Google Cloud Run is a managed platform for the deployment, management, and scaling of workloads using serverless containers. You can deploy workloads in the cloud or, using Cloud Run for Anthos, on your on-prem infrastructure.
Workday is a cloud-native solution for enterprise management. With its multitenant architecture, which supports a wide range of integrations and enables centralized administration of multiple Workday instances (i.e., tenants), Workday provides a unitary framework for managing human resources, financials, payroll, recruiting, analytics, and more. Along with Workday’s cloud-based delivery model, this multifaceted support offers flexibility that can be critical at enterprise scale.
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.
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.
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.
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.
.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+.
Datadog Audit Trail provides administrators and security team members visibility into how different users and teams within their organizations use and interact with various Datadog products and observability data.
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.
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.
