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Isolate full-deployment Kafka and ZooKeeper from tenant action pods on 0.9.0

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Evaluación

Dificultad
4/5
Tiempo estimado
3-5 días
Aptitud para principiantes
38/100
Tipo de issue
Nueva funcionalidad
Claridad
Bastante claro
Estado de actividad
Activo
Stack tecnológico
kubernetes, python
Área
infrastructure, security

Línea de trabajo

Start by reading the operator code that applies NetworkPolicies and handles resume and Whisk updates; the payload does not name specific files or tests. Confirm how Kafka and ZooKeeper policies are reconciled, workloads are ordered, and legacy pods are restarted. Done means tenant action pods cannot reach either service while trusted clients, monitoring, and scheduled actions continue to work on a NetworkPolicy-enforcing CNI.

Escrito por el modelo de indexación a partir del texto del issue.

Descripción

Problem

In the 0.9.0 full deployment, ordinary tenant action pods can reach the shared Kafka and ZooKeeper endpoints. These are internal control-plane services and should not be accessible to tenant code. The deployment does not install a network boundary restricting those services to their intended clients.

This is an internal multi-tenant isolation problem. It does not establish an unauthenticated Internet-facing entry point, and slim installations without Kafka/ZooKeeper are outside this issue.

Attacker and risk

Actor / position Preconditions Risk
Anonymous Internet client Only the public HTTP ingress is exposed No direct Kafka/ZooKeeper access demonstrated by these checks
Ordinary tenant/developer Can deploy and invoke an action in their own namespace Reachable unauthenticated shared messaging and coordination endpoints; potential cross-tenant confidentiality, integrity and availability impact
Host or Kubernetes administrator Already controls the cluster Outside the tenant-isolation boundary

Expected behavior

Action pods must be denied access to Kafka and ZooKeeper by Service name, pod DNS name and pod IP. Controller/invoker traffic, broker coordination and monitoring must keep working.

Updating the operator on an existing full installation must install the protection automatically, including closing pre-existing messaging connections.

Proposed change

The accompanying operator PR targets 0.9.0 and adds narrow same-namespace ingress NetworkPolicies for Kafka and ZooKeeper. Trusted client selectors exclude every pod carrying user-action-pod, regardless of its value. Metrics access is limited to the installation's Prometheus pods.

The operator applies policies before workloads, rolls legacy messaging pods once, waits for completion, and reconciles enabled ZooKeeper then Kafka during resume and Whisk updates. Failures propagate; disabled components are skipped.

This requires a CNI that enforces NetworkPolicy. A policy object alone is not proof of isolation. The change preserves component versions, protocols and PVC contents; it does not add Kafka SASL/TLS or ZooKeeper authentication.

Validation

Local synthetic K3s lab:

  • 16/16 tenant connection attempts were reachable in the legacy fixture and denied after automatic operator resume.
  • Legitimate clients, Prometheus, action-labelled spoof checks and foreign-namespace checks passed.
  • Repeating operator resume preserved messaging pod identities.
  • Alpha/Beta application tests: 15/15; Redis Lua: 84/84; Streamer: 24/24.
  • Scheduled actions continued working, and application source remained unchanged.
  • Operator unit suite: 66/66, including 19 focused messaging tests.

The lab exercised operator image replacement/restart and the real Kopf resume handler. The exact ops update operator CLI command was not run with the unpublished local image.

Known limitation

Whisk uninstall still relies on owner garbage collection when the process-local saved component spec is absent. Policy-last teardown is therefore not guaranteed during uninstall. This was identified in the targeted review and accepted by the contributor as a non-blocking limitation of this proposal. It remains disclosed for maintainer assessment.

Lenguaje dominante
Python
Estrellas
577
Forks
29
Merge medio
4 d 23 h
PR fusionados (30 d)
3

Preparar el entorno

Primeros pasos

  1. Lee el issue completo y luego la guía de contribución del proyecto.
  2. Comenta en el issue que vas a ocuparte — evita que dos personas hagan lo mismo.
  3. Haz un fork del repositorio y trabaja en una rama.
  4. Abre un pull request que haga referencia al número del issue.

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