Azure OpenAI Landing Zone reference architecture
In this article, delve into the synergy of Azure Landing Zones and Azure OpenAI Service, building a secure and scalable AI environment. Unpack the Azure OpenAI Landing Zone architecture, which integrates numerous Azure services for optimal AI workloads. Explore robust security measures and the significance of monitoring for operational success. This journey of deploying Azure OpenAI evolves alongside Azure's continual innovation.Security Best Practices for GenAI Applications (OpenAI) in Azure
This article presents an in-depth guide on security best practices for GenAI applications that use LLM models within the Azure platform. Aimed at developers and system administrators, it explores the essentials for maintaining the confidentiality, integrity, and availability of LLMs such as Azure OpenAI. It delves into practical measures for addressing security challenges, including data breaches, misuse of AI, and regulatory compliance, while also emphasizing the role of a shared responsibility model in cloud security. The guide provides a comprehensive roadmap for implementing layered security strategies, encryption protocols, access controls, and monitoring practices to ensure the robust security of LLM applications in Azure.Getting Started with Reliability on Azure: Ensuring Cloud Applications Stay Up and Running
Looking for uncompromised uptime and steadfast cloud solutions? Azure's architecture promises exceptional reliability, designed to keep your operations smooth around the clock. Delve into the essence of Azure's robustness—where every click matters, every second counts, and resilience is the rule, not the exception.Empowering AI: Building and Deploying Azure AI Landing Zones with Terraform
Discover the power of deploying Azure AI Landing Zones with Terraform. Explore best practices, secure connectivity, and streamlined access to Azure AI services. Learn to create a strong cloud foundation, optimize performance, and ensure governance for your AI solutions. Join us on this practical journey to harness the true capabilities of AI.Demystifying Azure VM Maintenance: A practical guide to minimizing disruptions
Discover the inside world of Azure's virtual machine maintenance in this comprehensive article. Learn about the planned and unplanned maintenance events, the innovative techniques used to apply updates, how Azure minimizes impact during these processes, and how customers can be notified in advance. Plus, find out about how customers can diagnose disruptions to VM availability. Don't miss out on this deep-dive into Azure's advanced maintenance strategies.
Codename Project Bose: Calculate Azure Cost of an Enterprise by cost centers, divisions, projects
While working on various customer and partner facing roles, I felt the necessity of a simple and flexible solution to align Azure Cost to the customer’s organizational structure. “Project Bose” is a fully operational prototype derived from the same thought process. This is a side project I am working on during my leisure time. I found various customers derived similar solutions in-house, and there are ISV solutions as well. But there are a few fundamental differences between “Project Bose” and all the other solutions I found. “Project Bose” has a flexible backend and hence any changes in organizational structure can easily be implemented on it without disruption. It is also independent of using Resource Tags, which gives it the opportunity to remain non-vulnerable to erroneous values injected intentionally or non-intentionally by IT-Ops. Project Bose is dedicated to an eminent Indian physicist, who predicted (theoretically) a special behavior of atoms, which later became famous as Bose-Einstein condensates. He also discovered a sub-atomic particle, later named after him – Boson. Why Project Bose? To replace Azure specific hierarchy of Cost Analysis (Tenant>Management Group>Subscription>Resource Group) with organization specific hierarchy such as Business Unit>Department>Cost Center>Project/Application. Provide an alternative option to mark projects/applications under different divisions/departments – moving away from using resource tags. Flexible way to replicate organizational hierarchy through easy-to-use interface and change/edit the tree vertically or horizontally with minimum effort and no disruption. A great way of presenting ongoing and past expenses on different projects and slice and dice cost at different levels. Optional implementation of forecasting. How does it work? Admins – can create the hierarchy according to organizational structure (ex. BU>Division>Cost Center>Project) and add items at each level. This structure is flexible. They can change the hierarchy at any time. For example – can change name of a Division, add or remove a Cost Center etc. Project/Application Owners – can add their project under a specific branch of the organizational tree and then align Azure Resource Group(s) to it. Business Owners/Decision Makers – see current and past cost, trends and forecasting. Base Architecture Azure Deployment Sample Visualization The code base with IaC is available with my GitHub repo. I can share with anyone interested.Designing and Implementing Modern Data Architecture on Azure Cloud.
Designing a modern, cloud data architecture is a critical component of the digital transformation journey of any enterprise. In this post, we cover some of the Azure Data Services used to deliver a solution designed to meet the customer's current and evolving future needs.
