#appgateway — Public Fediverse posts

#Azure is removing #TLS 1.0 and 1.1 from all services on October 31 2024. Despite what it shows in Azure Service Health (I think that's what it's called) and the vague terminology on the notice from Azure, ALL resources are affected, including #FrontDoor, #AppGateway, #APIManagement, etc. If clients aren't using TLS 1.2 or 1.3 by Oct 31, their requests will be refused. I confirmed this directly with our Azure rep. Check your service configs, and be aware if you integrate w/ embedded systems.

𝐈𝐦𝐩𝐥𝐞𝐦𝐞𝐧𝐭 𝐥𝐨𝐠𝐠𝐢𝐧𝐠 𝐚𝐧𝐝 𝐦𝐨𝐧𝐢𝐭𝐨𝐫𝐢𝐧𝐠 𝐟𝐨𝐫 𝐀𝐳𝐮𝐫𝐞 𝐎𝐩𝐞𝐧𝐀𝐈 𝐦𝐨𝐝𝐞𝐥𝐬

Azure OpenAI offers built-in logging and monitoring capabilities.

However, it's important to note that the default cognitive service logging doesn't capture or store details such as prompts, tokens, and models used as inputs and outputs of the service.

These metrics are particularly crucial for compliance and ensuring the service functions as intended. 📌

The following solution provides comprehensive logging and monitoring, as well as enhanced security for enterprise deployments of the Azure OpenAI Service API.

Take a look: https://learn.microsoft.com/en-us/azure/architecture/ai-ml/openai/architecture/log-monitor-azure-openai

#openai #azureopenai #monitoring #logging #sentinel #siem #log #loganalytics #azuread #API #AppGateway #azure #architecture #cybersecurity #ai #llm #aisecurity #microsoft #cloud #cloudnative

𝐈𝐦𝐩𝐥𝐞𝐦𝐞𝐧𝐭 𝐥𝐨𝐠𝐠𝐢𝐧𝐠 𝐚𝐧𝐝 𝐦𝐨𝐧𝐢𝐭𝐨𝐫𝐢𝐧𝐠 𝐟𝐨𝐫 𝐀𝐳𝐮𝐫𝐞 𝐎𝐩𝐞𝐧𝐀𝐈 𝐦𝐨𝐝𝐞𝐥𝐬

Azure OpenAI offers built-in logging and monitoring capabilities.

However, it's important to note that the default cognitive service logging doesn't capture or store details such as prompts, tokens, and models used as inputs and outputs of the service.

These metrics are particularly crucial for compliance and ensuring the service functions as intended. 📌

The following solution provides comprehensive logging and monitoring, as well as enhanced security for enterprise deployments of the Azure OpenAI Service API.

Take a look: https://learn.microsoft.com/en-us/azure/architecture/ai-ml/openai/architecture/log-monitor-azure-openai

#openai #azureopenai #monitoring #logging #sentinel #siem #log #loganalytics #azuread #API #AppGateway #azure #architecture #cybersecurity #ai #llm #aisecurity #microsoft #cloud #cloudnative

𝐈𝐦𝐩𝐥𝐞𝐦𝐞𝐧𝐭 𝐥𝐨𝐠𝐠𝐢𝐧𝐠 𝐚𝐧𝐝 𝐦𝐨𝐧𝐢𝐭𝐨𝐫𝐢𝐧𝐠 𝐟𝐨𝐫 𝐀𝐳𝐮𝐫𝐞 𝐎𝐩𝐞𝐧𝐀𝐈 𝐦𝐨𝐝𝐞𝐥𝐬

Azure OpenAI offers built-in logging and monitoring capabilities.

However, it's important to note that the default cognitive service logging doesn't capture or store details such as prompts, tokens, and models used as inputs and outputs of the service.

These metrics are particularly crucial for compliance and ensuring the service functions as intended. 📌

The following solution provides comprehensive logging and monitoring, as well as enhanced security for enterprise deployments of the Azure OpenAI Service API.

Take a look: https://learn.microsoft.com/en-us/azure/architecture/ai-ml/openai/architecture/log-monitor-azure-openai

#openai #azureopenai #monitoring #logging #sentinel #siem #log #loganalytics #azuread #API #AppGateway #azure #architecture #cybersecurity #ai #llm #aisecurity #microsoft #cloud #cloudnative

𝐈𝐦𝐩𝐥𝐞𝐦𝐞𝐧𝐭 𝐥𝐨𝐠𝐠𝐢𝐧𝐠 𝐚𝐧𝐝 𝐦𝐨𝐧𝐢𝐭𝐨𝐫𝐢𝐧𝐠 𝐟𝐨𝐫 𝐀𝐳𝐮𝐫𝐞 𝐎𝐩𝐞𝐧𝐀𝐈 𝐦𝐨𝐝𝐞𝐥𝐬

Azure OpenAI offers built-in logging and monitoring capabilities.

However, it's important to note that the default cognitive service logging doesn't capture or store details such as prompts, tokens, and models used as inputs and outputs of the service.

These metrics are particularly crucial for compliance and ensuring the service functions as intended. 📌

The following solution provides comprehensive logging and monitoring, as well as enhanced security for enterprise deployments of the Azure OpenAI Service API.

Take a look: https://learn.microsoft.com/en-us/azure/architecture/ai-ml/openai/architecture/log-monitor-azure-openai

#openai #azureopenai #monitoring #logging #sentinel #siem #log #loganalytics #azuread #API #AppGateway #azure #architecture #cybersecurity #ai #llm #aisecurity #microsoft #cloud #cloudnative

𝐈𝐦𝐩𝐥𝐞𝐦𝐞𝐧𝐭 𝐥𝐨𝐠𝐠𝐢𝐧𝐠 𝐚𝐧𝐝 𝐦𝐨𝐧𝐢𝐭𝐨𝐫𝐢𝐧𝐠 𝐟𝐨𝐫 𝐀𝐳𝐮𝐫𝐞 𝐎𝐩𝐞𝐧𝐀𝐈 𝐦𝐨𝐝𝐞𝐥𝐬

Azure OpenAI offers built-in logging and monitoring capabilities.

However, it's important to note that the default cognitive service logging doesn't capture or store details such as prompts, tokens, and models used as inputs and outputs of the service.

These metrics are particularly crucial for compliance and ensuring the service functions as intended. 📌

The following solution provides comprehensive logging and monitoring, as well as enhanced security for enterprise deployments of the Azure OpenAI Service API.

Take a look: https://learn.microsoft.com/en-us/azure/architecture/ai-ml/openai/architecture/log-monitor-azure-openai

#openai #azureopenai #monitoring #logging #sentinel #siem #log #loganalytics #azuread #API #AppGateway #azure #architecture #cybersecurity #ai #llm #aisecurity #microsoft #cloud #cloudnative

𝐈𝐦𝐩𝐥𝐞𝐦𝐞𝐧𝐭 𝐥𝐨𝐠𝐠𝐢𝐧𝐠 𝐚𝐧𝐝 𝐦𝐨𝐧𝐢𝐭𝐨𝐫𝐢𝐧𝐠 𝐟𝐨𝐫 𝐀𝐳𝐮𝐫𝐞 𝐎𝐩𝐞𝐧𝐀𝐈 𝐦𝐨𝐝𝐞𝐥𝐬

Azure OpenAI offers built-in logging and monitoring capabilities.

However, it's important to note that the default cognitive service logging doesn't capture or store details such as prompts, tokens, and models used as inputs and outputs of the service.

These metrics are particularly crucial for compliance and ensuring the service functions as intended. 📌

The following solution provides comprehensive logging and monitoring, as well as enhanced security for enterprise deployments of the Azure OpenAI Service API.

Take a look: https://learn.microsoft.com/en-us/azure/architecture/ai-ml/openai/architecture/log-monitor-azure-openai

#openai #azureopenai #monitoring #logging #sentinel #siem #log #loganalytics #azuread #API #AppGateway #azure #architecture #cybersecurity #ai #llm #aisecurity #microsoft #cloud #cloudnative

𝐈𝐦𝐩𝐥𝐞𝐦𝐞𝐧𝐭 𝐥𝐨𝐠𝐠𝐢𝐧𝐠 𝐚𝐧𝐝 𝐦𝐨𝐧𝐢𝐭𝐨𝐫𝐢𝐧𝐠 𝐟𝐨𝐫 𝐀𝐳𝐮𝐫𝐞 𝐎𝐩𝐞𝐧𝐀𝐈 𝐦𝐨𝐝𝐞𝐥𝐬

Azure OpenAI offers built-in logging and monitoring capabilities.

However, it's important to note that the default cognitive service logging doesn't capture or store details such as prompts, tokens, and models used as inputs and outputs of the service.

These metrics are particularly crucial for compliance and ensuring the service functions as intended. 📌

The following solution provides comprehensive logging and monitoring, as well as enhanced security for enterprise deployments of the Azure OpenAI Service API.

Take a look: https://learn.microsoft.com/en-us/azure/architecture/ai-ml/openai/architecture/log-monitor-azure-openai

#openai #azureopenai #monitoring #logging #sentinel #siem #log #loganalytics #azuread #API #AppGateway #azure #architecture #cybersecurity #ai #llm #aisecurity #microsoft #cloud #cloudnative

𝐈𝐦𝐩𝐥𝐞𝐦𝐞𝐧𝐭 𝐥𝐨𝐠𝐠𝐢𝐧𝐠 𝐚𝐧𝐝 𝐦𝐨𝐧𝐢𝐭𝐨𝐫𝐢𝐧𝐠 𝐟𝐨𝐫 𝐀𝐳𝐮𝐫𝐞 𝐎𝐩𝐞𝐧𝐀𝐈 𝐦𝐨𝐝𝐞𝐥𝐬

Azure OpenAI offers built-in logging and monitoring capabilities.

However, it's important to note that the default cognitive service logging doesn't capture or store details such as prompts, tokens, and models used as inputs and outputs of the service.

These metrics are particularly crucial for compliance and ensuring the service functions as intended. 📌

The following solution provides comprehensive logging and monitoring, as well as enhanced security for enterprise deployments of the Azure OpenAI Service API.

Take a look: https://learn.microsoft.com/en-us/azure/architecture/ai-ml/openai/architecture/log-monitor-azure-openai

#openai #azureopenai #monitoring #logging #sentinel #siem #log #loganalytics #azuread #API #AppGateway #azure #architecture #cybersecurity #ai #llm #aisecurity #microsoft #cloud #cloudnative

𝐈𝐦𝐩𝐥𝐞𝐦𝐞𝐧𝐭 𝐥𝐨𝐠𝐠𝐢𝐧𝐠 𝐚𝐧𝐝 𝐦𝐨𝐧𝐢𝐭𝐨𝐫𝐢𝐧𝐠 𝐟𝐨𝐫 𝐀𝐳𝐮𝐫𝐞 𝐎𝐩𝐞𝐧𝐀𝐈 𝐦𝐨𝐝𝐞𝐥𝐬

Azure OpenAI offers built-in logging and monitoring capabilities.

However, it's important to note that the default cognitive service logging doesn't capture or store details such as prompts, tokens, and models used as inputs and outputs of the service.

These metrics are particularly crucial for compliance and ensuring the service functions as intended. 📌

The following solution provides comprehensive logging and monitoring, as well as enhanced security for enterprise deployments of the Azure OpenAI Service API.

Take a look: https://learn.microsoft.com/en-us/azure/architecture/ai-ml/openai/architecture/log-monitor-azure-openai

#openai #azureopenai #monitoring #logging #sentinel #siem #log #loganalytics #azuread #API #AppGateway #azure #architecture #cybersecurity #ai #llm #aisecurity #microsoft #cloud #cloudnative

𝐈𝐦𝐩𝐥𝐞𝐦𝐞𝐧𝐭 𝐥𝐨𝐠𝐠𝐢𝐧𝐠 𝐚𝐧𝐝 𝐦𝐨𝐧𝐢𝐭𝐨𝐫𝐢𝐧𝐠 𝐟𝐨𝐫 𝐀𝐳𝐮𝐫𝐞 𝐎𝐩𝐞𝐧𝐀𝐈 𝐦𝐨𝐝𝐞𝐥𝐬

Azure OpenAI offers built-in logging and monitoring capabilities.

However, it's important to note that the default cognitive service logging doesn't capture or store details such as prompts, tokens, and models used as inputs and outputs of the service.

These metrics are particularly crucial for compliance and ensuring the service functions as intended. 📌

The following solution provides comprehensive logging and monitoring, as well as enhanced security for enterprise deployments of the Azure OpenAI Service API.

Take a look: https://learn.microsoft.com/en-us/azure/architecture/ai-ml/openai/architecture/log-monitor-azure-openai

#openai #azureopenai #monitoring #logging #sentinel #siem #log #loganalytics #azuread #API #AppGateway #azure #architecture #cybersecurity #ai #llm #aisecurity #microsoft #cloud #cloudnative