Azure Monitoring | Datadog

Azure Monitoring

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Thousands of customers love & trust Datadog to monitor their Azure environments

Full observability for your Azure environment

Azure, Microsoft's public cloud computing platform, is used by companies of all sizes to build and release global-scale applications. From start-ups looking to reduce upfront infrastructure cost to enterprises aiming to release products to market faster, Azure offers a wide range of cloud services that help companies meet their business goals. With services for compute, networking, analytics, storage, and more, companies have the ability to deploy distributed, scalable infrastructure. But these services also introduce complexity, as teams monitoring Azure need visibility into every layer of their infrastructure to efficiently diagnose performance issues.

Azure dashboard visualization.

Datadog collects and unifies all of the data streaming from these complex environments, with extensive support for more than 40 Azure services through easy-to-install integrations. Companies can deploy the Datadog Agent directly on their Azure virtual machines to collect metrics with greater granularity—down to one-second resolution. And with Datadog's out-of-the-box integration dashboards, companies not only get a high-level view into the health of their infrastructure and applications but also deeper visibility into individual services, such as Azure Kubernetes Service (AKS), Azure App Services (AAS), Azure VMs, SQL Server, CosmosDB, and more.

Secure your Azure Environment

As applications expand and new features are added, securing the full scope of an Azure environment becomes increasingly complex. Datadog Cloud Security Management seamlessly integrates into an organization's production environment for full-stack threat detection, posture management, workload security, and application security. With Datadog, engineering teams can build, scale, and manage their cloud-based applications with confidence knowing that their Azure environment is fully secured. By leveraging the Datadog agent and the 750+ integrations, Datadog Cloud Security Management combines observability data with a full spectrum of security insights through out-of-the-box threat detection rules that facilitate comprehensive security analysis of malicious patterns across the entire technology stack.

750+ Turn-Key Integrations, Including

Auto-scale with rapidly evolving Azure infrastructure

Ephemeral infrastructure platforms such as AKS, Azure App Services, and Azure Functions can automatically scale to support application traffic, creating new resources to meet demand or downsizing them to remove excess capacity. Legacy monitoring tools are often not able to capture data from these rapidly evolving environments without additional configuration. Datadog integrates with services like Azure Container Instances to collect real-time data for full visibility and automatically scales with the infrastructure by monitoring resources as soon as they spin up. And with native integrations for configuration management tools such as Azure Automation and Chef, organizations can leverage their existing deployment processes to configure Datadog on new application resources instantly.

Easily understand service dependencies across Azure, on-prem, and other clouds

As organizations migrate from on-premise to the Azure cloud, they often rely on multiple monitoring tools for end-to-end visibility. This limits teams’ ability to troubleshoot issues, see across data silos, and implement successful migration projects. Azure monitoring with Datadog unifies observability data from any Azure VM or service, providing comprehensive, cross-platform visibility into critical applications. Teams can visualize dependencies between their on-premise and Azure databases, VMs, containers, and more with Datadog's Service Map, enabling them to easily track the data flowing across service boundaries.

Visualize dependencies between on-premise and cloud databases, VMs, containers with the Service Map.

Track every phase of a migration to Azure

When migrating applications to Azure or other cloud platforms, companies often refactor them to leverage the flexibility and scalability of the cloud. This requires choosing the right services to support an application's architecture in order to decrease friction during the migration. Datadog enables teams to seamlessly track the performance of their services side-by-side throughout the migration process, so they can ensure their expected benchmarks are met. And with over 750 integrations, Datadog can monitor even more of the infrastructure and technologies companies rely on during a migration, including those not deployed on Azure.

IT Infrastructure or SRE teams can use the Host Map to monitor real-time data such as CPU utilization and network throughput for all virtual machines across availability zones to visualize performance before, during, or after a migration.

With machine learning–driven features such as forecasting, teams can address problems with applications before they significantly affect customers. For instance, Operations teams can forecast memory usage on newly migrated VMs and scale their infrastructure resources accordingly.

Datadog provides critical visibility into your environment at each of the phases recommended in the Azure's Cloud Adoption Framework. This includes the creation of an adoption strategy, ensuring your environment is ready to move to the cloud, and safely migrating your workloads. By providing a single source of truth, Datadog helps you better plan and track your migration's progress and identify problems as soon as they occur.

Start monitoring your Azure, hybrid, or multi-cloud infrastructure in minutes

It’s easier than ever to gain full visibility into Azure, hybrid, and multi-cloud environments. Datadog’s unified observability platform gives teams a single source of truth to proactively monitor, detect, investigate, and resolve issues on the Azure cloud. With integrations for Microsoft Teams, PagerDuty, Jira, and more, teams can also easily visualize the connections between their application services, collaborate on real-time data, and troubleshoot issues faster.