Whether you’re rushing to troubleshoot an incident or proactively performing a security audit, the trial-and-error process of searching through millions of logs for key information can be time-consuming and cumbersome. To help you quickly surface important details from large swaths of log data, Datadog’s Log Explorer allows you to search and filter your logs, create visualizations, as well as group your logs by fields, patterns, or transactions.

Azure Cosmos DB for PostgreSQL is a fully managed relational database service for PostgreSQL that is powered by the open source Citus extension. With remote query execution and support for JSON-B, geospatial data, rich indexing, and high-performance scale-out, Cosmos DB for PostgreSQL enables users to build applications on single- or multi-node clusters.

OpenTelemetry is an open source, vendor-neutral observability framework that provides tools, APIs, and SDKs to collect and standardize telemetry data from cloud-native applications and services. One of OpenTelemetry’s key components is the OpenTelemetry Collector, which receives and processes data before using exporters to route it to the destinations of your choice.

OpenTelemetry is an open source set of tools and standards that provide visibility into cloud-native applications. OpenTelemetry allows you to collect metrics, traces, and logs from applications written in many languages and export them to a backend of your choice.

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.