sttlab
270 lines
7.6 KiB
Markdown
270 lines
7.6 KiB
Markdown
# Kafka on Kubernetes (Strimzi)
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Single-broker Kafka cluster for dev/test, deployed via the [Strimzi](https://strimzi.io/) operator on a single-node k3s cluster.
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---
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## Architecture
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```
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kafka namespace
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├── strimzi-cluster-operator Strimzi operator — reconciles Kafka/KafkaUser/KafkaTopic CRs
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├── kafka-dual-role-0 Kafka 4.1.0 broker (KRaft, controller + broker in one pod)
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└── kafka-entity-operator Topic Operator + User Operator (manages topics and users)
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```
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### Key design decisions
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| Choice | Rationale |
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|---|---|
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| **KRaft mode** | No ZooKeeper dependency — simpler, fewer pods |
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| **Single node pool** `dual-role` | One pod acts as both controller and broker, suitable for dev/test |
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| **SASL_SSL + SCRAM-SHA-512** | Authenticated and encrypted connections; TLS managed by Strimzi CA |
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| **Simple authorization** | ACLs enforced per user; `kafka-admin` is declared super user |
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| **`local-path` storage (10 Gi)** | Default k3s storage class; PVC deleted on cluster teardown |
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### Listeners
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| Name | Port | Protocol | Auth |
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|---|---|---|---|
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| `tls` | 9093 | SASL_SSL | SCRAM-SHA-512 |
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Bootstrap address (cluster-internal):
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```
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kafka-kafka-bootstrap.kafka.svc.cluster.local:9093
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```
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### Users
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| KafkaUser | Secret | Role |
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|---|---|---|
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| `kafka-admin` | `kafka-admin` | Super user — unrestricted access |
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| `kafka-client` | `kafka-client` | Application user — Read/Write all topics and groups |
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Strimzi stores credentials in Kubernetes secrets. Each secret contains two keys:
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- `password` — the SCRAM password
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- `sasl.jaas.config` — the ready-to-use JAAS config string
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### TLS
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Strimzi generates and manages its own internal CA. The cluster CA certificate is stored in:
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```
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secret/kafka-cluster-ca-cert (key: ca.crt)
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```
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This certificate must be trusted by any Kafka client connecting over TLS.
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---
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## Prerequisites
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- `kubectl` configured against the target cluster
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- `helm` v3
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- `make`
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- `cert-manager` is **not** required — Strimzi manages its own CA
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---
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## Makefile
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All operations are available via `make`. Run `make help` for the full reference.
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```
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Cluster lifecycle:
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deploy Install Strimzi operator + Kafka cluster + users
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smoke-test Run produce/consume end-to-end test
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upgrade Upgrade Kafka (KAFKA_VER=) or Strimzi operator
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teardown Delete the Kafka cluster and namespace
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Topics:
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topic-list List all topics
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topic-create Create TOPIC (idempotent)
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topic-delete Delete TOPIC
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Messages:
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produce Produce MESSAGE into TOPIC
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consume Consume MAX messages from TOPIC (from latest)
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list-messages Consume MAX messages from TOPIC (from beginning)
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Consumer groups:
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group-list List all consumer groups
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group-offsets Show offsets and lag for GROUP
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```
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Key variables (all overridable on the command line):
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| Variable | Default | Description |
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|---|---|---|
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| `TOPIC` | `smoke-test` | Topic name |
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| `MESSAGE` | `hello` | Message to produce |
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| `GROUP` | `my-group` | Consumer group |
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| `MAX` | `10` | Max messages to consume |
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| `PARTITIONS` | `1` | Partitions for topic-create |
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| `REPLICAS` | `1` | Replication factor for topic-create |
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| `KAFKA_VER` | `4.1.0` | Kafka version for upgrade |
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| `METADATA_VER` | `4.1-IV0` | KRaft metadata version for upgrade |
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---
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## Installation
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```bash
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make deploy
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```
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The target performs the following steps:
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1. Creates the `kafka` namespace
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2. Installs the Strimzi operator via Helm (scoped to the `kafka` namespace)
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3. Waits for the Strimzi CRDs to be fully established
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4. Applies `kafka.yaml` (KafkaNodePool + Kafka CRs) and waits for `Ready`
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5. Applies `kafka-users.yaml` (KafkaUser CRs) and waits for `Ready`
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Expected duration: **4–6 minutes** on a single-node k3s cluster.
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### Verify the installation
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```bash
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kubectl get kafka,kafkanodepool,kafkauser,pods -n kafka
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```
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Expected output:
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```
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NAME READY KAFKA VERSION METADATA VERSION
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kafka.kafka.strimzi.io/kafka True 4.1.0 4.1-IV0
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NAME DESIRED REPLICAS ROLES NODEIDS
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kafkanodepool.kafka.strimzi.io/dual-role 1 ["controller","broker"] [0]
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NAME CLUSTER AUTHENTICATION AUTHORIZATION READY
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kafkauser.kafka.strimzi.io/kafka-admin kafka scram-sha-512 True
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kafkauser.kafka.strimzi.io/kafka-client kafka scram-sha-512 simple True
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```
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---
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## Client configuration
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### Get the CA certificate
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```bash
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kubectl -n kafka get secret kafka-cluster-ca-cert \
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-o jsonpath='{.data.ca\.crt}' | base64 -d > kafka-ca.crt
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```
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### Get user credentials
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```bash
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# Admin password
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kubectl -n kafka get secret kafka-admin \
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-o jsonpath='{.data.password}' | base64 -d
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# Client password
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kubectl -n kafka get secret kafka-client \
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-o jsonpath='{.data.password}' | base64 -d
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# Ready-to-use JAAS config (includes username and password)
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kubectl -n kafka get secret kafka-client \
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-o jsonpath='{.data.sasl\.jaas\.config}' | base64 -d
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```
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### Sample `client.properties`
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```properties
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bootstrap.servers=kafka-kafka-bootstrap.kafka.svc.cluster.local:9093
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security.protocol=SASL_SSL
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ssl.truststore.type=PEM
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ssl.truststore.location=/path/to/kafka-ca.crt
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sasl.mechanism=SCRAM-SHA-512
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sasl.jaas.config=org.apache.kafka.common.security.scram.ScramLoginModule required \
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username="kafka-client" password="<password>";
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```
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---
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## Testing
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```bash
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make smoke-test
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```
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Runs a Kubernetes Job that validates the full produce/consume cycle over SASL_SSL:
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1. **Topic creation** — creates topic `smoke-test` with `--if-not-exists` (idempotent)
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2. **Produce** — sends 5 messages (`message-1` … `message-5`) via `kafka-console-producer`
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3. **Consume** — reads 5 messages from the beginning via `kafka-console-consumer` and asserts count
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Expected output:
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```
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==> [1/3] Creating topic 'smoke-test' (idempotent)
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Topic ready.
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==> [2/3] Producing 5 messages
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5 messages produced.
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==> [3/3] Consuming (from-beginning, max 5)
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message-1
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message-2
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message-3
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message-4
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message-5
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==> SMOKE TEST PASSED (5/5 messages)
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==> Smoke test PASSED
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```
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The job is cleaned up automatically after 1 minute (`ttlSecondsAfterFinished: 60`).
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---
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## Adding a new user
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Create a new `KafkaUser` manifest following the `kafka-client` pattern in `kafka-users.yaml`, then apply it:
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```bash
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kubectl apply -f kafka-users.yaml
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```
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Strimzi will create the corresponding secret in the `kafka` namespace within seconds.
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---
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## Upgrade
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> **Rule:** always upgrade the Strimzi operator before upgrading the Kafka version.
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> Check the [Strimzi upgrade guide](https://strimzi.io/docs/operators/latest/deploying.html#assembly-upgrade-str) for supported upgrade paths.
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### Upgrade Kafka version
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`KAFKA_VER` and `METADATA_VER` are independent because Strimzi recommends upgrading
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the broker binary first, then migrating the metadata format — this allows rollback of
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the binary without being blocked by an already-migrated metadata version.
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```bash
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# Step 1: upgrade broker binary only
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make upgrade KAFKA_VER=4.1.1 METADATA_VER=4.1-IV0
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# Step 2: once confirmed stable, migrate metadata format
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make upgrade KAFKA_VER=4.1.1 METADATA_VER=4.1-IV1
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```
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### Upgrade the Strimzi operator
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```bash
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make upgrade
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```
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Running `upgrade` without overriding `KAFKA_VER` upgrades only the Strimzi operator
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via `helm upgrade` and leaves the Kafka CR unchanged.
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---
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## Uninstallation
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```bash
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make teardown
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```
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Deletes in order: KafkaUsers → Kafka cluster → Strimzi operator → namespace.
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> The `deleteClaim: true` flag in `kafka.yaml` ensures the 10 Gi PVC is deleted
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> together with the KafkaNodePool, leaving no orphaned volumes.
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