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

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= Anotações =
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Revision as of 16:58, 5 April 2017

Minha tabela de mapeamento entre on-promises para Cloud<ref>teste</ref>

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
  • Virtual Private Cloud (VPC),
  • Direct Connect
 IBM MS Google
Content Delivery
  • CDN de terceiros
  • CloudFront
  • SoftLayer CDN || MS || Google
Load Balance Hardware and Software load balance (Cisco ACE, F5, ...) Elastic Load Balancing, software load balancers IBM MS Google
Escalabilidade e Cluster Hardware and software clustering tools Auto Scaling, software clustering solutions IBM MS Google
Serviços de DNS
  • Bind,
  • Windows Server
  • Route 53
 IBM MS Google
Cache (Offload de DB)
  • Memcached,
  • Redis
 Amazon ElastiCache Example Example Example


  • Infrastructure as a Service
    (IaaS)
  • Platform as a Service (PaaS)
  • Software as a service (SaaS)

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

Anotações

<references />

Ver também


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