Managing Kubernetes Role-Based Access Control (RBAC) across multiple clusters and clouds can be a complex challenge, especially for enterprises that require tight integration with existing identity management systems. Enter Kublr, a robust Kubernetes cluster management platform designed to simplify operations with its user-friendly interface, enterprise-grade features, and security-focused capabilities.

Across various industries including the Department of Defense (DoD), federal service agencies, financial institutions, healthcare and other highly regulated organizations, the National Institute of Standards and Technologies (NIST) 800 53 security framework, is used to describe the security compliance. It is a standard catalog of security controls for protecting organizations’ operations, assets, and users from cyber threats. To be sure that is a broad definition that requires more nuance.

We are delighted to announce the release of Rancher Desktop 1.17.0! This release comes with the newly added Open WebUI extension for local GenAI development, along with other improvements and fixes.

Learn about container security, its architecture, and essential best practices to protect your apps in cloud-native environments.

Kubernetes (K8s) is a complex container orchestration tool, but using Terraform can simplify creating and managing a Kubernetes cluster. In this article, we'll explore how Terraform streamlines the deployment of a GKE cluster, making it easier and more efficient.

Docker is a helpful tool for application management. You can use Docker in various ways: in the standalone mode, using Docker Compose on a single host, or by deploying containers and connecting Docker engines across multiple hosts. The user can use Docker containers with the default network, the host network, or other more advanced networks like overlays. This depends on the use case and/or the adopted technologies.

Podman vs Docker: Explore key differences in architecture, security, and tooling to choose the right containerization tool for your needs.

Edge computing is a decentralized computing approach that processes data and performs computations near the source of the data—local servers, smart devices, or edge nodes—rather than depending on a centralized data center. This reduces latency, which is often a result of data having to travel long distances and improves bandwidth efficiency. Discover how edge computing and Kubernetes revolutionize data processing and deployment.

At Qovery, we allow our users to spin up Kubernetes clusters on AWS, GCP, and Scaleway in 5 minutes. Recently, we began offering Karpenter as a node auto-scaler option when creating an EKS cluster - a feature that can be enabled with just one click.

Last year, we reflected on the progress that AI made in 2023 with tools like ChatGPT lowering barriers to entry and driving broader adoption across industries. Looking ahead, we anticipated even greater advancements in AI's accessibility and governance, including the democratization of technology, enhanced large language models for specific applications, and growing concerns around the ethical implications of synthetic content and intellectual property rights.