Kubernetes (Homelab)

K8s basics, helm charts, storage classes, and small‑cluster ops for homelabs.

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tech-insider.org

Kinesis vs Event Hubs vs Pub/Sub: 12x Retention Gap [2026]

1+ hour, 27+ min ago   (920+ words) This comparison pulls the published numbers from all three vendors’ own documentation and lines them up for one specific job: moving player-event telemetry out of a game server and into something a live-ops team can query. Retention windows alone swing…...


hackernoon.com > kubernetes-security-best-practices-for-production-clusters

Kubernetes Security Best Practices for Production Clusters

5+ hour, 1+ min ago   (1480+ words) For example, an attacker might exploit a vulnerable application, steal a service account token, access the Kubernetes API, and attempt to move into other workloads. Alternatively, an exposed dashboard or overly permissive role could provide an easier entry point. Security…...


dev.to > zaerohell > resolving-fluid-cpu-over-consumption-in-a-node-20-microservice-mesh-docker-kafka-brokers-46i3

Resolving Fluid‑CPU Over‑consumption in a Node 20 Microservice Mesh (Docker + Kafka Brokers)

1+ hour, 55+ min ago   (392+ words) TL;DR: I fixed a runaway Fluid‑CPU usage bug that crashed our Node 20 services by tightening Docker cgroup limits and adding back‑pressure handling in the Kafka broker client. The change lives in CLAUDE_CODE_CONTEXT.md and a few config files,…...


dev.to > zaerohell > adding-per-container-cpu-and-memory-limits-in-docker-compose-for-riviera-industrial-erp-2ne4

Adding Per‑Container CPU and Memory Limits in Docker‑Compose for Riviera Industrial ERP

2+ hour, 9+ min ago   (382+ words) TL;DR: I added explicit mem_limit and cpus constraints to the PostgreSQL service in docker‑compose.yml. This stops the DB container from starving the host under load and makes resource usage predictable in production. My first instinct was to control…...


thenewstack.io > gpus-on-kubernetes

GPUs on Kubernetes are bring-your-own-everything, starting with the bill

3+ hour, 45+ min ago   (371+ words) Then people started putting workloads on GPUs and a lot of what we assumed would carry over didn’t. Almost every piece of visibility you take for granted on CPU and memory, GPUs make you build yourself. Your own metrics, your…...


kimi.ai > help > kimi-code > cli-migration

Kimi Code CLI · Migrating from kimi-cli

8+ hour, 41+ min ago   (111+ words) The new Node.js-based Kimi Code CLI offers simpler installation, faster startup, and a redesigned terminal. The legacy kimi-cli will gradually be retired. Follow Getting started, then migrate your existing data. On first launch, kimi checks ~/.kimi/ for legacy data....


aws.amazon.com > blogs > machine-learning > run-multi-node-inference-workloads-using-ray-llm-deep-learning-containers

Run multi-node inference workloads using Ray LLM Deep Learning Containers

8+ hour, 43+ min ago   (849+ words) AWS is the world's most comprehensive cloud, enabling organizations to accelerate innovation, reduce costs, and scale more efficiently Migrate to modernize → Modernize to unlock data → unlock data to run AI Get started with one of these featured services or browse…...


longbridge.com > dolphin > post > 44283715

AWS opts for simplicity: can modular, plug-and-play networking deliver?

12+ hour, 37+ min ago   (1722+ words) Oct 12, 2026 at 11:55 AM In our recent series on interconnect topologies, Dolphin Research reviewed 2D fat-tree, switch-based fabrics represented by NVIDIA & AMD. We also covered 3D torus, direct-connect fabrics exemplified by Google. $NVIDIA(NVDA.US) sets the benchmark. It owns the full stack…...


kimi.ai > help > kimi-code > cli-server-api

Kimi Code CLI · Server API

10+ hour, 22+ min ago   (39+ words) Kimi The Kimi Code team maintains the detailed guide for this topic. Visit the documentation site for the latest instructions. Read the complete Kimi Code CLI · Server API guide Back to Kimi Code documentation...


dev.to > ranaweerasupun > what-is-systemd-and-why-should-you-care-5c29

What is systemd? And why should you care?

9+ hour, 41+ min ago   (768+ words) The kernel does this by starting exactly one process and giving it process ID 1. This process is the init system and it becomes the parent of everything else that runs on the machine. On virtually every modern Linux distribution such…...