Join Microsoft Azure + NeuBird AI: Resolve incidents in minutes | April 16 at 10 AM PT
KUBERNETES SRE · AGENTIC AI

Your Kubernetes runs in prod. Does your ops layer?

NeuBird AI gives Kubernetes teams an AI SRE layer that investigates incidents in minutes - across clusters, logs, metrics, and changes — so your on-call is calm and your MTTR drops.

90% MTTR reduction*
2 min investigations vs 30–60 min manual triage
30+ native integrations
NeuBird AI investigation timeline Hawkeye
  • 02:33 — Signal intake — Ingests alerts, logs, metrics, and change events
  • 03:10 — Correlation — Maps blast radius across workloads and clusters
  • 03:25 — Root cause — Explains the why with evidence and confidence
  • 03:55 — Actionable fix — Recommends steps or triggers runbooks
Always-on coverage

24/7 expert-level investigations
No agents required • No tool sprawl

Have all the data but still flying blind?

Modern Kubernetes environments generate massive telemetry.
The problem is not signal. It is the ability to reason through it fast enough to matter.

KubeVirt Operational Gaps

KubeVirt gives you unified compute but not unified operability. Debugging across VM and container layers means manually correlating node pressure, CNI, storage, and legacy app behavior across separate tools.

VMware Migration Anxiety

Migrating off VCF introduces change storms, config drift, and unclear blast radius. Every cutover is an operational gamble without a system that can correlate pre- and post-migration telemetry automatically.

Alert Fatigue at Scale

Prometheus, Datadog, OpenTelemetry, Splunk — alerts cascade across every layer. Engineers triage symptoms manually while root causes stay buried. Signal-to-noise is low. MTTR keeps climbing.

Multi-Cluster Blind Spots

Incidents span clusters and originate from shared dependencies — but your tools are cluster-scoped. Teams chase symptoms across regions and cloud providers instead of finding systemic root causes.

Use Cases

See NeuBird AI in action

Four real-world Kubernetes incidents and how NeuBird AI resolves them.

CrashLoopBackOff, resolved in 2 minutes

CrashLoopBackOff is one of the top 3 most common Kubernetes incidents — and one of the most time-consuming to debug when caused by OOM conditions. What typically takes 30–60 minutes of manual Prometheus querying, log diving, and cross-referencing becomes a 2-minute AI-powered investigation.

NeuBird AI automatically correlates telemetry across the stack, traces root cause to the OOM condition, surfaces blast radius, and recommends remediation — with a full audit trail.
Watch the live investigation →
hawkeye — incident investigation
Alert received: CrashLoopBackOff — pod/api-service-7f9d
namespace: production | cluster: us-east-1
Querying Prometheus metrics (last 30m)...
Pulling container logs from Datadog...
Checking node resource pressure...
Memory limit exceeded: container OOMKilled ×4
container_memory_usage_bytes → 512Mi / 512Mi limit
heap allocation spike at 14:32 UTC — correlates with deploy
Root cause identified:
Memory limit too low for current heap profile
Triggered by: commit a3f8c2b (feature/cache-preload) — 14:28 UTC
Recommended actions:
1. Increase memory limit to 768Mi in deployment manifest
2. Review cache-preload logic for unbounded growth
3. Add memory headroom alert at 80% threshold
Investigation complete — 1m 47s

How it works

Connect once, investigate every incident, and act with confidence.

1

Connect your stack

Integrate Prometheus, Grafana, Datadog, logs, CI/CD, and cloud APIs in minutes.

2

Let Hawkeye investigate

Hawkeye correlates signals, changes, and topology and surfaces the root cause.

3

Review and act

Get guided steps or automate remediation with approval.

Built for production Kubernetes.
Proven in the field.

90% MTTR Reduction

Determine root cause in minutes. Full RCA before engineers even start manual investigation.

10× Less Alert Busywork

Filter thousands of alerts to actionable insights. Focus on what matters — not cascading false alarms.

24/7 Expert-Level Coverage

Junior engineers resolve incidents that normally require senior staff. Tribal knowledge lives in Hawkeye.

VPC Deploy In Your Environment

Deploys inside your AWS VPC or Azure VNET. Telemetry never leaves your environment. SOC 2 Type II certified.

5 min Time to First Value

Works out of the box. No weeks of prompt engineering. Connect your tools and Hawkeye starts reasoning immediately.

All Stack Telemetry Access

Queries raw metrics, logs, events, and traces — not dashboard screenshots. Correlates across K8s, KubeVirt, multi-cloud, and on-prem.

Works with your Kubernetes stack

Connect Hawkeye to your existing monitoring, logging, and incident tools.

Prometheus
Grafana
Datadog
Splunk
AWS
Azure
GCP
New Relic
PagerDuty
ServiceNow
Slack

Stop triaging. Start resolving.



Join engineering teams that have cut MTTR by 90% and reclaimed hours of engineering capacity weekly.

14-day free trial · No credit card required · Deploy in your VPC in minutes

neubird.ai · SOC 2 Type II Certified · help.neubird.ai

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