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Speaker

Carlo Sacchi

Carlo Sacchi

Lead Cloud, DevOps, Microsoft MVP and Podcaster

Lead Cloud, DevOps and Podcaster

Amsterdam, The Netherlands

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DevOps & Cloud Engineer with 20+ years of IT experience. Microsoft MVP on Infrastrucure as Code, specializing in cloud transformations, Microsoft Azure, DevOps and cost optimization.
Founder and host of the Azure Italia Podcast. Community Builder.

DevOps e Cloud Engineer con oltre 20 anni di esperienza IT. Microsoft MVP su Infrastrucure as Code, Specializzato in trasformazioni cloud, Azure, DevOps e ottimizzazione dei costi. Fondatore e conduttore del podcast Azure Italia Podcast il primo Podcast in italiano su su Azure.

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Area of Expertise

  • Information & Communications Technology

Topics

  • Cloud Computing
  • Microsoft
  • Microsoft Azure
  • Microsoft Fabric
  • Azure DevOps
  • DevOps
  • Cloud FinOps
  • Kubernetes
  • Systems Administration
  • Cloud Architecture
  • Git
  • GitHub
  • IT Security
  • Podcast
  • Terraform
  • Infrastructure as Code

Sessions

DevFinOps: The Convergence of Development, Finance and Operations in the Microsoft Azure Ecosystem en

In an era of skyrocketing cloud costs, DevFinOps integrates financial awareness into the DevOps cycle. Learn how to implement cost estimation in PR, automate optimization with Azure Advisor, and turn every developer into a budget guardian.

Guardrails First: Govern Azure Before It Governs You en it

As Azure grows, so do entropy and risk: fragmented subscriptions, “creative” permissions, inconsistent naming, and costs with no clear ownership. This session shows how to build a guardrail-based foundation, standards, controls, accountability, and clear boundaries between teams and environments. The goal isn’t to block people, but to enable speed and security through simple, automatable rules.

Target audience: Architects, DevOps/Platform engineers, security stakeholders.
Level: Basic & Intermediate.

From IaC to AI-Ops: Azure Review, Drift Detection and Troubleshooting with Copilot Guardrails en it

AI is entering the daily work of cloud and DevOps teams: it can review Terraform and Bicep, explain failed deployments, analyze drift, generate runbooks and support incident triage. But when AI gets close to infrastructure, speed without control becomes a risk.

In this session we will explore a practical Azure-first workflow where Copilot assists platform and DevOps teams, but every change remains governed: pull request review, plan/what-if validation, policy-as-code checks, sandbox execution, human approval and traceable remediation.

The goal is not to let AI operate Azure on its own, but to show how teams can use AI to improve review quality, reduce troubleshooting time and keep infrastructure changes auditable and safe.

Da IaC ad AI-Ops: usare Copilot per revisionare, diagnosticare e governare Azure en it

Questa sessione mostra come usare AI e Copilot nei workflow Azure senza trasformarli in automazione incontrollata: review di Terraform/Bicep, analisi di drift, policy compliance, runbook, troubleshooting e incident triage, sempre con approval, audit trail e policy gates.

Guardrails First for the Agent Era: Azure Landing Zones That Enable, Not Slow Down en it

This session shows how to make an Azure Landing Zone ready for AI workloads: management groups, RBAC, policy, exemptions, private networking, logging and cost control managed as code, with an approach that scales from SMEs to enterprise.

Guardrails First per l’era degli agenti: Azure Landing Zones che accelerano, non frenano en it

Questa sessione mostra come rendere una Azure Landing Zone pronta per workload AI: management group, RBAC, policy, exemption, networking privato, logging e cost control gestiti come codice, con un approccio scalabile da PMI a enterprise.

Copilot sotto controllo: Platform Eng multi-tenant su Azure con Terraform, Bicep e policy gates it

Questa sessione mostra come usare GitHub Copilot e agentic development in un flusso Azure-first governato: IaC con Terraform/Bicep, sandbox, PR gate, policy-as-code, plan/what-if, canary deploy e approvazione umana per accelerare senza perdere controllo.

Guardrail First: governa Azure prima che sia Azure a governare te en it

Man mano che Azure cresce, crescono anche entropia e rischio: subscription frammentate, permessi “creativi”, naming incoerente e costi senza una chiara ownership. Questa sessione mostra come costruire una base fondata sui guardrail: standard, controlli, accountability e confini chiari tra team e ambienti. L’obiettivo non è bloccare le persone, ma abilitare velocità e sicurezza attraverso regole semplici, automatizzabili e sostenibili.

Carlo Sacchi

Lead Cloud, DevOps, Microsoft MVP and Podcaster

Amsterdam, The Netherlands

Actions

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