AWS Vs Google Cloud – Which Is Better for Hosting?
Few people could have predicted the tremendous impact cloud computing would have on the world. Over the past 10 years, businesses have gone from battling with expensive and complicated on-site server rooms to cloud computing, which has proven to be more cost-efficient, reliable, and secure. This, in turn, has led to major providers investing money in hardware, software, and global network infrastructure with the goal of attracting more and larger customers. The heavy competition that exists in the field of cloud computing of AWS Vs Google Cloud has been a win situation for customers. Prices have been driven down, innovation is higher than it’s ever been, and customers are benefiting from the unparalleled performance.
When most people think about cloud computing providers, you think about one of the three major players in the industry – AWS, Google Cloud, and Azure. Today, we are going to focus on the pros and cons of two of these platforms, namely AWS Vs Google Cloud.
AWS still remains as the top choice for those looking for cheaper web hosting options. That being said, there are some advantages to using Google Cloud. What we will strive to do is present the pros and cons of each in an unbiased manner. Regardless of the platform you use, there are going to be some issues along the way. This is just the nature of this type of product.
AWS Vs Google Cloud: A Closer Look at AWS
Some of the more attractive aspects of AWS include:
At the heart of AWS, there are three services that drive its continuous cloud delivery:
1. AWS CodeBuild
This is a service that is fully managed and extensible. It provides constant scaling in conjunction with CI and CD. CodeBuild has the ability to scale automatically and to grow as your needs grow. An example of this would be the simultaneous deployment of different build versions. This makes it possible for you to perform comparison testing right into the production environment. CodeBuild is cost-efficient. This means a lot to organizations because you are billed for every minute of computer resource you use.
2. AWS CodePipeline
The service makes it possible for you to test, build, and deploy code every time you make a code change. This is done using the release process model you have previously defined. As a result, you can quickly roll out updates and new features having the confidence that they are going to be reliable and work. With this service, it’s easy to create end-to-end solutions, taking advantage of pre-built plug-ins that work with third-party services, including GitHub. The service makes it easy to integrate custom plug-ins at any point in the product release process. With AWS CodePipeline, there are no upfront fees or long-term contracts. You pay them for what you use.
3. AWS CodeDeploy
This is what will deliver the working package to all of the instances laid out by your pre-configured parameters. CodeDeploy makes coded deployments automatic to any instance. This would include Amazon EC2instances and on-premise servers. With AWS CodeDeploy, it is easier to quickly release updated features. Downtime during application deployment is minimized, and the complexity of updating applications is made easier. Since the code is agnostic, legacy code can be easily incorporated.
AWS has a number of native DevOps tools. There are also a number of third-party options, including Chef, Puppet, Jenkins, and more.
AWS Leader on Market Share and Offerings
It is clearly leading the market in the Infrastructure as a Service (IaaS) market. AWS has more than five years head start on its competition. This is why it is able to offer more cloud products and options. Comparatively, GCP is new on the scene. It does have a number of solutions that are on par with some of what AWS offers, but it still lags behind.
For example, if your business is looking for a fully managed cloud SQL solution in opposition of AWS Vs Google Cloud, Google Cloud can offer you PostgreSQL and its own managed MySQL solution. However, AWS offers Microsoft SQL Server, MariaDB, Aurora, and Oracle. For more details, you can check resources like HostingPill.
Another example of how AWS is leading the field is its AWS Lambda. This is a serverless computer product. This makes it possible for you to run code on the fly without needing to have a dedicated instance waiting for a request.
To be fair, Google Cloud Functions is a similar product, but it is limited in the languages it supports. Currently, it only supports serverless functions if they are written in Python or Node.JS. In early 2019, Google Cloud released Cloud Run, a serverless platform designed to make it possible to run any stateless request-driven container. However, the service is relatively new, and the jury is out on its effectiveness.
When it comes to worldwide accessibility, AWS has more data centers worldwide than GCP. This is an important point for those who are looking to do business in China or around the world. GCP access from China is limited. You are able to access GCP instances, however, accessing hosted files on Google Cloud Storage is prohibited in China, with the exception of Hong Kong.
Comparing AWS Vs Google Cloud
• AWS EC2 allows you to equip instances with up to 3904 GB of RAM and 128 vCPUs
• Google Compute Engine allows you to equip instances with up to 96 vCPUs and 624 GB of RAM
• AWS general volume sizes from between 1 GB to 16 TB. Provisioned IOPS SSD 4 GB to 16 TB
• Google Cloud Platform SSD volumes size ranging from 1 GB to 64 TB
Network- AWS Vs Google Cloud
• AWS EC2 maximum bandwidth of 25 Gbps
• GCP each core has a maximum of 2 Gb per second. Every additional core bumps up the network. So there could be a maximum of 16 Gb per second for each virtual machine
A Closer Look at Google Cloud Platform
Some of the more attractive features of Google Cloud platform in the competition of AWS Vs Google Cloud include:
• Budget-friendly pricing
• Open source capabilities thanks to it being one of the largest contributors to OSS with the creation of more than 2,000 open source projects in the last 10 years
• Google developed Kubernetes
Google would take umbrage with those who say that GCP is the newcomer when compared to Amazon Web Services. Their argument is that they are not new to the cloud. They may point to the fact that Google has used the cloud for internal projects, including Gmail, YouTube, and Google search, for a number of years. With the introduction of GCP, Google is simply letting other businesses enjoy the same time tested cloud service it has enjoyed for years.
Google Management Tools
This cloud platform includes a number of native management tools such as:
Google Compute Engine
This tool makes it possible for users to launch virtual machines when they want to on-demand. This makes automatic scaling and complete isolation possible, whether we are referring to a single instance or global. Compute Engines VM’s come equipped with persistent disc storage, boot fast, and deliver consistent performance. The virtual machines can be customized and optimized for a user’s specific needs, or a user can take advantage of one of the many preset configurations its virtual servers offer. GCE is similar to Amazon EC2.
GCP Deployment Manager
With Google Cloud Deployment Manager, you are able to determine the resources needed for an application in a declarative format. You can do this using Python orJinja2. This gets rid of the monotonous hassle of listing each step that’s necessary for deployment. When a development manager gets instructions what the final deployment should look like, GCP accesses the necessary tools and completes the process for you.
AWS Vs Google Cloud – Core Competency
If we talk about IWF Vs Google Cloud then we cannot but mention that while AWS focuses primarily on big data tools with a core competency for retail, Google core competency is machine learning and artificial intelligence. Google’s platform is continually refining itself and focusing on improving its AI chip, or the Tensor Processing Unit. This chapter focuses on machine learning using accelerated neural network computation. Google is currently using its AI chip to power a number of its own services. As of this date, Amazon has no equivalent.
GCP is using its advanced AI chip to protect against cybersecurity. This would make sense since Google is the world’s most popular search engine and is under constant threat from cyber attackers. To this end, Google has expended a lot of effort to make GCP easy to use and as secure as possible. As a default, GCP encrypts information between servers. AWS offers data encryption, but it is not by default. This is noteworthy because a number of successful cyber-attacks can be linked back to misconfigured cloud servers.
Google Cloud makes it possible for developers to encrypt their cloud applications at the application level. This means that they offer the highest level of data security possible. Users are able to identify and manage sensitive information using the Cloud DLP tool. This commitment to cybersecurity is also in its hardware. Many are unaware that Google is the third-largest server manufacturer on the planet. However, they don’t sell their servers. Instead, they use them solely for internal use, meaning that they have complete control over the process from start to finish.
Kubernetes is for AWS. However, since Google developed Kubernetes, Google Cloud platform users are able to get access to new features and deployments immediately. Rollouts on AWS are often delayed. Google Kubernetes Engine is the gold standard for running Kubernetes. This is one of the reasons why DevOps organizations find the Google Cloud Platform to be an attractive choice choosing AWS Vs Google Cloud.
AWS Vs Google Cloud – Which Is Better for Hosting?
Who is the winner when comparing AWS Vs Google Cloud? Both providers have their strong points and their weak points. AWS has a greater market share and more experience providing cloud service to the masses than GCP. GCP is experiencing a rapid rate of global expansion. They are quickly creating products designed to match those offered by Amazon.
AWS has been providing cloud computing services for businesses for more than 10 years. They are the force behind pushing the cloud industry forward. To be honest, they are what other so-called “leaders” in the cloud industry are trying to copy. AWS has redundancy, support, and availability that is second to none.
When looking at operation zones of AWS Vs Google Cloud, AWS is the clear winner. They currently operate in 49 zones spread over 18 geographic regions. Their future expansion includes up to 12 more availability zones. Google Cloud platform is in 13 regions and 39 zones. They have a global network offering hundreds of thousands of miles of fiber optic cable. Again, AWS is leading, and Google is making progress.
AWS is the clear leader when it comes to the number of customers and products that they offer. However, GCP offers functionality, pricing, and good configuration models. Their product is backed up by cybersecurity that is unparalleled in the industry.
While AWS’s large product offering may seem appealing at first unless the applications you use specifically needed them, it can be overwhelming. Some businesses feel that less is more when it comes to cloud options. For those who are newer to the cloud scene, the few yet powerful options of GCP may be a blessing because they require a slightly gentler learning curve. Google Cloud has an intuitive interface, flexible compute options, and preemptible instances, making it an attractive alternative to Amazon’s server.
At the end of the day, certain companies are going to be more attracted to certain cloud servers. If a firm runs Windows and a lot of Microsoft software, then Azure might catch their eye. If it’s a small web-based startup looking to scale fast, Google Cloud platform might be the best option. On the other hand, a business looking for a provider that has a large catalog of services and worldwide reach may be interested in AWS.
We would love to hear from you. What cloud provider do you currently use? What are the pros and cons you have found? Tell us in the comments section below.