Google Cloud Platform for Startups: Pros and Cons

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Google Cloud Platform (GCP) is a major actor in the cloud computing ecosystem. But not without competition from other mega-providers such as Amazon Web Services. With the current development in lower-cost alternative solutions, anyone considering GCP may wonder if they are getting the best bang for their buck.

As with any platform, GCP has advantages and disadvantages. And, when considering subscribing to a cloud provider, it is best to properly research all possibilities before deciding.

In this post, we’ll look at the benefits and drawbacks of GCP before discussing an alternative solution for enterprises looking for flexibility and scalability.

We will begin by explaining Google Cloud Platform (GCP), comparing it to the competitors and Google Cloud, outlining the services available, discussing security, and demonstrating how to get started. We also offer a thorough cloud computing bootcamp to help aspiring cloud professionals.

What is the Google Cloud Platform? Google Cloud Platform (GCP) is a collection of cloud computing resources and services that Google offers. GCP provides a diverse set of services, including databases, computing power, networking, storage, machine learning, and more, all supplied over the Internet. GCP enables businesses to quickly and efficiently design, deploy, and scale apps and services without having to manage or invest in physical infrastructure.

Yes, there is a difference. Google Cloud is a collection of Internet-based services that help enterprises go digital, and Google Cloud Platform is a subset of Google Cloud. Google Cloud also provides the following services:

Application programming interfaces (or APIs) for machine learning and enterprise mapping services, supplying software-to-software communication
Google Workspace, previously called G Suite and Google Apps, provides Gmail, organization identity management, and collaboration tools.
Enterprise versions of Android and Chrome OS. These systems connect users to web-based applications

Pros of Google Cloud Platform

1. Wide Range of Services

GCP offers various services including compute, networking, storage, big data, machine learning, and management. This allows their platform to fill the needs of diverse cloud computing requirements. This comprehensive suite of services ensures that businesses have the flexibility to choose the services that they need to build and run their applications.

2. Global Reach

GCP has a global network of data centers, which means that your applications can be accessed from anywhere in the world. This is important for businesses operating in regions where regulations require local data centers, like the European Union. It also allows businesses to have multi-region redundancy or choose to have their workloads hosted in cheaper regions.

3. Security

When it comes to safeguarding your valuable data against unauthorized access, GCP provides a range of robust security features. These features are designed to meet the stringent demands of the tech industry. GCP offers a suite of security measures, including Identity and Access Management (IAM), Key Management Service (KMS), and Security Command Center (SCC), which collectively work to fortify your data protection strategy.

Let’s take a closer look at the strength and weakness of each of these security measures:

Identity and Access Management (IAM) enables users to establish granular access controls and define permissions for users and resources. With IAM, you can precisely manage user identities, assign roles, and establish fine-grained access policies. This allows for the secure management of your cloud resources. IAM can be complex to configure and manage especially for businesses with intricate access control requirements. Users may also encounter Access Control Limitations ex: IAM roles are project-specific, so setting up access across multiple projects/organizations can be tedious.
Key Management Service (KMS) enhances the security posture by providing a dedicated key management service within GCP. KMS enables you to generate, use, and manage encryption keys. This ensures that your sensitive data remains protected at rest and in transit. By leveraging KMS, you can strengthen the encryption of your data and exercise control over the encryption keys. Thereby mitigating the risk of unauthorized data exposure. With KMS, GCP manages the infrastructure for encryption key storage and usage. This arrangement may raise concerns for businesses that require full control and custody of their encryption keys, particularly in highly regulated industries or those with strict compliance requirements.
The Security Command Center (SCC) acts as a centralized hub for monitoring and managing security threats within GCP. It offers comprehensive visibility into your cloud environment, enabling you to identify potential vulnerabilities, track compliance, and respond to security incidents effectively. SCC allows you to proactively detect and mitigate security risks. When leveraging GCP’s Security Command Center (SCC), beware that its monitoring coverage may not encompass all GCP services or third-party integrations. GCP users should conduct a thorough evaluation to ensure that SCC’s monitoring capabilities align with the unique characteristics and requirements of your virtual environment. This assessment will help determine if supplementary security tools or configurations are necessary to provide comprehensive security coverage across your infrastructure and integrations.

4. Innovative Features

GCP constantly introduces new features and enhancements, enabling businesses to stay at the forefront of technology. The comprehensive suite of tools offered by GCP empowers businesses to harness the power of data, deploy scalable infrastructure, and leverage machine learning capabilities, among other cutting-edge functionalities.

In a fiercely competitive market, the ability to leverage the latest technologies is crucial for maintaining a competitive advantage. Now while it’s enticing to have all these features accessible, if you’re not using them it may not be economical to have a VM with them integrated as it is increasing your cloud cost which adds up when you are running thousands of VMs.

Cons of Google Cloud Platform

Complex Pricing

GCP’s pricing structure can be complex, making it difficult for organizations to correctly forecast and manage their cloud computing expenses. Because a VM does not contain everything you will need to run it, such as storage and bandwidth, cloud quotes might be misleading unless you know exactly what you will be utilizing. This is problematic since in most firms, the cloud user and the cloud procurement individual are not the same person.

There have been numerous horror stories of people being caught off guard by big unanticipated cloud fees as a result of cybersecurity events or Google Cloud misconfiguration. This story of a firm that typically spends $1,500 per month on GCP receiving a $450,000 bill after their API key was hacked is just one example.

Before attempting to obtain a price from GCP, you should meet with your company’s end users to obtain precise requirements (or ranges) of: RAM, vCPU, storage, bandwidth, additional service addons, bursting predictions, workload growth projections, and so on. This will save you from being surprised by your GCP bill.There have been numerous horror stories of people being caught off guard by big unanticipated cloud fees as a result of cybersecurity events or Google Cloud misconfiguration. This story of a firm that typically spends $1,500 per month on GCP receiving a $450,000 bill after their API key was hacked is just one example.

Before attempting to obtain a price from GCP, you should meet with your company’s end users to obtain precise requirements (or ranges) of: RAM, vCPU, storage, bandwidth, additional service addons, bursting predictions, workload growth projections, and so on. This will save you from being surprised by your GCP bill. A detailed cloud assessment can streamline this process by providing a full evaluation of current infrastructure needs, enabling businesses to make more informed decisions about resources and cost optimization.

Limited Support

GCP’s support options may be restricted, posing challenges for businesses in need of immediate assistance. Limited assistance choices can have an impact on how quickly and effectively issues are resolved. Businesses may encounter delays in acquiring technical counsel or troubleshooting assistance, affecting system availability, performance, and overall productivity.

Businesses should consider taking additional steps to mitigate the possible issues associated with insufficient support. These may involve investing in internal expertise, using community forums and knowledge bases, engaging with third-party support providers, or researching professional services offered by GCP’s certified partner.

Security Concerns

Some businesses handling sensitive data may have concerns about GCP’s security. Although GCP offers robust security features and implements industry-leading practices to safeguard customer data, no system can claim to be entirely immune to security risks. The ever-evolving nature of cybersecurity threats means that businesses must remain vigilant and proactive in their security measures. Above I already addressed some of the concerns with the security features so I will spare you the repetition here.

What is Google Cloud Platform, and What are its Components?

GCP is broken down into many components, organized here according to function.

Cloud Computing

Compute Engine. Provisions virtual machine machines to deploy the application.
Google Kubernetes Engine (GKE). This service deploys applications while the Google Cloud handles autoscaling and load balancing.
App Engine. This is a scalable runtime environment mostly used to run Web applications. Since it provides a secure execution environment and numerous services, App Engine simplifies the creation of scalable and high-performance web apps.

Data Analytics

BigQuery. BigQuery makes large-scale data analysis accessible to everyone.
Dataflow. Dataflow is data flow analysis in control flow graphs, making optimization easier.
Pub/Sub. This asynchronous and scalable messaging service allows services to communicate asynchronously.

Machine Learning

Vertex AI Platform. This fully managed, unified AI development platform is designed for constructing and using generative AI.
AI Platform Training. Users can train AI models with the help of this component.
AI Platform Prediction. The prediction task lets users create and send a batch prediction job to Cloud AI Platform Prediction services.

Networking

Virtual Private Cloud. VPC lets you deploy your application in a private network accessible through Google Cloud.
Cloud Load Balancing. This vital service distributes the cloud across multiple copies of your applications.
Cloud CDN. This service caches the content and delivers it to end users through edge locations.

Productivity and Collaboration

Google Workspace. Google Workspace products (G Suite) include Calendar, Drive, Gmail, etc.
Cloud Identity and Access Management (IAM). Identity and Access Management (or IAM) allows administrators to authorize who can perform actions on specific resources. This gives administrators complete control and visibility to manage Google Cloud resources centrally.

Storage

Cloud Storage. There is plentiful storage, and it is easily accessible.
Persistent Disk. This storage disk can be attached to virtual machines.
Cloud SQL. This is a fully managed service by GCP, offering MySQL, PostgreSQL and SQL Server.

Getting Started with Google Cloud Platform

So, you’ve decided to sign up for GCP. Congratulations! Here’s how you get started.

Step 1. Select the plan based on your business. If you’re unsure but want to learn more about the service without a significant financial obligation, GCP will provide you a $300 free credit to get you started.
Step 2. Your free account will be valid for 90 days after you create it. You can now start creating your project, which means you can track all resource usage under this project.
Step 3. Billing begins when you start using the service, using a pay-as-you-go billing model; thus, you’ll be charged only for the resources you use.
Step 4. Carefully choose the services you want to use, depending on the needs of your application.
Step 5. Deploy your application to the cloud after you choose your services.
Step 6. Once you deploy the application, you can monitor your resource usage using GCPs’ services.

GCP‘s Competition

GCP isn’t the only player in town—and it’s not even the biggest cloud provider. Google Cloud Platform’s three biggest competitors are listed below.

Amazon Web Services (AWS): AWS is the most prominent global cloud computing provider, offering many services, including compute, databases, machine learning, storage, and more. It currently dominates the cloud computing market and is often considered Google Cloud’s primary competitor.
IBM Cloud: IBM Cloud offers a solid selection of cloud computing resources, which includes infrastructure as a service (IaaS), platform as a service (PaaS), and software as a service (SaaS). It is well known for emphasizing hybrid cloud solutions and enterprise-grade services.
Microsoft Azure: Azure is another heavy hitter in the cloud computing world, offering customers a comprehensive suite of services similar to AWS and Google Cloud. Azure benefits from Microsoft’s strong presence in the IT world and integration with many other popular Microsoft products and services.

Google Cloud Platform Security

Cloud security and integrity are significant concerns in the cloud computing community. As a result, Google Cloud Platform offers the following security options.

Access control. Depending on individual use cases, administrators can control individual user access, such as which services they can and cannot access.
Encryption. Google Cloud Platform offers security measures such as encryption during data transmission and storage.
Identity-aware Proxy (IAP). With IAP, users can manage application access according to context and identity, preventing unwanted or unauthorized access.
Network security. Administrators can create a VPC to secure the applications by deploying them in a private network and configuring the firewalls and security groups.

How Does Google Cloud Platform Help Startups?

Generally, startups need help in four major areas, and the GCP successfully helps startups in those areas. Let’s take a look at the top three important areas of development:

Faster development

To develop an app quickly, the GCP provides an App Engine and App Engine Flex. You just have to write down the code, and these tools will do the rest. As you keep coding simultaneously, Google will run and manage it for you. In no time, your app will be up and running in the Cloud quickly and efficiently. The main benefit is that you don’t have to run any operations and on-demand scale.

The App Engine (PaaS) works on the same principle. You don’t have to deploy any operations, and it provides on-demand scaling.

It provides internal integration. You can easily integrate your app with app engine flex, compute engine, or any other platform.

Provides affordable pricing solutions

GCP is 60% cheaper than other Cloud platform providers. Along with affordable pricing, it gives different discounts on committed use of the platform. When you decide to use it for one month, GCP gives a 30% discount.

It offers a per-minute billing system. When you use the system for 5 minutes, you only have to pay for the time you spent on the platform.

When you don’t have to use any particular type of solution in the GCP, in that case, that particular solution is locked in—you get a 57% discount, and you don’t have to pay any upfront fees.

Higher Scalability

One of the important features that startups look at in any Cloud platform is scalability and flexibility—the flexibility to go from one platform to another as they like. The GCP provides the flexibility required to switch from container engine to compute engine to app engine flex. GCP makes the path of scaling your app straightforward.

Easily switch from app engine flex in container engine or in compute engine.
Use big data and big query to scale your data. You can start from Cloud Datastore or Cloud SQL and can switch from Bigtable and run analytics. Then use Data proc, Big Query, or Dataflow to scale your data.
On Google’s Infrastructure: there’s no need to worry about getting problems with higher scalability when you are using on Google Infrastructure, which is the world’s biggest private network.
Machine Learning: you can use Google APIs to build fewer complex models. But to build more complex models, you have to use more sophisticated solutions and create more algorithms. In that case, machine learning can help you to make that more complicated software.

Let’s take a look at some of the key benefits of the GCP:

Scale your startup with 90+ Google Cloud tools

Google Cloud has everything that you need to build and scale your startup. From development, testing, documentation, security, database management, organization, communication, data storage, networking, data development, and AI, Google Cloud covers everything with its 90+ tools and software. You can easily integrate your app with other APIs and development environments.

Get support from top engineers

Using GCP tools into your tech stack is like including top engineers in your startup. All the tools available in the GCP are created by world-class engineers, which are constantly reviewed and updated by them. Thus, you only have to focus on developing your app instead of doing monthly maintenance.

Get additional benefits from GCP resell partnerships

GCP has a network of affiliate partners which ensures that you can use the GCP to its full extent. Partnering with Google Cloud partner resellers has many advantages like getting extra, customizable support for free which can include implementation, a specialized training workshop, an audit, or a combination package.

A page especially for startups by Google Cloud

With all the features, tools, benefits, and support Google Cloud provides to startups, they have an entire space that is dedicated to startups to provide all the information about Cloud credits, training, along with startup articles and podcasts to give everything entrepreneurs need to build up a successful startup.

How is Google Cloud Different From AWS

These two cloud computing systems differ in terms of database possibilities, computational services, networking and storage capabilities, and overall security features and offerings. Let’s look deeper into the differences between Google Cloud and AWS to help you decide which platform is better for you.

Computing Services

As mentioned, cloud computing services are web-based and provide computing resources on demand. Developers can use them to build and run their applications without worrying about managing the underlying infrastructure. Here’s how GCP and AWS differ in the offered products and services.

Google Cloud Platform provides users with:

Google App Engine: As a platform-as-a-service product, Google App Engine allows developers to create web applications on a remote server.
Google Compute Engine: This is an infrastructure-as-a-service offer that provides virtual machines for many purposes.
Google Kubernetes Engine: The GCP’s managed container service allows users to deploy and manage containers on GCP.

On the other hand, AWS delivers the following computing products:

Amazon Elastic Compute Cloud: Amazon’s infrastructure-as-a-service offering provides users access to virtual machines.
Amazon EC2 Container Service: This is Amazon’s container service that allows for easy management and deployment of containers.
AWS Lambda: A serverless computing platform or AWS Lambda helps developers run code without provisioning or managing servers.

Networking Features and Services

Both GCP and AWS offer quality networking features and services. In terms of GCP, these include:

Cloud DNS
Cloud VPN
Cloud Load Balancing

AWS, on the other hand, provides:

Amazon Route 53
Amazon Virtual Private Cloud (VPC)
AWS Direct Connect

Although all these offerings are of good quality, you may want to consider your needs before opting for one or another. For instance, load balancing in Google is excellent in terms of speed, as it can load 0-1 million requests per second with no pre-warming. Meanwhile, AWS elastic load balancing can automatically scale to meet your needs.

Storage Features and Services

Both GCP and AWS offer convenient storage features and services. In the case of the former, these include Cloud Storage, Cloud SQL, and Cloud Spanner. The latter provides Amazon Simple Storage Service (S3), Amazon Glacier, and Amazon Elastic Block Store (EBS).

While we can say that both platforms are well equipped with storage features and services, Google may be one step ahead, especially for customers working with AI and big data. For instance, Google Cloud Spanner can process up to two billion queries per second at peak, and Google Bigtable over five billion requests.

GCP’s clients are currently processing data beyond petabytes thanks to BigQuery, which can take terabytes of data per second. Moreover, Google’s Vertex AI is highly competitive in big data analytics. It can train and deliver machine learning models with 80% less code. Therefore, if you are looking for big data and analytics, the best storage service will be GCP.

Database Options

GCP and AWS offer databases with different capabilities. The former provides users with:

Cloud SQL
Cloud Datastore
Cloud Bigtable

On the other hand, AWS’s databases capabilities include:

Amazon DynamoDB
Amazon SimpleDB
Amazon Relational Database Service (RDS)

Security Features and Services

Security is one of the top priorities of all businesses with an online presence. Therefore, GCP offers the following advanced security options:

Cloud Identity and Access Management (IAM): This allows you to control who has access to your cloud resources.
Cloud Key Management Service (KMS): The service helps you manage and rotate your encryption keys.
Cloud Security Scanner (CSS): As the name suggests, the CSS scans your cloud resources for potential security vulnerabilities.
Google Cloud Armor: This product protects your applications from web attacks.
Google Identity-Aware Proxy: The proxy verifies the user’s identity before allowing access to your Google Cloud resources.

AWS also has high user protection in place, including:

Amazon Identity and Access Management (IAM): This allows you to control who has access to your AWS resources.
Amazon CloudWatch: As a monitoring service, CloudWatch helps you keep an eye on your AWS resources and applications.
AWS Elastic Beanstalk: The service aids you in deploying and managing your applications on AWS.

The Google Cloud Platform is constantly evolving by growing its global resources, regions, and availability zones, increasing user availability and lowering latency. GCP improves in response to industry changes and is expected to play an important role in assisting enterprises to prosper in this increasingly digitalized environment.