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 need visibility into every layer of their infrastructure to efficiently diagnose performance issues.
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) and Azure App Services.
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 400 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.
As organizations migrate from on-premise to hybrid or multi-cloud environments, they often rely on multiple monitoring tools for end-to-end visibility. This creates data silos and limits teams in their ability to troubleshoot issues and successfully migrate their workloads. Datadog unifies observability data from any VM and service, providing comprehensive, cross-platform visibility into critical applications. Teams can visualize the dependencies between their on-premise and cloud databases, VMs, containers, and more with Datadog's Service Map, enabling them to easily track the data flowing across service boundaries.
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.
Teams rely on sharing critical information and context across the organization in order to ensure customer satisfaction and strengthen internal buy-in for adopting Azure services. A single source of truth instills confidence in an organization's ability to rapidly resolve incidents. Datadog offers comprehensive, collaboration-friendly tools that every team within an organization can use to review and share information. With integrations for Microsoft Teams, PagerDuty, Jira, and more, teams can easily visualize the connections between their application services, collaborate on real-time data, and troubleshoot issues faster.