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AutoCon 2 outlines multi-track NetOps labs for automation and AI

Source Decision Insights Coverage Published July 9, 2026
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Best suited for

Seniority
Staff
Job function
Network / Network Engineer
Persona
Network Engineer
Buyer role
Technical Implementer / Administrator
Decision stage
Where to buy
Adoption curve
Early Adopters
Technology maturity
Operational Expansion
Industry
Information Technology / Software & Services / IT Services / AI Infrastructure

Our classification, not the publisher's statement. Best suited for, not only for.

AutoCon 2 introduces multi-track, hands-on labs aimed at NetOps and automation teams, with sessions covering Source of Truth, orchestration, telemetry, Kubernetes networking, and GenAI for networking. The format matters for enterprise IT and security leaders planning repeatable network change workflows and day-2 observability.

Research Overview

The vendor describes AutoCon 2 as a follow-on to an earlier AutoCon Bundle, adding hands-on learning tracks that support different paths through NetOps topics. The curriculum spans Source of Truth design, orchestration and intent workflows, observability and telemetry patterns, and Kubernetes networking concepts.

The labs also cover operational playbooks and runbooks, including runbooks and SRE elements such as SLOs, incident triage, and postmortems. Additional content includes GitOps for networking and policy as code for admission policies, RBAC, and audit trails.

Key Findings

The brief lists training outcomes focused on building model and schema-based Source of Truth for multi-vendor networks, including drift control. It also references Ansible content intended to cover idempotent playbooks, inventory patterns, and safe change windows.

Other outcomes include Python scripting for NetOps from CLI to API, plus templating guidance using Jinja strategies and data validation with golden configuration pipelines. The agenda also includes intent and orchestration concepts that move from desired state to device state with guardrails and rollbacks.

Technical Breakdown

The described technical scope includes GitOps practices for networking, such as branching models and code review with CI checks for network changes. Telemetry topics include streaming versus polling, time-series storage approaches, and alert design.

The curriculum references health correlation by tying network signals to application or Kubernetes workloads for faster MTTR. Kubernetes networking coverage is listed as including CNI basics, services, ingress, and multi-cluster considerations.

Operational Impact

The brief frames operational material around runbooks and SRE workflows, with SLOs for network services and incident triage and postmortems. It also includes checklists for telemetry coverage, alert tuning, and runbooks.

For platform and SRE use cases, the content emphasizes day-2 observability and incident response aligned with the included telemetry and health correlation themes. For network engineers and architects, it targets a shift from manual changes toward Source of Truth and automation patterns.

This vendor blog brief outlines AutoCon 2’s multi-track, hands-on labs across Source of Truth, automation tooling, Kubernetes networking, telemetry, runbooks, and practical GenAI patterns for networking. It is relevant to enterprise decision-makers evaluating network automation and observability workflows, and it signals a fact-based summary of the vendor blog.

Blog post, originally published at aviznetworks.com.

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