hermes-memory-installer: System Metrics, Auto-Archive, Token Rotation, Dead-Letter Replay, and Prof

The latest update to hermes-memory-installer introduces a focused set of features that directly address production-level concerns: observability, storage management, security, fault tolerance, and performance introspection. If you maintain a message-processing pipeline or job queue, these are the components that often decide whether your system survives peak loads or security audits without manual heroics. Let's break down each addition and how you can integrate them into your workflow. System Metrics Exposing runtime health is no longer an afterthought. The new metrics module taps into the core processing loop and emits standard Prometheus-formatted data: message throughput (count and rate), latency percentiles, queue depths, and goroutine or thread pool utilization. This isn't a simple "up/down" gauge—you get histograms for processing duration and derived metrics like consumer lag. For example, if you run multiple worker instances, you can now directly compare their processing speeds via a Grafana dashboard. The endpoint is configurable, so you can keep it behind a reverse proxy or internal load balancer. Memory pressure triggers a separate gauge for heap usage per queue, which helps with capacity planning before it becomes a midnight incident. Auto-Archive Without auto-archive, old messages accumulate in memory or primary storage, driving up costs and slowing down scans. This feature moves processed or expired messages to a cheaper tier (S3, GCS, or local file system) based on age or queue size. The archive process is a background task that runs on a cron-like schedule; you can define how many messages to retain per queue before archiving kicks in. The compression is transparent—gzip by default, but you can switch to snappy or zstd. A key detail: archived messages retain their metadata and can be restored if needed, though the replay path skips them automatically unless explicitly requested. This is useful for audit trails or multi-region cold replicas. Token Rot