ScalingPerformance Vs Scalability

Performance: 

Performance is all about speed and efficiency. When designing for performance, you need to make sure that your system can handle the workload it's currently being asked to do quickly and without any hiccups. Optimizing your system for performance will help ensure that it runs smoothly today and tomorrow.  There are a few factors you'll need to keep in mind when design for performance: 

• Efficiency: How quickly can your system complete a task? 
• Latency: How long does it take for your system to respond to a request? 
• Throughput: How much work can your system complete in a given period of time? 
• Utilization: What percentage of your system's resources are being used at any given time? 
• Resource contention: Are there any bottlenecks in your system that could slow things down? 

Scalability: 

Scalability is all about ensuring that your system can handle an increase in load. This could mean anything from a sudden spike in traffic to gradual growth over time. When designing for scalability, you need to make sure that your system can elastically scale up or down as needed. This means being able to add or remove resources as needed without any downtime. Optimizing for scalability will help ensure that your system can keep up with demand now and in the future. There are a few factors you'll need to keep in mind when design for scalability: 

• Load balancers: How will you distribute traffic evenly across all of your servers? 
• Caching: How can you cache data so that popular resources can be served quickly? 
• Databases: Are your databases able to handle an increase in requests? Can they be easily sharded if needed? 
• Asynchronous processing: Can tasks be processed in the background so that they don't impact the performance of the main thread?