Collecting, centralizing, and analyzing log data from multiple services and servers in a single searchable platform.
Log aggregation tools like ELK Stack (Elasticsearch, Logstash, Kibana), Loki/Grafana, and Datadog Logs collect logs from all services into a searchable, queryable platform. This enables cross-service debugging, anomaly detection, and audit trails.
Centralizing Gunicorn access logs, Django error logs, and Nginx logs to quickly diagnose why a specific API request failed.
Without log aggregation, debugging production issues requires SSH-ing into individual servers and grep-ing through files — impossibly slow during incidents.
A deployment strategy that maintains two identical production environments, routing traffic to the n...
Continuous Integration and Continuous Deployment - automated software delivery practices.
A dynamic value stored outside the application code that configures behavior across different enviro...
An API endpoint that reports whether a service is running and able to serve requests, used by load b...
The practice of collecting, analyzing, and acting on data about system health, performance, and beha...
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