Monitor Microsoft Fabric With Datadog

Investigate the Health of Synapse Assets

Monitor connection volume metrics in conjunction with timeouts, data warehouse unit (DWU) usage and CPU and memory utilization metrics to determine the scale of your SQL pools and whether or not you need to add more storage
Seamlessly measure the input and output of events from SQL Streaming, alongside the DWU utilization of your streams; Identify spikes in deserialization, runtime, and conversion errors

Get in-depth insights into the health, activity and performance of SQL Pools, Big Data Pools, Synapse Workspaces, and SQL streaming
Track the count of successful and blocked connections to identify where traffic is abnormally high and when you need to revisit your pools’ access control policies with the SQL Pools widgets

Easily identify bottlenecks, errors, heavy traffic issues, slow-running queries, and more with end-to-end application tracing, latency breakdowns, continuous profiling, and real user monitoring
Automatically collect, monitor, and visualize high-granularity data and custom metrics in real time, including availability, response times, reliability, error rates, and throughput
Get deeper visibility into your Azure ecosystem with more than 40 Datadog-generated metrics for Azure in addition to the metrics collected from Azure Monitor

Simply configure the setup process by enabling single sign-on with Azure Active Directory when you create a new Datadog account
Easily install the Datadog Agent on multiple Azure hosts at once
Automatically start sending Azure platform logs and metrics to Datadog within minutes of signing up

Simplify migrations to Azure by monitoring services side-by-side; ensure benchmarks are met
Visualize performance data for legacy and cloud-based systems before, during, and after a migration on Datadog's host map
Pivot from a high-level overview of your infrastructure and applications to the health of individual Azure services in seconds
Automatically visualize your application architecture with Datadog’s Service Map, so that you can immediately identify service dependencies