Unlocking a New Era of AWS Operations: AI SRE Now on AWS Marketplace
Today, we’re taking a major step forward in transforming enterprise IT operations. I’m proud to announce that Hawkeye, our AI SRE Agent for Enterprise, is now available to millions of AWS customers through AWS Marketplace. With this expansion, Hawkeye moves directly into the center of modern cloud operations — delivering immediate access to intelligence that changes how teams manage complex environments.
Throughout my career building and scaling enterprise systems, I’ve watched cloud operations become increasingly complicated — sprawling ecosystems of specialized tools, endless telemetry, and growing operational complexity.
The real leap forward isn’t adding another data collection tool — it’s introducing intelligence that turns overwhelming telemetry into decisive action.
The Hidden Gap in Cloud Operations
When I speak with AWS customers about operational challenges, a consistent theme emerges: despite major investments in observability and monitoring, the toughest gap remains — turning insight into action.
It’s not a lack of tools or data. Enterprises often have well-configured CloudWatch, aggregated logs, and finely tuned alerts. Yet when incidents strike, the path from alert to resolution remains slow and manual.
The scale of modern cloud infrastructure turns incident response into a complex, high-stakes investigation. AWS environments generate terabytes of telemetry daily, forcing engineers to piece together fragments of evidence under mounting time pressure.
Consider a typical scenario: during peak traffic, your e-commerce platform starts degrading. The answer isn’t in one dashboard — it’s scattered across API Gateway metrics, Lambda logs, RDS connection pools, and SQS queues. Connecting these dots manually can take hours or even days. This challenge demands a different approach.
Bridging the gap requires more than data access — it demands precision and reasoning.
Enterprise AI Agent: Immediate Value for AWS Customers
Precision and reasoning are exactly what Hawkeye was designed to deliver.
Rather than overwhelming teams with more raw telemetry, Hawkeye surgically extracts the most relevant signals, applies domain expertise, and uses LLM-driven analysis to surface clear, actionable insights in real time. It interprets telemetry through enterprise-sanctioned workflows, enabling teams to move from fragmented signals to root cause with speed and confidence.
Hawkeye offers flexible deployment options — deploy inside your Amazon VPC for full control, or as a secure SaaS service managed by NeuBird. Whichever model you choose, Hawkeye acts as an always-on SRE teammate — diagnosing incidents as they happen, providing detailed root cause analyses, and integrating seamlessly across your AWS environment.
Hawkeye strengthens cloud operations with:
- Accelerated Resolution: Diagnoses IT incidents instantly and reduces response times up to 90%, reducing MTTR (mean time to resolution) from hours to minutes.
- 24/7 Incident Diagnosis and Remediation: An AI SRE agent that continuously identifies root causes and recommends fixes without adding to team workload.
- Native AWS Integration: Connects to your entire AWS stack, including CloudWatch, CloudTrail and your observability tools to generate actionable insights in real time.
- Data Sovereignty: A secure in-VPC deployment leverages your Amazon Bedrock instance, keeping telemetry and operational data fully within your security perimeter.
- Immediate Value: No complex onboarding required — Hawkeye starts analyzing telemetry and surfacing issues as soon as it’s deployed.
Hawkeye now also supports the Model Context Protocol (MCP), enabling it to securely incorporate additional operational knowledge—such as documentation, incident histories, and runbooks—without leaving your security perimeter.
The Real-World Impact: From Theory to Practice
The real test of any technology is its impact in the field. Model Rocket, a technology solutions provider, faced a concerning API performance degradation during critical load testing. Hawkeye diagnosed the issue within minutes: their Lambda functions were creating excessive database connections, overwhelming their RDS instance’s connection pool. With this precise insight, the team implemented targeted configuration changes that immediately resolved the performance issues, kept their deployment on schedule, and protected their SLAs.
Their Co-founder and CTO, Jon Thies, summed it up: “Having an AI SRE working alongside our team has transformed how we operate. Critical issues that once took days to resolve are now handled in minutes.”
This pattern repeats across our AWS customers — 90% reduction in mean time to resolution, early detection of performance bottlenecks, and concurrent issue handling without overwhelming teams.
From Alert Fatigue to Innovation: Reclaiming Engineering Time
The modern IT stack has created a challenging reality: we’ve never had more telemetry, yet diagnosing incidents remains the #1 challenge SREs face. The result? Countless engineering hours sacrificed to incident response and firefighting.
Hawkeye changes this dynamic.
Working as an AI teammate, it diagnoses infrastructure issues, pinpoints root causes with surgical precision, and recommends actionable fixes — reducing troubleshooting from days to minutes. When your system falters at 2 AM, Hawkeye instantly knows which data to retrieve, how to reason through it, and how to surface root causes.
For AWS teams, this means reclaiming precious engineering hours — and redirecting that energy toward building, innovating, and delivering value.
Experience the Future of AWS Operations
Hawkeye is now available on AWS Marketplace. Experience how AI-powered operations can transform your team’s effectiveness, resilience, and innovation capacity.
Visit the AWS Marketplace listing to get started.
Written by

Goutham Rao