Building Autonomous Infrastructure with Observability and AIOps

The convergence of observability, AIOps, and agentic AI is changing the way that enterprises and cloud providers manage infrastructure. That will require a new way of thinking to bridge the gap among infrastructure systems to drive automation in a safe and secure way.

Full infrastructure automation requires many technologies: comprehensive telemetry data, data management, AI/ML, and infrastructure as code (IaC) tooling. More importantly, however, these technology tools need to be unified to build orchestration platforms. As islands to themselves, they won’t provide governance, safety, and coordination of automation across hybrid infrastructure.

Distributed Infrastructure Needs Automation

As infrastructure becomes more distributed, dynamic, and mission-critical, these trends will only become more important. Enterprises need an observability and automation stack that moves beyond visibility and insights to deliver agentic orchestration. This will require building orchestration platforms to help AI agents detect, decide, and trigger changes across tools in real time.

Futuriom believes the rapid emergence of AIOps and agentic AI technology signals a transformation in how network and infrastructure operations are executed. These innovations reflect a broader trend: the rise of AI-augmented automation systems that integrate observability, configuration management, execution, and policy into a single, programmable control plane. To adapt to this transformation, organizations need to standardize infrastructure data, moving from vendor-specific CLI outputs into structured formats that AI systems can understand. This foundation is critical to enabling effective AI decision-making, policy enforcement, and closed-loop automation across domains.

What's Inside The Autonomous Infrastructure Report?

For this report, Futuriom analysts gathered data from networking case studies, user interviews, and vendor presentations, as well as public information of record, to put together a view on how advances in agentic AI will drive autonomous infrastructure. These automation technologies are evolving to support the next transformation of cloud, communications, and enterprise environments.

Let's dive into how autonomous infrastructure and networks are evolving. This is, of course, a complicated topic, but it’s evolving fast. Here are the highlights covered in this report:

The convergence of observability, AIOps (AI for Operations), and agentic AI is changing the way that enterprises and cloud providers manage infrastructure. That will require a new way of thinking to bridge the gap among infrastructure systems to drive automation in a safe and secure way.
AIOps leverages AI and machine learning (ML) to automate and optimize network and infrastructure operations. It uses AI to analyze vast amounts of data from various sources, identify patterns, predict potential issues, and automate responses, ultimately improving efficiency.
Agentic AI has changed the infrastructure automation game, placing a premium on validating data, governance, and orchestration across platforms. To safely employ agentic automation, enterprises will need to implement comprehensive safety, compliance, and governance.
As infrastructure becomes more distributed, dynamic, and mission-critical, legacy tools that rely on dashboards, alerts, and manual interventions are no longer sufficient. Enterprises need a full observability and automation stack that moves beyond just visibility and insights to deliver agentic orchestration.
Automation and orchestration platforms will be required to consolidate control over disparate AI and automation systems, while providing control and governance. A patchwork of scripting and infrastructure as code (IaC) tools no longer suffices to drive automation across infrastructure.
Some of the companies highlighted in this report: Alkira, Arista Networks, Aviatrix, BE Networks, Cisco, Dynatrace, Extreme Networks, F5, Gigamon, HPE (Juniper), IBM (Ansible, HashiCorp), Itential, LogicMonitor, NetBox Labs, Nokia, Pulumi, Riverbed, Selector AI, Spacelift, System Initiative.
Total Pages: 26
Cost of the report: Totally free.

Special thanks to our sponsors: Aviatrix, Itential, and Selector AI.