![]() ![]() If there are no edges between pods, it could indicate a misconfiguration. Use the Network Map to ensure there's expected traffic between pods. Since you’d expect an ingress controller to be used for traffic between different clusters, intra-cluster ingress traffic indicates misconfiguration which can lead to increased latency. Visualizing traffic with edges can quickly reveal, for example, if Kubernetes pods in the same cluster are communicating through an ingress controller rather than directly to each other. This gives you a real-time view of your network’s topology so you can spot architectural inefficiencies and misconfigurations. ![]() But because containers churn often, tracking communication between them can be difficult.ĭatadog’s Network Map uses directional arrows, or edges, to visualize traffic flows between containers, pods, deployments, or other tagged objects in your environment, regardless of whether their constituent containers change. This means visibility into network communication across your containerized workloads is key to monitoring the health and performance of your applications. ![]() And, because each service may have many dependencies, an isolated problem can have an outsize impact on the rest of your application. Visualize your containerized architecture with the Network MapĬontainerized environments are highly distributed and can quickly grow in size and complexity, making them especially vulnerable to network issues. troubleshoot performance issues in containerized applications.visualize network communication across your dynamic containerized infrastructure.In this post we’ll look at how you can use Datadog NPM to help you: If you’re using a service mesh in your environment, Datadog NPM also enables you to analyze service mesh traffic to help identify traffic management misconfigurations and ensure the services in your mesh communicate efficiently. This makes it easy to monitor network dependencies across all of your containers, services, and deployments so you can spot architectural and performance issues quickly. And containers are highly ephemeral, which makes IP-level connection data unreliable for tracking network traffic between these components, especially in the cloud.ĭatadog Network Performance Monitoring visualizes network traffic between objects within your entire containerized environment. Adding further complexity, you need to ensure that each node in your cluster maintains contact with almost every other node. Containerized environments may comprise vast webs of distributed endpoints and dependencies that rely on complex network communication. But containers also introduce monitoring challenges. Containers are lightweight, portable, easily scalable, and enable you to run multiple workloads on the same host efficiently, particularly when using an orchestration platform like Kubernetes or Amazon ECS. ![]()
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