Dash Azure for Fast Data Insights and Reporting

Dash Azure is a powerful tool for gaining fast data insights and reporting. It integrates seamlessly with Microsoft Azure, allowing users to create interactive dashboards in minutes.

With Dash Azure, you can connect to various data sources, including Azure SQL Database, Azure Cosmos DB, and Azure Blob Storage. This makes it an ideal choice for businesses that already use Azure services.

Dash Azure offers a range of features, including real-time data updates, customizable dashboards, and robust security controls. These features enable users to make data-driven decisions quickly and efficiently.

By leveraging Dash Azure, businesses can unlock the full potential of their data and drive growth and innovation.

You can create a new dashboard by signing in to the Azure portal and selecting the Dashboard option from the menu. To create a custom dashboard, select the Custom option and then choose tiles from the Tile Gallery to display different types of information.

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To edit an existing dashboard, you can clone it and use the duplicate copy as a starting point. This way, you can make changes to the dashboard without affecting the original one.

Some tiles might require more configuration to show the information you want. For example, the Metrics chart tile has to be set up to display a metric from Azure Monitor.

You can override dashboard filters for specific tiles by selecting the filter icon in the top-left corner of the tile. This allows you to change the desired filters for that tile, overriding the global filters.

Here are some widgets that support filtering:

You can add widgets to a dashboard to display a chart, information, or set of links. Most widgets are configurable, and you can select the project and team when you configure the widget.

To save your dashboard, select Save in the page header. This will save the dashboard as is, without making any changes to the original.

You can bring all of your insights into a single view by visualizing and monitoring Azure costs, as well as metrics and alerts from VMWare vCenter.

Azure DevOps data can be viewed through the web portal, which provides support for customizable dashboards, query-based charts, and in-context reports.

Dashboards are interactive signboards that provide real-time information and are associated with a team or a project, displaying configurable charts and widgets.

Charts can be derived from a work item query or test results, and are a great way to visualize your data.

Widgets display configurable information and charts on dashboards, and can also be added through Azure DevOps Marketplace.

In-context reports are system-generated charts that support specific services, such as team velocity, sprint burndown, and Cumulative Flow Diagram (CFD).

You can also view a shared Analytics view, edit and delete shared Analytics views, and even create your own custom Kusto queries to monitor your Azure Application Insights environment.

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Here are some of the data views and reports available through the web portal:

Reporting and Monitoring is a crucial aspect of managing your Azure environment. Datadog's unified observability platform provides 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 easily visualize the connections between their application services, collaborate on real-time data, and troubleshoot issues faster. You can also use the Host Map to monitor real-time data such as CPU utilization and network throughput for all virtual machines across availability zones.

Azure provides various reporting tools and services to help you monitor and analyze the usage and performance of your resources, such as Virtual Machines (VMs), services, and overall usage. Some of the key reporting features include:

Having multiple monitoring tools for end-to-end visibility can limit teams' ability to troubleshoot issues and see across data silos.

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.

This enables teams to easily track the data flowing across service boundaries, making it easier to implement successful migration projects.

With Datadog's unified observability platform, teams can gain full visibility into Azure, hybrid, and multi-cloud environments in minutes.

Integrations for Microsoft Teams, PagerDuty, Jira, and more allow teams to collaborate on real-time data and troubleshoot issues faster.

For your interest: Azure Observability

You can start monitoring your Azure, hybrid, or multi-cloud infrastructure in minutes with Datadog's unified observability platform. This platform provides a single source of truth to proactively monitor, detect, investigate, and resolve issues on the Azure cloud.

Datadog offers integrations for Microsoft Teams, PagerDuty, Jira, and more, allowing teams to easily visualize the connections between their application services, collaborate on real-time data, and troubleshoot issues faster.

Check this out: Datadog Azure

With Datadog, you can also track the performance of your services side-by-side throughout the migration process, ensuring your expected benchmarks are met. This is especially useful when migrating applications to Azure or other cloud platforms.

Here are some key features of Datadog's unified observability platform:

Azure Monitor is another comprehensive solution for collecting, analyzing, and acting on telemetry from your cloud and on-premises environments. It helps you understand how your applications are performing and proactively identifies issues affecting them and the resources they depend on.

Securing your Azure environment is crucial as applications expand and new features are added, making it 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.

Datadog 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.

Azure Advisor is a personalized cloud consultant that helps you follow best practices to optimize your Azure deployments.

It analyzes your resource configuration and usage telemetry and then recommends solutions to help improve the cost-effectiveness, performance, high availability, and security of your Azure resources.

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Securing your Azure environment is crucial as your applications expand and new features are added. With Datadog Cloud Security Management, you can seamlessly integrate into your production environment for full-stack threat detection, posture management, workload security, and application security.

Datadog's 800+ integrations combine observability data with security insights through out-of-the-box threat detection rules that facilitate comprehensive security analysis of malicious patterns across the entire technology stack. This means you can build, scale, and manage your cloud-based applications with confidence.

Azure Advisor is a personalized cloud consultant that helps you follow best practices to optimize your Azure deployments. It analyzes your resource configuration and usage telemetry and then recommends solutions to help improve the cost-effectiveness, performance, high availability, and security of your Azure resources.

For your interest: Azure Environment Setup and Adf Setup

Auto-scaling is a game-changer for businesses with rapidly evolving infrastructure. Ephemeral infrastructure platforms like 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 often struggle to capture data from these environments without extra configuration. Datadog, however, integrates with services like Azure Container Instances to collect real-time data and automatically scales with the infrastructure.

Organizations can leverage their existing deployment processes to configure Datadog on new application resources instantly with native integrations for configuration management tools like Azure Automation and Chef.

Consider reading: Azure Application Configuration

When managing large environments, Azure Resource Graph is a game-changer. It lets you explore and query your Azure resources at scale.

Azure Resource Graph is particularly useful for querying across subscriptions and management groups. This makes it easier to manage complex environments.

You can use Azure Resource Graph to query across multiple subscriptions and management groups. This helps you get a unified view of your resources.

With Azure Resource Graph, you can manage large environments with ease. It's a powerful tool that simplifies resource management.

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Migration Tracking is a crucial aspect of a successful Azure migration. Companies often refactor their applications to leverage the flexibility and scalability of the cloud, requiring careful tracking of performance and benchmarks.

Datadog enables teams to seamlessly track the performance of their services side-by-side throughout the migration process, ensuring expected benchmarks are met. This is achieved through over 800 integrations with various infrastructure and technologies.

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. This provides a clear visualization of performance before, during, or after a migration.

Machine learning-driven features like forecasting help teams 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 phase of the Azure's Cloud Adoption Framework. This includes creating an adoption strategy, ensuring your environment is ready to move to the cloud, and safely migrating your workloads.

File Upload and Configuration is a breeze with Dash Azure. You can define your application in one or more manifests, and upload the files using Dashboard.

Kubernetes supports declarative configuration, which stores all configuration in manifests. These manifests use Kubernetes API resource schemas.

You can upload a YAML or JSON file to define your application. This is an alternative to specifying application details in the deploy wizard.

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Now that you've set up your Azure dashboards, it's time to think about sharing them with others.

To share your dashboards, you can use Azure role-based access control. This will allow you to grant specific permissions to users, so they can view and interact with your dashboards without having to give them full access to your Azure account.

You can also programmatically create Azure dashboards, which is useful if you need to set up multiple dashboards quickly. This can be done using Azure's API, which allows you to automate tasks and workflows.

Here are some specific next steps you can take:

The OpenAI Metrics Dashboard is a game-changer for anyone looking to track their AI model's performance. It provides a centralized location to view key metrics such as accuracy, F1 score, and precision.

OpenAI's dashboard allows users to easily compare their model's performance across different environments and configurations. This is particularly useful when testing and iterating on different models.

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One of the most useful features of the OpenAI Metrics Dashboard is its ability to display performance metrics in real-time. This allows users to quickly identify areas where their model needs improvement.

With the OpenAI Metrics Dashboard, users can also set custom alerts to notify them when their model's performance meets certain criteria. This can be a huge time-saver for developers who want to stay on top of their model's performance.

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The Azure dashboard solution is a comprehensive tool that allows you to monitor and manage your Azure resources. You can view all objects in the Resource Graph, including Resource Groups, Subscriptions, and Virtual Machines.

The dashboard solution also includes features like Alerts, Availability, and Availability History, which help you stay on top of your Azure resources' performance. You can monitor metrics like Average CPU Percentage, Available Memory, and Composite Disk Read Bytes/sec.

Azure Monitor Metrics, Cost Management (EA and MCA/MCP), Databases, Log Analytics (KQL), and Storage are also part of the dashboard solution, making it a one-stop-shop for all your Azure monitoring needs.

Here's a breakdown of the different sections within the Azure dashboard solution:

Microsoft has partnered with Datadog to embed their monitoring tool natively in the Azure portal, making it easier to track and analyze your cloud resources.

This partnership brings a range of benefits, including the ability to monitor your .NET web apps with the Datadog extension for Azure App Service.

Datadog can be used to monitor your Azure platform logs, following best practices to ensure you're getting the most out of your data.

Get started with Datadog today and take the first step towards better monitoring and optimization of your Azure resources.