SRE Training Online | Site Reliability Engineering Training in Hyderabad

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Capacity Planning for a Growing System
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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.

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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.

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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.

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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.

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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.

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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.

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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).

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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.

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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 online_at_visualpath.in

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THANK YOU