All news with #kubernetes security tag

🚀 Amazon EKS Capabilities is now generally available, offering a fully managed, extensible set of Kubernetes-native platform features that offload operations to AWS. The capabilities run in AWS-owned infrastructure separate from customer clusters and AWS handles autoscaling, patching, and upgrades. Launch features include Argo CD for continuous deployment, AWS Controllers for Kubernetes (ACK) for resource management, and Kube Resource Orchestrator (KRO) for dynamic orchestration.

🛠️ Amazon SageMaker HyperPod now supports custom Kubernetes labels and taints configured at the instance group level via the CreateCluster and UpdateCluster APIs. You can specify up to 50 labels and 50 taints per instance group using the KubernetesConfig parameter. HyperPod automatically applies and preserves these settings across node creation, replacement, scaling, and patching, eliminating manual kubectl work and ensuring device plugin pods (EFA, NVIDIA) schedule correctly while allowing NoSchedule taints to protect costly GPU nodes.

🔧 The Amazon SageMaker AI MCP Server now provides tools to set up and manage HyperPod clusters, allowing AI coding assistants to provision and operate clusters for distributed training, fine‑tuning, and deployment. It automates prerequisites and orchestrates clusters via Amazon EKS or Slurm with CloudFormation templates that optimize networking, storage, and compute. The server also delivers lifecycle operations — scaling, patching, diagnostics — so administrators and data scientists can manage large-scale AI/ML clusters without deep infrastructure expertise.

⚠️ Researchers disclosed five vulnerabilities in Fluent Bit, the open-source telemetry agent, that can be chained to bypass authentication, write or overwrite files, execute code, corrupt logs, and cause denial-of-service conditions. CERT/CC noted many issues require network access, and fixes were released in Fluent Bit 4.1.1 and 4.0.12 with AWS participating in coordinated disclosure. Operators are urged to update immediately and apply mitigations such as avoiding dynamic tags, mounting configs read-only, and running the agent as a non-root user.

⚠ Three high-severity vulnerabilities in the runc container runtime allow attackers to escape containers and gain host-level privileges by abusing masked paths, console bind-mounts, and redirected writes to procfs. Aleksa Sarai of SUSE and the OCI described logic flaws that let runc mount or write to sensitive /proc targets, including /proc/sys/kernel/core_pattern and /proc/sysrq-trigger. Patches are available in runc 1.2.8, 1.3.3 and 1.4.0-rc.3; administrators should update promptly, favor rootless containers where feasible, and monitor for suspicious symlink behaviour.

🔁 Google and the Kubernetes community introduced control-plane minor-version rollback in Kubernetes 1.33, giving operators a safe, observable path to revert control-plane upgrades. The new KEP-4330 emulated-version model separates binary upgrades from API and storage transitions into a two-step process, enabling validation before committing changes. This capability is available in open-source Kubernetes and will be generally available in GKE 1.33 soon, reducing upgrade risk and shortening recovery time from unexpected regressions.

🚀 Google Cloud and Anyscale describe tighter integration between Ray and Kubernetes to improve distributed AI scheduling and autoscaling on GKE. The release introduces a Ray Label Selector API (Ray v2.49) to align task, actor and placement-group placement with Kubernetes labels and GKE custom compute classes, enabling targeted placement and fallback strategies for GPUs and markets. It also adds Dynamic Resource Allocation for A4X/GB200 racks, writable cgroups for Ray resource isolation on GKE v1.34+, TPU/JAX training support via a JAXTrainer in Ray v2.49, and in-place pod resizing (Kubernetes v1.33) for vertical autoscaling and higher efficiency.

🔐 Dataproc 2.3 on Google Compute Engine provides a streamlined image that includes only the essential core components for Spark and Hadoop, reducing the attack surface and simplifying compliance. The image is FedRAMP High compliant and leverages both automated CVE remediation and manual engineering intervention for complex fixes. Optional tools like Flink, Hudi, Ranger, and Zeppelin are available on-demand during cluster creation, or can be pre-baked into custom images to speed provisioning while preserving the security benefits of the lightweight base.

🛡️ AWS has published a new whitepaper titled Security Overview of Amazon EKS Auto Mode that explains the service’s architecture, core security principles, and built-in protections. The guidance highlights a new approach to node management that leverages Amazon EC2 managed instances to let customers delegate operational control to AWS. Intended for cloud architects, security professionals, and Kubernetes practitioners, the document helps teams understand how EKS Auto Mode reduces infrastructure complexity while maintaining secure operations.

🚀 Managed Lustre on GKE is a managed parallel file system with a CSI driver that brings low-latency, high-throughput POSIX storage to Kubernetes for demanding AI and HPC workloads. It is recommended for training, checkpointing, and small-file patterns where GPUs/TPUs must stay utilized, while Cloud Storage is an alternative for large, higher-latency files. The article presents five operational best practices—data locality, tiering, networking, provisioning, and using Kubernetes Jobs with a shared PVC—to maximize performance and control costs.

🔴 Researchers from JFrog disclosed critical command-injection vulnerabilities in Chaos-Mesh (tracked as CVE-2025-59358, CVE-2025-59360, CVE-2025-59361, and CVE-2025-59359) that allow an attacker with access to an unprivileged pod to execute shell commands via an exposed GraphQL API and the Chaos Daemon. Three of the flaws carry a CVSS score of 9.8 and can be exploited in default deployments, enabling denial-of-service or full cluster takeover. Users are advised to upgrade to Chaos-Mesh 2.7.3 or to disable the chaosctl tool and its port via the Helm chart as a workaround.

🔒Amazon EKS now offers a curated catalog of community add-ons for AWS GovCloud (US) Regions. The catalog includes popular open-source components such as metrics-server, kube-state-metrics, cert-manager, prometheus-node-exporter, fluent-bit, and external-dns, all packaged, scanned, and validated for compatibility by EKS. Container images are hosted in an EKS-owned private ECR repository, and you can install and manage add-ons via the EKS Console, API, CLI, eksctl, or infrastructure-as-code tools like AWS CloudFormation.

⚠️Security researchers disclosed multiple critical vulnerabilities in Chaos Mesh that allow minimally privileged in-cluster actors to execute fault injections and potentially take over Kubernetes clusters. The issues, grouped as Chaotic Deputy, include an unauthenticated GraphQL debugging endpoint and several operating-system command-injection flaws (CVE-2025-59358 through CVE-2025-59361). Chaos Mesh released a remediation in 2.7.3; administrators should patch immediately or restrict access to the daemon and API server if they cannot upgrade.

🚀 AKS Automatic is now generally available, delivering a fully managed, opinionated Kubernetes experience with production-ready defaults and automated day-two operations. It removes infrastructure toil—automatic node provisioning, scaling, patching, and repairs—while enabling intelligent autoscaling with HPA, VPA, KEDA and Karpenter. Developers retain the full Kubernetes API and toolchain and gain GPU and AI workload optimizations.

🛡️ The shift to containers, Kubernetes, and serverless has made runtime visibility the new center of gravity for cloud-native security. CNAPPs that consolidate detection, posture, and response are essential, but observing active workloads distinguishes theoretical risk from live exposure. AI-driven correlation and automated triage reduce false positives and accelerate remediation. Vendors such as Sysdig stress mapping findings back to ownership and source code to drive accountable fixes.

🎉 Google marks the tenth anniversary of Google Kubernetes Engine (GKE) by simplifying pricing and expanding capabilities. Starting September 2025, GKE moves to a single paid tier, GKE Standard, which includes multi-cluster features such as Fleets, Teams, Config Management, and Policy Controller at no extra cost, with additional capabilities available à la carte. Google is also making Autopilot toggleable per cluster and per workload and promoting a container-optimized compute platform designed to increase efficiency and performance for AI and large-scale services.

🔧 Amazon Elastic Kubernetes Service (Amazon EKS) now allows you to select a custom Kubernetes namespace when installing both AWS and Community add-ons, giving operators finer control over object organization and isolation within clusters. You can install add-ons into a chosen namespace via the AWS Console, EKS APIs, AWS CLI, or infrastructure-as-code tools like CloudFormation. Note that to move an installed add-on to a different namespace you must remove and recreate it. This capability is available in all commercial AWS Regions.

🔒 Google announced that protected KVM (pKVM) has achieved SESIP Level 5 certification, making it the first software security system for large-scale consumer electronics to reach this assurance. The certification followed a hands-on evaluation by Dekra under the TrustCB SESIP scheme compliant to EN-17927 and includes AVA_VAN.5 vulnerability analysis. pKVM will enable high-criticality isolated workloads such as on-device AI and provides an open-source, verifiable foundation for device manufacturers.

🚀 Microsoft announced it was recognized as a Leader in the 2025 Gartner Magic Quadrant for Container Management, reflecting the scope and customer impact of its container portfolio. Azure Kubernetes Service (AKS), Azure Container Apps, and hybrid/multicloud capabilities with Azure Arc are highlighted for developer productivity, operational simplicity, and AI readiness. The company emphasized developer tooling like AKS Automatic (preview), Azure Developer CLI, and GitHub Copilot, plus integrated security through Microsoft Defender for Containers and Azure Policy. Customer examples such as ChatGPT, Telefônica Brasil, Coca‑Cola, Hexagon, and Delta Dental illustrate real-world outcomes.