Cloud: Mapeamento On-promises para Cloud

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Revision as of 14:41, 29 March 2017 by Ebasso (talk | contribs)

Minha tabela de mapeamento entre on-promises para Cloud

Tecnologia On-premises Amazon Web Services (AWS) IBM Bluemix Microsoft Azure Google Cloud
Acesso - https://aws.amazon.com https://console.ng.bluemix.net https://azure.microsoft.com https://cloud.google.com
Computação
  • Hardware,
  • Virtualization
  • Docker
  • EC2
  • EC2 Container Service (ECS)
  • LightSail
  • Lambda
  • Batch
  • Bare Metal Server
  • Virtual Server (Hourly)
  • Virtual Server (Monthly)
  • VMWare Solutions
Example
  • Google App Engine
  • Compute Engine
  • Container Engine
Storage DAS,SAN,NAS,SSD
  • S3
  • EFS
  • Glacier
  • Storage Gateway
  • Block Storage (iSCSI/NAS)
  • Cloud Object Storage (S3 API and Swift API)
  • Content Delivery Network (CDN)
  • File Storage (NFS)
Example Example
Banco de Dados
  • MS SQL Server, MySQL, Oracle, DB2, PostgresSQL,
  • MongoDB
  • RDS (Gestão de DBs na nuvem -> MySql/Oracle/SQL Server),
  • DynamoDB (NoSQL),
  • ElastiCache
  • Redshift (Data Warehouse),
  • DB2, Informix,
  • MySQL (Compose for MySQL and ClearDB MySQL)
  • ElephantSQL(PostgresSQL as a Service)
  • Cloudant NoSQL
Example
  • Google Cloud SQL (MySQL e PostgreSQL)
Rede VPN,MPLS Amazon Virtual Private Cloud (VPC), AWS Direct Connect Example Example Example
Content Delivery Thirdy-party CDN Amazon CloudFront IBM SoftLayer CDN Example Example
Load Balance Hardware and Software load balance (Cisco ACE, F5, ...) Elastic Load Balancing, software load balancers Example Example Example
Escalabilidade e Cluster Hardware and software clustering tools Auto Scaling, software clustering solutions Example Example Example
DNS Bind, Windows Server, third party Amazon Route 53, third-party DNS software on Amazon EC2 Example Example Example
Cache (Offload de DB) Memcached, Redis Amazon ElastiCache Example 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