- Cloud Computing
- Cloud computing is the on-demand delivery of compute power, database storage, applications, and other IT resources
- Through a cloud services platform with pay-as-you-go pricing
- You can provision exactly the right type and size of computing resources you need
- You can access as many resources as you need, almost instantly
- Simple way to access servers, storage, databases and a set of application services
- Amazon Web Services owns and maintains the network-connected hardware required for these application services, while you provision and use what you need via a web application.
| Private Cloud: | Public Cloud: | Hybrid Cloud: |
|---|---|---|
| Cloud services used by a single organization, not exposed to the public. | Cloud resources owned and operated by a thirdparty cloud service provider delivered over the Internet. | Keep some servers on premises and extend some capabilities to the Cloud |
| Complete control | Six Advantages of Cloud Computing | Control over sensitive assets in your private infrastructure |
| Security for sensitive applications | Flexibility and costeffectiveness of the public cloud | |
| Meet specific business needs |
- On-demand self service:
- Users can provision resources and use them without human interaction from the service provider
- Broad network access:
- Resources available over the network, and can be accessed by diverse client platforms
- Multi-tenancy and resource pooling:
- Multiple customers can share the same infrastructure and applications with security and privacy
- Multiple customers are serviced from the same physical resources
- Rapid elasticity and scalability:
- Automatically and quickly acquire and dispose resources when needed
- Quickly and easily scale based on demand
- Measured service:
- Usage is measured, users pay correctly for what they have used
- Trade capital expense (CAPEX) for operational expense (OPEX)
- Pay On-Demand: don’t own hardware
- Reduced Total Cost of Ownership (TCO) & Operational Expense (OPEX)
- Benefit from massive economies of scale
- Prices are reduced as AWS is more efficient due to large scale
- Stop guessing capacity
- Scale based on actual measured usage
- Increase speed and agility
- Stop spending money running and maintaining data centers
- Go global in minutes: leverage the AWS global infrastructure
- Flexibility: change resource types when needed
- Cost-Effectiveness: pay as you go, for what you use
- Scalability: accommodate larger loads by making hardware stronger or adding additional nodes
- Elasticity: ability to scale out and scale-in when needed
- High-availability and fault-tolerance: build across data centers
- Agility: rapidly develop, test and launch software applications
- Infrastructure as a Service (IaaS)
- Provide building blocks for cloud IT
- Provides networking, computers, data storage space
- Highest level of flexibility
- Easy parallel with traditional on-premises IT
- Platform as a Service (PaaS)
- Removes the need for your organization to manage the underlying infrastructure
- Focus on the deployment and management of your applications
- Software as a Service (SaaS)
- Completed product that is run and managed by the service provider
- Infrastructure as a Service:
- Amazon EC2 (on AWS)
- GCP, Azure, Rackspace, Digital Ocean, Linode
- Platform as a Service:
- Elastic Beanstalk (on AWS)
- Heroku, Google App Engine (GCP), Windows Azure (Microsoft)
- Software as a Service:
- Many AWS services (ex: Rekognition for Machine Learning)
- Google Apps (Gmail), Dropbox, Zoom
- AWS has 3 pricing fundamentals, following the pay-as-you-go pricing model
- Compute:
- Pay for compute time
- Storage:
- Pay for data stored in the Cloud
- Data transfer OUT of the Cloud:
- Data transfer IN is free
- Solves the expensive issue of traditional IT
- AWS enables you to build sophisticated, scalable applications
- Applicable to a diverse set of industries
- Use cases include
- Enterprise IT, Backup & Storage, Big Data analytics
- Website hosting, Mobile & Social Apps
- Gaming
- AWS Regions
- AWS Availability Zones
- AWS Data Centers
- AWS Edge Locations / Points of Presence
- https://infrastructure.aws/
- AWS has Regions all around the world
- Names can be us-east-1, eu-west-3…
- A region is a cluster of data centers
- Most AWS services are region-scoped
If you need to launch a new application, where should you do it?
- Compliance with data governance and legal requirements: data never leaves a region without your explicit permission
- Proximity to customers: reduced latency
- Available services within a Region: new services and new features aren’t available in every Region
- Pricing: pricing varies region to region and is transparent in the service pricing page
- Each region has many availability zones (usually 3, min is 2, max is 6). Example:
- ap-southeast-2a
- ap-southeast-2b
- ap-southeast-2c
- Each availability zone (AZ) is one or more discrete data centers with redundant power, networking, and connectivity
- They’re separate from each other, so that they’re isolated from disasters
- They’re connected with high bandwidth, ultra-low latency networking
- Amazon has 216 Points of Presence (205 Edge Locations & 11 Regional Caches) in 84 cities across 42 countries
- Content is delivered to end users with lower latency
- AWS has Global Services:
- Identity and Access Management (IAM)
- Route 53 (DNS service)
- CloudFront (Content Delivery Network)
- WAF (Web Application Firewall)
- Most AWS services are Region-scoped:
- Amazon EC2 (Infrastructure as a Service)
- Elastic Beanstalk (Platform as a Service)
- Lambda (Function as a Service)
- Rekognition (Software as a Service)
- Region Table: https://aws.amazon.com/about-aws/global-infrastructure/regional-product-services
- CUSTOMER = RESPONSIBILITY FOR THE SECURITY IN THE CLOUD
- AWS = RESPONSIBILITY FOR THE SECURITY OF THE CLOUD
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