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@mikeschinkel started using tool Kubernetes , 4 hours, 55 minutes ago.
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The Safe Path Off Ingress-NGINX: Ingress2Gateway 1.0

Kubernetes Gateway API Kubernetes

Ingress2Gateway 1.0 has been released to aid migration from Ingress-NGINX to Gateway API before its retirement in March 2026. The tool translates Ingress resources to Gateway API and highlights untranslatable configurations. The release features enhanced annotation support and thorough testing for reliable migration.

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Kubernetes best practices for DevOps engineers

Kubernetes

Have to manage Kubernetes in production but don’t feel confident about its many moving parts, complex architecture, and configurations? Here’s a selection of technical guides from experienced engineers for Kubernetes beginners looking to master this orchestration tool for running containerised apps efficiently and reliably.

Best practices for Kubernetes
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Three Events. One Week. The Heart of SoCal Tech.

Docker Kubernetes Pulumi Terraform vLLM

This March, Pasadena becomes a rare convergence point for security, open source, and DevOps practitioners. As a media partner,FAUN.dev()is proud to support three community-driven events that are deeply practitioner-focused and unapologetically real. - SCALEanchors the week asNorth America's largest..

SCaLE
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@kaptain shared an update, 1 month, 2 weeks ago
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Cluster API v1.12 Released: In-Place Updates and Chained Upgrades

Kubernetes

Cluster API v1.12 introduces in-place updates and chained upgrades to enhance Kubernetes cluster management. In-place updates modify existing machines without deletion, while chained upgrades streamline multi-version upgrades. The release also includes improvements to immutable rollouts and various bug fixes.

Cluster API v1.12 Released: In-Place Updates and Chained Upgrades
Kubernetes, often abbreviated as K8s, is an open-source orchestration platform designed to automate the deployment, scaling, and management of containerized applications. It acts as a "brain" for your infrastructure, ensuring that your containers run exactly where and how they should across a cluster of physical or virtual machines, abstracting away the underlying hardware to treat the entire data center as a single computational resource.

At its core, Kubernetes operates on a declarative model: you define the "desired state" of your application—such as how many replicas should be running or how much CPU they should use - and the system continuously works to maintain that state. If a container crashes or a node fails, Kubernetes automatically detects the discrepancy and restarts or reschedules the workload to ensure zero downtime, providing a self-healing environment that is critical for modern, high-availability systems.

Beyond simple container management, Kubernetes provides a robust ecosystem for networking, storage, and security. It handles service discovery and load balancing internally, allowing containers to communicate seamlessly without hardcoded IP addresses, and orchestrates storage mounting from various providers. By standardizing how applications are deployed and scaled, Kubernetes enables developers to move from local development to global production with consistent and predictable results.