Cloud Native Weekly:Kubernetes v1.33 Official Release

Open Source project recommendations

Robusta

Robusta is an open-source K8s observability and automation platform designed to enhance the intelligent processing of Prometheus alerts. It enriches alerts through rules and AI techniques, automatically attaching relevant Pod logs, charts, and potential remediation suggestions. It supports smart grouping, auto-remediation, and advanced routing, and offers a free-to-use web UI that supports multi-cluster management, alert timelines, and change tracking features.

Cupdate

Cupdate helps users automatically identify and track the latest versions of container images used in K8s clusters or Docker hosts. The tool requires no configuration and provides an intuitive web interface, API, and RSS subscription features, making it easy for users to see which images are outdated. Cupdate does not automatically deploy updates but focuses on providing visual update information, suitable for users who prefer manual control over the update process.

Woodpecker

Woodpecker is an open-source CI/CD engine designed to provide a lightweight, easy-to-use, and highly extensible automation solution for build and deployment. It executes pipeline steps based on Docker containers, supports multiple workflow configurations, and allows functionality extension via plugins. Woodpecker integrates with code hosting platforms like GitHub, GitLab, and Gitea, enabling automatic build, test, and deployment triggers upon code changes.

AIStore

AIStore is an open-source object storage system developed by NVIDIA, specifically designed to meet the demands of large-scale deep learning and AI workloads. It features linear scalability, supporting performance growth when adding storage nodes. It is suitable for various deployment environments, including on-prem servers, K8s clusters, and cloud platforms. AIStore provides native RESTful APIs and Amazon S3-compatible interfaces, supporting integration with major cloud storage services like AWS S3, Google Cloud, Microsoft Azure, and Oracle OCI.

Technical recommendations

Kubernetes v1.33 Released: 64 Enhancements, User Namespaces Enabled by Default

This article introduces the major updates in Kubernetes v1.33, released on April 23, 2025, codenamed “Octarine.” The release includes 64 enhancements, with 18 reaching stable, 20 in Beta, and 24 in Alpha stages. Notably, user namespaces are enabled by default without needing manual feature flag configuration. The v1.33 version continues the transition from traditional Endpoints API to EndpointSlices to improve network scalability and performance. This release reflects the Kubernetes community’s ongoing commitment to enhancing platform functionality and security while maintaining a high-quality release cadence.

In-depth Analysis of K8s Multi-container Pods: Evolution and Practice of the Sidecar Pattern

This article discusses the design philosophy of K8s multi-container Pods and their application in cloud-native architectures, with a focus on the origin, advantages, and implementation of the Sidecar pattern. The Sidecar pattern allows developers to extend functionality, such as log collection, monitoring, security, and traffic management, without modifying the main application code. With the rise of microservices architectures, the Sidecar pattern has become key in building observability and service meshes (e.g., Istio, Linkerd). Kubernetes supports defining Sidecar containers with independent lifecycles (default since v1.29), enhancing collaboration and resource sharing between containers. The article also highlights the use cases for multi-container Pods and recommends this pattern when containers are tightly coupled to improve system modularity and maintainability.

Evolution of K8s Workload Patterns

This article discusses the evolution of K8s workload patterns, focusing on how K8s has transitioned from simple stateless applications to more complex stateful distributed systems as it handles increasingly complex data workloads. With the rise of AI and machine learning workloads, new patterns such as batch processing and job scheduling are optimizing complex workflows. Additionally, K8s’ support for databases and high-availability systems continues to improve, making data-intensive application management more efficient and scalable. As technology advances, the management of K8s workloads continues to evolve, facing new challenges and demands, especially in the AI and big data domains.

What’s new in cloud native

Podman Desktop 1.18 Released

Podman Desktop is an open-source graphical tool designed to simplify the management of local containers and Kubernetes. It supports Windows, macOS, and Linux platforms, providing an intuitive interface and supporting multiple container engines. Through its extension mechanism, Podman Desktop enhances functionality for efficient local containerized application development and deployment. The 1.18 version introduces several feature enhancements, including the official removal of Docker compatibility from the experimental phase, support for installing Podman via Homebrew, and improved Kubernetes namespace switching and job resource visualization, expanding K8s management capabilities.

SLSA v1.1 Released

The SLSA (Supply-chain Levels for Software Artifacts) community has officially released version 1.1 of the SLSA specification, replacing the previous version 1.0. The update improves clarity and usability while maintaining backward compatibility. Key improvements include clarifications regarding proof format patterns, the addition of verification programs for VSA (Verification Summary Attestation), inclusion of verifier metadata in VSA formats, and further refinements to the threat model. These updates are aimed at helping developers and security teams more effectively verify the integrity of software build processes and enhance trust in the software supply chain. The release of SLSA 1.1 marks an important step forward in the standardization of software supply chain security.

About KubeSphere

KubeSphere is an open source container platform built on top Kubernetes with applications at its core. It provides full-stack IT automated operation and streamlined DevOps workflows.

KubeSphere has been adopted by thousands of enterprises across the globe, such as Aqara, Sina, Benlai, China Taiping, Huaxia Bank, Sinopharm, WeBank, Geko Cloud, VNG Corporation and Radore. KubeSphere offers wizard interfaces and various enterprise-grade features for operation and maintenance, including Kubernetes resource management, DevOps (CI/CD), application lifecycle management, service mesh, multi-tenant management, monitoring, logging, alerting, notification, storage and network management, and GPU support. With KubeSphere, enterprises are able to quickly establish a strong and feature-rich container platform.

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