Operations | Monitoring | ITSM | DevOps | Cloud

End-to-end application monitoring with Datadog

For complete visibility into the performance of your applications, you need telemetry data—traces, metrics, and logs—that describes activity across your entire stack. But if you’re using multiple monitoring tools, your data can end up in silos, making it difficult to troubleshoot issues that affect your user experience.

Unify APM and RUM data for full-stack visibility

Without unified visibility across your entire stack, it can be difficult to investigate backend dependencies when troubleshooting frontend issues, or to track the source of database failures that originate from bad browser requests. Full-stack visibility gives you the insight you need to pinpoint and resolve incidents quickly.

Tell data-driven stories with Collaborative Notebooks

Whether you’re deciding on follow-up items for a postmortem, submitting a request-for-comments for review, or creating an executive report, making sense of all the available data and collaborating with others to tell a clear, data-driven story can be difficult. When there are multiple stakeholders and teams working together, it can be hard to manage the back-and-forth process of feedback and revision to ensure you have up-to-date information.

Monitor your workflows with Datadog SSL, TLS, and Multistep API tests

API tests are key to ensuring your applications receive and respond to requests efficiently. For example, a slow API endpoint or an unexpected timeout in processing a request can significantly affect user experience, so API tests can help you monitor the performance of your endpoints and the overall health of your applications.

Integrate Datadog Compliance Monitoring with your AWS Well-Architected workloads

Many of our customers rely on the Amazon Web Services (AWS) Well-Architected Framework as a guide to build safe, secure, and performant applications in the cloud. AWS offers the Well-Architected Review (WAR) Tool as a centralized way to track and trend adherence to Well-Architected best practices. It allows users to define workloads and answer a set of questions regarding operational excellence, security, reliability, performance efficiency, and cost optimization.

Datadog on Serverless

The Datadog Security Platform team leverages Serverless to ingest security events across many different cloud providers, deployment platforms, and devices. These security events are then transformed and shipped to a data lake to help defend and protect the platform as a whole. Once there, these ingested events are used to drive internal investigations, create internal security alerts, and reason about security incidents.

Monitor Windows hosts with Network Performance Monitoring

If you’re running a mix of Windows– and Linux–based hosts in hybrid or cloud environments, network monitoring is especially important—and especially difficult. As network topologies are becoming increasingly distributed and dynamic, you need a quick way to identify connectivity issues across regions, services, and operating systems.

Accelerate security investigations with Datadog Threat Intelligence

Attackers (i.e., threat actors) often reuse techniques or resources, such as IP addresses, hashes, and domains, in multiple attempts to find and exploit vulnerabilities in your systems. Defenders can categorize this data as indicators of compromise (IOCs) and create collections of IOCs in order to look out for potential attacks. These IOC collections are known as threat intelligence.

Monitor Microsoft Azure Stack HCI with Datadog

Hyperconverged infrastructure (HCI) gives organizations more flexibility and control when building and securing their virtualized on-premises environments. Microsoft’s Azure Stack HCI is an operating system-as-a-service built for HCI backends that lets organizations deploy and manage their virtualized resources alongside any Azure infrastructure they are running.