Machine Learning Techniques and Analytics for Cloud Security

Microsoft Azure is very effective in SaaS. Whereas, Google Cloud is strong in AI [18]. Table 1.1 gives a comparison among them.

All the cloud service providers have their own pros and cons. Their make themselves a suitable choice for different purposes. Here, the advantages and disadvantages are described for all the providers. Table 1.2 provides a comparative study on this.

Table 1.1Comparison between AWS Outpost, Microsoft Azure Stack, and Google Cloud Anthos.

Table 1.2Pros and cons between AWS Outpost, Microsoft Azure Stack, and Google Cloud Anthos.

The strongest strength of Amazon is its effectiveness in public cloud. They provide services through the world for its public cloud infrastructure. This cloud provider is very popular because of its varieties operational scope. AWS provides different kind of services. It also has a large network for worldwide data centers. The “Gartner” reported that this provider is the most mature and enterprise-ready. It also has capabilities to govern a large amount of resources and customers. But the weakness is its cost. Customers face difficulty to understand its cost structure. It is also difficult to manage the costs while running a large volume of workloads.

Microsoft provides on-premises software—SQL Server, Windows Server, SharePoint, Office, .Net, Dynamics Active Directory, etc. The reason of its success is most of the enterprises uses Windows and its related software. As Azure is tightly coupled with its other software applications, the enterprises, that use many Microsoft software, they find Azure as a suitable platform. This is how it builds good relationship with their existing customers. They also provide a remarkable discount on variety of services to their existing customer. But, Gartner also reported some faults in their some of the platforms [21].

AWS and Azure offer the Kubernetes standard which is developed by Google. GCP is expert in machine learning and Big Data analytics. It provides huge offers on that. It also provides offers in load balancing and considerable scale. Google is also efficient knowledge about different data centers and quick response time. Google stands in third in the field of market share [21]. But, it is rapidly increasing its offers. As per Gartner, clients choose GCP as a secondary provider than that of primary provider.

SSS to EFS: The storage services of AWS include its Elastic Block Storage (EBS), Simple Storage Service (S3), and Elastic File System (EFS) for persistent block storage, object storage, and file storage, respectively. It also provides some new innovative products for storage that includes the Snowball and Storage Gateway. Snowball is a physical hardware device, whereas Storage Gateway creates a hybrid storage environment.

Database and archiving: Aurora is a compatible database of SQL by Amazon. It consists of different services like DynamoDB NoSQL database, Relational Database Service (RDS), Redshift data warehouse, ElastiCache in-memory data store, Neptune graph database, and Database Migration Service. Amazon also offers long term storage known as Glacier. It is having very low charges [20].

Storage services: The storage services of Microsoft Azure include Queue Storage, Blob Storage, File and Disk Storage for large-volume workloads, and REST-based object storage of unstructured data respectively. Data Lake Store is another storage that is used for big data applications.

Extensive database: This extensive database provides three SQL-based options. They are Database for MySQL, SQL Database, and Database for PostgreSQL. Data Warehouse service is also provided as well. The services are Table Storage for NoSQL and Cosmos DB. Its in-memory service is Redis Cache and the hybrid storage service is Server Stretch Database. Those are designed for the organizations that use Microsoft SQL Servers [22]. Unlike AWS, Microsoft offers an actual Site Recovery service, Archive Storage, and Backup service.

Unified storage and more: GCP has enormous level of storage services. The unified object storage service is cloud storage. It also provides persistent disk storage. It also offers a Transfer Appliance which is a similar kind of AWS Snowball and online transfer services.

SQL and NoSQL: GCP possesses the SQL-based Cloud and also provides a relational database known as Cloud Spanner. Cloud Spanner is designed for critical and complex workloads. It also provides NoSQL. They are Cloud Datastore and Cloud Bigtable. No backup services and archive services are provided.

Table 1.3Comparison between VMware Microsoft Amazon AWS.