Strategic Solutions to Network Failures by Addressing Legacy Technical Debt
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1. Problem Background: Recurring Failures and Accumulating Technical Debt
- At the onset of integration, real-time video transmission functionality was consistently experiencing monthly failures.
- The existing system relied on manual responses during failures, with unclear root cause identification.
- The related logic remained as legacy, and although the issues were recognized, they continued to be neglected as technical debt.
2. Problem Analysis: Identifying Structural Causes
- Through log and monitoring analysis, confirmed that services failed to recover after reconnection attempts.
- Failures were triggered during the network reconnection processes of devices in unstable field network environments.
- It was challenging to improve the infrastructure itself (building structure, public networks, restricted field equipment).
- The problem was not merely ‘network instability’, but the failure to recover after reconnections.
3. Solution Strategy: Transition to a Recoverable System
Strategy Element | Description |
---|---|
Core Direction | If network failures cannot be eliminated, let’s design for Resilience |
Watchdog Logic | Transition the camera detection events occurring on bridge servers to watchdog handling |
Automatic Recovery | Process to automatically restore service status upon successful reconnection attempts |
CS Reduction Goal | Remove existing manual responses and transition to a structure where the system self-recovers before user inconvenience arises |
4. Implementation Results
- Numerous instances of service disruptions automatically recovered without downtime
- CS cases received: Reduced from over 3 per month to fewer than 0.2
- Resolved the issue by shifting from infrastructure-based causes to application recovery design
- Fundamentally resolved the technical debt related to “absence of handling for abnormal situations” within legacy code
5. Retrospection and Insights
-
This experience was not merely about handling failures or improving functionalities,
but an architectural case that structurally defined technical debt and resolved it through system transition
- In IoT environments, where changing the field is not possible, acknowledging constraints and designing for resilience is the most realistic strategy
- Realized that determining what needs to be changed when nothing can be changed is a crucial role of an architect
Example of Visual Data Organization
▸ Before-After Flowchart (Handling Structure during Network Failures)
flowchart TD
subgraph Before["❌ Before"]
B1["Disconnection 발생"]
B2["재연결 시도"]
B3["영상 미복구 / 사용자 CS 발생"]
B4["수동 처리"]
B1 --> B2 --> B3 --> B4
end
subgraph After["✅ After"]
A1["Disconnection 발생"]
A2["재연결 시도"]
A3["감지 이벤트 발생"]
A4["시스템 자동복구"]
A5["사용자 무인식 상태로 정상 전환"]
A1 --> A2 --> A3 --> A4 --> A5
end
▸ Incident Count Chart
Timeframe | Monthly Incident Reports |
Before Improvement | (Average) 3 or more |
After Improvement | 0.2 or fewer |
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