Webinar Learn how to Optimize Azure Cloud Costs with the Microsoft Well-Architected Framework

Date: Friday 20th August
Time: 9.00-10.30 BST (10.00-11.30 CEST)

The Azure Well-Architected Framework (WAF) is a set of guiding tenets to improve the quality of a cloud infrastructure. The framework consists of five pillars of architecture excellence: Cost Optimization, Operational Excellence, Performance Efficiency, Reliability, and Security. Incorporating these pillars helps to produce a high quality, stable, and efficient cloud architecture.

In this webinar you will learn the WAF principles of cost optimization. These principles are a series of primary considerations that help an organization achieve business goals and return on investment while staying within a given budget. 

Webinar Agenda

• Introducing the Well-Architected Framework
• Designing within cost limits
• Provision the right resources
• Monitor your cloud spend
• Optimize for cost
• Trade-offs

Presenters

Carlo Garavaglia

Carlo is a certified Cloud Transformation Specialist focusing on driving various Service Providers projects & business activities. He is a driven by helping Service Providers improve their business while fulfilling their LOB.

Expertise: Hybrid cloud solutions, CSP, Azure​, cybersecurity

Roger Osterberg

Roger is an Azure Solution Sales Manager with over 20 years of experience in IT operations, IT architecture and IT management. Roger is driven by helping customers find and manage the best cloud services on the market.

Expertise: Cloud solutions and Virtualization

Mark Farragher

Mark Farragher is a certified Microsoft trainer (MCT) and provides Microsoft Official Courseware (MOC) trainings in a classroom, online or hybrid setting. He works with major Dutch, European and International training partners to share his expertise with a worldwide audience.

Mark is very good at breaking down complex subjects with clear, compact and concise explanations that everyone in his classroom can follow, even junior-level students. His AI and machine learning courses are well-known for their clarity and accessibility.

Mark has trained over 44,000 students worldwide, has gathered over 9,000 reviews from his students and holds a 4.4/5 star rating on the popular online course platform Udemy.