I just wrote a post on our blog.
New blog post incoming. Today we're looking into using the Azure API Management service to load-balance and do failover for Azure OpenAI deployments. https://lnkd.in/deFRtC93
Johnny Chadda’s Post
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Advanced Cloud AI Expert / Digital Cloud Solutions Architect @ Microsoft | Enterprise Architect @ TOGAF | MCPS, Microsoft Certified AI and Azure Architect
Generally available — Azure OpenAI now supports Global deployments. I have been hearing a lot about latency and availability in past few months, so if you are doing some quick testing and not strict about Data residency, try Global deployment in Azure OpenAI and share your thoughts 😇
Understanding Azure OpenAI Service deployment types - Azure AI services
learn.microsoft.com
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https://lnkd.in/e5_JdAyN Some models use a dedicated Azure OpenAI Service resource per tenant, while others rely on a multitenant application sharing one or more Azure OpenAI Service resources across multiple tenants.
Azure OpenAI Service Multitenant Load Balancing and Token Per Minute Tracking via Prometheus Metrics
techcommunity.microsoft.com
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Are you interested in building secure and scalable AI applications with Azure OpenAI Service? If so, you might want to check out this article that explains how Azure Landing Zones can help you create a seamless infrastructure for running OpenAI workloads. The article covers the Azure OpenAI Landing Zone reference architecture, which integrates various Azure services such as Azure Private Link, Azure Application Gateway, and Azure Cognitive Services. It also discusses the security and monitoring features that Azure provides to protect and optimize your OpenAI projects. #Azure #AI #LandingZones #CloudComputing #azureopenai #microsoft #avanade #advisory #generativeai #responsibleai
Azure OpenAI Landing Zone reference architecture
techcommunity.microsoft.com
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Sr. Cloud Solutions Architect - Data & AI @ Microsoft 🔸 Data Platforms and AI/ML Geek🔸 Co-organizer of DataTLV Conference
The #Azure OpenAI 𝐋𝐚𝐧𝐝𝐢𝐧𝐠 𝐙𝐨𝐧𝐞 is a reference architecture that integrates a variety of services that together create a seamless infrastructure for running OpenAI workloads. Deploying complex AI services such as Azure OpenAI, using a 𝐋𝐚𝐧𝐝𝐢𝐧𝐠 𝐙𝐨𝐧𝐞 approach helps you manage your resources in a structured, consistent manner, ensuring governance, compliance, and security are properly maintained. Among the suggested services in this architecture are Azure API Management (APIM), Azure Cognitive Services, Azure Key Vault and more. #openai #ai #gpt35 #gpt4 #azureopenai
Azure OpenAI Landing Zone reference architecture
techcommunity.microsoft.com
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In this article, Freddy & the team delve into the synergy of Azure Landing Zones and Azure OpenAI Service, building a secure and scalable AI environment. unpacking the Azure OpenAI Landing Zone architecture, which integrates numerous Azure services for optimal AI workloads. Furthermore we will also explore security measures and the significance of monitoring for operational success.
Sr. Cloud Solutions Architect - Data & AI @ Microsoft 🔸 Data Platforms and AI/ML Geek🔸 Co-organizer of DataTLV Conference
The #Azure OpenAI 𝐋𝐚𝐧𝐝𝐢𝐧𝐠 𝐙𝐨𝐧𝐞 is a reference architecture that integrates a variety of services that together create a seamless infrastructure for running OpenAI workloads. Deploying complex AI services such as Azure OpenAI, using a 𝐋𝐚𝐧𝐝𝐢𝐧𝐠 𝐙𝐨𝐧𝐞 approach helps you manage your resources in a structured, consistent manner, ensuring governance, compliance, and security are properly maintained. Among the suggested services in this architecture are Azure API Management (APIM), Azure Cognitive Services, Azure Key Vault and more. #openai #ai #gpt35 #gpt4 #azureopenai
Azure OpenAI Landing Zone reference architecture
techcommunity.microsoft.com
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It seems complex but it is not. It is what you need if you want to manage your resources in a structured, consistent manner, ensuring governance, compliance, and security are properly maintained.
Sr. Cloud Solutions Architect - Data & AI @ Microsoft 🔸 Data Platforms and AI/ML Geek🔸 Co-organizer of DataTLV Conference
The #Azure OpenAI 𝐋𝐚𝐧𝐝𝐢𝐧𝐠 𝐙𝐨𝐧𝐞 is a reference architecture that integrates a variety of services that together create a seamless infrastructure for running OpenAI workloads. Deploying complex AI services such as Azure OpenAI, using a 𝐋𝐚𝐧𝐝𝐢𝐧𝐠 𝐙𝐨𝐧𝐞 approach helps you manage your resources in a structured, consistent manner, ensuring governance, compliance, and security are properly maintained. Among the suggested services in this architecture are Azure API Management (APIM), Azure Cognitive Services, Azure Key Vault and more. #openai #ai #gpt35 #gpt4 #azureopenai
Azure OpenAI Landing Zone reference architecture
techcommunity.microsoft.com
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Check this useful article & sample by Paolo Salvatori. Our team (I am fortunate to be in the same team together with Paolo) are meeting with many ISVs, they are all building cool solutions and, in many cases, all face similar challenges, keeping track of token usage is one of these repeated challenges.
Principal Service Engineer @ Microsoft | MCPS, KCNA, Azure, Kubernetes, AI, Terraform, Bicep, C#, Python
Azure OpenAI Service provides various isolation and tenancy models for different scenarios. Some models use a dedicated Azure OpenAI Service resource per tenant, while others rely on a multitenant application sharing one or more Azure OpenAI Service resources across multiple tenants. This article focuses on showcasing the capabilities of an AKS-hosted multitenant REST/gRPC service, specifically in evenly distributing and load-balancing requests across multiple Azure OpenAI Service instances, all while effectively managing and tracking tokens per minute (TPM) for multiple tenants using Prometheus and Grafana. The article and companion sample provide implementation details for achieving the following: Article 👉 https://bit.ly/47czutA Code 👉 https://bit.ly/47vZjEN Also, learn how to: 🐯 Distributing calls across multiple Azure OpenAI Service instances 🐱 Instrumenting a C# application with Prometheus metrics 🐶 Expose an ASP.NET service via REST and gRPC using the NGINX Ingress Controller on AKS 🐰 Create a Grafana dashboard to observe per-tenant prompt and completion tokens #ai #openai #azureopenai #llm #azure #cloud #aks #azurekubernetesservice #kubernetes #nginx #nginxingresscontroller #microservices #routing #loadbalancing #monitoring #observability #bicep #prometheus #grafana #azuremanagedprometheus #azuremanagedgrafana #grafanadashboard #csharp #aspnet #dotnet
Azure OpenAI Service Multitenant Load Balancing and Token Per Minute Tracking via Prometheus Metrics
techcommunity.microsoft.com
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Azure OpenAI Landing Zone reference architecture "In this article, we delve into the synergy of Azure Landing Zones and Azure OpenAI Service, building a secure and scalable AI environment. unpacking the Azure OpenAI Landing Zone architecture, which integrates numerous Azure services for optimal AI workloads. Furthermore we will also explore security measures and the significance of monitoring for operational success" https://lnkd.in/dBPgh8bi
Azure OpenAI Landing Zone reference architecture
techcommunity.microsoft.com
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Azure OpenAI with Azure App Gateway
Slightly over a month ago, I shared best practices and methods on addressing Azure OpenAI token limits, including a detailed how-to in using Azure API Management. This is a quick post about how to use Azure Application Gateway as an alternative method. https://lnkd.in/gB7hG5pr
Load Balancing Azure OpenAI using Application Gateway
raffertyuy.com
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In this article, we delve into the synergy of Azure Landing Zones and Azure OpenAI Service, building a secure and scalable AI environment. unpacking the Azure OpenAI Landing Zone architecture, which integrates numerous Azure services for optimal AI workloads. Furthermore we will also explore security measures and the significance of monitoring for operational success.
Azure OpenAI Landing Zone reference architecture
techcommunity.microsoft.com
