You can't fix what
you can't see.
Most production incidents are discovered by a customer, not by an engineer. That is a monitoring failure, not an engineering one. We embed with your team to design, deploy, and tune an observability practice proven against real baselines and outages — Zabbix, Graylog, and Grafana as a single visibility stack — with metrics and logs correlated, alerting tuned to signal, dashboards built for the people who actually read them, and every runbook and tuning decision captured in your knowledge base so your team can prevent incidents, not just react to them.
We deploy and tune a self-hosted observability stack — Zabbix for metrics and alerting, Graylog for centralized logs, Grafana for dashboards — with thresholds tied to your real baselines and alerting routed by severity and ownership. Tuning rationale, dashboards, and runbooks live in your knowledge base, so your team prevents incidents instead of reacting to them.
The problem
Monitoring is usually installed reactively — after the outage that nobody saw coming. A Zabbix agent gets thrown on a few hosts, a Grafana dashboard gets cloned from a tutorial, alerts get configured against default thresholds, and the result is a stack that pages at 3 a.m. for CPU spikes that don't matter and stays silent for the disk fill that does. The team learns to ignore the alerts. The alerts stop meaning anything. The next outage is discovered by a customer again, and the knowledge base has nothing to say about it.
The fix is not more tools. It is an observability practice — thresholds tied to your actual baselines, alerts routed by severity and ownership, dashboards that answer the questions an on-call engineer actually asks at 3 a.m., and runbooks in your knowledge base that explain what each alert means and how to prevent it from happening again.
What we do
We deploy an observability stack that covers the two signals that matter — metrics and logs — and we tune it until the alerts mean something. The stack is open source, self-hosted, and operated alongside your team. We transfer the tuning and incident-response workflow, with every threshold, dashboard, and runbook decision captured in your knowledge base, so your team prevents incidents and reduces routine overhead instead of chasing pages.
- Zabbix — metrics and alerting. Host-level and service-level metrics, agent-based and agentless monitoring, and alerting that routes by severity, ownership, and time of day. We tune thresholds against your real baselines, not defaults. The tuning rationale and baseline history go into your knowledge base, so your team can maintain and improve the alerting without re-learning it.
- Graylog — centralized logs. Structured log ingestion, search, and correlation. When an alert fires, the logs that explain it are one query away, not five tools away. Log-pipeline rules and common query patterns are documented in your knowledge base.
- Grafana — dashboards. Visualization layered over Zabbix and Graylog data sources. Dashboards are built for the on-call engineer first — the system overview, the service detail, the incident view — and for stakeholders second. Dashboard definitions and how to extend them live in your knowledge base.
- Alerting and escalation. Alert rules with clear severities, escalation procedures that name who acts and who gets notified, and on-call handoffs that don't lose context. The runbooks, escalation matrix, and tuning history are part of your knowledge base, so ownership transfers cleanly to your team.
Good monitoring is not measured by how many dashboards you have. It's measured by how often the alert fires before the customer notices — and how often the alert actually means something when it does.— Operate principle, applied to every stack we tune
Deliverables
- Monitoring stack deployed and tuned — Zabbix, Graylog, and Grafana, integrated and operational, with architecture and tuning notes in your knowledge base
- Alert rules — severity-tiered, owner-routed, tuned against your production baselines, with rationale captured
- Escalation procedures — who acts, who is notified, and the time targets for each severity, maintained in your knowledge base
- Dashboards — system overview, per-service detail, and incident views, built for on-call use and stored in your knowledge base
- Log pipeline — structured ingestion, retention policy, and search that correlates with metrics, documented in your knowledge base
- Runbook links and knowledge transfer — every critical alert points to the runbook that explains how to respond, and your team is enabled to tune the stack
Tech we use
We run Zabbix because its native agent covers most of what we need without a metrics pipeline tax, and its alerting is mature enough for real escalation logic. Graylog handles the log volume that would choke a naive Elasticsearch cluster. Grafana sits on top because engineers already know it — and a dashboard nobody reads is a dashboard that doesn't exist. Every component choice and operational note is captured in your knowledge base as part of the transfer, so your team can maintain and improve the stack with less routine overhead.
Related case study
An enterprise observability rollout replaced fragmented monitoring with Zabbix + Graylog + Grafana — 142 hosts monitored, 87% alert noise reduction, $6,200 saved per month. Read the case study →
Next stage
Visibility tells you what is happening. Security tells you what is trying to happen. We connect monitoring into SIEM and compliance, and we document the integration in your knowledge base. Security & Compliance →
Common questions
Which monitoring stack do you deploy?
Zabbix for metrics and alerting, Graylog for centralized logs, Grafana for dashboards — self-hosted and integrated. Zabbix's native agent covers most needs without a metrics pipeline tax; Graylog handles the log volume; Grafana sits on top because engineers already know it.
How do you decide what to alert on?
Thresholds are tuned against your real baselines, not defaults, and alerts route by severity, ownership, and time of day. The tuning rationale and baseline history go into your knowledge base, so your team can keep improving the alerting without re-learning it.
Can you replace expensive proprietary monitoring?
In one documented engagement, a Zabbix, Graylog, and Grafana stack replaced proprietary monitoring for a defense-sector enterprise: 142 hosts monitored end-to-end, 87% alert noise reduction, and $6,200 saved per month versus the proprietary quote.
Finding incidents after the customer does?
We deploy and tune Zabbix, Graylog, and Grafana using observability practices until alerts mean something. If your monitoring pages for the wrong things, let's talk.