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Monitor application performance from the Datadog mobile app

When you’re on-call for a critical service and get alerted to an issue that could impact customers, you need quick access to key performance metrics in order to effectively troubleshoot. But all too often, digging into this data requires you to switch from your mobile device to a laptop, restricting your ability to troubleshoot on the go and disrupting your routine.

Monitor Azure Container Apps with Datadog

Azure Container Apps is a serverless platform that enables you to deploy containerized applications and microservices—regardless of their code or framework—without managing any underlying cloud infrastructure or orchestrators. By using serverless containers, Azure Container Apps can automatically scale based on HTTP requests or events supported by Kubernetes event-driven autoscaling (KEDA) in order to accommodate peak demand and meet your budgeting goals.

Run Datadog Synthetic tests in Azure Pipelines

Continuous integration (CI) demands continous testing: shifting left helps prevent faulty code from spreading, which is one of the core aims of CI. Datadog’s new Azure DevOps extension enables you to seamlessly incorporate integration and end-to-end tests into existing CI/CD workflows on Azure Pipelines, a dedicated CI/CD service that automatically runs builds, performs tests, and deploys your services and applications via cloud-hosted pipelines.

Validate your skills with our new Datadog Certification Program

The Datadog platform has evolved to meet the needs of organizations that are investing in cloud-based solutions and modernizations. These organizations need professionals that are highly skilled and understand how to get the most out of the Datadog platform. With our suite of products, features, and tools in mind, we wanted to offer a path for individuals to demonstrate their knowledge of our best-in-class monitoring platform and their understanding of observability best practices.

Optimize your .NET application performance with the Datadog Continuous Profiler

.NET is a framework built by Microsoft that simplifies the complexities of developing cross-platform applications. Using.NET, developers can create powerful applications with rapid response times and more. We’re excited to announce that the Datadog Continuous Profiler now provides general support for.NET applications, including.NET Framework, .NET Core, and.NET 5+.

Track your carbon footprint with Hardware Sentry's offering in the Datadog Marketplace

As we enter a critical period in the effort to mitigate climate change, organizations are facing mounting regulatory pressure—along with a biological imperative—to reduce their carbon footprint. And for those that maintain significant on-prem infrastructure, energy costs associated with operating hardware components can significantly affect their bottom line.

Send Amazon VPC flow logs to Amazon Kinesis Data Firehose and Datadog

Amazon Virtual Private Cloud (Amazon VPC) is an isolated and secure virtual network in which you can deploy resources, such as Amazon Elastic Compute Cloud (EC2) and Amazon Relational Database Service (RDS) instances, while restricting their exposure to the internet. As part of your monitoring strategy, you can collect and analyze VPC flow logs, which record network traffic flow between VPC components.

Monitor user-facing bugs with LambdaTest's subscription in the Datadog Marketplace

As your products and client base scale, maintaining effective test suites and providing rapid response to user-facing issues becomes increasingly challenging. Without thorough testing, bugs are more likely to go undetected, which creates poor user experiences and slower release cycles. LambdaTest is a cloud-based platform that supports real-time and automated testing for over 3,000 browsers, real devices, and operating systems.

Equip any user to monitor Kubernetes with the Overview Page

Many organizations use Kubernetes to orchestrate their containerized applications. But because Kubernetes is complex, application developers may take some time to ramp up on the intricacies of monitoring a Kubernetes environment. This means that teams often need to create internal documentation and offer hands-on training to bridge the knowledge gap.