The Production Ops Agent for AWS.
NeuBird connects to Amazon CloudWatch, CloudTrail, and your AWS services to observe, correlate, reason, and act: triaging alerts, staging playbooks for human approval, and guiding operators without adding tool sprawl.
Automated Incident Diagnostics
Natural-Language Root Cause
Rich Audit Trail for Every Action
Root Cause in Under 5 Minutes
Deploy on AWS in Under an Hour
Why AWS Customers Adopt NeuBird
From alerts to answers
Respond
Resolve Incidents Faster Across Your AWS Stack
NeuBird turns CloudWatch alarm floods into a single incident summary with probable cause, blast radius, and recommended remediation, so your team spends time resolving, not triaging.
- Automated incident diagnostics from CloudWatch and AWS service alarms
- Natural-language explanations and next-best-actions
- Correlate metrics, logs, and traces across accounts and regions
- Link incidents to recent CloudTrail changes or deploys
Scale
Return Ops Capacity to Your AWS Roadmap
NeuBird automates the archaeology, not the engineer. Classification, evidence collection, and staged automation happen before anyone opens a dashboard, returning 40% of ops engineering capacity to roadmap work.
- Automated classification and severity scoring of alerts
- Evidence collection across CloudWatch, CloudTrail, and X-Ray
- Stage AWS Systems Manager Automation or Lambda runbooks for human approval
- Guided operator workflows for complex multi-service incidents
Contextualize
Full AWS Context, 24/7
NeuBird correlates metrics, logs, traces, CloudTrail events, and resource health across accounts and regions, queried in place with zero telemetry storage, so every on-call engineer starts an incident with full context.
- Cross-account and cross-region signal correlation
- CloudTrail event analysis for change causality
- IAM and security context in every investigation
- Noisy alerts tuned between incidents to cut alert fatigue
How It Works
Five steps from signal to resolution.
01
Query
Read CloudWatch metrics, logs, and alarms, plus CloudTrail, X-Ray traces, and EKS events in real time.
02
Correlate
Map signals across time windows to detect causality between disparate events across services, accounts, and regions.
03
Reason
Apply agentic models to determine the likely root cause, assigning confidence and surfacing supporting evidence.
04
Schedule
Stage AWS Systems Manager Automation, Lambda Step Functions, or guided runbooks under a Suggest, Recommend, or Act policy, with human approval on every action.
05
Learn
Record operator corrections and approved fixes as operations memory, conclusions rather than telemetry, with zero telemetry storage, so future investigations start from what worked.
Use Cases
High-value AWS scenarios
App / API Degradation in ECS / EKS
Detect latency or error-rate spikes, correlate with recent deploys or cluster scaling events, and surface probable cause with remediation steps.
Cost and Capacity Anomalies
When AWS Cost Explorer detects a spending spike, NeuBird explains exactly what changed: resource provisioning, traffic patterns, or misconfigured autoscaling.
Network and Security Changes
Map connectivity or access issues to Security Group and NACL changes, VPC flow anomalies, or regional AWS service events via CloudTrail correlation.
Lambda and Serverless Issues
Correlate failed invocations, timeout patterns, and concurrency limit breaches across Lambda functions and event sources.
Data and Storage Performance
Explain S3, RDS, or DocumentDB throttling events and offer targeted scale or configuration guidance based on usage patterns.
Multi-Account Visibility
Combine CloudWatch signals from multiple AWS accounts into a single AI-authored incident view, no manual log aggregation required.
Integration Options
Get started in under an hour, not weeks.
Deploy from AWS Marketplace
Launch directly into your AWS account from the AWS Marketplace listing. Consolidated billing, no separate vendor contract required.
Fully Managed SaaS
Cloud-native platform hosted on AWS. Zero infrastructure to manage. Connect your data sources and start resolving incidents within the hour.
Hybrid and Multi-Cloud
Correlate AWS, Azure, GCP, and on-premises signals in a unified AI-authored view. Ideal for enterprises with complex multi-environment footprints.
FAQ
Common questions
Do we need to replace our existing monitoring tools?
No. NeuBird connects to your existing observability stack (including CloudWatch, Datadog, and other tools) without ripping and replacing anything.
Can NeuBird correlate logs across multi-cloud environments?
Yes. NeuBird adds multi-cloud correlation by analyzing CloudWatch data alongside signals from Azure, GCP, and on-premises infrastructure in a single AI-authored view.
Can NeuBird run inside our VPC?
Yes. NeuBird supports both SaaS and private VPC deployment, with full SSO/SAML, RBAC, and data minimization controls. No customer data is used for model training.
Is remediation fully autonomous?
Autonomy is a dial, set per environment: Suggest, Recommend, or Act. Critical production can stay at Suggest or Recommend while dev and staging run at Act, and nothing executes without an approval the audit trail can show.
How quickly will we see value?
NeuBird deploys in under an hour. Once your first AWS data sources are connected, the Production Ops Agent delivers root cause in under 5 minutes at 94% accuracy, and your first verified operational receipt follows immediately after.
Get Started
Deploy the Production Ops Agent for AWS today.
Deploy in under an hour. Resolve your first incident the same day, with root cause in under 5 minutes and a staged fix for your approval.