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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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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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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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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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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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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.

BigQuery is a cloud-native, serverless analytics platform designed to store, query, and analyze massive volumes of structured and semi-structured data using standard SQL. It separates storage from compute, automatically scales resources, and eliminates the need for infrastructure management, indexing, or capacity planning.

BigQuery is optimized for analytical workloads such as business intelligence, log analysis, data science, and machine learning. It supports real-time data ingestion via streaming, batch loading from cloud storage, and federated queries across external data sources like Cloud Storage, Bigtable, and Google Drive.

Query execution is distributed and highly parallel, enabling interactive performance even on petabyte-scale datasets. The platform integrates deeply with the Google Cloud ecosystem, including Looker for BI, Vertex AI for ML workflows, Dataflow for streaming pipelines, and BigQuery ML, which allows users to train and run machine learning models directly using SQL.

Built-in security features include fine-grained IAM controls, column- and row-level security, encryption by default, and audit logging. BigQuery follows a consumption-based pricing model, charging for storage and queries (on-demand or reserved capacity).