Increased Latency Error
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An Increased Latency Error is a networked-system performance error that occurs when a networked-system response time exceeds acceptable limits.
- Context:
- It can (typically) occur in systems where real-time or near-real-time responses are critical, such as Web Applications, API Responses, or Streaming Services.
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- It can range from being a Minor Increased Latency Error to being a Significant Increased Latency Error (based on the severity of the delay).
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- It can be caused by:
- Network Congestion, where data packets are delayed due to heavy traffic.
- Overloaded Servers, which struggle to handle incoming requests promptly.
- Redundant Retry Mechanisms, where multiple layers of retry logic introduce unnecessary delays.
- High Traffic Volumes or a Spike in User Requests, overwhelming the system's capacity to respond quickly.
- Insufficient Bandwidth, where the network cannot handle the required data throughput efficiently.
- Poorly Optimized Code that introduces delays in processing or resource allocation.
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- It can lead to:
- A Cascade of Delays (e.g., increased latency propagating through interconnected systems, affecting downstream services).
- Degraded User Experience, where users experience slow responses or interrupted services.
- Inefficient System Performance, where processing resources are underutilized or delayed.
- A System Bottleneck, causing the system to become less efficient over time.
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- It can manifest in:
- Web Applications with slow page load times.
- API Responses that take longer than expected, causing delays in client-side operations.
- Streaming Services where users experience buffering or interruptions due to latency.
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- It can (often) trigger alerts in performance monitoring systems, helping teams identify latency issues before they become critical.
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- Example(s):
- An e-Commerce Website experiencing slow page load times during a holiday sale due to increased traffic, illustrating how high demand can cause increased latency.
- An API Service that delays responses because of misconfigured retry logic, leading to slower-than-expected data retrieval for client applications.
- A Streaming Service where video buffering occurs due to network congestion, exemplifying how increased latency can impact user experience.
- A Financial Trading Platform experiencing delays in transaction processing during peak trading hours, impacting time-sensitive operations.
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- Counter-Example(s):
- Instant Response, where a system or application processes and responds to requests immediately, with no noticeable delay.
- Low Latency Network, which is optimized to minimize delays and provide quick data transmission, preventing increased latency errors.
- Efficient Load Balancing, where traffic is evenly distributed across servers, avoiding overload and the resulting increase in latency.
- Optimized Code, where efficient algorithms and data handling prevent unnecessary processing delays.
- See: Network Congestion, Retry Mechanism, Processing Power, Spike in User Requests, Load Balancing, System Bottleneck.