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SRE Training Online - Site Reliability Engineering Training in Hyderabad

Visualpath offers top-notch Site Reliability Engineering Online Training in Hyderabad led by industry experts. For more details, call 91-9989971070 today<br>Visit: https://www.visualpath.in/online-site-reliability-engineering-training.html<br>

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SRE Training Online - Site Reliability Engineering Training in Hyderabad

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  1. Capacity Planning fora Growing System

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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.

  7. 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.

  8. 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).

  9. 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.

  10. 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@visualpath.in

  11. THANK YOU

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