SRE Training Online - Site Reliability Engineering Training in Hyderabad
                     Capacity Planning for
 a Growing System
Introduction to Capacity Planning
Definition:
 Capacity planning involves estimating the resources required to handle 
future workloads.
Objective:
 To ensure that a system can scale to meet demand without over- or 
under-provisioning resources.
Why Capacity Planning is Crucial?
Key Points:
 Prevents system overloads.
 Ensures optimal performance as demand grows.
 Avoids costly over-provisioning of resources.
 Helps manage operational costs efficiently.
Key Components of 
Capacity Planning
CPU/Memory Utilization:
 Ensure processors and memory can handle peak loads.
Storage Capacity:
 Sufficient storage for growing data needs.
Network Bandwidth:
 Sufficient bandwidth to support user traffic.
Scalability Requirements:
      Ability to add resources dynamically.
Steps in Capacity Planning
Analyse Current Usage:
Collect performance metrics (CPU, memory, disk, network).
Forecast Future Demand:
Use historical data and business growth projections.
Identify Bottlenecks:
Identify areas where capacity might be constrained (e.g., CPU, disk 
I/O).
Plan for Scalability:
       Determine whether horizontal or vertical scaling is necessary.
Horizontal vs Vertical Scaling
Horizontal Scaling (Scaling Out):
Add more instances or servers.
 Suitable for distributed systems.
Vertical Scaling (Scaling Up):
 Increase the capacity of existing machines 
(CPU, memory).
    Simpler but with hardware limitations.
Tools and Techniques
Performance Monitoring Tools:
Use tools like Prometheus, Data dog, or Azure 
Monitor for real-time metrics.
Load Testing Tools:
 Use tools like Apache JMeter, Gatling, or Load 
Runner for simulating future loads.
Capacity Forecasting:
     Use analytics or machine learning to predict future 
resource needs.
Best Practices for Effective Capacity Planning
Regular Monitoring:
 Continuously monitor system metrics.
Scenario Planning:
Plan for best and worst-case scenarios.
Collaboration:
Work with both development and operations teams.
Automation:
    Automate scaling with tools like auto-scaling groups 
(AWS, Azure).
Conclusion and Summary
Key Takeaways:
Capacity planning ensures that systems grow 
efficiently with demand.
Balancing cost-effectiveness with performance is 
crucial.
Regular monitoring and forecasting are vital to staying 
ahead of potential issues.
Next Steps:
 Implement monitoring and load testing in your systems.
 Schedule regular capacity reviews as part of system 
operations.
CONTACT
                  Site Reliability Engineering (SRE)
               Address:- Flat no: 205, 2nd Floor,
                     Nilgiri Block, Aditya Enclave,
                     Ameer pet, Hyderabad-1 
           Ph. No: +91-9989971070 
           Visit: www.visualpath.in 
           E-Mail: [email protected]
THANK YOU