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A logging system is essential for debugging and monitoring purposes.
This system should track various requests between services and capture any potential errors that may arise.
Logging can also extend to the reverse proxy to gather statistics such as request volume, frequently accessed routes, and client locations via IP analysis.
The latter example could prove valuable for future scalability efforts, particularly if we need to deploy additional servers in specific regions to meet demand.
To achieve this, alongside configuring a logger for each node.js server, we should establish a LogStash instance for data ingestion and post-processing, utilize ElasticSearch for log indexing, and deploy Kibana for information display. Additionally, considering alternative BI tools like PowerBI or Apache Superset could enhance our analytics capabilities.
The text was updated successfully, but these errors were encountered:
A logging system is essential for debugging and monitoring purposes.
This system should track various requests between services and capture any potential errors that may arise.
Logging can also extend to the reverse proxy to gather statistics such as request volume, frequently accessed routes, and client locations via IP analysis.
The latter example could prove valuable for future scalability efforts, particularly if we need to deploy additional servers in specific regions to meet demand.
To achieve this, alongside configuring a logger for each node.js server, we should establish a LogStash instance for data ingestion and post-processing, utilize ElasticSearch for log indexing, and deploy Kibana for information display. Additionally, considering alternative BI tools like PowerBI or Apache Superset could enhance our analytics capabilities.
The text was updated successfully, but these errors were encountered: