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NeuBird for Red Hat OpenShift

OpenShift incident root cause, governed from one platform.

NeuBird is the Agentic Operations Center for Red Hat OpenShift and Red Hat Ansible Automation Platform. It deploys inside your cluster, and when something breaks the Production Ops Agent posts the root cause in Slack in under 5 minutes, at 94% accuracy. Fixes run only through templates and merge requests your team approves.

The problem

Production runs on OpenShift.Every laptop holds a prod key.

Most enterprises run production on Red Hat OpenShift, across their own datacenters and AWS. To keep up, engineers are bringing in AI agents, often running right on their laptops. But each of those agents holds its own credentials to production, runs up its own model spend, and answers to no central governance.

  1. 1

    Production runs on OpenShift

    Clusters across your own datacenters, and Red Hat OpenShift Service on AWS.

  2. 2

    Agents run on laptops

    Engineers bring in coding agents, chat assistants and homegrown ops agents to keep up.

  3. 3

    Every laptop holds a prod key

    Each agent has its own credentials and its own path straight into production.

  4. 4

    Spend with no governance

    Each one runs up its own model spend and answers to no central governance.

The Agentic Operations Center

One governed platform.Access once. Remember forever. Serve everyone.

NeuBird closes that gap. As the Agentic Operations Center, it gives every agent one governed platform instead of its own path into production. Telemetry is queried where it lives, with zero telemetry storage. Every investigation becomes shared memory, and every action is policy-gated and audited.

  1. 1

    Every agent, one platform

    The Production Ops Agent, custom agents, coding agents and engineers all route through NeuBird instead of their own path into production.

  2. 2

    Access

    Telemetry and models are queried where they live, with zero telemetry storage.

  3. 3

    Remember

    Every investigation becomes shared memory: conclusions, evidence and approvals, never raw telemetry.

  4. 4

    Serve

    Every action is policy-gated, from Suggest to Recommend to Act, and audited.

Supported directly

Deployed inside your cluster.You decide what NeuBird may run.

In Red Hat environments, NeuBird connects directly to OpenShift and Ansible Automation Platform. It deploys inside your own cluster, so your telemetry never leaves it. And its Red Hat Ansible Certified Collection lets you decide exactly which job templates NeuBird may run.

  1. 1

    Connects directly

    NeuBird works with Red Hat OpenShift and Red Hat Ansible Automation Platform.

  2. 2

    Deployed inside your cluster

    It runs in its own namespace, so your telemetry never leaves the cluster.

  3. 3

    A certified collection

    NeuBird's Red Hat Ansible Certified Collection connects it to Ansible Automation Platform.

  4. 4

    You decide what it may run

    Each job template is marked safe to run or held for approval.

When something breaks

The incident lands in Slack.Root cause in under 5 minutes, at 94% accuracy.

A P1 opens in ServiceNow and lands in your team's Slack channel, where the Production Ops Agent is already investigating. It checks 15+ sources in parallel and replies in the thread with the root cause: a network policy change cut the order service off from its database.

  1. 1

    A P1 opens in ServiceNow

    INC0048213 lands in your team's Slack channel, next to the alert and a customer report.

  2. 2

    Already investigating

    The Production Ops Agent picks it up in the thread before anyone asks.

  3. 3

    15+ sources in parallel

    Pods, events, NetworkPolicies, Routes, Prometheus, Loki, GitLab and change history.

  4. 4

    Root cause in under 5 minutes

    At 94% accuracy: a network policy change cut the order service off from its database.

Mitigate

A trusted playbook stops the bleeding.Only templates your team approved run on their own.

With the cause confirmed, NeuBird matches the finding to an Ansible job template your team has already approved as safe to run, and launches it. Ansible Automation Platform restores the last known good policy, and the errors clear.

  1. 1

    Stop the bleeding

    With the cause confirmed, NeuBird posts a mitigation in the thread while the fix is prepared.

  2. 2

    Matched to an approved template

    ocp-restore-netpol-lkg is on the safe-to-run list, approved by Vinod Jayaraman.

  3. 3

    Ansible Automation Platform runs it

    Job #4821 restores the last known good NetworkPolicy, task by task.

  4. 4

    The errors clear

    Route 503s fall from 38% to 0.2%, all 14 pods pass readiness, and Andrew Lee confirms.

Fix the root cause

The fix goes through GitLab.Merged only after your engineer approves.

Mitigation buys time, but the faulty change still lives in Git. So NeuBird opens a GitLab merge request that restores the rule and adds a policy test, and it waits at an auditable approval gate until your network engineer signs off. Then the investigation is saved to memory, with zero telemetry storage, so this failure never has to be solved from scratch again.

  1. 1

    The fix goes through GitLab

    NeuBird opens merge request !219 to restore the rule and add a policy test. The pipeline passes.

  2. 2

    An auditable approval gate

    The merge request waits until your network engineer signs off.

  3. 3

    Merged after approval

    Andrew Lee approves for Network Engineering, and the merge is recorded in the NeuBird audit trail.

  4. 4

    Saved to memory

    The investigation is remembered with zero telemetry storage, so this failure is never solved from scratch again.

Every role

One incident,and what changes for every role.

OpenShift cluster administrators get root cause in minutes. Network engineers approve every fix before it merges. And CIOs bring agent sprawl and spend under one governed platform, with one audit trail and about 90% less token waste.

OpenShift cluster administrator

Root cause in minutes.

Under 5 minutes at 94% accuracy, and trusted playbooks that stop the bleeding.

ocp-prod-east · INC0048213
Root cause4m 12s
Mitigated byAnsible job #4821
Route 503 rate38% → 0.2%
Network engineer

Every fix approved.

Policy changes traced to their impact, and fixes merged only after an auditable approval gate.

orders/allow-egress-db
ChangeMR !218 · 5432 → 5433
ImpactRoute 503s at 38%
Fix!219 · approved by Andrew Lee
CIO

Agent sprawl, governed.

Every agent's access, spend and actions in one governed platform.

Weekly digest · agent spend by team
Platform
Network
App teams
Agentic actionsOne audit trail
~90%less token waste

FAQ

Common questions

What does NeuBird do for Red Hat OpenShift?

NeuBird is the Agentic Operations Center for Red Hat OpenShift and Red Hat Ansible Automation Platform. It gives every agent one governed platform instead of its own path into production. When something breaks, the Production Ops Agent investigates in your Slack channel, queries 15+ sources in parallel and posts the root cause in under 5 minutes, at 94% accuracy.

Does our telemetry leave the cluster?

No. NeuBird deploys inside your own OpenShift cluster and queries telemetry where it lives, with zero telemetry storage. Its memory holds conclusions, causal chains and approvals, never logs, metrics or traces.

Which Ansible job templates can NeuBird run?

Only the ones you allow. NeuBird's Red Hat Ansible Certified Collection lets you decide exactly which job templates NeuBird may run. Templates your team has approved as safe to run can launch on their own; the rest wait for approval. Every action is recorded in the audit trail.

How does NeuBird fix the root cause, not just the symptom?

After mitigation, NeuBird opens a GitLab merge request with the fix and a policy test. It waits at an auditable approval gate until your engineer signs off, and the investigation is then saved to memory so the same failure never has to be solved from scratch again.

Does this replace Prometheus, Grafana or Loki?

No. NeuBird queries them in place. Your monitoring stack, retention and dashboards stay exactly as they are, with no second ingestion pipeline.

How does NeuBird govern the AI agents engineers already use?

Coding agents, custom agents over MCP and engineers in Slack and ServiceNow reach production through one governed platform instead of holding their own credentials. Every action is policy-gated across Suggest, Recommend and Act, model spend is metered in one place, and every agentic action lands in one audit trail, with about 90% less token waste.

NeuBird for Red Hat OpenShift

Access once. Remember forever. Serve everyone.

From ungoverned agents on every laptop to one governed platform, for Red Hat OpenShift and Ansible Automation Platform.