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ContentUpdates and recent posts about Google Kubernetes Engine (GKE)..
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@faun shared a link, 2 months, 3 weeks ago
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Intelligent Kubernetes Load Balancing at Databricks

Databricks replaced default Kubernetes load balancing for a **proxyless, client-side gRPC setup**, wired up through a custom control plane. No more **CoreDNS**. No more **kube-proxy**. Clients now get live endpoint discovery through **xDS**, plus smarter routing tricks like **Power of Two Choices** .. read more  

Intelligent Kubernetes Load Balancing at Databricks
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@faun shared a link, 2 months, 3 weeks ago
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Top 10 Kubernetes Deployment Errors: Causes and Fixes (And Tips)

Misconfigured YAML. Broken image refs. Botched resource settings. Most Kubernetes deploys don't fail mysteriously—they fail predictably. This guide breaks down the top 10 culprits: things like `CrashLoopBackOff`, bad image pulls, and `OOMKills`. More importantly, it shows how to dodge them with bet.. read more  

Top 10 Kubernetes Deployment Errors: Causes and Fixes (And Tips)
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@faun shared a link, 2 months, 3 weeks ago
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v1.34: Pod Level Resources Graduated to Beta

Kubernetes v1.34 bumps **Pod Level Resources** to Beta—and flips them on by default. Now you can set CPU, memory, and hugepages limits for the whole Pod, not just per container. That means smoother scheduling, stricter resource caps, and less sidecar thrashing. **Why it matters:** This shifts Kuber.. read more  

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@faun shared a link, 2 months, 3 weeks ago
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Fluentd to Fluent Bit: A Migration Guide

Fluent Bit just edged out Fluentd as the CNCF’s go-to log processor. Why? It's fast—up to 40× faster. Built in C. Embedded plugins. Native OpenTelemetry. Full observability baked in. It handles routing, schema changes, and telemetry across containers and edge systems without flinching. No Ruby here.. read more  

Fluentd to Fluent Bit: A Migration Guide
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@faun shared a link, 2 months, 3 weeks ago
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Why Rancher's Founders Pivoted From Kubernetes to Agentic AI

Obot.ai just dropped out of stealth with $35M in seed and a big swing: it’s building a control plane for agentic AI, anchored on the now-standard **Model Context Protocol (MCP)**. Its **MCP Gateway** handles registry, secure proxying, RBAC, and observability for MCP servers. Think API gateway, but .. read more  

Why Rancher's Founders Pivoted From Kubernetes to Agentic AI
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@faun shared a link, 2 months, 3 weeks ago
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KubeCon + CloudNativeCon North America 2025 Co-Located Event Deep Dive: Kubernetes on Edge Day

The inaugural Edge Day launched as a co-located event at KubeCon + CloudNativeCon EU in 2022, focusing on edge computing and the evolution from centralized data centers to the network edge. The event brings together academic research, enterprise use cases, and insights from the Kubernetes community... read more  

KubeCon + CloudNativeCon North America 2025 Co-Located Event Deep Dive: Kubernetes on Edge Day
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@eon01 shared a post, 2 months, 3 weeks ago
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Data-Driven Developer Journalism: Announcing FAUN.dev News, a Smarter Way to Read Developer News

We launched a new news experience at FAUN.dev that uses advanced retrieval to deliver context-rich, insightful news for developers.

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@varbear shared an update, 2 months, 3 weeks ago
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Perplexity AI's Comet Browser Launches Globally, Free for All Users

Perplexity AI launches the Comet browser globally, offering it for free to enhance internet usage with features like the Comet Assistant and Background Assistants, aiming to foster curiosity and productivity.

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@kaptain shared an update, 2 months, 3 weeks ago
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Akuity Launches AI Tools to Boost Kubernetes Management Efficiency

Argo CD

Akuity introduces AI-driven features to improve Kubernetes management, enhancing stability, security, and scalability while automating issue detection and resolution.

Google Kubernetes Engine (GKE) offers a Kubernetes experience on Autopilot that manages the underlying compute infrastructure without the need for manual configuration or monitoring. It provides container-native networking and security features, prebuilt Kubernetes applications and templates, pod and cluster autoscaling, and automated tools for workload migration. GKE clusters consist of a control plane and nodes that run the services supporting the containers. Autopilot mode manages the complexity of the cluster while allowing you to deploy and run your apps easily. The common uses of GKE include continuous integration and delivery, migrating workloads, and deploying and running applications. GKE pricing is based on the mode of operation, cluster management fees, and applicable multi-cluster ingress fees, with a free tier and a pricing calculator available to estimate costs. You can also connect with Google's sales team to get a custom quote for your organization or start your proof of concept.