A DevOps professionals and the opposition as a service. There I mentioned the main platform of the AWS vs Google Cloud Platform, which is often used by Devops.
Why can not we make small comparisons for them? Certainly, between veterans Microsoft is also Ezur. But I will try to come back later.
So, today I am going to make a basic comparison for AWS vs Google Cloud Platform in the period of using these cloud computing providers for DevOps.
As i hope you already know, DevOps (Das) as a service is a delivery model for a set of tools that facilitates collaboration between a software development team and the operations team.
In this model, the slave provider collects different tools that cover different aspects of the overall process and add them to work together as a unit.
Nowadays, many organizations customize DevOps and migrate their applications to the cloud. Basically, this is a migration of processes for continuous delivery on your host and virtual platform. How to choose a AWS vs Google Cloud Platform better cloud computing provider?
AWS vs Google Cloud PlatformWhat is better for DevOps in the cloud?
Let’s start with Amazon Web Services (AWS). AWS has already created a powerful global network to provide a virtual host for some of the most complex IT environments in the world.
Its data centers are fiber-connected and systematized all over the world. Payment calculation services in AWS are determined according to the services used in milliseconds.
To summarize, AWS is a fast and easy way to migrate your Devops into the cloud.
The Google Cloud Platform (GCP) DevOps option is also seriously worth considering. The growing list of capabilities of this global network already includes support for such studios, visual studios, Android studios, eclipses, powerhouses and many others.
There is no need to name all the obvious AWS main benefits like ‘Automation’, ‘Safe’, ‘Programmable’, ‘Pay-a-U-Go’ etc.
In AWS, there are three basic services for continuous cloud delivery:
AWS CodeBull is an extensible, fully managed build service that provides continuous scaling with CI and CD.
Codebild provides automatic scaling and increases with your needs on demand, for example, simultaneous deployment of two different build versions, which allows comparison testing in production environments.
Especially important for many organizations, cost efficiency of codebild is because you are charged for the calculation resources you use.
The AWS codeline builds, tests and deploys your code every time you change the code code based on the release process model that you define. This enables you to deliver features and updates quickly and reliably.
You can easily create solutions to the end by using a pre-built plugin for popular third-party services like Pithead or integrating your own custom plugin at any stage of your release process. With this codepipline, you pay for whatever you use – no advance fees or long term commitments.
AWS code deployment code diploma provides a work package in each of the examples outlined in your preconfigured parameters. AWS Code Diploma automates code deployment on Amazon, on any example including EC2 instances and on-premises servers.
AWS Code Diploma makes it easy to release new features faster, the application helps avoid downtime during deployment, and controls the complexity of updating the app. This code is an agnostic and easily adds a general heritage code.
In addition to the native AWS Devops tools, there are some third party alternatives like Chef, Puppet, Jenkins etc.
Get details about AWS for DevOps. Some useful tips can be found on AWS Devops Blog.
Google Cloud Platform
Google Cloud Platform is made up of many different services and solutions to use the same software and hardware infrastructure that Google uses for its products (such as YouTube and Gmail).
Some of the benefits of the main GCP is that it is the largest and most advanced computer network, and it provides access to many tools to help you focus on the creation of your application.
Stackdriver Monitoring, StackDriver Debugger, StackDriver Logging, Security Scanner Service (App Engine) and many others. You can use them as part of your application life cycle pipeline immediately.
The basic modules for the Google Cloud Environment include the following modules:
Google Compute Engine allows Google Compute Engine users to launch virtual machines on demand. This is one of the primary services for complete isolation and automatic scaling up to global from single instances.
Quickly boot the VM of Compute Engine, come with continuous disk storage, and provide continuous performance.
Its virtual servers are available in many configurations, including the option of creating custom machine types customized for predefined sizes or specific requirements.
Note, if you compare, Amazon EC2 is essentially the same as Google Compute Engine.
The GCP Deployment Manager Google Cloud Deployment Manager allows you to specify all the resources needed for your application in the declarative format using yaml (or Python, or Jinja2).
This means that instead of painting each phase required for deployment, the Devops team can tell the deployment manager to see what the final deployment should look like and the GCP will use the tools and procedures required for you.
When a complete deployment process is developed, it is saved on demand, repeatable and scalable. With Google Cloud Deployment Manager, you can deploy many resources at the same time, in parallel, you can pass variable.
Variables in your templates and get back the output value, in the hierarchical view of your pension in Google Cloud Console. even more …
GCP Cloud Console Cloud Console gives you a detailed view of every detail of your DevOps in the cloud.
Web application, data analysis, virtual machine, datastore, database, networking, developer services … Google Cloud Console helps you deploy, scale, and diagnose production problems in a simple web-based interface.
To release management and rollback from virtual machines, master, monitor, and manage all things in GCP on the desktop or on the fly. With GCP Cloud Console for DevOps, you can easily charge the cloud-based continuous distribution cycle.
Find out more about the Google Platform for DevOps here. Also, you can read some useful tips mentioned in DevOps Guides, which I have just linked to the same page. The documentation can be found here.
AWS vs Google Cloud Platform Comparison Table To Compute
You can equip AWS EC2 examples with 128 VCPUs and 3,904 GB RAM.
You can equip Google Compute Engine examples with 9 6 VCPU and 624 GB RAM
Storage / disk
Normal with volume size of 1 GB to 16 TB, and IOPS SSD from 4 GB to 16 TB was provided
SSD, volume size from 1 GB to 64 TB
In the example of Amazon EC2, there is a maximum bandwidth of 25 Gbps, however, it is only on the largest example sizes. Standard example max 10 gbps / sec.
Each core is subject to 2 GBbit / second (GBPS) cap for extreme performance. Each additional core network increases the workforce, up to theoretical maximum of 16 GBps for each virtual machine.
Billing and pricing
AWS Simple Monthly Calculator
Google cloud platform pricing calculator
(I did not mention the prices on purpose – you need to enter your required parameters to see the pricing).
AWS platform Google
Google Cloud Documentation
AWS platform safety models include:
- Encrypted at EC 2 examples is encrypted under 256-bit AES and each encryption key is also encrypted with a set of regular master key set.
- With web application firewall capabilities in the network firewall created in Amazon VPC, and AWS WAF, you can create private networks and control access to your examples and applications.
- Amazon AWS Identification and Access Management (IAM), AWS Multi-Factor Authentication, and AWS Directory Services allow user to define, implement, and manage access policies.
- AWS has audit-friendly service features for PCI, ISO, HIPAA, SOC and other compliance standards.
Google Cloud Security models include:
- All data stored continuously on disk and is encrypted under 256-bit AES, and each encryption key is also encrypted with a set of regular key master keys. by default.
- Commitment of Enterprise Security Certificates (SSA16, ISO 27017, ISO 27018, PCI, and HIPAA Compliance).
- Only certified and authorized requests are required from other components coming to the Google Storage Stack.
- Google Cloud Identity and Access Management (Cloud IAM) was launched in September 2017 to provide predefined roles that provide granular access to specific Google Cloud Platform resources and prevent unwanted access to other resources.
The Most Important Telemetry Insights for DevOps
When you have chosen your provider, it is very important to keep an eye on your statistics, in which the next parameter should be included:
- Server and vm health and statistics
- Application health
- Automatic test results
- Network volume
- Security and access control list activity
- Database transactions
Nowadays cloud computing has become more cost-effective, reliable and secure. All major providers are now investing in their hardware, software and global networking infrastructure to get more market share.
Due to competition between them, Devops teams received a very sophisticated, easy-to-integrate, fast and high-end solution.
Since the quality remains nearly equal, the difference between the main cloud computing providers lies in the number of prices and the number of options you have received.
Operation Zone can also make a difference. AWS operates 49 availability areas within 18 geographical areas.
In which 12 more areas are available and four more are announced in Bahrain, Hong Kong SAR, Sweden and the second AWS Govcloud area in the US. While the Google Cloud Platform has 13 regions, 39 zones, more than 100 points of attendance, and a global network with 100,000 miles of fiber optic cable.
Taking the market share, AWS is leading. Google is making great progress but there is a lot of work to prove to be a viable enterprise choice.
AWS is the leader in the number of customers and products. On the other hand, GCP already provides all the necessary functionality and provides good value with the configuration model, which supports serious traffic privacy and security measures.
So, what’s better for DevOps in the cloud? I do not have any answers but I have shown the options to choose you. Now, when you have all the data, you have the power to make your decision for your DevOps team!
Do not forget about Microsoft Ezur! I will accept it too soon!
Thanks for reading!