Digital Cloud Leader Notes
What is the Cloud?
- Metaphor for network of datacenters that do stuff for the internet
Types of Cloud
- On-premises On prem
- Hosted on site
- Located and operated within an organization's data center
- Traditional way of managing IT infrastructure
- Doesn't require third-party access
- Owners have physical control
- Need servers that
- Require physical space
- A specialized room
- Require expert personnel
- Difficult scale
- Acquire more computing than actually needed
- Need servers that
- Private Cloud
- Dedicated to a single organization
- Single-tenant or corporate cloud
- Benefits
- Self service
- Scalability
- Elasticity
- Public Cloud
- On-demand availability of computing and infrastructure resources
- No need to acquire, config, or manage resources
- Pay only for what is used
- Cloud computing service models
- IaaS
- PaaS
- SaaS
- Hybrid Cloud
- Combine public and private cloud environments
- Multicloud
- Combine two public cloud provider environments
- Most orgs embrace a multicloud strategy
Benefits of cloud computing
- Access to scalable resources
- Latest technology on-demand
- Accelerates deployment time
- Flexible
- Access services from anywhere
- Scale services up
- Scale services down
- Agile
- Develop new applications
- Rapidly get them into production
- No infrastructure worries
- Strategic Value
- Competitive advantages
- Higher ROI
- Innovate and try new ideas .faster.
- Secure
- Stronger than enterprise data centers
- Depth and breadth of mechanisms
- Dedicated teams
- Cost-effective
- Pay for what is used
- No overbuilding data centers
- IT staff can work on strategic initiatives
Cloud Eras
- VM Cloud Era
- Infrastructure Cloud Era
- Transformation Cloud Era
Google Transformation Cloud .review this.
- Data
- Open infrastructure
- Collaboration
- Trust
- Sustainable technology
Google Cloud Adoption Framework
- Provides assessment of where an org is in its cloud journey
- Creates plan to get the org to where it wants to be in their cloud journey
- Cloud maturity assessment
Fundamental Cloud Concepts
- Total Cost of Ownership .TCO Analysis.
- On-Premises Costs Include
- Power
- Cooling
- Maintenance
- Support services
- CapEx v. OpEx
- CapEx = Upfront business expenses put toward fixed assets
- OpEx = Recurring costs for a more immediate benefit
- Cloud cost savings include
- Power
- Cooling
- Floorspace
- Management
- Equipment
- Private Cloud
- Own data center
- Self service
- Scalability
- Elasticity
- Multi Cloud
- Combine two public cloud providers
- Hybrid Cloud
- Combine private and public cloud environments
- Mult-cloud strategies
- Access to the latest technologies
- Best in class approach to cloud features
- Scale, security, and agility to innovate fast
- Advanced capabilities
- Modernize at the right pace
- Migrate at a pace that makes sense
- Transform technical infrastructure over time
- Improved return on investment
- Expand cloud computing capacity without increasing data center expenses
- Reduce CapEx or general IT spending
- Improve transparency
- Flexibility through choice of tools
- Wider choice of tools and developer talent
- Better response to changing market demands
- Avoid vendor lock-in concerns
- Improve reliability and resiliency
- Distribute core workloads across multiple cloud and on-premises infrastructures
- Reduce downtime
- Reduce concerns about over-dependence on a single source of failure iv. Improve quality and availability of a service f. Maintain regulatory compliance
- Ensure compliance with regional data governance, residency, or digital sovereignty requirements g. Running apps on-premises
- Freedom to innovate while still meeting legacy technology needs h. Running apps at remote edge locations
- Meet performance and latency requirements
- Run select apps at the network edge
- Access to the latest technologies
- Network performance
- Google Cloud regions and zone
- Locations
- NA
- SA
- Europe iv. Asia v. Australia
- Locations > Regions > Zones
- Mult-region, store data in multiple regions that are 160km apart
- clou-googl-com/about/locations
- Locations
- Google's edge network
- Store popular content near users
- Low latency
- Network's edge = entry point to the network
- High performance
- High reliability f. Low latency
- Cloud computing service models
- Infrastructure as a service IaaS
- Compute, networking, storage, databases
- Lease resources, only pay for what you use
- Reduce CapEx
iv. Compute engine
v. Cloud storage
v- Benefits:
- Economical
- Efficient
- Boosts productivity
- Reliable - no single point of failure
- Scalable - up and down rapidly v- Use Cases:
- Unpredictable workload volumes or need to move quickly in response to business fluctuations
- Require more infrastructure scalability and agility than traditional data centers can provide
- High business growth that outpaces infrastructure capabilities
- Unpredictable spikes in demand for infrastructure services
- Low utilization of existing infrastructure resources
- Platform as a service PaaS
- Provides a platform for developers to develop, run, and manage their own apps
- No need to build and maintain the associated infrastructure
- Can use built-in software components to build applications
iv. Cloud Run
- Fully managed serverless platform
- Develop and host applications v. Big Query
- Enterprise data warehouse
- Manage and analyze data v- Benefits:
- Developers can go straight to coding
- No need to spend time setting up and maintaining a development environment
- Faster time to market
- Scalable
- Reduces management - abstracts the management
- Flexible - support for different programming languages and easy collaboration with distributed teams
- Use Cases:
- Create unique and custom applications without investing in owning and managing infrastructure
- Rapidly test and deploy applications
- Have legacy applications and want to reduce the cost of operations
- Have a new app project that they want to deploy quickly by growing and updating the app as fast as possible
- Want to only pay for resources while they're being used f. Want to offload time-consuming tasks such as setting up and maintaining application servers and development and testing environments
- Software as a service Saas
- Abstracts technology completely from the consumer
- The end user doesn't need to care about the underlying infrastructure
- Organizations pay a subscription fee for access to a ready-to-use software product
iv. Google Workspace
v. Benefits:
- Low maintenance - Eliminates the need to have IT staff download and install applications
- Vendors manage all potential technical issues
- Helps to streamline maintenance and support for an organization
- Cost effective
- Fixed monthly or annual account fee
- Predictable costs and per-user budgeting
- Clear financial governance
- Flexible
- Everything is available over the internet
- Access to the software from anywhere, any device, anytime
- Use Cases:
- Want to use standard software solutions that require minimum customizations
- Don’t want to invest time or internal expertise in maintaining applications or infrastructure
- Need more time for IT teams to focus on strategic projects
- Need to access apps from various devices and locations
- Infrastructure as a service IaaS
- Choosing a cloud model
- IaaS - A highly flexible scalable service, while maintaining control of infrastructure
- PaaS - A platform designed for building software products
- SaaS - Ready to use features without the hassle of installations
- The Shared Responsibility Model
- Security in the cloud is a shared responsibility between the cloud provider and the customer
- Customer secures data
- Cloud provider secures infrastructure
- Security of the cloud v. Security in the cloud
- According to Gartner, 99% of cloud security failures will result from user error
- id10T error f. How the shared responsibility model works g. h. General guideline for responsibility is: "If you configure or store it, you're responsible for securing it."
| Cloud Provider | Customer |
|---|---|
| Hardware | Configurations |
| Networks | Access policies |
| Physical security | User data |