Meet us at AWS re:Invent | Booth # 712:
We are excited to announce that Resolve AI has expanded to offer full support for all AWS services, providing AWS customers an always-on AI SRE to autonomously investigate incidents and improve operations across their AWS and Kubernetes environments. The new capabilities will be on full display at re:Invent 2025 - visit booth 712.
Resolve AI transforms application troubleshooting and performance management for AWS CloudOps into natural, conversational experiences that enable fast resolution with AI agents. With a quick and secure AWS Identity and Access Management (IAM) integration, Resolve AI multi-agent system discovers context about your AWS infrastructure, including Amazon Elastic Container Service (ECS), Amazon Elastic Compute Cloud (EC2), Amazon Relational Database Service (RDS), Amazon Managed Streaming for Apache Kafka (MSK), Application Load Balancer (ALB), Amazon Managed Service for Prometheus, Amazon Managed Kubernetes Service (EKS) and more. No complex setup, scripts, or additional configuration required.
Leveraging Resolve AI represents an opportunity for engineering teams to identify an incident’s root cause in 10 minutes, backed with detailed evidence to support running production systems built using AWS services. Teams can discover cost optimization across observability and infrastructure spend, enhance security, proactively debug production, design improved software, and more. In this blog, we'll explore the benefits of having an AI SRE that works seamlessly with your AWS services, explain how it works, and share how you can get started.
AWS provides the foundation for modern cloud infrastructure with powerful capabilities across compute, storage, databases, AI, and more. As teams scale their operations across multiple AWS services, including Amazon ECS, Amazon EC2, Amazon RDS, Amazon MSK, Amazon EKS, alongside third-party observability tools, they need to correlate signals across Amazon CloudWatch metrics, AWS CloudTrail events, RDS Performance Insights data, service configurations, and recent code changes in GitHub to identify patterns and trends. Engineers often work across multiple tools and interfaces during incident investigations, which can be time-consuming, especially during critical moments.
Our AI SRE helps teams work more efficiently across your AWS stack and other platforms by autonomously discovering and reasoning over your environment alongside code, third-party observability data, and infrastructure for incident resolution and day-to-day production work. It brings autonomous and conversational intelligence to your existing AWS infrastructure, enabling engineers to automatically get to the root cause, ask natural questions, and receive evidence-backed answers that span multiple AWS services, all without switching between tools or manually piecing together signals.
Key benefits include:
Resolve AI integrates with your AWS infrastructure. Once connected via IAM, Resolve AI discovers relevant context across your environment and maintains a comprehensive understanding of your AWS services, configurations, and operational state. This enables Resolve AI to quickly and thoroughly investigate incidents, correlate findings across services, and deliver explanations grounded in actual signals and events within minutes.
The workflow is straightforward:
With this capability, teams can investigate all their AWS services through a unified conversational interface, making the complexity of multi-service architectures more manageable.
We are covering a large set of services with AWS; here's a small sampling of scenarios of how you can use Resolve AI for AWS:
Discover how Resolve AI can amplify your AWS infrastructure, enhancing developer productivity and customer satisfaction. Available to all Resolve AI customers, it's easy to get started in five simple steps:
Resolve AI’s robust support for AWS is available today, and it's just the beginning. As we continue to deepen our AWS service coverage and evolve our AI capabilities, the gap between asking a question about your infrastructure and receiving a complete, actionable answer will continue to shrink. We will continue to march towards closed-loop remediations and full agent support for software engineering.
The teams that win will be those that can operate and optimize AWS services with the least friction, the fastest time to resolution, and the most leverage per engineer. They will be the teams who turn production engineering from reactive firefighting into proactive system management. That's what an AI SRE delivers, and with Resolve AI for AWS, that transformation starts now.
Book a demo with Resolve AI to see how AWS and Resolve works better together. Available on AWS Marketplace.
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Vibe debugging is the process of using AI agents to investigate any software issue, from understanding code to troubleshooting the daily incidents that disrupt your flow. In a natural language conversation, the agent translates your intent (whether a vague question or a specific hypothesis) into the necessary tool calls, analyzes the resulting data, and delivers a synthesized answer.
