Categories: FAANG

Kubernetes version 1.27 now available in IBM Cloud Kubernetes Service

We are excited to announce the availability of Kubernetes version 1.27 for your clusters that are running in IBM Cloud Kubernetes Service. This is our 22nd release of Kubernetes. With our Kubernetes service, you can easily upgrade your clusters without the need for deep Kubernetes knowledge. When you deploy new clusters, the default Kubernetes version remains 1.25 (soon to be 1.26); you can also choose to immediately deploy version 1.27. Learn more about deploying clusters here.

Kubernetes version 1.27

In addition to all the great Kubernetes features provided in this release, IBM Cloud Kubernetes Service version 1.27 also includes numerous component updates. See the IBM Cloud Kubernetes Service version 1.27 changelog for details.

Kubernetes support and updates

IBM Cloud Kubernetes Service now supports the latest versions of Kubernetes: 1.24, 1.25, 1.26 and 1.27. Clusters that are running Kubernetes version 1.23 or earlier are unsupported. Clusters running version 1.24 are now deprecated with end of support tentatively scheduled for September 6, 2023. It is important to note that clusters that run a deprecated or unsupported Kubernetes version may not receive fixes for security vulnerabilities until they are updated to a supported version. Review the potential impact of each Kubernetes version update, and update your clusters today.

For general questions, engage our team via Slack by registering here and join the discussion in the #general channel on our public IBM Cloud Kubernetes Service Slack.

Learn more about IBM Cloud Kubernetes Service

The post Kubernetes version 1.27 now available in IBM Cloud Kubernetes Service appeared first on IBM Blog.

AI Generated Robotic Content

Recent Posts

Some recent Chroma renders

Model: https://huggingface.co/silveroxides/Chroma-GGUF/blob/main/chroma-unlocked-v38-detail-calibrated/chroma-unlocked-v38-detail-calibrated-Q8_0.gguf Workflow: https://huggingface.co/lodestones/Chroma/resolve/main/simple_workflow.json Prompts used: High detail photo showing an abandoned Renaissance painter’s studio…

5 hours ago

A Gentle Introduction to Multi-Head Latent Attention (MLA)

This post is divided into three parts; they are: • Low-Rank Approximation of Matrices •…

5 hours ago

Converting Pandas DataFrames to PyTorch DataLoaders for Custom Deep Learning Model Training

Pandas DataFrames are powerful and versatile data manipulation and analysis tools.

5 hours ago

Securing America’s Defense Industrial Base

Palantir FedStart and the Path to CMMC ComplianceSecuring the Defense Industrial BaseNever has the imperative…

5 hours ago

No-code data preparation for time series forecasting using Amazon SageMaker Canvas

Time series forecasting helps businesses predict future trends based on historical data patterns, whether it’s…

5 hours ago

Beyond static AI: MIT’s new framework lets models teach themselves

MIT researchers developed SEAL, a framework that lets language models continuously learn new knowledge and…

6 hours ago