Chedy Missaoui
DevOps & Cloud Architect
Tunis, Tunisia
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Chedy Missaoui is a DevOps & Cloud Architect at Tessan Group and a Microsoft Certified DevOps Engineer Expert.
With a proven track record of helping customers accelerate value delivery, Chedy is passionate about enhancing the productivity of software development organizations through cloud-native architectures, scalable infrastructure, and modern DevOps practices.
Chedy focuses on coaching teams, establishing tailored processes, and implementing the right tools to drive success.
Area of Expertise
Topics
PaaS to the Future: Modern AI-First Architectures on Azure
As large language models and intelligent services become foundational to modern applications, architects and developers are rethinking their cloud-native patterns. In this session, we’ll explore what it means to build AI-first applications using Platform-as-a-Service (PaaS) on Microsoft Azure.
We’ll walk through practical architectures that embed Azure OpenAI, Cognitive Services, and event-driven workflows directly into your apps—without having to manage infrastructure. You’ll also see how the Model Control Plane (MCP) enables standardized model management, monitoring, and governance, ensuring consistent lifecycle control across environments.
You’ll discover how to combine services like Azure App Service, Functions, Cosmos DB, and API Management with MCP to deliver scalable, intelligent experiences at speed—while maintaining alignment with enterprise policies and compliance requirements.
Through two real-world inspired examples—an AI-powered customer support bot and a real-time feedback analyzer—you’ll learn how to operationalize LLMs, manage them via the MCP, choose the right Azure components, and apply best practices for security, cost optimization, and governance.
Whether you're modernizing legacy apps or building cloud-native platforms from scratch, this session will give you a solid blueprint to go from PaaS to the future with AI at the core, with MCP ensuring your models remain under control and enterprise-ready.
LLMs Go Local with Microsoft Agent Framework
What if you can run Large Language models directly on your local machine, with no cloud, no network latency and no subscriptions?
In this workshop, we will explore with a hands on approach how to deploy and use local LLMs with C# and the Microsoft Agent Framework.
We will discover the benefits of running GenAI at the Edge:
🍫 Bring intelligence closer to your data
🍰Build, test, and iterate offline
🍪 Keep your models private and in control
Foundations in the Cloud: Getting Started with Azure PaaS
In this beginner-friendly session, we’ll introduce you to the core Azure Platform-as-a-Service (PaaS) offerings that make modern app development faster, smarter, and more scalable.
Learn how to deploy web apps with Azure App Service, host background services using Azure Functions, and manage data with Azure SQL — all while securing access using Managed Identity .
We’ll also cover how to monitor your solutions with Application Insights and keep costs under control using Azure Cost Management.
Whether you're a developer, IT pro, or architect, this session will equip you with a solid foundation to start building in the cloud with confidence.
PaaS to the Future: Modern AI-First Architectures on Azure
As large language models and intelligent services become foundational to modern applications, architects and developers are rethinking their cloud-native patterns. In this session, we’ll explore what it means to build AI-first applications using Platform-as-a-Service (PaaS) on Microsoft Azure.
We’ll walk through practical architectures that embed Azure OpenAI, Cognitive Services, and event-driven workflows directly into your apps—without having to manage infrastructure. You'll see how to combine services like Azure App Service, Functions, Cosmos DB, and API Management to deliver scalable, intelligent experiences at speed.
Through two real-world inspired examples—an AI-powered customer support bot and a real-time feedback analyzer—you’ll learn how to operationalize LLMs, choose the right Azure components, and apply best practices for security, cost optimization, and governance.
Whether you're modernizing legacy apps or building cloud-native platforms from scratch, this session will give you a solid blueprint to go from PaaS to the future with AI at the core.
The People and Process Side with Azure DevOps
In the world of DevOps, the emphasis often falls heavily on tools and technology, leaving the equally critical aspects of people and process under-explored.
This session delves into the holistic definition of DevOps as the union of people, processes, and tools aimed at enabling continuous delivery of value to end-users.
Discover how leveraging the various modules of Azure DevOps can lead to significant improvements in team collaboration, process automation, and overall project success.
AI COMMUNITY CONFERENCE - AICO TUNISIA Sessionize Event
AI COMMUNITY DAYS Sessionize Event
aMP Hammamet 2025 Sessionize Event
AI Community Conference - AICO Tunisia Sessionize Event
Tunisia Dev Days 2024 Sessionize Event
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