Talks AWS re:Invent 2025 - Agentic AIOps: How LogicMonitor Prepares Enterprises for AI-Driven IT (AIM232) VIDEO
AWS re:Invent 2025 - Agentic AIOps: How LogicMonitor Prepares Enterprises for AI-Driven IT (AIM232) Summary of AWS re:Invent 2025 - Agentic AIOps Presentation
Introduction to Agentic AIOps
Agentic AI and AI-driven IT operations (AIOps) are converging to provide organizations with enhanced visibility, context, and automated intelligence
AIOps is a key use case for "letting loose" AI agents to perform many functions previously done by humans
Key value drivers for Agentic AIOps include:
Improving operational efficiency
Reducing costs
Boosting productivity of IT operations staff
Ensuring business performance and uptime
Partnerships Enabling Agentic AIOps
LogicMonitor has strong partnerships with Worldwide Technology (WWT) and NTT Data to deliver Agentic AIOps solutions
WWT leverages LogicMonitor's Edwin AI in their Advanced Technology Center and AI Proving Ground to test customer AI use cases
NTT Data is co-creating compelling full-stack observability and AIOps solutions with LogicMonitor, driving real-time value for customers
The Shift to Autonomous IT Operations
Customers are increasingly asking for AI agents to replace traditional L1 support, rather than the typical L1-L3 model
This enables faster incident response, automated root cause analysis, and closed-loop remediation
Partnerships allow for flexible, outcome-based service delivery models, moving away from fixed-cost, SLA-driven approaches
Agentic AI vs. Traditional AI/ML
Agentic AI differs from traditional AI/ML in its modularity, autonomous decision-making, and continuous feedback loops
Agentic AI agents can make decisions at speed, learn from feedback, and continuously improve the IT environment
This enables greater intelligence combined with speed, driving measurable outcomes like environment improvements vs. just SLA adherence
Evolving the MSP Model with Agentic AIOps
AIOps helps MSPs like NTT Data reduce the "cost to serve" customers, enabling 40-50% productivity improvements over 3 years
Predictive and proactive monitoring prevents incidents before they occur
Real-time root cause analysis and closed-loop automation reduce the overall environment that needs to be managed
Leveraging AWS Services for Agentic AIOps
AWS services like Bedrock, SageMaker, and Amazon EventBridge provide a scalable, flexible foundation for Agentic AIOps
Partners leverage these services to build curated AI orchestration layers, integrating data sources and enabling agent-to-agent collaboration
Observability and monitoring of the AI workloads themselves is crucial, including cost optimization and ensuring the AI is operating as intended
Getting Started with Agentic AIOps
Organizations should start small with POCs and MVPs, focusing on measurable outcomes and business value
Cultural change and mindset shifts are critical - moving from "clinging to systems" to embracing autonomous agents
Defining bite-size, measurable goals helps drive initial success and build momentum for broader Agentic AIOps adoption
The Future of Autonomous IT Operations
LogicMonitor's 3-year vision includes Agentic Automation, multi-agent swarming, and ultimately a self-healing, zero-touch data center
This mirrors the evolution of autonomous driving, with organizations adopting different elements to suit their needs
Partnerships with MSPs and resellers like WWT and NTT Data will be crucial in delivering this autonomous IT future quickly and effectively
Key Takeaways
Agentic AIOps is a convergence of observability, contextual intelligence, and autonomous agents to drive IT operations
Partnerships are enabling flexible, outcome-based service delivery models and accelerating Agentic AIOps adoption
Agentic AI differs from traditional AI/ML in its modularity, speed, and continuous improvement capabilities
Organizations should start small with POCs, focus on measurable business value, and embrace the cultural shift to autonomous IT
The future of IT operations is autonomous, mirroring the evolution of self-driving cars, with partners playing a critical role
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