App Engine is the answer. It’s a fully managed platform that takes care of all the underlying infrastructure, so users can deploy web apps and APIs with ease. And it scales automatically, meaning if an app suddenly goes viral, its developers won’t be up all night figuring out how to handle the traffic.

Kubernetes Engine: Managed Kubernetes

Born from Google’s experience with containers, Kubernetes Engine is a managed Kubernetes service that enables users to deploy, manage, and scale containerized applications. For businesses that have a microservices architecture — or are moving in that direction — Kubernetes Engine simplifies their workflow dramatically.

Cloud Functions: Serverless Architecture

For those times when a user needs to run a function in response to an event — like processing an image upload or handling an API request — Cloud Functions comes into play. It’s a serverless platform that automatically scales the compute resources, so users only pay for the compute time they actually use.

Cloud Storage and Databases

GCP offers a broad range of storage options to suit different needs. Cloud Storage for object storage, Cloud SQL for relational databases, and Firestore for NoSQL needs are just a few examples. This flexibility makes it easier for users to design an architecture that fits the way their application works.

BigQuery: Data Analytics

BigQuery takes data analytics to the next level. It allows users to run super-fast queries on massive datasets, all without having to manage any infrastructure. It’s like having a supercomputer at your fingertips, only better because it’s in the cloud.

Machine Learning and AI Services

GCP’s machine learning and AI capabilities are among its standout features. Whether you’re a seasoned data scientist or a developer wanting to integrate machine learning into your app, services like AutoML and TensorFlow make it possible.

Networking Features

Google’s robust global network is one of GCP’s unsung heroes. Load balancing, CDN capabilities, and VPC (virtual private cloud) are all part of the package, ensuring that services are fast, secure, and scalable.

Security and Identity Features

We touched on this briefly before, but it’s worth reiterating. GCP has robust security protocols, with end-to-end encryption, identity and access management, and numerous compliance certifications to protect sensitive data.

Open-Source Integrations

The affinity for open-source solutions isn’t just a philosophy; it’s a feature. GCP offers various integrations with open-source platforms, making it easier to bring your existing tools into the cloud environment.

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Must-Have Skills for GCP

Understanding Google Cloud Platform isn’t just about knowing what each service does; it’s about knowing how to integrate these services to build comprehensive solutions. These skills are invaluable for anyone looking to master GCP.

Cloud Fundamentals

Before you dive into GCP-specific services, a solid understanding of cloud computing basics is essential. Concepts like virtualization, containerization, and distributed computing will give you a sturdy foundation to build upon.

Infrastructure and Deployment

Knowing how to set up and manage a virtual machine on Compute Engine or how to deploy a web application on App Engine can be critical. You should be comfortable with command-line tools as well as GCP’s console.

DevOps and Automation

The cloud is most effective when you can automate repetitive tasks. Skills in continuous integration and continuous deployment (CI/CD) are valuable. Familiarity with tools like Jenkins, GitLab, or GCP’s own Cloud Build can go a long way.


Given GCP’s strong support for Kubernetes, understanding containerization technologies like Docker is a big plus. This is particularly important if you’re dealing with microservices architectures or want to ensure application portability.

Data Management

Whether it’s storing data in Cloud SQL, a relational database service, or dealing with NoSQL databases like Firestore, understanding data storage, retrieval, and manipulation is key. Also, skills in data analytics can be a huge asset, especially with tools like BigQuery.

Programming Languages

GCP supports a variety of programming languages like Python, Java, Go, and Node.js. The more languages you or your developers are comfortable with, the more versatile your solutions can be.


A grasp of networking basics like HTTP/HTTPS, VPNs, and VPCs can be beneficial. Google Cloud Platform offers advanced networking features, and knowing how to implement these can make your applications more secure and efficient.

Security Protocols

Security should be a priority, not an afterthought. Understanding identity and access management, encryption protocols, and general cybersecurity best practices can protect your resources and data.

Machine Learning and AI

If you’re looking to implement machine learning models, a basic understanding of machine learning algorithms and experience with tools like TensorFlow will be invaluable. GCP’s machine learning services are user-friendly but can be powerful in the hands of those who know what they’re doing.

Soft Skills

Last but not least, effective communication, problem-solving abilities, and a knack for innovation can make your technical skills even more impactful. After all, technology is as much about people as it is about computers.

Developing proficiency in these areas can significantly up your GCP game, whether you’re a developer, a cloud architect, or a DevOps engineer. And for hiring managers, this list can serve as a useful guide for what to look for when bringing new talent on board.

The Hiring Outlook for GCP Skills

The reverberations of Google Cloud Platform’s growth are unmistakable in the job market. As the cloud becomes an integral part of business operations across sectors, the hunger for GCP expertise is intensifying. 

According to the 2022 Global Knowledge IT Skills and Salary Report, Google Cloud certifications such as Professional Cloud Architect and Professional Data Engineer are some of the highest-paying certifications in North America, garnering average annual salaries of $154,234 and $148,682 respectively, and reflecting the high demand for GPC skills. It’s not just about specialized roles either; the demand for GCP know-how spans multiple job titles, from DevOps engineers responsible for automation and deployments to SysOps administrators who ensure the smooth running of cloud services on GCP.

The significance of cloud computing, and GCP skills in particular, can’t be understated. For tech mavens, proficiency in GCP offers a gateway to a rewarding career, flush with opportunities for innovation and growth. For those in hiring roles, pinpointing and securing GCP talent is less a luxury and more a critical ingredient for staying competitive.

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