from The Azure Podcast , on 11/18/2018 , played: 246 time(s)
All the co-hosts are in the house for a change, having a fascinating discussion with Péter Bozsó, an Azure AppDev Consultant from Microsoft, Hungary. He gives us all the info on how to start writing Chatbots in Azure including tips and tricks, what not do to etc.
The official MS Bot Framework website: https://dev.botframework.com/
All the open source bot-related MS repositories: https://github.com/Microsoft/botbuilder
Community maintained repos related to the bot framework (stuff is actually getting merged from these into the official repos!): https://github.com/BotBuilderCommunity
Cognitive Services: https://azure.microsoft.com/en-us/services/cognitive-services/
The official bot framework blog: https://blog.botframework.com/ It’s a must have, a lot of best practices and tips and tricks are posted here.
And my personal blog, which is not full of content (yet!), but I am usually posting about Microsoft bots as well since that’s what I am working with every day: https://peterbozso.github.io/
Azure SQL Data Warehouse now enables enhanced insights into analytical workloads by integrating directly with Microsoft Azure Monitor diagnostic logs. With this new capability, developers can analyze workload behavior over an extended time period and make informed decisions on query optimization or capacity management.
Azure Monitor diagnostic logs support customizable retention periods by saving the logs to a storage account for auditing purposes, the capability to stream logs to event hubs for near real-time telemetry insights, and the ability to analyze logs by using Azure Log Analytics with log queries. Diagnostic logs consist of telemetry views of your data warehouse equivalent to the most commonly used performance troubleshooting DMVs for SQL Data Warehouse.
For this initial release, we have enabled views for the following:
AKS now in public preview in China
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With container support, customers can use Azure’s intelligent Cognitive Services capabilities, wherever the data resides. This means customers can perform facial recognition, OCR, or text analytics operations without sending their content to the cloud.
Custom Vision Service support for logo detection