#kubernetes

#kubernetes

NVIDIA has launched KAI Scheduler, an open-source tool for optimizing GPU resource scheduling in AI workloads.

Nvidia's KAI Scheduler is an open-source Kubernetes-native tool designed for efficient GPU resource management in AI workloads.

The blog series advances from basic app testing to end-to-end tests in a Kubernetes environment.

Google Kubernetes Engine is utilized for testing infrastructure.

Google Cloud's Multi-Cluster Orchestra streamlines workload management across Kubernetes clusters, enhancing resource utilization and application resilience.

Google Cloud introduced Kubernetes History Inspector (KHI) to streamline troubleshooting in Kubernetes by visualising logs chronologically.

Microsoft enhances Azure Kubernetes Service with RAG support in KAITO, enabling advanced search capabilities for developers.

vLLM serving engine improves processing speed for model inference workloads in Azure Kubernetes Service.

Azure's new managed Redis service enhances performance for large applications.

Legacy Azure Cache for Redis is less economical for scalable application deployment.

Critical vulnerabilities in Ingress NGINX Controller expose 6,500 Kubernetes clusters to remote code execution risks.

Routine misconfigurations are prime entry points for cyber threats, leading to significant security breaches.

Rackspace Managed Kubernetes offers unified control and dedicated support for Kubernetes on various platforms.

Rancher is a flexible solution for managing clusters across multiple cloud environments with an easy-to-use interface.

Red Hat OpenShift enhances Kubernetes functionality with integrated tools for better management and security.

Docker Desktop 4.39 enhances user experience with a new AI agent and improved CLI for better multi-platform container management.

Kubernetes is widely adopted but remains complex to manage, leading to the growth of specialized vendors like Spectro Cloud.

Kube-scheduler matches Pods to Nodes for execution in Kubernetes, ensuring the proper resources are available before scheduling.

The Kubernetes Gateway API enhances Ingress functionality by providing advanced routing features without proprietary annotations.

The Kubernetes Gateway API enhances Ingress functionality by providing a standardized and vendor-neutral solution for complex traffic routing.

AI can significantly enhance DevOps by automating repetitive tasks, but it does not replace the need for human expertise that involves creativity and communication.

Narrow AI models may improve Kubernetes issue diagnosis in enterprise IT, addressing the challenge of complexity and inaccuracies associated with broader AI applications.

The demand for specialized DevOps skills is rising as companies adopt Kubernetes and microservices for IT modernization.

Edge technology has reached a pivotal moment due to advancements in AI and inferencing, enabling real-time decision-making.

SUSE's transition to Kubernetes emphasizes its commitment to modernizing applications and improving efficiency in edge computing.

SUSE's 2025 updates emphasize infrastructure for AI without creating proprietary solutions or vertical-specific applications.

KubeCon 2024 highlights Kubernetes as the essential platform for scaling AI applications in cloud native environments.

Kubernetes, celebrating its 10th anniversary, has become highly extensible but still faces usability challenges amidst its growing complexity.

Kubernetes is increasingly becoming essential for deploying and managing AI applications in cloud-native environments.

KubeCon 2024 emphasizes Kubernetes as the central platform for deploying AI applications, signaling a shift towards cloud native environments.

KubeCon 2024 emphasizes Kubernetes as the future of AI application deployment and management.

Kubernetes is becoming the preferred platform for AI applications, according to KubeCon 2024.

Transforming from a monolithic to a microservices architecture significantly improved our sentiment analysis system's scalability and efficiency.

Calvin Hendricks-Parker discusses key challenges in deploying Python applications, emphasizing the role of containerization and the Scaf project blueprint.

Fermyon's SpinKube optimizes costs and improves performance by utilizing WebAssembly for scalable containerization.

Consolidating effective Kubernetes SRE practices into a checklist helps manage complexity and reduce downtime.

Core SRE challenges include resource management, workload placement, and observability, which can be addressed with foundational principles.

Flux v2.5 enhances GitOps workflows with CEL integration for custom health checks.

The new version allows tailored health checks to improve Kubernetes resource management.

Kubernetes is reshaping deployment and management processes for cloud applications, greatly influenced by GitOps and infrastructure automation principles.

ARMO's Kubescape platform achieves 'incubating' status with CNCF, validating its growing importance in cloud native security.

QCon London 2025 combines technical sessions and hands-on training for software professionals, emphasizing skill enhancement and practical learning experiences.

Integrating Azure Key Vault with AKS using External Secrets enables secure management of sensitive data in Kubernetes.

Understanding Collector deployment modes is essential for effective telemetry management in Kubernetes.

Collector deployment patterns differ from modes; knowing this distinction improves setup efficiency.

Grafana Labs provides tools to simplify Kubernetes observability while supporting customization and integrations.

Grafana Labs simplifies Kubernetes observability through easy integration, custom dashboards, and support for open telemetry.

Red Hat launched OpenShift Virtualization Engine for efficient management of virtualization workloads, responding to market shifts and customer concerns over VMware changes.

Agoda successfully integrated macOS workloads into Kubernetes.

Crossplane simplifies multi-cloud resource management by extending Kubernetes with a declarative Infrastructure as Code approach.

Crossplane simplifies multi-cloud management by integrating cloud infrastructure management within the Kubernetes ecosystem.

Crossplane simplifies cloud resource management by extending Kubernetes, enabling Infrastructure as Code practices across multiple cloud platforms.

Crossplane simplifies multi-cloud resource management by using Kubernetes APIs.

It allows for Infrastructure as Code (IaC) within the Kubernetes ecosystem.

Crossplane simplifies multi-cloud management by enabling infrastructure management across cloud platforms using Kubernetes' declarative approach.

Linkerd 2.17 enhances egress traffic visibility and management, introduces rate limiting for microservices protection, and includes federated services for improved scalability.

Redis is a versatile in-memory database suitable for modern microservices.

It supports multiple data formats and is capable of data persistence.

Redis can optimize memory costs and improve performance for applications.

Running Redis on Kubernetes simplifies the management of stateful applications.

Understanding Service Level Objectives (SLOs) is vital for maintaining performance and customer satisfaction in service management.

SLOs are essential for setting measurable service performance goals that maintain service quality.

Java is extensively used within Microsoft across various products and services, emphasizing its importance in modern software infrastructure.

Containers simplify application deployment by bundling code and dependencies, providing portability and scalability.