Cloud: Mapeamento On-promises para Cloud: Difference between revisions

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* Amazon RDS (Gestão de DBs na nuvem -> MySql/Oracle/SQL Server),  
* Amazon RDS (Gestão de DBs na nuvem -> MySql/Oracle/SQL Server),  
* Amazon DynamoDB (NoSQL),  
* Amazon DynamoDB (NoSQL),  
* Amazon Redshift (Datawarehouse),
* Amazon Redshift (Data Warehouse),
* Amazon ElastiCache, DB software on Amazon EC2 || Example || Example
* Amazon ElastiCache, DB software on Amazon EC2 || Example || Example
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| Processamento de Dados ||  || Amazon EMR || ||  
| Processamento de Dados ||  || Amazon EMR || ||  
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| Análise de Dados ||  || Amazon Redshift (DB de datawarehouse) , Amazon Machine Learning || ||  
| Análise de Dados ||  || Amazon Redshift (DB de data warehouse) , Amazon Machine Learning || ||  
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Revision as of 17:53, 14 September 2016

Minha tabela de mapeamento entre on-promises para Cloud

Tecnologia On-premises Amazon Web Services (AWS) IBM Softlayer Microsoft Azure
Rede VPN,MPLS Amazon Virtual Private Cloud (VPC), AWS Direct Connect Example Example
Storage DAS,SAN,NAS,SSD Amazon EBS, Amazon S3, Amazon EC2 instance storage, distributed & clustered FS on Amazon EC2 Example Example
Computação Hardware,Virtualization Amazon EC2, Amazon ECS, AWS Lambda Example Example
Content Delivery Thirdy-party CDN Amazon CloudFront IBM SoftLayer CDN Example
Banco de Dados MS SQL Server, MySQL, Oracle, DB2, PostgressSQL,MongoDB,...
  • Amazon RDS (Gestão de DBs na nuvem -> MySql/Oracle/SQL Server),
  • Amazon DynamoDB (NoSQL),
  • Amazon Redshift (Data Warehouse),
  • Amazon ElastiCache, DB software on Amazon EC2 || Example || Example
Load Balance Hardware and Software load balance (Cisco ACE, F5, ...) Elastic Load Balancing, software load balancers Example Example
Escalabilidade e Cluster Hardware and software clustering tools Auto Scaling, software clustering solutions Example Example
DNS Bind, Windows Server, third party Amazon Route 53, third-party DNS software on Amazon EC2 Example Example


Big Data

Eco Sistema Big Data On-premises Amazon Web Services (AWS) IBM Softlayer Microsoft Azure
Coleta de Dados Amazon S3, Amazon Kinesis, Amazon DinamoDB, Amazon RDS (Aurora)
Processamento de Eventos AWS Lambda, KCL Apps
Processamento de Dados Amazon EMR
Análise de Dados Amazon Redshift (DB de data warehouse) , Amazon Machine Learning

Ver também


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