concept#Cloud#Platform#Cloud Computing
Cloud Computing
Cloud computing allows access to IT resources over the internet.
Cloud computing revolutionizes the IT industry by enabling companies to provision and manage resources over the internet.
Maturity
Established
Cognitive loadMedium
Classification
- ComplexityMedium
- Impact areaTechnical
- Decision typeArchitectural
- Organizational maturityIntermediate
Technical context
Integrations
DatabasesAPI interfacesAnalytics tools
Principles & goals
ScalabilityFlexibilityAccessibility
Value stream stage
Build
Organizational level
Enterprise, Domain, Team
Use cases & scenarios
Use cases
Scenarios
Compromises
Risks
- Data loss
- Violations of data protection regulations
- Service outages
Best practices
- Regular security audits
- Documentation of processes
- Training of employees
I/O & resources
Inputs
- User requirements
- Access requests
- Resource capacities
Outputs
- Functional applications
- Economic flexibility
- Access to resources
Description
Cloud computing revolutionizes the IT industry by enabling companies to provision and manage resources over the internet. This technology allows for scalability, flexibility, and cost savings, making it a strategic choice for modern businesses.
✔Benefits
- Cost savings
- Speed of implementation
- Encouragement of innovation
✖Limitations
- Dependency on internet connection
- Data sovereignty
- Security risks
Trade-offs
Metrics
- Response Time
The time taken to respond to a request.
- Availability
The percentage of time the service is available.
- Revenue
The revenue generated by cloud services.
Examples & implementations
Cloud Services in Retail
A retailer uses cloud services to manage their inventory.
Smart City Solutions
A city uses cloud computing to analyze traffic data in real-time.
Financial Services
A financial institution uses cloud services for secure data transmission.
Implementation steps
1
Set up infrastructure
2
Create users
3
Configure access rights
⚠️ Technical debt & bottlenecks
Technical debt
- Outdated infrastructure
- Technological lag
- Insufficient adaptability
Known bottlenecks
Performance bottleneckIntegration complexityData management
Misuse examples
- No backup strategy implemented
- Infrastructure not monitored
- User roles not defined
Typical traps
- Ignoring development costs
- Not addressing technical debts
- Insufficient resource management
Required skills
Knowledge of cloud technologiesExperience in data managementSkills in software development
Architectural drivers
Growth opportunitiesTechnological innovationGlobal reach
Constraints
- • Compliance with data protection regulations
- • Availability of internet connections
- • Resource quotas