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Unified observability · AI Core

See it.Understand it.Fix it.

One platform for applications, networks, infrastructure, databases and logs — and an AI that connects the signals, finds the cause and shows its evidence.

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Outbound-only over 443 · agentless where possible · Read the docs (opens in a new tab)

Illustration: signals from applications, network, servers, databases and logs flow into the Ceburu AI Core, which groups them into one situation — “BGP peer on core-rtr-01 left Established — 3 related symptoms” — with the evidence one click away.

One platform

Every signal, one portal.

Ten modules in one portal, behind one sign-in and connected to one AI Core — so the network team, the app team and the people they report to look at the same picture.

AI Core · Correlation

From alert storm to one story.

Forty alerts from one flapping BGP peer become one situation — with a Story, the Evidence and a way to ask about it.

Illustration with fictional data: forty separate alerts from a network incident collapse into one situation card. The card tells the story — the BGP session from core-rtr-01 dropped and interface errors, jitter and application latency followed — lists the evidence with expected ranges, and offers to open the situation in Ask AI.

Ask AI

Ask in plain English. Get an answer from your own telemetry.

Charts, tables and follow-up questions — with the coverage stated in every answer. A missing reading is never treated as zero, and silence is never reported as healthy.

How Ask AI works
AI Core / Ask AI
Example

Who is eating the bandwidth?

7 of 7 flow exporters reporting

In the last 15 minutes the top talker on the core-sw-01 uplink is backup-01 (10.20.4.17) at 412 Mbps — 38% of the link, almost all of it SMB to nas-01. The next four talkers together use less than half that.

Top talkers · core-sw-01 uplink · Mbps
  • backup-01 → nas-01412
  • app-02 → db-0196
  • web-01 → cdn71
  • app-03 → redis38
  • ws-114 → updates22
Is this normal for this hour?Show the flow recordsWhich ports is it using?Evidence ›

Which services are slowest right now?

6 of 6 services reportingCause: suspected

checkout-api is the slowest: p95 1.84 s against a learned 420 ms for this hour of the week. Most of that time is spent waiting on payments-api POST /charge, which is also above its baseline.

p95 latency · ms · tick = learned baseline
  • checkout-api1,840
  • payments-api1,210
  • orders-api310
  • inventory140
  • gateway95
Show the slowest traceWhat changed at 14:02?Chart p95 for the last 6 hoursEvidence ›

Top 5 servers by CPU

8 of 9 sources reporting

db-01 leads at 91% average CPU over the last hour, followed by app-02 (78%) and app-03 (74%). web-04 has sent no readings since 13:40 — it is shown as missing, not as zero, and is not counted as healthy.

Average CPU · last hour · %
  • db-0191%
  • app-0278%
  • app-0374%
  • web-0252%
  • web-04no data
Chart CPU utilisationWhy is db-01 busy?When did web-04 stop reporting?Evidence ›
Example conversation with Ask AI using fictional data. Choose a tab to see a network, applications or servers question answered from live telemetry, with a chart, the coverage of the answer and suggested follow-up questions.
Network Insights / Network Path
Example
Source: branch-nycDestination: app.example.com443TCP
0.0ms0.0ms0.0ms0.0ms0.0ms0.0ms0.0ms
End-to-end
0.0 ms
Jitter
0.0 ms
Packet loss
0.0%
Parallel routes
3
Example network path from a branch site to app.example.com on port 443, using fictional addresses. The path crosses the site router and ISP gateway, fans out across up to three parallel routes through two networks, and re-joins before the destination. A timeline lets you move back to 14:02, when one parallel route showed packet loss and higher latency.

Network Path

Every hop to the services you depend on.

Latency per hop, jitter, packet loss and the ISP behind each hop — with parallel routes drawn side by side and a timeline you can scroll back through.

Explore Network Insights

How it works

Deployed at your edge. No inbound ports.

Deploy at the edge, let the data flow out, and start working from one portal.

1

Deploy a probe and collector

One Ceburu Probe per site runs discovery and commands; the Ceburu Collector receives application, database and asset telemetry.

2

Data flows out over 443

Everything connects out to Ceburu over HTTPS. Nothing in Ceburu’s cloud dials into your network — no inbound firewall holes.

3

See, understand, act

Every module in one portal, AI Core to connect the signals, and automations to act on them.

See the deployment in detailInstall guide (opens in a new tab)

Automations

Alert → check → AI insight → fix → verify → notify.

Build runbooks as a visual workflow. Every node runs in order, with its timing and output recorded — and an AI node that writes its assessment straight onto the alert.

Explore Automations
Automations / Workflows
Example
Example: the workflow “BGP peer down — remediate” runs after an alert on core-rtr-01. It checks the peer, bounces interface Gi0/1, verifies the session is Established, comments on the alert and emails on-call. Run #142 succeeds in 9.4 seconds, with a timing on every node.

Get started

One portal for every signal — and an AI that shows its work.

Start with one site and one probe. Add modules as you go — the AI Core gets more useful with every source you connect.

Sign upBook a demoRead the docs (opens in a new tab)

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