Which is Best For the DevOps in the Cloud | Google Vs AWS Cloud Platform

By | September 27, 2019

Which is Best For the DevOps in the Cloud | Google Vs AWS Cloud platform

A few months ago, I posted an article about the pros and cons of serving as a service DOPS. There I mentioned AWS and the Google Cloud Platform as the main platforms most often used by DoOps. The giants also have Microsoft Azure. But I’ll try to come back to it later. So, today I’m going to make a basic comparison to AWS vs. Google Cloud Platform in terms of using these cloud computing providers for DOPS. Nowadays, many organizations are embracing DOOs and moving their apps to the cloud. Basically, this is the transfer of your tools and processes to the continuous delivery of the host virtual platform. How to Choose a Better Cloud Computing Provider?

You already know that DevOps as a Service (DOS) is a delivery model for a set of tools that facilitates collaboration between the software development team and the operational team. In this model, DAS collects different provider tools that cover different aspects of the overall process and integrates them to work together as a unit.

Google Vs AWS Cloud platform

Let’s start with Amazon Web Services (AWS). AWS has already developed a powerful global network to provide virtual hosts to some of the world’s most complex IT environments. Its data centers are fiber-connected and deployed around the world. Payment at AWS is determined by the services you use up to milliseconds of computing time. In a nutshell, AWS is a fast and relatively easy way to migrate your DOPS to the cloud.

The Google Cloud Platform (GCP) DOOs option is also worth considering. This global network’s growing list of capabilities already includes support for platforms such as Visual Studio, Android Studio, Eclipse, PowerShell and many more.

GOOGLE

The Google Cloud Platform contains many different services and solutions for using the same software and hardware infrastructure that Google uses for its products (such as YouTube and Gmail). Some of the key benefits of GCP are that it is one of the largest and most advanced computer networks, and it gives you access to numerous tools to help you focus on building your application. does. Stack driver monitoring, stack driver debugger, stack driver logging, security scanner service (app engine) and more.

1:Google Compute Engine Google Compute Engine allows users to run virtual machines on demand. This is one of the basic services for global isolation and auto-scaling from a single instance. Boot computer engine VMs quickly, come with permanent disk storage and offer consistent performance. Its virtual servers are available in a number of configurations, including the option to create customized machine types for a default size or specific needs. Note, if you compare, Amazon EC2 is basically the same thing as Google Compute Engine.

2:GCP Cloud Console The Cloud Console gives you a detailed overview of every detail of your DOOps in the cloud. Web Applications, Data Analysis, Virtual Machines, Data Store, Database, Networking, Developer Services… Google Cloud Console lets you deploy, scale, and diagnose production issues in a simple web-based interface. Perform GCP of everything from virtual machines to management and rollback, master, monitoring and desktop or on the fly. With the GCP Cloud Console for drops, you can easily charge a cloud-based continuous delivery cycle.

3:With Google Cloud Deployment Manager, you can, in parallel, move many resources to your templates and retrieve output values, view your deployments in the Google Cloud Console and More. This means that instead of having to list every step of the effort required for a fixed payment, DevOps teams can tell the deployment manager what the final deployment should be and how GCP will use the tools and processes you need. ۔ When the perfect deployment process is ready, It is saved to reclaim and expand demand.

AWS

No need to name all the obvious benefits of AWS such as ‘automation’, ‘secure’, ‘programmable’, ‘as you go’, etc. At AWS, there are three special services that are the core of continuous cloud delivery:

1:AWS Code Blood is an expandable fully-operated blood service that provides continuous scaling along with CIs and CDs. CodeBlood offers automatic scaling and increases demand according to your needs, for example, simultaneous deployment of two different blood versions, which allows comparison testing in production environments. Especially for many organizations, the cost of code build is essential, because the computing resources you use cost you a minute.

2:AWS CodeDeploy CodeDeploy provides a working package for each example that outlines your pre-configured parameters. AWS CodeDeploy automates the deployment of code for any instance, including Amazon EC2inament and on-premises servers. AWS helps avoid timeouts during application deployment and handles the complexity of updating applications. It is code-ingested and easily incorporates shared heritage code.

3:The AWS Code pipeline builds, tests, and determines your code according to this release process model, each time you specify it. This enables you to quickly and reliably deliver features and updates. No explicit fees or long-term commitments.

Google Cloud AWS Collation Table

Computer

You can equip AWS EC2 instances with 128 vCPUs and 3,904 GB of RAM. You can have Google Compute Engine for example equipped with up to 96 VCPUs and up to 624GB of RAM.

Network

AWS Amazon EC2 instances have a maximum bandwidth of 25 Gbps, however, this is only on the largest example. Standard example maximum at 10 Gbps / second. Vs. GCP is subject to a 2 Gbps / sec (GBPS) cap for each basic peak performance. Each additional core adds a network cap, up to a maximum of 16 Gbps, theoretically for each virtual machine.

Storage

AWS general volume sizes from 1GB to 16TB, and IBPS SSD vs 4GB to 16TB vs GCP SSD, volume size 1GB to 64TB

Billing

AWS Generic Monthly Calculator vs Google Cloud Platform Pricing Calculator (I didn’t specify pricing objective – you need to enter your required parameters to see prices)

Security

  • The AWS platform security model includes: All data stored on EC2 events is encrypted under 256-bit EES and each encryption button is encrypted with a set of regularly changed master keys.
  • Is done Network firewalls built into the Amazon VPC, and web application firewall capabilities in AWS WAF let you create a private network and control access to your examples and applications.
  • AWS Identification and Logistics Management (IAM), AWS Multi-Factor Authentication, and AWS Directory Services allow the user to define, implement and manage access policies.
  • AWS features audit friendly services for PCI, ISO, HIPAA, SOX and other compliance standards.

Google Cloud Security

  • All data is stored on a permanent disk and encrypted under 256 bit AES, and each encryption is encrypted with a set of regularly changed master keys.
  • Commit to default enterprise security certification (SSAE16, ISO 27017, ISO 27018, PCI, and HIPAA compliance).
  • Only certified and authorized requests are required from other components that come into the Google storage stack.
  • Launched in September 2017 to provide specific roles to Google Cloud Identity and Access Management (Cloud IAM), which provides granular access to specific Google Cloud Platform resources and prevents unwanted access to other resources ۔

Insights For DevOps

When you choose your provider, it is very important to keep an eye on your statistics which include the following parameters:

  • Server and VM Health and Stats
  • Request Health
  • Precision Testing Results
  • Network Volume Security and Delivery Control list activity
  • Database transactions

Nowadays cloud computing has become more cost-effective, reliable and secure. Now all major suppliers are investing in their hardware, software and global networking infrastructure to gain more market share. Due to their competitiveness, DOPS teams have found highly sophisticated, easy-to-use, fast and high-end solutions. Because the quality is almost the same, the main difference between central cloud computing providers is the cost and the number of options you have.

What may matter is these operation zones. AWS operates on 49 availability zones within 18 geographic areas, 12 announced availability zones and four more areas in Bahrain, Hong Kong SAR, Sweden and plans for another AWS GovCloud area in the United States. ۔ While the Google Cloud Platform has 13 regions, 39 zones, over 100 points, and is a global network with 100,000 miles of fiber optic cable.

Support Box

AWS Documentation AWS Forums Google vs Cloud Forums Google Cloud Documents.

 

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