Network operations
Network telemetry hub: SNMP, incidents and playbooks
Poll devices over SNMP, ingest metrics and syslog over HTTP, and turn signals into incidents with RCA reports and remediation playbooks — deeper network operations in one hub.
How do I push metrics or syslog into the hub?
Generate an organization-scoped telemetry API key, whose secret is stored only as a hash, and post JSON batches of metrics or syslog lines over HTTP. Each batch is written to an ingest log, and syslog entries keep facility, severity and app name for filtering.
Already live in the product
Running in production today: SNMP polling on schedule, incidents, RCA reports, and remediation playbooks.
Built around real workflows
Highlights below describe capabilities already present in the protected app behind this page.
- SNMP v2c polling with samples
- Metrics and syslog HTTP ingest
- Incidents with RCA reports
- Remediation playbooks
What teams can do here
- Step 1Add SNMP targets
- Step 2Collect metrics and syslog
- Step 3Raise incidents from signals
- Step 4Run remediation playbooks
How it works
- 01
Collect from SNMP and pushed sources
Poll devices over SNMP for standard MIB-II data and, alongside it, accept pushed metrics and syslog over HTTP. Metric and syslog ingest is authenticated with an org-scoped API key that is hashed at rest, and every batch is recorded in an ingest log.
- 02
Correlate signals into incidents
A scheduled correlation task groups related server alerts inside a deduplicated window into a single incident, so a cluster of symptoms becomes one investigable event. An incident can be linked to a ticket to drive the response.
- 03
Write the root-cause analysis
Each incident can carry an RCA report with a timeline of what happened, a root-cause hypothesis and the corrective actions taken. That turns a resolved incident into a durable record the team can learn from and audit later.
- 04
Remediate with approved playbooks
Remediation playbooks hold an approved shell snippet that runs over SSH against a chosen server, with an allowlist enforced in the executor and an optional two-person approval. Every run is captured as an execution record with its output and success state.
- 05
Project trends as estimates
From the retained poll history the hub can fit a simple linear projection to forecast where a counter is heading. The result is explicitly labelled an estimate rather than a guarantee, so it informs capacity planning without pretending to be an SLA.
A worked example
A typical hospital network team pushes syslog from 60 devices and metrics from its own scripts into the hub using a hashed, org-scoped API key. Overnight, eight servers behind one core switch raise CPU alerts; the correlation window folds them into a single incident linked to one ticket instead of eight pages. The engineer records the timeline and a root-cause hypothesis — a stuck backup job — then runs the approved restart playbook over SSH, its output captured in the execution log. A linear projection over the switch's poll history, labelled clearly as an estimate, feeds the next capacity review.
Frequently asked questions
See also: Guide: choosing network monitoring tools · Guide: choosing server monitoring tools · Network monitoring · Server monitoring · Security & VAPT
Book demo
Turn a night of alerts into one incident with an answer
Correlation folds related symptoms into a single event, the RCA writes the cause down, and allowlisted playbooks apply the fix with every run logged.
