> For the complete documentation index, see [llms.txt](https://docs.lenses.io/latest/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.lenses.io/latest/k2k/deployment/releases-and-compatibility.md).

# Releases and compatibility

K2K version matrix, supported platforms, and upgrade guidance.

## Current versions

| Component     | Version | Image / chart         |
| ------------- | ------- | --------------------- |
| K2K container | 2.1.0   | `lensesio/k2k:2.1.0`  |
| Helm chart    | 2.1.0   | `lensesio/lenses-k2k` |

Pin the container image tag and Helm chart version together. The chart version should match the application version you intend to run. When installing from the Helm repository, always pass `--version`:

```bash
helm install lenses-k2k lensesio/lenses-k2k \
  --values values.yaml \
  --create-namespace --namespace lenses-k2k \
  --version 2.1.0
```

See [Helm](/latest/k2k/deployment/helm.md) for full install instructions and [Docker](/latest/k2k/deployment/docker.md) for container deployment.

## Kafka compatibility

K2K connects to any Kafka API compatible cluster. It uses standard Kafka clients (consumer, producer, admin) and does not require clusters to run the same vendor or version.

| Capability            | Requirement                                                                               |
| --------------------- | ----------------------------------------------------------------------------------------- |
| Basic replication     | Kafka 2.x or later (or compatible managed offering)                                       |
| Exactly once delivery | Target cluster must support idempotent producers and transactions                         |
| Offset mapping        | Admin API access to list consumer groups and read committed offsets on the source cluster |
| Topic auto-creation   | Admin API access on the target cluster                                                    |

Test connectivity with [Startup validation](/latest/k2k/configuration-reference/startup-validation.md) before enabling advanced features.

## Schema Registry compatibility

K2K supports Confluent-compatible Schema Registry endpoints for [schema migration](/latest/k2k/configuration-reference/schema-migration.md). Source and target registries can run different versions as long as both expose a compatible REST API.

## Upgrade path

1. Review release notes for the target version (GitHub: [k2k-helm-charts](https://github.com/lensesio/k2k-helm-charts)).
2. Validate the updated pipeline with `k2k dry-run` — see [Deployment](/latest/k2k/deployment.md).
3. Upgrade the replicator first, then the offset mapper if deployed.
4. For Helm deployments, update `--version` and apply the chart. Rolling updates are supported for horizontally scaled deployments — see [Horizontal scaling](/latest/k2k/configuration-reference/horizontal-scaling.md).

{% hint style="warning" %}
Do not downgrade K2K while control topics contain state written by a newer version. If a rollback is required, restore from a backup or recreate control topics after stopping all K2K instances.
{% endhint %}

## Versioned documentation

Release branches in the documentation repository (for example `release/2.1.0`) may correspond to product versions. Check your GitBook space for a version switcher if you need docs for an older release.


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation by asking a question.

Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters:

```
GET https://docs.lenses.io/latest/k2k/deployment/releases-and-compatibility.md?ask=<question>&goal=<user_goal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case.

The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
