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AWS Vs OpenStack

AWS Vs OpenStack

AWS Vs OpenStack

Here, let’s decode the heights and ranges of 2 of the most discussed cloud technology solutions currently existing. First is the acclaimed Amazon Web Services (AWS), Customers primarily use it for the speed and Advantage of it worldwide cloud hosting capability, and physical infrastructure volumes ie Data Centers; Second is the extremely nifty OpenStack, It serves businesses to set up their proprietary cloud-system based services on standard average hardware.

What is OpenStack

“Large clusters of storage, networking resources, and computation can be managed by an OpenStack system across a data center, which can be administered via a dash console or through an API based on OpenStack.  It supports all open source technologies and works well with all popular enterprise software which makes it a perfect solution for diverse infrastructure”

What is AWS

“Amazon Web Services (AWS) is Cloud system offering by the company Amazon, which encompasses all mainstream offerings of a cloud solution such as IaaS (Infrastructure as a Service), PaaS (Platform as a Service) and PaaS (Platform as a Service). Essentially it gives its services via the internet in terms of Bandwidth, Storage and an Ad Hoc support for APIs.

OpenStack – Establishment and Customer Base

OpenStack was launched in 2010, since then its reputation has been continuously growing, and even more after an upgrade in the early half of 2013. There are many business which have been key to the innovations and growth of OpenStack, to name few of many consist of: Arista Networks, Yahoo, Avaya, Canonical, VMware, Citrix, Fujitsu, Cisco, NEC Corp, SUSE Linux, Google, Hewlett-Packard, AT&T, Red Hat , Oracle, Clean Storage, Juniper Networks, Comcast, Solidfire, Intel, Mellanox, International Business Machines, Huawei, VMTurbo, GoDaddy, Ericsson, Dell – EMC, ZTE

Amazon’s selling point is that it partakes a market share among Microsoft, Google, IBM and other players part of Public Cloud ecosystem. OpenStack’s selling point on the other hand is that it is a sustainable substitute to IBM or Alibaba as part of the Private Cloud ecosystem.

The arguments and debates between public cloud model and private cloud is long-familiar and unrelenting. Although the services and technologies are proliferating at a raging speed, to choose between these two platforms across the Scrum – agile processes are still very huge dilemma.

Meanwhile, AWS – Amazon Web Services caters simple slicing, dicing scan the barcode methodology and process, a simple child’s play flow to permit anyone to create cloud products; OpenStack is still very complex at the big picture as it comprises of the below workflow;

  • Download & Installation
  • Administration & Configuration
  • Management and upgradation

Comparison between AWS Vs OpenStack

Offered Service AWS OpenStack
Elasticity  Auto Scaling is a part of AWS  Autoscaling wit Heat
 Virtual servers  based on EC2  Based on Instance in Nova
 Workflow Service  Follows Simple Workflow Service (SWF)  It has the Mistral – Workflow Service
 Business Productivity Tools  Amazon WorkDocs  None
 Workload Management  ELB (Elastic Load Balancer)  Load Balancer as a Service (LBaaS)
 Billing  AWS Usage and Billing Report  Ceilometer – Telemetry based billing, resource tracking etc
 Enterprise Messaging:  Simple Queue Service (SQS)  Zaqar, a multi-user cloud messaging service for Mobile and Web
 Search Service  Elasticsearch Service  Searchlight
 Alloted Network  DirectConnect  No Dedicated Network
 Database (NoSQL)  DynamoDB  Trove
 Serverless Framework  Lambda  No Serverless Framework
 SAN Data Storage  EBS(Elastic Block Storage)  Cinder
 Cache  (InMemory)  ElastiCache  No In memory Caching
 Script project deployment   CodeDeploy Code Commit Code Pipeline  No Application Deployment with Scripts
 Microservices based Dockers or Containers:  ECS(EC2 Container Service)  Magnum
 RDB (Database)  RDS  Trove
 Domain Name System Administration  Route 53  Designate
 Content delivery Network (CDN)  CloudFront  No Content Distribution Network
 Templates or Image  AMI(Amazon Machine Image)  Glance
 Cloud Data Storage Architecture  S3(Simple Storage Service)   Swift
 Data Warehouse or Database  Redshift  Trove
 Orchestration or Job Scheduler  AWS Batch  Heat
 Data Archiving  Glacier  Swift
 Big Data  EMR (Elastic Map Reduce)  Sahara
 Identity and Access Management  IAM  KeyStone
 Collaborated File Sharing  EFS (Elastic File System)  Manila
 Private Cloud in Public Cloud  VPC (Virtual Private Cloud)  Neutron
 Managed Hosting Platform  Elastic Beanstalk   There is no Managed Hosting Platform
Key/Encryption Management   KMS (Key Management Service)   Barbican
Mail Service  Simple Email Service (SES)  There is no Mail Service unless created
Speech or Voice recognition   Lex No Speech or Voice recognition solution
Text to Speech Tool Amazon Polly No Text to Speech Tool
Personal Voice Assistant Alexa No Personal Voice Assistant
Application development Platforms  Mobile HUB, Mobile SDK, Cognito  No Application development Platforms
Machine Learning/NLP  Possible  ML & NLP are not readily available
Internet of Things or Connected Smart Systems  AWS IoT  No Internet of Things or Connected Smart Systems:
Streaming Analytics or Data  Kinesis  No Streaming Analytics or Data feature

AWS workflow process, framework, and architecture are mostly owned and entitled to Amazon only, even to its partners such as Eucalyptus or RightScale knew only how to observe and assume the process. Unlike OpenStack, which is a free and open source platform, where if one needs to understand the workflow process, one can basically download the entire code.

So which Platform to use?

Contemporary offerings are given by both cloud computing platforms – OpenStack and AWS; One must decide based on their requirement. With its On-demand usage-based cost model, Amazon Web Services (AWS) will be adequate for longer tenure projects.  On the flip side OpenStack’s opensource free license factor is always a game changer.

Below are the use cases for OpenStack over AWS:

  • Grid computing/High-performance Computing is a latent use scenario considering OpenStack, since its ecosystem follows a free source open asset model, and also it supports flexi infrastructure ecosystem.
  • Development/Testing Support: More and more conventional Infrastructure as Service frameworks are with mutual symbiosis to both Quality assurance team and Development team.
  • DevOps Best Practices: A development team can use infrastructure as code and the OpenStack Application programming interfaces
  • Measure the product structure to support big data offerings like Apache Spark, Apache Cassandra, and Hadoop.”
  • “Parallel to business application hosting: As an alternative to struggling with old school affinities Devote towards the emerging cloud-native apps; This is most emphasized use case of all.

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