Change Details

Prior to moving to production, we should benchmark (and document) the performance of the session storage service under mixed workloads. This information should prove invaluable in validating the implementation, providing a baseline for any subsequent optimizations, and in future capacity planning. NOTE: [[ https://grafana.wikimedia.org/dashboard/db/redis?orgId=1&from=now-24h&to=now&var-datasource=codfw%20prometheus%2Fops&var-job=redis_sessions | Current estimations ]] put production request rates (per-datcenter) at ~30k reads/sec, ~100 writes/sec, and total data set size at ~3G (uncompressed). ---- # Results ## WSGI container/server performance (NOTE) **TODO: Do.** ## Python framework performance (NOTE) **TODO: Do.** ## Overall performance (NOTE) **TODO: Do.**

Prior to moving to production, we should benchmark (and document) the performance of the session storage service under mixed workloads. This information should prove invaluable in validating the implementation, providing a baseline for any subsequent optimizations, and in future capacity planning. NOTE: [[ https://grafana.wikimedia.org/dashboard/db/redis?orgId=1&from=now-24h&to=now&var-datasource=codfw%20prometheus%2Fops&var-job=redis_sessions | Current estimations ]] put production request rates (per-datcenter) at ~30k reads/sec, ~100 writes/sec, and total data set size at ~3G (uncompressed). ---- # Results ## WSGI container/server performance {F27422177} ## Python framework performance (NOTE) **TODO: Do.** ## Overall performance (NOTE) **TODO: Do.**

Prior to moving to production, we should benchmark (and document) the performance of the session storage service under mixed workloads. This information should prove invaluable in validating the implementation, providing a baseline for any subsequent optimizations, and in future capacity planning. NOTE: [[ https://grafana.wikimedia.org/dashboard/db/redis?orgId=1&from=now-24h&to=now&var-datasource=codfw%20prometheus%2Fops&var-job=redis_sessions | Current estimations ]] put production request rates (per-datcenter) at ~30k reads/sec, ~100 writes/sec, and total data set size at ~3G (uncompressed). ---- # Results ## WSGI container/server performance (NOTE) **TODO: Do.** {F27422177} ## Python framework performance (NOTE) **TODO: Do.** ## Overall performance (NOTE) **TODO: Do.**