Give to IBM Cloud with Autonomous DevOps Intelligence
Hawkeye AI SRE for IBM Cloud delivers autonomous investigation and intelligent analysis across your IBM Cloud environment. Hawkeye collects telemetry from your IBM Cloud resources, configurations, logs, and service metrics to provide actionable intelligence, empowering DevOps teams to accelerate incident resolution while maintaining your existing IBM Cloud security and governance frameworks.
Why DevOps teams choose Neubird for IBM Cloud enhancement:
- Enterprise-Wide Cloud Intelligence: Unlocks AI-powered investigation workflows across IBM Cloud services, DataDog, ServiceNow, OpenTelemetry, PagerDuty and other observability and monitoring tools for comprehensive cloud operations analysis and incident response.
- SFaster Incident Resolution: Transforms IBM Cloud monitoring data into immediate root cause analysis, dramatically reducing the time spent manually investigating resource issues and service disruptions.
- DevOps Efficiency: Automates routine IBM Cloud resource monitoring and investigation tasks, allowing DevOps teams to focus on strategic cloud architecture and innovation rather than reactive troubleshooting.
How Neubird enhances your IBM Cloud observability with AI SRE
- Intelligent Resource Analysis: Continuously tracks IBM Cloud virtual server performance, database activity, and storage utilization to identify optimization opportunities before they impact operations.
- Cost Intelligence: Monitors monthly IBM Cloud spending patterns and identifies underutilized resources, helping teams make informed decisions about scaling and resource allocation.
- Performance Optimization: Correlates IBM Cloud monitoring data with service performance to pinpoint bottlenecks in virtual servers, databases, and network traffic patterns.
IBM Cloud Monitoring + Hawkeye AI SRE Use Cases
- Automated Investigation: Hawkeye gathers telemetry from IBM Cloud to surface root cause analysis before manual investigation begins.
- Cross-Platform Monitoring: Enrich on-call engineer handoffs with pre-analyzed incident context from IBM Cloud, PagerDuty, or ServiceNow and DataDog to help SREs diagnosing the issue and accelerate response times.
- Resource Optimization: Identify underused resources, storage inefficiencies, and cost optimization opportunities through AI-powered analysis of IBM Cloud usage patterns.
Integration Help
Need help to set up the connection? Follow our detailed IBM Cloud integration setup guide or contact our team for personalized onboarding support.
Frequently Asked Questions
What is the IBM Cloud AI platform?
IBM Cloud AI is a number of AI and ML services, to help you build, deploy, and manage AI models and solutions on IBM cloud. It includes tools like IBM Watson, along with customizable ML and data science environments (IBM Watson Studio).
What is the difference between IBM Cloud’s native monitoring and Hawkeye AI SRE?
IBM Cloud provides built-in monitoring through IBM Cloud Monitoring and Log Analysis within their platform. Hawkeye extends this by providing autonomous investigation of IBM Cloud resource issues, cross-platform incident correlation with your observability stack, and proactive optimization recommendations that go beyond IBM Cloud’s native monitoring capabilities.
How does Hawkeye AI reduce troubleshooting time for IBM Cloud DevOps issues?
Hawkeye automatically tracks IBM Cloud virtual server metrics, database performance, and storage utilization patterns to quickly identify resource constraints and performance issues. Instead of manually checking multiple IBM Cloud dashboards and logs, teams get immediate insights into root causes, significantly accelerating problem resolution.
Can Hawkeye work alongside IBM Cloud’s existing monitoring tools?
Yes, Hawkeye integrates seamlessly with IBM Cloud using Service ID and API key authentication. It operates as an intelligent analysis layer that enhances your existing IBM Cloud monitoring without requiring changes to your IBM Cloud configuration, IAM policies, or monitoring setup.
What types of IBM Cloud resources can Hawkeye analyze?
Hawkeye can automatically investigate virtual servers, databases, Cloud Object Storage, and other IBM Cloud services. It gathers resource configurations, service metrics, and logs to provide comprehensive analysis and actionable recommendations while respecting your IBM Cloud security boundaries.
Resources
What Makes an AI Agent for IT Operations?
In modern IT operations, structured answers are rare—SREs must think critically across complex telemetry.
Our AI agent mimics that mindset: curating data, reasoning iteratively, validating via multiple LLMs, and learning from human input.
It’s not just a chatbot—it’s an autonomous problem solver built to act like a real engineer.
Model Rocket’s AWS Ops Breakthrough with AI SRE Agent
Model Rocket’s lean engineering team struggled with complex AWS operations, spending hours troubleshooting incidents. By integrating Hawkeye, an AI SRE Agent, they achieved 92% faster incident resolution and improved service reliability. Now, their engineers focus on innovation while AI handles CloudOps seamlessly.
Image Pull Errors: How Hawkeye Streamlines Container Deployment Troubleshooting
AI-powered teammates are transforming IT operations by automating investigations, accelerating decision-making, and reducing manual effort. By analyzing AWS, Kubernetes, and CI/CD telemetry, they pinpoint deployment issues in minutes, ensuring faster and more reliable rollouts. This shift allows SRE teams to focus on innovation rather than firefighting.
