A common request from cloud & infra operations teams is a centralized place to monitor the environments availability. Lifecycle Services portal already provide a fair amount of metrics... but it's not that straight forward to get what we want and it's a different portal. It's not possible to integrate with Log Analytics and Azure Monitor … Continue reading Dynamics 365 availability monitoring with App Insights
Category: Azure
Dynamics 365 FinOps: OData load testing
We all know... it's rarely a good idea to allow direct calls from the front-end system (e.g. an e-commerce website) to the back-end (ERP). But in some situations we have to expose the OData endpoints for either internal or external consumers. Like when you integrate the ERP with a warehouse management system, where the communication … Continue reading Dynamics 365 FinOps: OData load testing
Dynamics 365 FinOps: Batch import automation with Azure Functions, Business Events and PowerBI
Design automation for real-time/synchronous interfaces in Dynamics 365 for Finance has its challenges but it’s quite often less complex than do the same for batch/asynchronous interfaces, for a couple reasons. On batch interfaces we need to manipulate files across servers, be aware of network traffic, quotas, operation timeouts, storage limits and costs, and so on. … Continue reading Dynamics 365 FinOps: Batch import automation with Azure Functions, Business Events and PowerBI
Azure Functions: event-driven integration with Dynamics 365 for Finance and Operations
Business events for Dynamics 365 Finance comes with a couple of out-of-the-box endpoints that enables a seamless integration with most Azure tools available for event-based integration scenarios: Event Grid, Event Hub, Service Bus Queue and Topics, Power Automate and Blob Storage. For anything else not listed, like any web API or web application hosted on-premises … Continue reading Azure Functions: event-driven integration with Dynamics 365 for Finance and Operations
Part 4: Using PowerBI for real-time data analysis
The last and perhaps the most important part of a data analyses is to built a good visualization on the output, transforming the data acquired, cleansed and processed into rich reports, bringing valueable information for the business. Decision can be more precise, accurate and less risk if we have the right data in the right … Continue reading Part 4: Using PowerBI for real-time data analysis
Part 3: Using Machine Learning to calculate chance of precipitation and saving the output
Stream Analytics is used to examine high volumes of data streaming from devices or processes, extract information from that data stream, identify patterns, trends, and relationships. Those patterns can trigger other processes or actions, like alerts, automation workflows, feed information to a reporting tool, or store it for later investigation (check Stream Analytics Introduction article for more … Continue reading Part 3: Using Machine Learning to calculate chance of precipitation and saving the output
Part 2: Creating an alert using Service Bus and Logic Apps
IoT Hub offers device-to-cloud message routing to specific services endpoints, based on rules created using message properties values as filters without requiring any additional code. If a single message matches the condition of multiple rules, it will be delivered to each endpoint associated with the routes. However, there's a protection against duplicated messages - if … Continue reading Part 2: Creating an alert using Service Bus and Logic Apps
Part 1: Connecting your device to IoT Hub and viewing real-time data
Azure IoT Hub is the core Azure PaaS that enables reliable and secure bidirectional communications between IoT devices and a cloud solution. It helps to meet IoT implementation challenges such as: High-volume device connectivity and management; High-volume telemetry ingestion; Command and control of devices; Device security enforcement. Before start, download and upgrade your device’s firmware. … Continue reading Part 1: Connecting your device to IoT Hub and viewing real-time data
Playing IoT on Azure
As a professional who has worked for the past years on ERP projects, dive into IoT, machine learning and big data is a mix of challenge and excitement. There are many possibilities to create seamless solutions for common business problems but sometimes is quite overwhelming understand the available tools, what they can offer and how … Continue reading Playing IoT on Azure
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