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.
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.
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.
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.
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.
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.
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.
To enhance and automate your vulnerability analysis, we’re excited to launch the Datadog Vulnerability Analysis GitHub Action. The action enables easy integration between your application, Datadog Continuous Profiler, and Snyk’s vulnerability database to provide actionable security heuristics. The action can be installed directly from the GitHub Marketplace, and does not require you to manage any additional scripts or infrastructure.
With the advanced containerization that has become the norm in the modern cloud, your infrastructure is likely more distributed, and thus more exposed to networking issues, than ever before. When troubleshooting application performance issues, this can make it difficult to link the symptoms you observe through monitoring the “golden signals” (requests, latency, and errors) on individual endpoints in your application to their underlying root causes.
With AWS’s announcement that macOS instances are available on Amazon EC2, iOS, macOS, and Safari developers now have the opportunity to move their build and test pipelines to the cloud and take advantage of all that the AWS ecosystem has to offer.
