When a WebSocket stream drops, the error and close events instantly fire on the socket object. The current dummy script reacts to these events by simply logging an error message and fatally exiting the process (process.exit(1)). In a modern production environment, network instability is a mathematical certainty. Connections will drop due to intermediate proxy timeouts, load balancer restarts, or temporary Wi Fi partitioning. Terminating the entire client application every time a transient network blip occurs is utterly unacceptable for a resilient tracing application.
Issues/what to fix
The close and error event handlers within the script must be completely gutted and rewritten from scratch. Instead of fatally terminating the script, these handlers must invoke a dedicated reconnect() method. This method acts as an autonomous healing engine. It must maintain a persistent integer counter tracking the number of failed connection attempts. Upon invocation, it must mathematically calculate a delay interval using an exponential backoff formula, preventing immediate connection spam that could DDOS a recovering server. Finally, it must use setTimeout to asynchronously invoke the connectToTraceStream() function after the calculated delay, looping this process until a successful connection is achieved or a maximum retry limit is breached.
Files location
examples/api clients/websocket client/index.js
Expected result
The WebSocket client will transform into a highly resilient, self healing system. If the grat server is temporarily killed and restarted mid trace, the client will effortlessly survive the outage. It will buffer its state, elegantly log "Connection lost. Reconnecting in 2s...", and automatically re establish the stream the millisecond the server comes back online, perfectly demonstrating enterprise grade socket connection handling.
Contributor telegram group
https://t.me/+sII7WPhll2liMGNk
When a WebSocket stream drops, the error and close events instantly fire on the socket object. The current dummy script reacts to these events by simply logging an error message and fatally exiting the process (process.exit(1)). In a modern production environment, network instability is a mathematical certainty. Connections will drop due to intermediate proxy timeouts, load balancer restarts, or temporary Wi Fi partitioning. Terminating the entire client application every time a transient network blip occurs is utterly unacceptable for a resilient tracing application.
Issues/what to fix
The close and error event handlers within the script must be completely gutted and rewritten from scratch. Instead of fatally terminating the script, these handlers must invoke a dedicated reconnect() method. This method acts as an autonomous healing engine. It must maintain a persistent integer counter tracking the number of failed connection attempts. Upon invocation, it must mathematically calculate a delay interval using an exponential backoff formula, preventing immediate connection spam that could DDOS a recovering server. Finally, it must use setTimeout to asynchronously invoke the connectToTraceStream() function after the calculated delay, looping this process until a successful connection is achieved or a maximum retry limit is breached.
Files location
examples/api clients/websocket client/index.js
Expected result
The WebSocket client will transform into a highly resilient, self healing system. If the grat server is temporarily killed and restarted mid trace, the client will effortlessly survive the outage. It will buffer its state, elegantly log "Connection lost. Reconnecting in 2s...", and automatically re establish the stream the millisecond the server comes back online, perfectly demonstrating enterprise grade socket connection handling.
Contributor telegram group
https://t.me/+sII7WPhll2liMGNk