Azure Service Health continuously notifies you of issues that may affect the availability of your environment, such as service incidents, planned maintenance periods, or regional outages. We’ve recently enhanced our Azure integration to include additional support for monitoring Service Health issues, enabling you to keep tabs on the health of your Azure environment and take proactive measures to mitigate downtime.

Having quick access to metrics and health signals from your AWS environment is paramount to identifying issues expediently and monitoring the effects of any deployed fixes. Datadog is proud to partner with AWS for the launch of CloudWatch Metric Streams, a new feature that allows AWS users to forward metrics from key AWS services to different endpoints, including Datadog, via Amazon Kinesis Data Firehose with low latency.

Fastly is an edge cloud platform that includes a content delivery network (CDN), as well as services for image optimization, video streaming, cloud security, and load balancing. These services are supported by a network of caches in different locations, which enables enterprise-scale companies to deliver applications to users as quickly as possible, even in times of peak traffic.

Microsoft 365, formerly known as Office 365, is a suite of cloud-based productivity and communication services that is used by more than one million companies worldwide. The applications included in the suite are critical to the daily workflows of subscribers and therefore require careful monitoring in order to minimize the effects of downtime and ensure optimal usage.

If you are a .NET developer, monitoring runtime metrics can help you troubleshoot bugs and detect resource inefficiencies in your applications. With Datadog, you can easily collect, visualize, and alert on key .NET runtime metrics, including exceptions, garbage collection statistics, thread count, and more. We have fully integrated .NET runtime metrics into Datadog APM so that you can easily view them alongside your distributed traces, logs, and other telemetry.

VoltDB is an ACID-compliant, in-memory relational database designed to support real-time analytics. VoltDB’s in-memory storage, stored procedures, and shared-nothing architecture make it specifically optimized for quickly processing massive streams of data. This means VoltDB is tailored for use cases like online gaming, telecommunication, and financial applications, which require fast data processing.

Last year, we released native tracing for AWS Lambda through Datadog APM to provide deep visibility into serverless functions and surface performance issues such as cold starts and errors, without any added latency. But Lambda functions are only one piece of the puzzle in a rapidly growing serverless ecosystem, which includes message queues, data streams, notification services, and more.

Microsoft Azure provides a suite of cloud computing services that allow organizations across every industry to deploy, manage, and monitor full-scale web applications. As you expand your Azure-based applications, securing the full scope of your cloud resources becomes an increasingly complex task. Azure platform logs record the who, what, when, and where of all user-performed and service account activity within your Azure environment.