feat :
--FAST API AGENT
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| Area | What to show | Why it matters |
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| -------------------- | -------------------------------------------- | ------------------------------------------- |
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| Node status | Up/down, PostgreSQL service state, uptime | Tells you whether the node is reachable |
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| CPU | Current %, load average | Detects compute saturation |
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| Memory | Used/free RAM, swap | Finds memory pressure |
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| Disk | Used %, free GB, IOPS, read/write latency | Disk issues can kill DB performance |
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| Network | RX/TX, latency, packet loss | Important for distributed replication |
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| Connections | Active, idle, total, max connections | Prevents connection exhaustion |
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| Sessions | Current sessions, user, DB, client IP | Shows who is connected |
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| Transactions | TPS, commits, rollbacks | Measures workload and failures |
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| Query performance | Avg query time, slow queries, top queries | Finds performance bottlenecks |
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| Long-running queries | Query, PID, runtime, user | Long queries often cause locks/bloat |
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| Locks | Waiting locks, blocking PID, blocked query | Critical for troubleshooting stalls |
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| Deadlocks | Count and recent deadlocks | Shows transaction contention |
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| Cache | Buffer cache hit ratio | Indicates memory efficiency |
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| Tables | Size, rows, scans, inserts, updates, deletes | Shows table activity |
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| Indexes | Usage, unused indexes, index size | Helps optimize queries/storage |
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| WAL | WAL generated, retained, archived | Important for replication and recovery |
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| Checkpoints | Checkpoint frequency/duration | Too many checkpoints hurt performance |
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| Vacuum | Last vacuum/autovacuum, failures | Prevents table bloat |
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| Analyze | Last analyze, stats freshness | Needed for query planner accuracy |
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| Bloat | Table/index bloat | Excess bloat wastes space and slows queries |
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| Replication | Status, lag, slot status | Essential for HA/multi-master |
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| Replication slots | Active/inactive, retained WAL | Inactive slots can fill disk |
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| Backup | Last backup, status, duration | Tells you whether recovery is possible |
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| Disk growth | Database/table/WAL growth trend | Helps capacity planning |
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| Errors | PostgreSQL errors/warnings | Shows immediate operational issues |
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| Security | Failed logins, unusual connections | Useful for security monitoring |
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Using my uploaded photo, show me what I would have looked like around 1985. Preserve my identity, facial features, skin tone, age, and recognizable appearance. Reimagine my hair, clothing, accessories, and surroundings with bold, unmistakably mid-1980s styling—expressive silhouettes, statement accessories, layered details, distinctive colors, and textures. Make it feel like a genuine 1985 photograph with analog grain, faded color, direct flash, and subtle softness. Add a period-accurate 1980s red-orange date stamp in the lower corner. No recognizable posters. No modern objects or text.
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