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.
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.
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.
The serverless ecosystem has changed dramatically since it first began gaining popularity with developers who want a faster, easier way to deploy their applications. Today, it has matured into a compelling strategy for building modern, enterprise-scale products. But, as more and more organizations adopt rapidly changing technologies, developers are often left with gaps in visibility between key applications.
Kubernetes has become the de facto standard for container orchestration, making it a key piece in the containerization strategy of many users. Amazon EKS Distro (EKS-D) is a Kubernetes distribution from AWS that lets you run on-premise clusters using the same tested Kubernetes versions, security features, and tooling that power Amazon EKS. This means that EKS-D is compatible with the Kubernetes tools and processes you’re already using, making it easy to operate in-house Kubernetes clusters.
Datadog is excited to celebrate our selection as Customers’ Choice for Application Performance Monitoring in Gartner Peer Insights “Voice of the Customer.” Datadog Application Performance Monitoring empowers customers to monitor, troubleshoot, and optimize end-to-end application performance in a single pane of glass.
