Deploy on AWS in Minutes
FASTER MTTR
HIGHER SRE PRODUCTIVITY
24X7 AGENTIC COVERAGE
What you get with Hawkeye on AWS
Automated incident diagnostics from CloudWatch and numerous AWS services alarms
Natural-language explanations and next-best-actions
Rich audit trial for every action
Powered by
Generative AI engine
Why AWS customers adopt Hawkeye from NeuBird.ai
CloudWatch and AWS-native services give you great telemetry, but they still depend on engineers to figure out which alerts matter, what changed, and what to do. Hawkeye adds an Agentic AI SRE layer that interprets, correlates, and acts - in realtime - so your SRE and platform teams stay focused on reliability work.
Respond to incidents faster
Hawkeye turns CloudWatch alarm floods into a single incident summary with probable cause, blast radius, and recommended remediation.
Scale your AWS ops team
Let the Agentic AI SRE handle first-response tasks - classification, evidence collection, and Systems Manager automation - so the team can work on fixes.
Full AWS context 24/7
Correlate metrics, logs, traces, CloudTrail events, and resource health at AI speed, across accounts and regions.
How it works with AWS
Hawkeye natively consumes AWS telemetry, reasons over it using Generative AI, and either acts automatically or guides your operator.
1
Query
Amazon CloudWatch (metrics, logs, alarms), CloudTrail, X-Ray, and EKS.
2
Correlate
signals across time windows to detect causality (e.g. security group change right before latency increases).
3
Reason
via NeuBird’s agentic models to determine likely root cause, system impact, and intent.
4
Act
by triggering AWS Systems Manager Automation, Lambda Step Functions, or presenting a guided runbook.
5
Learn
from operator feedback to improve incident responses.
High-value AWS use cases
App/API degradation in ECS/EKS
Detect latency or error-rate spikes, correlate with deploys or cluster scaling, and recommend rollback or scale-out.
Cost / capacity anomalies
When AWS Cost Explorer or CloudWatch detects spending spikes, Hawkeye explains what changed and suggests rightsizing.
Network & security changes
Map connectivity or access issues to SG/NACL changes or regional events; notify only the affected services and teams
Lambda & serverless issues
Correlate failed invocations, timeouts, or concurrency limits with upstream service health.
Data & storage performance
Explain S3, RDS, or DocumentDB throttling and offer scale or retry guidance.
Multi-account visibility
Combine CloudWatch from multiple AWS accounts into one AI-authored incident view.
Security, Privacy, and Governance
Hawkeye is designed for enterprises that operate regulated workloads on AWS.
- Runs inside or adjacent to your AWS account with minimal egress.
- Audit log of every AI-generated action, decision, and prompt.
- IAM/SSO integration for role-based access control.
- Data minimization by default; no customer data is used for model training.
Next steps
You can be running Hawkeye in your AWS environment in under an hour.
Connect to AWS and get all of your data with just one simple connection (CloudWatch, CloudTrail, etc.)
Run your first incident through Hawkeye and compare MTTR vs. your current process.
Automate the top 4 runbooks and keep the rest as guided actions.
Register for upcoming AWS webinars
Dive-deep into Hawkeye with our upcoming live webinars where you can see just how teams running on AWS resolve incidents faster with Generative AI.
Linkedin Webinar
From CloudWatch Alerts to Resolution: Agentic AI for AWS Ops
AWS environments generate an overwhelming volume of telemetry. In this session, AWS experts will share proven best practices for configuring and operationalizing Amazon CloudWatch to improve visibility while NeuBird will demonstrate how Hawkeye reduces alert fatigue and establishes a strong foundation for modern cloud observability.
Linkedin Webinar
2026 Agentic AI Predictions
Join us for a live discussion exploring key trends, predictions, and what the new year holds for Agentic AI. A forward-looking conversation on where the space is heading and what to expect next.
