Every service, with foresight
Foreseer monitors your whole stack and derives insights in three tiers — from availability essentials to predictive forecasts.
Elasticsearch
Search & analytics- Core Cluster health going yellow/red, JVM heap pressure, node disk watermarks, stuck ILM policies, failed snapshots.
- Advanced Thread-pool rejections, hot-node heap/CPU outliers, unused indices, slow indexing, stalled transforms.
- Predictive Heap-saturation ETA, shard-count growth, search-latency drift and per-node degradation forecasts.
PostgreSQL
Relational database- Core Instance down, connection saturation, replication lag or broken streaming, inactive slots retaining WAL.
- Advanced Long idle-in-transaction sessions, lock contention, cache-hit ratio, table bloat, slow queries, autovacuum lag.
- Predictive Txid-wraparound and connection-saturation forecasts — days of lead time before an emergency vacuum.
MySQL
Relational database- Core Instance down, connection saturation, replica lag and stopped IO/SQL replication threads.
- Advanced InnoDB buffer-pool hit ratio, slow queries, deadlocks, table-lock contention, temp-disk tables.
- Predictive Connection-saturation, data-size and replication-lag forecasts.
Redis
In-memory store- Core OOM risk, eviction onset, connection saturation, replication & persistence health, unexpected restarts.
- Advanced Hit-ratio drops, memory fragmentation, blocked clients, Lua-script errors, hot-shard load skew.
- Predictive Time-to-OOM against maxmemory, keyspace-growth and replica-drift forecasts.
Logstash
Ingest pipeline- Core JVM heap pressure, queue depth, and dead-letter-queue growth (silent data loss).
- Advanced Per-pipeline lag, plugin error rates, and persistent-queue disk fill.
- Predictive Queue-fill and heap-exhaustion forecasts before events start dropping.
JVM
Java runtime- Core Sustained heap pressure, critical GC pauses, a recent OutOfMemoryError.
- Advanced Thread-count anomalies, metaspace pressure, live deadlock detection, GC-frequency drift.
- Predictive Heap and metaspace exhaustion ETAs from the regression trend.
Docker
Containers- Core OOM-killed containers, restart loops, and sustained memory pressure.
- Advanced CPU throttling, blkio saturation, and network errors per container.
- Predictive Per-container memory-exhaustion forecast.
Nginx
Web server- Core Down/unreachable and connection saturation.
- Advanced Request spikes and upstream connection-state imbalance.
- Predictive Peak-capacity forecast against your traffic trend.
Apache
Web server- Core Down, and worker/scoreboard saturation.
- Advanced Request spikes and busy-vs-idle worker imbalance.
- Predictive Worker-exhaustion forecast before requests start queuing.
PHP-FPM
App runtime- Core Pool saturation, pool down, and max-children reached.
- Advanced Slow-request build-up and listen-queue backlog.
- Predictive Worker-saturation forecast.
Disk & system
Host fundamentals- Core Filesystem fill and inode exhaustion, on every host.
- Advanced Disk IO saturation, CPU saturation, network errors, swap thrashing.
- Predictive The date a volume runs out, plus a host memory-exhaustion forecast.
Any process
Universal fallback- Core Process missing, restart detected, restart loops (≥3 restarts in 15 min).
- Advanced RSS memory pressure, CPU saturation, and file-descriptor exhaustion vs limits.
- Predictive RSS-regression memory-exhaustion forecast — for anything you run.
Monitor anything — even services we don’t have a dedicated analyzer for
Point Foreseer's process monitor at any process by name or pattern — your own app, a worker, a daemon, a queue consumer. You get liveness, restart and restart-loop detection, and RSS / CPU / file-descriptor pressure against its limits, plus an RSS-regression memory-exhaustion forecast. It's the universal safety net for the long tail of your stack — no per-service analyzer required.
Watch a few processes — one pattern per line
node
my-api
gunicorn.*master
celery.*worker Who runs Foreseer
Search & relevance teams
Keep Elasticsearch clusters healthy — catch shard-allocation stalls, heap pressure and disk watermarks before queries slow.
Database teams
Stay ahead of Postgres and MySQL replication lag, connection saturation and txid wraparound, with the full primary→replica topology mapped for you.
Caching & sessions
Know the exact moment Redis writes are at risk from OOM or eviction — and the policy change that prevents it.
Lean platform teams
No dedicated SRE? Foreseer is the on-call engineer you do not have to hire — quiet until it matters, specific when it does.
Agencies & MSPs
Manage many customers’ infrastructure with per-VM, role-scoped access. Give each project manager exactly the VMs they own.
Self-hosted shops
Run your own stack on AWS, GCP, Azure or bare metal — cloud-grade foresight without shipping data to a black box.