Database + network observability

Eliminate downtime before it ever starts.

Netovair correlates your database and network telemetry on one timeline — so when something breaks, you fix the cause instead of arguing over whose dashboard is green.

No credit card · 5 hosts free forever · Agent installs in under 2 minutes

netovair · incident #4471 · checkout latency CORRELATING
DATABASEmysql-replica-2
replication lag ▲
REPLICA LAG
3.1s
QPS
8.4k
NETWORKcore-switch-a
packet loss ▲
PACKET LOSS
2.4%
UPLINK
96%

Root cause found: a saturated uplink on core-switch-a is starving replication. Not the query.

Monitors the stack you already run

PostgreSQLMySQLSQL ServerRedisMongoDBSNMPNetFlow
The 2 a.m. problem

Two teams. Two dashboards. Zero answers.

APP
app-oncall
checkout is timing out — DB looks slow to me
DBA
database
queries are fine on our side. it's the network
NET
netops
all links are green here. must be the DB
APP
app-oncall
it's been 40 minutes… who actually owns this?

Every outage starts the same way. The database team sees healthy queries. The network team sees green links. Nobody can see across the seam — and the incident clock keeps running.

The problem was never a missing dashboard. It's that your two most important dashboards have never been on the same screen.

40+
minutes lost to finger-pointing per incident
2
tools you pay for to see half the picture each
One platform

Solve your biggest incidents. Faster.

One lightweight agent collects from both layers. One console correlates them. Pick a capability to see what the people who get paged actually get.

Automatic cross-layer correlation

Database symptoms and network events are overlaid on one timeline automatically. A replication-lag alert arrives already annotated with the congested path that caused it — so the first page names the real owner.

  • Shared clock across every metric
  • Cause ranked, not just symptoms listed
  • The end of "DB or network?" debates
linked ◆

Query-level database monitoring

Latency percentiles, slow-query capture with plans, lock contention, connection-pool health, and replication lag — across the engines you actually run.

  • PostgreSQL, MySQL, Redis, MongoDB
  • Read-only monitoring users, no schema changes
  • Drill from a spike to the exact query in two clicks

Deep network telemetry

SNMP, flow data, and active probes give you packet loss, jitter, interface saturation, and DNS health per path — not just an up/down ping.

  • SNMP v2c/v3, NetFlow, sFlow, active probes
  • Per-path loss, jitter, and saturation
  • Any switch, router, or firewall that speaks the standards

Alerts that respect your sleep

Baselines learned per metric, grouped into a single incident, routed to the tools your team already lives in. One real problem produces one page — not forty.

  • Slack, PagerDuty, Opsgenie, email, webhook
  • Learned baselines, not static thresholds
  • Cloud, on-prem, or fully air-gapped
How it works

Install to first insight in an afternoon.

No re-architecting, no lock-in on your data. Three steps.

STEP 01

Deploy the agent

One command per host. It auto-discovers local databases and interfaces and starts collecting immediately.

curl -sSL get.netovair.com | sh
STEP 02

Point it at your gear

Add switches and routers by SNMP or flow export. Netovair builds the topology map as devices report in.

netovair add-device 10.0.0.1 --snmp
STEP 03

Route the alerts

Connect Slack or PagerDuty, keep the learned baselines, and hand the 2 a.m. guesswork to the machine.

netovair alerts connect pagerduty
Why teams switch

The highest compliment is a quiet pager.

1
agent for both database and network layers
<2 min
from install to streaming telemetry
5
hosts monitored free, forever

Settle the argument before the next incident.

Install the agent on five hosts free and see your databases and network on one timeline — before you're in a war room at 2 a.m., not during it.