Merge branch 'main' into MTA-testoce

Author: bene2k1

changelog/march2025/2025-03-05-generative-apis-changed-rate-limit-increase.mdx

@@ -0,0 +1,10 @@
+---
+title: Rate limit increase
+status: changed
+date: 2025-03-05
+category: ai-data
+product: generative-apis
+---
+
+All [rate limits](https://www.scaleway.com/en/docs/generative-apis/reference-content/rate-limits/) for Generative APIs have been increased (by a factor of 2).
+

changelog/march2025/2025-03-05-kubernetes-deprecated-deprecation-of-kubernetes-version.mdx

@@ -0,0 +1,12 @@
+---
+title: Deprecation of Kubernetes versions 1.27, 1.28, and 1.29
+status: deprecated
+date: 2025-03-05
+category: containers
+product: kubernetes
+---
+
+This simultaneous deprecation aligns with our updated 14-month support policy introduced with version 1.29, ensuring users leverage actively supported versions with the latest features and security enhancements.
+
+Clusters still running these versions should be upgraded to a supported minor version as soon as possible. For further details, refer to our [version support policy](https://www.scaleway.com/en/docs/kubernetes/reference-content/version-support-policy/).
+

changelog/march2025/2025-03-05-kubernetes-removed-end-of-support-kubernetes-versions-1.mdx

@@ -0,0 +1,12 @@
+---
+title: End of support Kubernetes versions 1.25 and 1.26
+status: removed
+date: 2025-03-05
+category: containers
+product: kubernetes
+---
+
+Clusters using the Kubernetes 1.25 and 1.26 versions will be automatically upgraded to the Kubernetes 1.27 version after March 6th, 2026.
+
+[Find more details in our version support policy.](/kubernetes/reference-content/version-support-policy/)
+

changelog/november2023/2023-11-08-object-storage-added-new-bucket-policy-version-allowing.mdx

@@ -1,5 +1,5 @@
 ---
-title: New bucket policy version allowing to set up granular access to ressources is now in GA!
+title: New bucket policy version allowing to set up granular access to resources is now in GA!
 status: added
 author:
     fullname: 'Join the #object-storage channel on Slack.'

faq/apple-silicon.mdx

@@ -5,7 +5,7 @@ meta:
 content:
   h1: Apple silicon
 dates:
-  validation: 2024-09-02
+  validation: 2025-03-11
 category: bare-metal
 productIcon: AppleSiliconProductIcon
 ---

faq/assets/scaleway-vpc-pn-diag.webp

@@ -3,7 +3,7 @@ meta:
   title: Distributed Data Lab FAQ
   description: Discover Scaleway Distributed Data Lab powered by Apache Spark, and how to use it.
 content:
-  h1: Distributed Data Lab FAQ
+  h1: Distributed Data Lab
 dates:
   validation: 2025-02-18
 category: managed-services

faq/data-lab.mdx

@@ -29,6 +29,12 @@ Note that:
 - Cockpits are isolated by Projects, hence you first need to select the right project in the Scaleway console before accessing Cockpit to see your token consumption for this Project (you can see the `project_id` in the Cockpit URL: `https://{project_id}.dashboard.obs.fr-par.scw.cloud/`.
 - Cockpit graphs can take up to 1 hour to update token consumption, see [Troubleshooting](https://www.scaleway.com/en/docs/generative-apis/troubleshooting/fixing-common-issues/#tokens-consumption-is-not-displayed-in-cockpit-metrics) for further details.
 
+## Can I configure a maximum billing threshold?
+Currently, you cannot configure a specific threshold after which your usage will blocked. However:
+- You can [configure billing alerts](/billing/how-to/use-billing-alerts/) to ensure you are warned when you hit specific budget thresholds.
+- Your total billing remains limited by the amount of tokens you can consume within [rate limits](/generative-apis/reference-content/rate-limits/).
+- If you want to ensure fixed billing, you can use [Managed Inference](https://www.scaleway.com/en/inference/), which provides the same set of OpenAI-compatible APIs and a wider range of models.
+
 ## How can I access and use the Generative APIs?
 Access is open to all Scaleway customers. You can start by using the Generative APIs Playground in the Scaleway console to experiment with different models. For integration into applications, you can use the OpenAI-compatible APIs provided by Scaleway. Detailed instructions are available in our [Quickstart guide](/generative-apis/quickstart/).
 

faq/generative-apis.mdx

@@ -35,6 +35,9 @@ We are currently working on defining our SLAs for Managed Inference. We will pro
 Managed Inference provides dedicated resources, ensuring predictable performance and lower latency compared to Generative APIs, which are a shared, serverless offering optimized for infrequent traffic with moderate peak loads. Managed Inference is ideal for workloads that require consistent response times, high availability, custom hardware configurations or generate extreme peak loads during a narrow period of time.
 Compared to Generative APIs, no usage quota is applied to the number of tokens per second generated, since the output is limited by the GPU Instances size and number of your Managed Inference Deployment.
 
+## How can I monitor performance?
+Managed Inference metrics and logs are available in [Scaleway Cockpit](https://console.scaleway.com/cockpit/overview). You can follow your deployment metrics in realtime, such as tokens throughput, requests latency, GPU power usage and GPU VRAM usage.
+
 ## What types of models can I deploy with Managed Inference?
 You can deploy a variety of models, including:
 * Large language models (LLMs)

faq/managed-inference.mdx

@@ -16,7 +16,9 @@ productIcon: VpcProductIcon
 
 One default VPC (**V**irtual **P**rivate **C**loud) for every available region is automatically created in each Scaleway [Project](/organizations-and-projects/concepts/#project). A VPC offers layer 3 network isolation.
 
-Within each VPC, you can create multiple **Private Networks** and attach Scaleway resources to them, as long as the resources are in an AZ within the network's region. Attached resources can then communicate between themselves in an isolated and secure layer 2 network, away from the public internet. VPC routing facilitates communication between resources on the different Private Networks within the VPC.
+Within each VPC, you can create multiple **Private Networks** and attach Scaleway resources to them, as long as the resources are in an AZ within the network's region. Resources attached to a Private Network can then communicate between themselves in an isolated and secure layer 2 network, away from the public internet. VPC routing facilitates communication between resources on the different Private Networks within the VPC.
+
+<Lightbox src="scaleway-vpc-pn-diag.webp" alt="A diagram shows that several Private Networks exist within a single VPC" size="small"/>
 
 In the future, VPC will allow you to interconnect your VPC with other networks, define access control lists and more.