Open incidents, MTTR reduction, cost savings and agent confidence sit above a live service map of your hybrid cloud. When something breaks, the affected services turn red: hover one to see what is wrong and investigate the whole issue chain.
ConsoleAWS · Azure · On-prem
Open incidents11triaged from 51 open alerts
MTTR reduction24h 10m31 investigations, ~53m saved each
Cost savings$3,62531 alerts investigated at $150/h
Agent confidence92%average across 31 investigations
AWS us-east-1Azure East USOn-prem DC-2edge-gwcheckout-apiorders-dbpaymentsauth-svccatalogsearchledgermq-brokerreporting
For illustration only. The product interface may differ.
Each investigation records the signal that started it, the root cause and a fix ready to merge, in under 5 minutes at 94% accuracy. Every finding is cited: open a citation to see the exact query the agent ran and the log line it found.
InvestigationsLast 24 hours
ID
Investigation
Status
inv-2291
Checkout latency: orders-db pool exhausted
Fix ready
inv-2290
flink-flight-processor TargetDown
Resolved
inv-2288
Payments 5xx after config change
Resolved
inv-2287
auth-svc token refresh errors
Running
Signal · root cause in 4m 12s
High p99 latency on checkout-api, 38 alerts grouped
Root cause
Deploy #4821 raised checkout-api from 6 to 12 replicas 1without lowering the per-pod pool of 20, so the service asked for 240 connections, orders-db's whole limit 2. Requests queued for a connection and timed out 3.
[1] KubernetesFull reasoning trace →Query the agent rankubectl rollout history deploy/checkout-api -n prod --revision=42Evidence it foundREVISION 42 deploy #4821 replicas: 6 → 12
Fix
Set HIKARI_MAX_POOL_SIZE from 20 to 10 in checkout-apiPR #318 · fix/checkout-pool-sizeMerge PR
For illustration only. The product interface may differ.
Agents audit recent config changes, scan for vulnerabilities, check certificate expiry and report on cost, on the schedule you set. A config audit catches the human change behind an outage before it pages anyone.
Agent Tasks4 scheduled
Task
Schedule
Last run
Audit recent config changes
Every 6 hours
2 changes flagged
Cost optimization report
Weekly, Mon 08:00
4 savings found
Security vulnerability scan
Daily, 02:00
1 critical CVE
Certificate expiry check
Daily, 06:00
1 expires in 9d
Finding · Audit recent config changesSecurity group sg-0a41 opened port 5432 to 0.0.0.0/0, changed by alee 2h ago. orders-db is reachable from the internet.
For illustration only. The product interface may differ.
Group connections such as AWS, Azure, GitHub, Slack and PagerDuty into a project, and every investigation correlates across all of them. Tune ingest filters, alert enrichment, confidence thresholds and investigation guidance per project.
NeuBird calls AWS, Azure, Kubernetes, GitHub, PagerDuty, Jira, MCP servers and more in real time, asking only for what the investigation needs, with zero telemetry storage.
Connections8 live
AWS
Azure
Kubernetes
GitHub
PagerDuty
Jira
Datadog
MCP
+Add
Live query · AWS · inv-2291cloudwatch get-metric-data orders-db --last 15m
For illustration only. The product interface may differ.
Run the NeuBird Proxy in your own environment, on Kubernetes or a VM. It swaps personal data in logs, metrics, traces and alerts for HMAC tokens before anything reaches NeuBird or a model, so events still correlate but no one can be identified.
Log line, redacted in your networkuser=alee@example.comusr_3f9a1c07 ip=10.24.8.17ip_b81e44d2 card=4111 1111 1111 1111card_09c7aa13 msg="checkout failed"HMAC tokens: the same value always gets the same token, and no token can be reversed.
For illustration only. The product interface may differ.
FAQ
Common questions
What are the main features of NeuBird?
NeuBird is the Agentic Reliability Center. Its features are the Console, a live view of production and a service map of your hybrid cloud; Risk Sentinel, which finds reliability, cost and security risks before they page anyone; Signals, which turns raw alerts into triaged signals; Investigations, root cause analysis with cited evidence and a fix ready to merge; Agent Tasks, scheduled work such as config audits and certificate checks; Projects, which group connections so investigations correlate across them; Connections to 50+ tools; and the NeuBird Proxy, which redacts PII inside your own network.
How does NeuBird reduce alert noise?
NeuBird takes the raw alerts from every connected source, classifies the ones that need no action as noise, and groups the rest into triaged signals. On-call engineers work from a short list of actionable signals instead of every individual alert, and each signal can start an investigation.
Can I check how NeuBird reached a root cause?
Yes. Every finding in an investigation carries a citation. Opening a citation shows the source the agent queried, the exact command or query it ran, and the log line or metric it found, so an engineer or administrator can validate the evidence and review the full reasoning trace. NeuBird delivers root cause in under 5 minutes at 94% accuracy, and no fix runs without human approval.
How does NeuBird keep personal data away from the LLM?
You can deploy the NeuBird Proxy inside your own network, as a container on Kubernetes or a standalone service on a VM. It replaces PII in logs, metrics, traces and alerts with HMAC tokens before anything is sent to NeuBird or to a model, so events still correlate but the original values cannot be recovered. It is a self-contained deployment that you run and control. NeuBird also keeps zero telemetry storage: raw logs, metrics and traces stay where they are.
Which tools does NeuBird connect to?
NeuBird connects to 50+ tools, including AWS, Microsoft Azure, Google Cloud, Kubernetes, GitHub, PagerDuty, Jira, Slack, Datadog and MCP servers. It queries each one in real time during an investigation, asking only for the data the question needs. If a tool you use is not listed, contact NeuBird and ask for it to be added.
NeuBird Features
Reliability that compounds.
See every feature on your own stack: the Console, Investigations with cited evidence, and fixes your engineers approve.