Cloud computing has taken our world by storm. For most businesses and enterprises, gone are the days of struggling with complicated networking. Over the last ten years, cloud computing has evolved into a more secure, cost- efficient and reliable platform. The major providers in the industry are now investing heavily in their hardware, software, and global networking infrastructure to obtain more market share, which has resulted in unparalleled performance. Healthy competition is always a win for consumers and partners as this drives costs down and requires them to constantly innovate to stay ahead.
AWS vs Google Cloud Platform
Starting off with Amazon Web Services (AWS), it has already provides virtual hosting for some of world’s most complex IT environments, making it one of the most powerful global networks. Its data centers are fiber linked and arranged all over the world. In AWS the payments are scheduled according to the services you use down to the millisecond of compute time. In a nutshell, AWS is a fast and relatively easy way to migrate your DevOps to the cloud.
On the other hand, Google Cloud Platform’s (GCP) DevOps is seriously worth considering too. GCP has an ever growing list of possibilities and capabilities such as Android studio, visual studio, powershell, eclipse and many more.Google Cloud Platform is essentially made up of a lot of different services and solutions which allow you to utilize the same software and hardware infrastructure that Google uses for their own products, such as YouTube and Gmail. They launched their first service, Google App Engine in a public preview in 2008.
To name the very few main benefits of AWS like automation, secure web storage, programmable big data, pay as you go option etc.
In AWS, the three core services are:
AWS CodeBuild This is a adjustable, fully managed build service that provides continuous scaling along with CI and CD. CodeBuild offers automatic scaling and grows on demand with your needs, for example, the simultaneous deployment of two different build versions, which allows for comparison testing in the production environment. Particularly important for many organizations is CodeBuild’s cost efficiency, because you are charged by the minute for the compute resources you use.
AWS CodePipeline It builds, tests, and deploys your code every time there is a code change, based on the release process models you define. This enables you to rapidly and reliably deliver features and updates. You can easily build out an end-to-end solution by using the pre-built plugins for popular third-party services like GitHub or integrating your own custom plugins into any stage of your release process. With this CodePipeline, you pay for what you use — no upfront fees or long-term commitments.
AWS CodeDeploy delivers the working package to every instance outlined by your preconfigured parameters. AWS CodeDeploy automates code deployments to any instance, including Amazon EC2instances and on-premises servers. AWS CodeDeploy makes it easier to rapidly release new features, helps in avoiding downtime during application deployment, and handles the complexity of updating the applications. It is code-agnostic and easily incorporates common legacy code.
In addition to native AWS DevOps tools, there are some 3rd party options like Chef, Puppet, Jenkins etc.
Google Cloud Platform
Google Cloud Platform is made up of a lot of different services and solutions to utilize the same software and hardware infrastructure that Google uses for its own products (like YouTube and Gmail).
Some of the main GCP’s benefits are that it is one of the largest and most advanced computer networks, and it gives you an access to the numerous tools to help you focus on building your application. Stackdriver Monitoring, Stackdriver debugger, Stackdriver Logging, security scanner service (App Engine) and many more. You can use them all immediately as part of your application lifecycle pipeline.
Native management tools for the Google Cloud environment includes:
- Google Compute Engine Google Compute Engine allows users to launch virtual machines on demand. This is one of the primary services for complete isolation and automatic scaling from single instances to global. Compute Engine’s VMs boot quickly, come with persistent disk storage, and deliver consistent performance. Its virtual servers are available in many configurations including predefined sizes or the option to create Custom Machine Types optimized for specific needs. Note, if you compare, Amazon EC2 is essentially the same thing as Google Compute Engine.
- GCP Deployment Manager Google Cloud Deployment Manager allows you to specify all the resources needed for your application in a declarative format using yaml (or Python, or Jinja2). This means that rather than painstakingly listing each step that will be required for a deployment, DevOps teams can tell Deployment Manager what a final deployment should look like and GCP will use the necessary tools and processes for you. When a perfect deployment procedure is developed, it is saved to be repeatable and scalable on demand. With Google Cloud Deployment Manager you can do deploy many resources at one time, in parallel, pass variables into your templates and get output values back, view your deployments in the Google Cloud Console in a hierarchical view and more…
- GCP Cloud Console Cloud Console gives you a detailed view of every detail of your DevOps in the cloud. Web applications, data analysis, virtual machines, data store, databases, networking, developer services… Google Cloud Console helps you deploy, scale and diagnose production issues in a simple web-based interface. From virtual machines to release management and rollback, master, monitor and manage all things GCP from the desktop or on the go.
Nowadays cloud computing has become more cost-efficient, reliable and secure. All the major providers are now investing in their hardware, software, and global networking infrastructure to obtain more market share. As the quality remains almost equal, the difference between main cloud computing providers lies mostly in price and the number of options you get. AWS leads in terms of the numbers of customers and products. On the other hand, GCP already provides all the necessary functionality and offers good pricing along with configuration models, backed up by serious traffic privacy and security measures.