Notes on seeing the future
Engineering, product and guides from the Foreseer team.
On-prem observability in regulated and air-gapped setups
A practical guide to on-prem observability for regulated and air-gapped environments, with architecture patterns, privacy controls, and role design tips.
Best self-hosted monitoring platforms for on-prem ops
Compare top self-hosted monitoring stacks for on-prem teams, with pros, cons, TCO factors, and how forecasting turns slow-burn risks into scheduled fixes.
9 autovacuum tuning alerts and thresholds that work
Set autovacuum tuning alerts with practical thresholds. Learn the metrics that matter and how to keep bloat in check without noise or missed risk.
PostgreSQL replication lag alerts that catch issues early
Build PostgreSQL replication lag alerts with sane thresholds, root-cause signals, and safe tests, plus predictive host context for faster incident response.
Predict Elasticsearch heap pressure before GC storms
Stop Elasticsearch GC storms with heap pressure modeling. Track key signals, act safely, and see how Foreseer forecasts saturation.
Elasticsearch cluster monitoring tools: practical comparison
Compare Elastic Stack Monitoring, Prometheus, Datadog, and Foreseer for Elasticsearch health, alerts, scale, and predictive forecasting with clear trade-offs.
Alert fatigue reduction checklist for infra and SRE teams
A practical alert fatigue reduction checklist for infra and SRE teams. Cut noise with predictive infrastructure monitoring, correlation, and auto-resolve.
Best automated runbook tools for SRE and platform teams
Compare automated runbook tools for SREs. See criteria, concrete examples, safety and audit controls, and how to trigger actions from predictive monitoring.
5 predictive remediation playbooks that actually work
Five predictive remediation playbooks for self-hosted telemetry monitoring, with concrete steps, forecasts, and auto-resolve rules to prevent incidents.
Incident prediction models for ops teams, explained simply
Plain-English guide to incident prediction for ops: choose how far ahead to look, use simple models, watch for changes, and send clear on-call actions you can run.
Predictive Infrastructure Monitoring: Forecasts, Lead Time, Fixes
Predict when disks, queues, and caches approach limits. Learn which metrics to track, modeling choices, and how Foreseer turns short-term trends into reliable
Forecast Redis evictions to stop latency spikes early
Predict Redis evictions before they become latency spikes. Learn the signals, build a slope-based forecast, and turn predictions into concrete runbooks.
Best Redis OOM prediction tools and methods in 2026
Compare 2026 Redis OOM prediction tools: Redis out-of-memory (OOM) alerts, memory fragmentation, eviction policy, time-to-saturation forecasting, Prometheus + Alertmanager, Grafana, Datadog, Kubernetes, Redis Cluster, cg
Best metrics exporters for Linux, Redis, and Elasticsearch
Best metrics exporters for Linux, Redis, and Elasticsearch. Pros, cons, setup tips, and how to pair them with predictive infrastructure monitoring.
OpenTelemetry self-hosted vs Prometheus exporters on VMs
Compare OpenTelemetry self-hosted vs Prometheus exporters on VMs across setup, cost, overhead, and fit, plus how forecasting enables predictive monitoring.
Predictive vs reactive monitoring: why thresholds keep failing you
Static thresholds alert you to outages you are already having. The engineering case for forecasting — with the math, the failure modes, and where prediction honestly does not help.
Anatomy of an alert worth waking up for
Symptom, cause, blast radius, fix — the four parts that separate an alert an engineer acts on from one they mute, and why most tooling ships only the first.
How to monitor a Redis cluster (and forecast OOM before it drops writes)
The Redis metrics that actually predict failure — memory vs maxmemory, eviction policy, fragmentation, replication lag — and how to watch a whole cluster from one agent.
Predicting Elasticsearch heap pressure before nodes drop out
Old-gen occupancy, GC time, circuit breakers and shard count — the leading signals of a heap crisis, and how to forecast it instead of reacting to a node leaving the cluster.
More posts coming soon.