For DevOps & Infrastructure Teams
Ship changes without shipping incidents.
NeuBird AI correlates every deploy, config change, and infrastructure event with production signals, so your team knows within minutes whether a change caused the incident, not after a war room.
The Change Correlation Problem
Most incidents follow a change. Most teams can't prove it fast enough.
Deploys Outpace Investigation
Dozens of microservice releases a day make manual change correlation impossible during an active degradation.
Siloed Change and Runtime Signals
Terraform runs, feature flags, and app releases live apart from production telemetry, forcing engineers to cross-reference tools by hand.
Rollback Roulette
Without causal proof, teams guess and roll back healthy releases, adding unnecessary blast radius and downtime.
Unmonitored Blind Spots
New services and background queue consumers ship without monitoring, surfacing only after they break a downstream dependency.
How The Prod Ops Agent Fits Your Pipeline
Change-aware investigation, by default.
Enriches Signals Upstream
Normalizes noisy metrics, links broken distributed traces, and monitors un-instrumented jobs before thresholds fail.
Maps Direct Cause and Effect
Instantly cross-references telemetry anomalies against recent commits, Helm charts, and Terraform applies across 15+ sources.
Stages Verified Remediation
Delivers the exact commit or config revert with blast-radius scoping, leaving the final execution to your engineers.
Built for CI/CD and Infra Teams
What it gives your pipeline.
IaC and Deploy-Aware RCA
Traces production regressions directly to the specific pull request, configuration drift, or infrastructure change behind them.
Automated Postmortem Creation
Assembles the incident timeline, affected commit hashes, and telemetry evidence into an audit-ready postmortem draft in minutes.
Living Topology Maps
Updates dependency graphs from live traffic after every deploy, replacing out-of-date static architecture diagrams.
Native Tool Integration
Meets engineers where they work, via terminal CLI, web UI, Slack, or local tools like the AWS CLI.
Safe Auto-Rollback
Executes a scoped rollback or config revert once the causal deploy is confirmed, within the guardrails you define.
Change Failure Rate Tracking
Tracks change failure rate automatically across teams and services, a core DORA metric, without manual tagging.
FAQ
Common questions
Which CI/CD and infrastructure tools does NeuBird AI connect to?
NeuBird AI connects to GitHub Actions, GitLab CI, Jenkins, Terraform, Helm, and Kubernetes, along with your cloud provider, to build a complete change timeline alongside production telemetry.
How does NeuBird AI distinguish correlation from causation?
NeuBird AI evaluates multi-silo evidence, including live Kubernetes state, distributed traces, and dependency graphs, rather than relying on coincident timing or a metric spike.
Does it require changing our CI/CD pipelines?
No. NeuBird AI connects via standard APIs, webhooks, and 50+ integrations, querying your pipeline and monitoring tools in place without pipeline changes.
Can NeuBird AI auto-rollback a deploy without human approval?
Only if you configure it to. NeuBird AI supports fully automated rollback for pre-approved, low-risk scenarios, or a review-and-approve workflow for anything higher risk, you set the guardrail.
Does NeuBird AI work across multi-cloud or hybrid infrastructure?
Yes. NeuBird AI correlates infrastructure and deploy events across AWS, Azure, GCP, and on-prem Kubernetes clusters within a single investigation.
For DevOps & Infrastructure
Ready to ship with confidence?
See how NeuBird AI correlates every change with production impact, in real time.