This architectural model enables cloud systems to adapt to fluctuating demand by automatically and rapidly adjusting their resource capacity. Dynamic scalability allows the system to grow or shrink in real-time, while elastic resource capacity ensures that resources are acquired and released on-demand.

1. NADAR SARASWATHI COLLEGE OF ARTS AND SCIENCE
Cloud Computing
Dynamic Scalability Architecture
&
Elastic Resource Capacity Architecture
By:
D. AKI AKSHAYA
II-M.Sc(Computer Science)

2. Dynamic Scalability &
Elastic Resource Capacity
Architecture in Cloud
Computing
Architecting responsive, cost-efficient cloud systems that adapt to
demand

3. Why Scalability and Elasticity Matter in the Cloud
Scalability
Enables systems to grow
steadily with increasing
demand, ensuring consistent
performance and reliability as
user bases expand.
Elasticity
Allows automatic, real-time
adjustment of resources to
handle sudden workload
fluctuations efficiently without
manual intervention.
Optimisation
Together, they optimise cost,
performance, and user
experience in modern cloud
environments through
intelligent resource
management.

4. Defining Scalability: Scale Up & Scale Out
Vertical Scaling
Scale Up: Increasing power of existing resources (CPU, RAM, storage) within a
single machine.
• Enhanced processing power
• Higher memory capacity
• Improved storage performance
Horizontal Scaling
Scale Out: Adding more machines or nodes to distribute workload across
multiple systems.
• Distributed processing
• Load distribution
• Fault tolerance

5. Understanding Elasticity:
Real-Time Automatic
Resource Adjustment
Dynamic Provisioning
Elasticity dynamically provisions or de-provisions resources based
on current demand patterns.
Instant Response
Enables systems to respond instantly to spikes or drops without
manual intervention or downtime.
Real Example
Netflix automatically scaling streaming servers during peak evening
hours, then scaling down during off-peak times.

6. Scalability vs Elasticity: Key Differences
Scalability Characteristics
• Planned capacity increases
• Often requires manual intervention
• Supports long-term growth strategies
• Focus on sustained performance
Elasticity Characteristics
• Automatic resource adjustment
• Reactive to real-time demand
• Handles short-term variability
• Focus on cost optimisation
Key Insight: Scalability ensures capacity; elasticity ensures efficiency and cost-effectiveness through intelligent automation.

7. Visualising Scalability & Elasticity in Action
Vertical Scaling
Single server sized up for load
Horizontal Scaling
Add identical servers to share traffic
Elastic Scaling
Auto-scale servers up and down
This architectural view demonstrates how different scaling strategies respond to varying workload demands in cloud
environments.

8. Benefits of Dynamic Scalability Architecture
Predictable Growth Support
Supports planned capacity
increases with minimal downtime,
ensuring business continuity
during expansion phases.
Enhanced Fault Tolerance
Improves system resilience by
distributing load across multiple
resources, reducing single points of
failure.
High Availability
Enables consistent uptime for
mission-critical applications
through redundant resource
allocation and load distribution.
E-commerce platforms scaling databases as user base grows steadily, maintaining performance during business
expansion.

9. Advantages of Elastic
Resource Capacity
Architecture
Cost Optimisation
Significant cost savings by paying
only for resources actually
consumed, eliminating waste from
over-provisioning.
Rapid Adaptation
Instant response to unpredictable
demand spikes ensures consistent
performance without manual
intervention.
User Experience
Enhanced customer satisfaction through consistent performance during
peak usage periods and seasonal variations.
Real-world example: Retail websites automatically scaling infrastructure during
Black Friday sales, then scaling down post-event to optimise costs.

10. Challenges & Best Practices
01
Design Stateless Applications
Create horizontally scalable, stateless applications that maximise elasticity potential and enable seamless
scaling.
02
Manage Data Consistency
Implement robust strategies for maintaining data consistency and integrity across multiple scaled
instances.
03
Test Auto-scaling Policies
Thoroughly test scaling policies to prevent costly over-provisioning or performance-damaging under-
provisioning.
04
Leverage Cloud Tools
Utilise provider-specific tools like AWS Auto Scaling, Azure Scale Sets, or Kubernetes for optimal results. Proper monitoring and alerting are essential for successful
auto-scaling implementation.

11. The Future: Combining Scalability & Elasticity for
Cloud Excellence
Hybrid Approaches
Blending planned scalability with real-time
elasticity for comprehensive resource
management strategies.
AI-Driven Scaling
Implementing predictive scaling algorithms
for proactive resource management based
on usage patterns.
Resilient Architecture
Building cost-efficient, highly responsive
cloud infrastructures that adapt intelligently
to business needs.
Your Journey
Start architecting for growth and agility
today—embrace both scalability and
elasticity for cloud success.
Architect for Tomorrow