AWS vs Microsoft Azure vs Google Cloud Services

[Music] subscribe to our Channel and hit the bell icon to never miss a video from us hi welcome to this video on popular cloud services the high demand for public cloud service has only increased the competition for cloud services providers the cloud computing of various companies largely relies upon the three Giants of the field that is Amazon Web Services Microsoft Azure and Google cloud platform the platform's contain a great variety of services and products in terms of database storage over Internet and applications the dominant categories include software as a service infrastructure as a service and platform as a service the most common services being provided include compute storage database networking content delivery management tools development tools and security each of these cloud services providers varies in their own ways let's first have a brief comparison between AWS asher and g CP Amazon Web Services Amazon Web Services has been the dominant cloud service provider since 2006 it is the largest infrastructure as a service platform with its mature and developed program over a decade of having targeted cloud only networks storage and compute power AWS is the most reliable amongst Asher and Google cloud platform data encryption a robust firewall system and access control are some of the major security features that have been incorporated by AWS making it adaptive and secure for businesses be it small or large scale AWS has an advanced cloud solution and doesn't necessarily support all on-premise deployments hybrid support has been undertaken however AWS largely supports cloud networks AWS has 69 availability zones and 22 geographic locations Microsoft has ur unlike AWS Microsoft is a hybrid cloud platform it supports on-premise Hardware with as much significance as it does in transferring data on the cloud it largely inclines to DevOps app development and Internet of Things Asscher supports a lot of programming languages codes and automation features for developers it offers platform as a service along with infrastructure as a service as you're easily stems from Microsoft products and is compatible with Windows systems as relaxed autonomic management in the sense that it requires manual operation by someone asher is available in 54 regions with more than 100 data centers across 140 countries Google cloud platform Google cloud platform supports open source development largely and provides security analytics and storage the platform is smaller in the field in comparison with AWS or Azure however it is ideal for small scale businesses kubernetes one of the open source developments of GCP is most acknowledged for deploying containers GCP further incorporates advanced machine learning solutions in its services GCP is available in 200 plus countries across the globe now let's compare the among different features and services AWS comprise more than 165 services Microsoft lists over 600 Azure services Google lists over 90 products under the Google cloud brand further let's discuss and compare on major cloud services available on these platforms number one compute Elastic Compute cloud ec2 is an AWS compute service that allows pre-configured or custom a.m. eyes that is Amazon machine image for the user to configure virtual machines there are different zones and regions available for launch the user determines the specific of VM such as the memory capacity power number and size there is the availability of load balancing which allows the capacity to distribute load covering instances and thereby allowing effective performance likewise auto scaling allows the scaling up or down of the service capacity according to user preference Google compute engine much like AWS tends to regions and availability groups for launching the virtual machine the service has additional enhancements exclusive to itself that include instance with more cores operating systems support load balancing live migration virtual machines and persistent disks that are faster a lot like Amazon's ami asher Microsoft cloud service uses its exclusive equivalent that is a virtual hard disk the virtual hard disk can be flexible in the sense that it can either be predefined or be user-defined virtual hard disks can also be defined by an external third party the number of course an amount of memory is prerequisite information to be specified for the virtual machines and Azure some of the major compute services offered by them are listed here number two storage and databases the storage in AWS depends on the instance it is rather temporary since the storage depends on the start and end of an instance and the storage is accordingly started and destroyed the s3 service allows the possibility of object storage block storage may be attached to an instance or be kept otherwise glaciar makes the archiving service available big data no sequel or database is also supported by AWS AWS Storage is scalable and can support a great number of users Google cloud platform has Google storage for object storage there is also like AWS temporary storage and block storage in the form of disks bigquery Hadoop and BigTable are inherently supported by GCP since these technologies are Google cloud development Google's nearly and cold line avail the possibility to archive much like glacier however it lacks the latency on recovery Google Cloud sequel supports relational database storage as ur storage service incorporates blob storage and temporary storage D Drive for VM based volumes it also has file storage data Lake store queue storage exclusive to large volumes and disk storage for database storage Azure extends to sequel database database for post-course equal database for my sequel Microsoft unlike GCP has backup service site recovery and archive storage cloud resources are required to be managed across multiple business units with enhanced infrastructures and this in turn makes it crucial for all the three cloud service providers to consider the platforms and services that would be functional for this purpose all three cloud service providers offer deployment visibility monitoring configuration and provisioning of the cloud resources into the organization the offerings may be availed from the options of predefined templates or centralized access control in a competitive overview AWS and Azure extend to a greater degree in this area in contrast to Google cloud platform in fact AWS also offers out sourced managed services key clouds tools AWS is AI + NL oriented and provides deep lense an AI oriented service that incorporates a camera that develops and deploys machine learning algorithms it is used with object recognition image recognition and optical character recognition AWS further aims to ease the development and training of neural networks without the prerequisite of AI programming AWS has various services of which sage maker service for training Greengrass IOT messaging service machine learning models and lambdas serverless computing service are best known as r inherently supports on-premise Microsoft software also the backup service of azure links to Microsoft backup asher offers spot service and machine learning service the cognitive services being offered by Azure has computer vision API custom vision service being web search API face API and text analytics API Google cloud platform has undertaken advanced machine learning it developed tensorflow for developing machine learning applications this is an open-source software library that has recently gained support from AWS as well the IOT service and server list services of GCP remain in the beta previews the api's includes those in natural translation language and speech for more such videos subscribe to our Channel

Channel: TestPrepTraining

Views: 14,811

Keywords: aws, azure, gcp, cloud computing, microsoft azure, google cloud, amazon web services, cloud services, aws vs azure, aws vs azure vs gcp, google gloud services

Id: g4_GgBts_OY

Length: 8min 56sec (536 seconds)

Published: Wed Oct 30 2019