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Run and monitor a performant and reliable Kubernetes environment

Companies that successfully run large distributed systems commonly rely on Kubernetes to automatically manage scaling and application deployments within their containerized environments. Kubernetes makes deployments more agile and can help reduce operating costs, but it also adds layers of complexity. Organizations want to assess the health, performance, security, and resource usage of their Kubernetes infrastructure, from individual pods to multiple clusters. Yet, many teams struggle with managing increasingly complex systems. Ensuring the performance and reliability of such a critical system is crucial, but it can also pose a significant operational burden and increase cloud costs if teams don't have comprehensive visibility into their clusters.

Kubernetes monitoring is crucial for deriving insights, detecting and troubleshooting performance issues, and ensuring the uptime of applications and services at an enterprise scale. Datadog offers complete visibility into the health, performance, and security of any Kubernetes environment. Customizable dashboards help teams visualize and monitor Kubernetes data alongside metrics from Istio, Karpenter, Vault, and 900+ partner-backed integrations. They can also gain actionable insights with machine learning-driven analysis tools like forecasting and anomaly detection. And since Datadog is designed to collect data efficiently from large-scale clusters, teams can easily keep tabs on their Kubernetes environments—whether they're running tens or thousands of nodes—and even extend the Datadog platform to autoscale their Kubernetes environment.

Faster, safer feature releases

As teams focus on building out new features and services, Kubernetes greatly reduces time to market by automating many aspects of the deployment process. But because Kubernetes can launch an application on any host in a cluster, teams need visibility across all of their cloud resources in real-time to ensure their applications are deployed properly. Datadog can automatically detect services running in Kubernetes clusters and monitor them no matter where they spin up. Observability data from Kubernetes components, including logs, traces, metrics, network traffic, and security signals, are automatically correlated within the Kubernetes Overview page. Datadog Watchdog? is integrated across the entire platform and uses machine learning algorithms to automatically root out unusual trends within microservices infrastructure and application metrics. With Datadog, teams can monitor every step of a feature rollout and quickly fix bugs to ensure a seamless customer experience.

Leverage Kubernetes Autoscaling for optimal agility and efficiency

Platform and application teams are jointly responsible for ensuring Kubernetes resources are being utilized optimally. Datadog Kubernetes Autoscaling provides multi-dimensional workload scaling recommendations and automation, enabling teams to deliver cost savings while maintaining performance and stability. Teams are able to view the recommendations for Kubernetes resource optimization, and either apply the platform recommendation from Datadog, or enable continuous autoscaling for one or more workloads. Datadog can also extend Kubernetes to autoscale based on the real-time values of any custom metrics. This allows teams to allocate resources based on historical container metrics and run just enough infrastructure to deliver the best experience for their users at the lowest cost.

Secure your Kubernetes Environment

As applications expand and new features are added, securing the full scope of a Kubernetes environment becomes increasingly complex. Datadog Cloud Security seamlessly integrates into an organization's production environment for full-stack threat detection, Kubernetes security posture management, container image detection, and application security. With Datadog, engineering teams can build, scale, and manage their cloud-based applications with confidence knowing that their Kubernetes environment is fully secured. By leveraging the Datadog agent and our extensive integrations library, Datadog Cloud Security combines observability data with a full spectrum of security insights through out-of-the-box threat detection rules that facilitate comprehensive security analysis of malicious patterns across the entire technology stack.

Run Kubernetes with confidence, on any platform

Kubernetes clusters run on an increasingly diverse range of platforms. Some businesses opt for a fully managed platform, while others self-host on Rancher, OpenShift, or Anthos. Datadog can provide comprehensive visibility into any Kubernetes environment, along with all of the applications running on it. Teams can monitor and visualize data from 900+ integrations—including all major cloud providers—to track Kubernetes health and performance regardless of the underlying platform. Datadog automatically enriches data with tags from cloud providers and labels from Kubernetes itself. Teams can quickly determine where in their Kubernetes clusters a problem exists—and reduce mean time to resolution—by scoping an issue to a specific container image, pod name, or region.