> For the complete documentation index, see [llms.txt](https://docs.ionos.com/cloud/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.ionos.com/cloud/release-notes/previous-releases/2026/june-2026.md).

# June 2026

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## What's new

### [<mark style="color:blue;">**DBaaS PostgreSQL v2 is now available in the DCD**</mark>](/cloud/databases/postgresql/how-tos/v2.md)

{% hint style="success" %}
**June 26**

You can now create and manage <code class="expression">space.vars.ionos\_cloud</code> **DBaaS PostgreSQL v2** clusters in the Data Center Designer (DCD). The DCD supports the full lifecycle of v2 clusters, including cluster creation, configuration updates, cloning, backup restoration, and [<mark style="color:blue;">metrics monitoring</mark>](/cloud/databases/postgresql/how-tos/v2/view-postgresql-cluster-metrics.md).

As part of this enhancement, new **DBaaS PostgreSQL v1** clusters can no longer be created in the **DCD**. Existing v1 clusters are displayed as **Legacy Clusters** and support only a limited set of operations.
{% endhint %}

### [<mark style="color:blue;">**Nextcloud Workspace User Limits Increased**</mark>](/cloud/sovereign-workplace/nextcloud-workspace/how-tos/increase-user-count.md)

{% hint style="success" %}
**June 19**

Nextcloud Workspace now supports up to 300 user seats per instance, up from 200. You can adjust the seat count at any time through the Data Center Designer (DCD).
{% endhint %}

### [<mark style="color:blue;">**FLUX.2-Klein-4B is now available in IONOS CLOUD AI Model Hub**</mark>](/cloud/ai/ai-model-hub/models/image-generation-models/flux-2-klein-4b.md)

{% hint style="success" %}
**June 17**

[<mark style="color:blue;">FLUX.2-Klein-4B</mark>](/cloud/ai/ai-model-hub/models/image-generation-models/flux-2-klein-4b.md) is a compact 4B-parameter text-to-image model by Black Forest Labs, now available in the <code class="expression">space.vars.ionos\_cloud\_ai\_model\_hub</code>. Building on the FLUX architecture, the klein variant is optimised for speed and resource efficiency while maintaining strong visual fidelity. It supports both image generation (`/v1/images/generations`) and image editing (`/v1/images/edits`).
{% endhint %}

### [<mark style="color:blue;">**Monitoring Service is now available in the DCD**</mark>](/cloud/observability/monitoring-service/dcd-how-tos.md)

{% hint style="success" %}
**June 16**

You can create monitoring pipeline instances in the available locations to gather metrics from multiple sources. You may also programmatically manage your monitoring pipelines through the [<mark style="color:blue;">API</mark>](/cloud/observability/monitoring-service/api-how-tos.md).
{% endhint %}

### [<mark style="color:blue;">**Activate Central Monitoring through the DCD**</mark>](/cloud/observability/monitoring-service/dcd-how-tos/central-monitoring.md)

{% hint style="success" %}
**June 16**

You can now activate Central Monitoring on your contract directly through the DCD. Previously, this was only possible through the Monitoring API. Central Monitoring is a Monitoring Service capability that integrates with <code class="expression">space.vars.ionos\_cloud</code> products to surface metrics directly within Grafana. For more information, see [<mark style="color:blue;">activating Central Monitoring through the DCD</mark>](/cloud/observability/monitoring-service/dcd-how-tos/central-monitoring.md) or the [<mark style="color:blue;">Monitoring API</mark>](/cloud/observability/monitoring-service/api-how-tos.md).
{% endhint %}

### [<mark style="color:blue;">**IONOS CLOUD MCP Server in General Availability**</mark>](/cloud/ai/mcp-server.md)

{% hint style="success" %}
**June 9**

The <code class="expression">space.vars.ionos\_cloud</code> MCP Server is now generally available (GA). It lets AI assistants and autonomous AI agents connect to your <code class="expression">space.vars.ionos\_cloud</code> account using the [<mark style="color:blue;">Model Context Protocol</mark>](https://modelcontextprotocol.io/) (MCP), an open standard for connecting AI clients to external tools. It provides read-only access to tools across Compute Engine, <code class="expression">space.vars.ionos\_cloud\_object\_storage</code>, Cloud DNS, Certificate Manager, Billing, and Activity Log. The server runs locally on your machine and is compatible with Claude Desktop, Cursor, VS Code (GitHub Copilot), and any MCP-compatible client. The server is also discoverable on the [<mark style="color:blue;">Official MCP Registry</mark>](https://registry.modelcontextprotocol.io/?q=ionos), [<mark style="color:blue;">mcp.so</mark>](https://mcp.so/server/ionos-cloud-mcp-server/ionos-cloud), and the [<mark style="color:blue;">Cursor Directory</mark>](https://cursor.directory/plugins/ionoscloud-mcp).
{% endhint %}

### [<mark style="color:blue;">**DBaaS In-Memory DB v2 API in General Availability**</mark>](https://api.ionos.com/docs/in-memory-db/v2/)

{% hint style="success" %}
**June 8**

The <code class="expression">space.vars.ionos\_cloud</code> **DBaaS In-Memory DB v2 API** is now in General Availability (GA). The v2 API is available across all nine <code class="expression">space.vars.ionos\_cloud</code> regions: Berlin, Frankfurt, Paris, Logroño, London, Worcester, Las Vegas, Lenexa, and Newark.

Any <code class="expression">space.vars.ionos\_cloud</code> contract can provision In-Memory DB v2 clusters without prior activation. The v2 API introduces a redesigned resource model, renaming the primary resource from `ReplicaSet` to `Cluster`, and adds dedicated `Versions` and `SnapshotLocations` endpoints, inline snapshot restore through `restoreFromSnapshot`, configurable snapshot retention and scheduling, SHA-256 prehashed password credentials, and observability controls (`logsEnabled`, `metricsEnabled`). For detailed operational scenarios and examples, see [<mark style="color:blue;">In-Memory DB v2 API Workflows</mark>](https://api.ionos.com/docs/in-memory-db/v2/#tag/In-Memory-DB-v2-API-Workflows).

{% hint style="info" %}
**Important:** The [<mark style="color:blue;">In-Memory DB v1 API</mark>](/cloud/databases/in-memory-db/api/v1-api.md) will be deprecated in an upcoming release. You must migrate existing v1 clusters to v2 as soon as the DCD supports In-Memory DB v2 cluster creation. Migration guidance will be provided at that time. We recommend creating new clusters using In-Memory DB v2 [<mark style="color:blue;">endpoints</mark>](https://api.ionos.com/docs/in-memory-db/v2/#tag/Overview/Endpoints) to leverage the new capabilities.
{% endhint %}
{% endhint %}

## Documentation updates

### [<mark style="color:blue;">**Deactivate Virtualization-Based Security (VBS) and Hypervisor-Enforced Code Integrity (HVCI) on Windows Server 2025**</mark>](/cloud/backup-and-storage/images-snapshots/public-images/deactivate-vbs-hvci-microsoft-windows-server-2025.md)

{% hint style="success" %}
**June 29**

A new how-to guide covers how to deactivate VBS and HVCI on Windows Server 2025 to resolve performance degradation on KVM-based hypervisors. The guide includes step-by-step instructions using Group Policy, Registry, and startup configuration, plus an optional full VM restart via <code class="expression">space.vars.ionos\_cloud</code> and verification steps.
{% endhint %}

### [<mark style="color:blue;">**Image Editing with IONOS CLOUD AI Model Hub**</mark>](/cloud/ai/ai-model-hub/how-tos/image-edits.md)

{% hint style="success" %}
**June 17**

A new how-to guide is now available for [<mark style="color:blue;">Image Editing with IONOS CLOUD AI Model Hub</mark>](/cloud/ai/ai-model-hub/how-tos/image-edits.md). The guide covers how to modify existing images by supplying an input image and a descriptive prompt through the OpenAI-compatible `/v1/images/edits` endpoint, using [<mark style="color:blue;">FLUX.2-klein-4B</mark>](/cloud/ai/ai-model-hub/models/image-generation-models/flux-2-klein-4b.md) as the editing model.
{% endhint %}

### [<mark style="color:blue;">**AI Model Hub: Guide to retain Document Collections data in a self-managed vector store**</mark>](/cloud/ai/ai-model-hub/how-tos/document-collections/migrate-from-document-collections.md)

{% hint style="success" %}
**June 16**

The Document Collections feature will be decommissioned on August 31, 2026. A [<mark style="color:blue;">guide to retain Document Collections data</mark>](/cloud/ai/ai-model-hub/how-tos/document-collections/migrate-from-document-collections.md) is available for users who want to preserve their existing data before that date. The guide covers exporting collections through the Document Collections API, provisioning <code class="expression">space.vars.ionos\_cloud</code> PostgreSQL with pgvector, re-embedding documents using free migration model aliases, and updating applications to query the new vector store. Users who prefer to start fresh can follow the [<mark style="color:blue;">Retrieval Augmented Generation</mark>](/cloud/ai/ai-model-hub/how-tos/retrieval-augmented-generation.md) guide instead.
{% endhint %}

### [<mark style="color:blue;">**LightOnOCR-2-1B: Corrected Input Format Documentation**</mark>](/cloud/ai/ai-model-hub/models/ocr-models/lightonocr-2-1b.md)

{% hint style="success" %}
**June 10**

The documentation for [<mark style="color:blue;">LightOnOCR-2-1B</mark>](/cloud/ai/ai-model-hub/models/ocr-models/lightonocr-2-1b.md) has been corrected. The model accepts image input only and does not process PDF files directly. If you want to extract text from PDF documents, you must first convert each page to an image before sending your API request. For more information, see [<mark style="color:blue;">Extract Text from PDF Documents</mark>](/cloud/ai/ai-model-hub/how-tos/pdf-to-text.md).
{% endhint %}

### [<mark style="color:blue;">**Monitor PostgreSQL v2 Clusters using Grafana**</mark>](https://docs.ionos.com/cloud/tutorials/databases/postgresql/monitor-postgresql-databases)

{% hint style="success" %}
**June 9**

A new tutorial on how to set up end-to-end observability for <code class="expression">space.vars.ionos\_cloud</code> PostgreSQL v2 clusters with Grafana is available. The tutorial covers Logging and Monitoring Service activation, dashboard creation using curated CPU, memory, disk, and network metrics, recommended alert thresholds with `PromQL` examples, and troubleshooting common configuration issues.
{% endhint %}

### [<mark style="color:blue;">**Run a security posture audit on your IONOS CLOUD Object Storage buckets**</mark>](https://docs.ionos.com/cloud/tutorials/ai/mcp-server/object-storage-security-audit)

{% hint style="success" %}
**June 9**

A new tutorial shows how to use the <code class="expression">space.vars.ionos\_cloud</code> MCP Server and Claude Desktop to audit all your Object Storage buckets in a single conversation. The tutorial covers MCP Server configuration, connection verification, running six security probes per bucket, and generating a CISO-ready HTML posture dashboard, without writing scripts, or opening the DCD.
{% endhint %}

### [<mark style="color:blue;">**Generate a FOCUS-compliant cost report with the IONOS CLOUD MCP Server**</mark>](https://docs.ionos.com/cloud/tutorials/ai/mcp-server/focus-billing-finops)

{% hint style="success" %}
**June 9**

A new tutorial is now available that demonstrates how to use the <code class="expression">space.vars.ionos\_cloud</code> MCP Server and Claude Desktop to map billing data to the FOCUS v1.3 standard schema and generate FinOps-ready cost attribution reports. The tutorial covers MCP Server configuration, loading the FOCUS schema, retrieving usage data, enriching records with prorated cost estimates, and exporting a FOCUS-compliant CSV for cost management tools, including FinOps tooling.
{% endhint %}

### [<mark style="color:blue;">**Route Activity Log API events to Logging Service with Fluent Bit**</mark>](https://docs.ionos.com/cloud/tutorials/observability/logging-service/route-activity-logs-to-logging-service)

{% hint style="success" %}
**June 1**

You can now follow the latest tutorial to stream <code class="expression">space.vars.ionos\_cloud</code> Activity Log API events to the Logging Service using Fluent Bit. The tutorial covers pipeline setup, Python fetcher configuration, Fluent Bit configuration, and data visualization in Grafana using LogQL.
{% endhint %}


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