Site Reliability Engineering Online Training - SRE Courses Online
                     Latency vs Throughput Understanding the 
Difference
Latency vs Throughput: Understanding the Difference
• Title: "Latency vs Throughput: Understanding the Difference"
• Subtitle: Brief explanation: "A comparison of two key 
performance metrics in systems and networks."
• Visual: An abstract image representing network performance.
Introduction
• Title: "Why Latency and Throughput Matter?"
• Content: Introduction to the importance of understanding 
latency and throughput in system performance (e.g., in 
networking, databases, and distributed systems).
• Visual: A network or system diagram showing data flow.
Definition of Latency
• Title: "What is Latency?"
• Content: Latency is the time it takes for data to travel from the 
source to the destination.
– Measured in milliseconds (Ms).
– It represents delays in the network or system.
• Visual: Timeline showing request sent vs response received.
Definition of Throughput
• Title: "What is Throughput?"
• Content: Throughput is the amount of data transmitted over a system or 
network in a given period.
– Measured in bits per second (bps), MB/s, or transactions per second.
– It indicates how much work can be completed within a specific time.
• Visual: Bar graph showing data volume over time.
Key Differences
• Title: "Latency vs Throughput: The Core Differences"
• Content:
– Latency measures delay, while throughput measures 
data flow rate.
– Low latency = fast response; high throughput = large 
data volumes.
• Visual: Table comparing latency and throughput.
How They Interact
• Title: "The Relationship Between Latency and 
Throughput"
• Content: Explain that they can impact each other but are 
independent. Low latency doesn’t always mean high 
throughput and vice versa.
• Visual: Graph showing scenarios of high vs low latency 
and throughput.
Examples of Latency and Throughput
• Title: "Real-World Examples"
• Content:
– Latency Example: Online gaming – low latency is 
critical for real-time response.
– Throughput Example: Streaming services – high 
throughput ensures smooth playback.
• Visual: Icons or images of an online game vs a streaming 
service.
Improving Latency and Throughput
• Title: "Ways to Optimize"
• Content:
– Techniques for reducing latency: network 
optimization, faster hardware.
– Techniques for increasing throughput: bandwidth 
upgrades, efficient data handling.
• Visual: Checklist of methods with relevant icons.
Conclusion
• Title: "Summary"
• Content: Recap of key points:
– Latency = delay, crucial for time-sensitive applications.
– Throughput = data volume, important for data-heavy applications.
• Visual: A simplified diagram combining latency and 
throughput.
CONTACT
Site Reliability Engineering (SRE)
Address:- Flat no: 205, 2nd Floor,
Nilagiri Block, Aditya Enclave,
Ameer pet, Hyderabad-1 
Ph. No: +91-9989971070 
Visit: www.visualpath.in 
E-Mail: [email protected]
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