netobserv

Network Observability Per Flow DNS tracking

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By: Julien Pinsonneau, Mehul Modi and Mohamed S. Mahmoud

In today’s interconnected digital landscape, Domain Name System (DNS) tracking plays a crucial role in networking and security. DNS resolution is a fundamental process that translates human-readable domain names into IP addresses, enabling communication between devices and servers. It can also be a security vulnerability and a tool for firewalling and blocking access to content, depending on how it is configured and manipulated. For operations excellence, DNS resolution benefits from monitoring and analysis, which can be achieved through innovative technologies like eBPF (extended Berkeley Packet Filter). In this blog post, we’ll delve into the world of DNS tracking using eBPF tracepoint hooks, exploring how this powerful combination can be used for various purposes, including network monitoring and security enhancement.

Understanding DNS Resolution

Before diving into the specifics of eBPF tracepoint hooks, let’s briefly recap how DNS resolution works. In a Kubernetes architecture, DNS plays a critical role in enabling communication between various components and services within the cluster. Kubernetes uses DNS to facilitate service discovery and to resolve domain names to the corresponding IP addresses of pods or services. This process involves multiple steps, including querying DNS servers, caching responses, obtaining the IP address to establish a connection and caching response for future re-occurrence of the same DNS query.

Utilizing Tracepoint Hooks for DNS Tracking

Tracepoint hooks are predefined points in the Linux kernel where eBPF programs can be attached to capture and analyze specific events. For DNS tracking, we leveraged tracepoint hooks associated with DNS resolution processes, specifically the tracepoint/net/net_dev_queue tracepoint. Then we parse the DNS header to determine if it is a query or a response, attempt to correlate the query or response with a specific DNS transaction, and then record the elapsed time to compute DNS latency. Furthermore, DNS network flows are enriched with DNS-related fields (id, latency and response codes) to help build graphs with aggregated DNS statistics and to help filtering on specific fields for display in the Network Observability console.

Potential Use Cases

DNS tracking with eBPF tracepoint hooks can serve various purposes:

How to enable DNS tracking

By default DNS tracking is disabled because it requires privileged access. To enable this feature we need to create a flow collector object with the following fields enabled in eBPF config section as below:

apiVersion: flows.netobserv.io/v1beta1
kind: FlowCollector
metadata:
  name: cluster
spec:
  agent:
    type: EBPF
    ebpf:
      privileged: true
      features:
        - DNSTracking

A quick tour in the UI

Once the DNSTracking feature is enabled, the Console plugin will automatically adapt to provide additional filters and show informations across views.

Open your OCP Console and move to Administrator view -> Observe -> Network Traffic page as usual.

Three new filters, DNS Id, DNS Latency and DNS Response Code will be available in the common section:

dns filters

The first one will allow you to filter on a specific DNS Id (found using dig command or in flow table details) to correlate with your query.

dns id

The second one helps to identify potential performance issues by looking at DNS resolution latency.

dns latency more than

The third filter surfaces DNS response codes, which can help detect errors or unauthorized resolutions.

dns rcode

Overview

New graphs are introduced in the advanced options -> Manage panels popup:

advanced options 1

dns graphs 1 dns graphs 2

Traffic flows

The table view adds the new DNS columns Id, Latency and Response code, which are available from the advanced options -> manage columns popup.

advanced options 2

The DNS flows display this information in both the table and the side panel:

dns table

Future support

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