k8spacket doesn't use the gopacket library nowadays and is fully based on now!
Read the article on medium.com k8spacket — a fully based on eBPF right now

It uses

• inet_sock_set_state tracepoint to get information about TCP connections inside the cluster
• traffic control and queueing discipline filters on ingress and egress to collect information about TLS handshake process

To use k8spacket v2.x.x, the minimum required kernel version is 5.4 with enabled BTF.
See e2e tests README

New features:

• Dashboard k8spacket - TLS certificate expiration shows the remaining time until the certificates expire. By variable Past interval to analyze, you can narrow or expand the scope of data to analyze. Data sorted by expiring earliest first. It's easy to build alerts based on the certificate expiration date. See more raw metrics in the dashboard k8spacket - TLS metrics

• Two principal k8spacket dashboards (k8spacket - node graph and k8spacket - TLS connections & certificates) are sensitive to Grafana time range control now. You can show cluster TCP traffic or TLS connections, f.e., for the last 5 minutes

• tls-parser plugin can get information about the server certificate chain (TLS versions less than 1.3)
• dashboard about TLS connections has changed to show server certificate chain details (depends on marcusolsson-json-datasource and marcusolsson-dynamictext-panel Grafana plugins)

• architecture of k8spacket changed to use go plugins (see available plugins here: https://github.com/k8spacket/plugins)
• added the plugin with metrics about the TLS handshake process inside and outside the cluster (TLS version and cipher suite used)
• added a dashboard with TLS metrics

• added a dashboard about TLS connections
  • IP and name of TLS client
  • domain, IP, and port of TLS server
  • supported TLS versions and cipher suites by the client
  • chosen TLS version and cipher suite by the server

k8spacket helps to understand TCP packets traffic in your kubernetes cluster:

• shows traffic between workloads in the cluster
• informs where the traffic is routed outside the cluster
• displays information about closing sockets by connections
• shows how many bytes are sent/received by workloads
• calculates how long the connections are established
• displays the net of connections between workloads in the whole cluster

k8spacket uses Node Graph API Grafana datasource plugin. See details Node Graph API plugin

Install k8spacket using helm chart (https://github.com/k8spacket/k8spacket-helm-chart)

  helm repo add k8spacket https://k8spacket.github.io/k8spacket-helm-chart
  helm repo update
  
  helm install k8spacket --namespace k8spacket k8spacket/k8spacket --create-namespace

Add Node Graph API and JSON API plugins and datasources to your Grafana instance. You can do it manually or change helm values for the Grafana chart, e.g.:

grafana:
  env:
    GF_INSTALL_PLUGINS: hamedkarbasi93-nodegraphapi-datasource,marcusolsson-json-datasource,marcusolsson-dynamictext-panel
  datasources:
    nodegraphapi-plugin-datasource.yaml:
      apiVersion: 1
      datasources:
        - name: "Node Graph API"
          jsonData:
            url: "http://k8spacket.k8spacket.svc.cluster.local:8080/nodegraph"
          access: "proxy"
          basicAuth: false
          isDefault: false
          readOnly: false
          type: "hamedkarbasi93-nodegraphapi-datasource"
          typeLogoUrl: "public/plugins/hamedkarbasi93-nodegraphapi-datasource/img/logo.svg"
          typeName: "node-graph-plugin"
          orgId: 1
          version: 1
    marcusolsson-json-datasource.yaml:
      apiVersion: 1
      datasources:
        - name: "JSON API"
          url: "http://k8spacket.k8spacket.svc.cluster.local:8080/tlsparser/api/data"
          access: "proxy"
          basicAuth: false
          isDefault: false
          readOnly: false
          type: "marcusolsson-json-datasource"
          typeLogoUrl: "public/plugins/marcusolsson-json-datasource/img/logo.svg"
          typeName: "json-api-plugin"
          orgId: 1
          version: 1

Fill additional scrape config to observe Prometheus metrics:

    - job_name: "k8spacket-metrics"
      metrics_path: /metrics
      scrape_interval: 25s
      static_configs:
      - targets: [k8spacket.k8spacket.svc.cluster.local:8080]

Add dashboards configmap to Grafana stack

  kubectl -n $GRAFANA_NS apply --recursive -f ./dashboards

Go to k8spacket - node graph in Grafana Dashboards and use filters as below