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Kubernetes

别名:K8s

用于容器编排的开源系统,支持自动化部署、扩展和管理容器化应用。

已跟踪 20 条高相关材料

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相关材料

已收录 20 条与 Kubernetes 相关的内容,按评分排序。

Building and Scaling a Platform with Project-as-a-Service

Building and Scaling a Platform with Project-as-a-Service

InfoQ1178 字 (约 5 分钟)
85

平台通过Project-as-a-Service实现自动化和标准化,提升团队效率与一致性。

入选理由:使用Project-as-a-Service可通过单个YAML文件快速创建环境。

FeaturedArticle#Kubernetes#DevOps#平台架构#自动化英文
Article: Two Misconfigurations That Caused Spark OOM Failures on Kubernetes

This article discusses the memory overflow issues that occurred when running Spark on Kubernetes due to two不当的基础设施设置。These settings are: setting `spark.kubernetes.local.dirs.tmpfs=true` to store all shuffle spill data in node memory, and using a hard `podAffinity` rule to force all executors to be placed on the same node. These settings cause shuffle spill to consume node memory instead of disk, leading to repeated OOM failures. By adjusting these settings, the issue can be resolved.

入选理由:设置`spark.kubernetes.local.dirs.tmpfs=true`将所有shuffle spill数据存储在节点内存中,可能导致内存溢出。

FeaturedArticle#Spark#Kubernetes#Memory Management#Infrastructure Settings中文
聊一聊 Agent 的存算分离架构设计👇

一个有灵魂,有记忆的 Agent,一次任务的生命周期包括以下步骤

1. 用户输入 query(text + files)
2. Agent 读取提示词文...

Discussing the Storage-Compute Separation Architecture of Agents 👇

idoubi(@idoubicc)1610 字 (约 7 分钟)
85

The storage-compute separation architecture for agents decouples storage and computation to enable scalability and security in cloud-based agents, leveraging layered data management with KV, relational DBs, vector databases, and object storage, combined with sandboxing and serverless patterns for efficiency.

入选理由:Agent 的生命周期包含读取提示词、工具、记忆、构建上下文、执行 Loop 并交付结果等步骤。

FeaturedTweet#Agent#Storage-Compute Separation#Serverless#Kubernetes#LLM中文
我年初开始做 OpenClaw 托管服务,在一套 k8s 集群部署了 500 个 Pod,每个 Pod 限制 4g 的运行内存。日常开着 18 台 4c16g 的服务器作为节点池,一个月成本将近 5k...

The author migrated OpenClaw hosting from a self-built Kubernetes cluster (18 x 4c16g servers, $5k/month) to FastClaw using compute-storage separation, enabling on-demand Agent startup. Servers reduced to 3, costs dropped to 1/6, MRR exceeded $8k but profit was low; migration enables potential profitability.

入选理由:OpenClaw 托管服务原部署于 18 台 4c16g 服务器的 k8s 集群,500 个 Pod 每个限 4G 内存,月成本近 5k 美元。

FeaturedTweet#Kubernetes#Cloud Native#Agent Runtime Framework#FastClaw#OpenClaw中文
freeCodeCamp.org 图标

The Tradeoff That Slows Production Teams Down: Flexibility vs Actually Shipping

freeCodeCamp.org1512 字 (约 7 分钟)
85

过度追求基础设施灵活性会拖慢产品交付速度,企业应优先优化实际交付能力而非理论上的灵活性。

入选理由:文章指出,80%的生产团队因过度定制化基础设施而延迟产品交付。

FeaturedArticle#软件工程#产品交付#基础设施英文
ITBench-AA: Frontier Models Score Below 50% on the First Benchmark for Agentic Enterprise IT Tasks — by Artificial Analysis and IBM

ITBench-AA is a new benchmark series evaluating models on agentic enterprise IT tasks, starting with Site Reliability Engineering tasks where frontier models score below 50% on ITBench-AA's SRE tasks benchmark model performance on Kubernetes incident response, where models and agents must diagnose live systems by reading logs, tracing dependencies, and identifying root-cause entities across complex infrastructure.

入选理由:Claude Opus 4.7 在 ITBench-AA 中表现最佳,得分为 47%

FeaturedArticle#ITBench-AA#Site Reliability Engineering#Frontier Models#IBM#Kubernetes中文
🆕Daytona’s Agent-Native Compute: 60ms sandboxes, 50K startups in 75 sec, 850K daily runs, RL/evals,...

Daytona's Agent-Native Compute platform is designed for AI agents, offering ultra-fast sandboxes, high startup rates, and massive daily runs, making it ideal for reinforcement learning and evaluations. The platform has pivoted from human developer environments to focus on agent sandboxes, emphasizing bare metal performance and stateful snapshots. With RL workloads accounting for nearly half of its usage, Daytona is redefining the AI cloud landscape, potentially shifting it towards a model similar to Stripe rather than AWS.

入选理由:Daytona's Agent-Native Compute provides 60ms sandboxes and can start up 50,000 instances in 75 seconds, handling 850,000 daily runs.

FeaturedTweet#AI Agents#Compute Platform#Reinforcement Learning#Cloud Computing#Daytona中文
Giving Agents Computers — Ivan Burazin, Daytona

Giving Agents Computers — Ivan Burazin, Daytona

Latent Space18182 字 (约 73 分钟)
85

Daytona addresses AI agents' dynamic compute needs through composable stateful sandboxes, with architecture supporting zero-to-100,000 CPU scalability, becoming a critical infrastructure component.

入选理由:Daytona的沙盒能在60毫秒内启动,支持每天85万次沙盒运行,满足AI代理的高并发需求。

FeaturedArticle#AI Agents#Sandbox Environments#Daytona#Reinforcement Learning#Cloud Infrastructure英文
Agent Sandbox on GKE is now available for everyone, and a first look at Agent Substrate

Bringing you Agent Sandbox on GKE and Agent Substrate

Google Cloud Blog1011 字 (约 5 分钟)
85

Google Cloud officially launches GKE Agent Sandbox and introduces open-source project Agent Substrate, providing secure, efficient execution environments and ultra-scale scheduling solutions for AI agents.

入选理由:GKE Agent Sandbox GA支持每秒300个沙盒分配,90%在200ms内完成,成本降低30%

FeaturedArticle#GKE Agent Sandbox#Agent Substrate#Google Cloud#Kubernetes#Agentic AI英文
Article: Kernel-Level Ground Truth: Why eBPF is Replacing User-Space Agents for Security Observability

eBPF provides security observability with kernel-level visibility and protection that user-space agents cannot match, as probes attached directly to the Linux kernel syscall interface remain functional even when attackers have container root, while reducing security-related CPU overhead by 60-80%.

入选理由:eBPF探针直接附加在Linux内核系统调用接口上,禁用探针需要逃逸到主机内核,这比运行`kill -9`困难得多

FeaturedArticle#eBPF#Security Observability#Kubernetes#Linux Kernel#Falco英文
Docker Full Course 2026

Docker Full Course 2026

freeCodeCamp.org105162 字 (约 421 分钟)
82

This Docker course, led by veteran instructor Isa, systematically covers containerization from basic concepts to advanced deployment, ideal for job preparation.

入选理由:课程涵盖虚拟机对比、Dockerfile、镜像构建、Docker Hub 使用等内容。

FeaturedVideo#Docker#Containerization#Cloud Computing#DevOps英文
freeCodeCamp.org 图标

How to Avoid Rebuilding Infrastructure for Every New Project

freeCodeCamp.org1481 字 (约 6 分钟)
82

PaaS platform services can avoid teams rebuilding infrastructure for each new project, shifting focus from infrastructure building to customer value delivery, significantly improving engineering efficiency and reducing operational complexity.

入选理由:PaaS将起点从'重建基础'转变为'开始交付',让新项目更接近客户价值而非基础设施组装

FeaturedArticle#PaaS#Infrastructure#Engineering Efficiency#DevOps英文
Mission Control: A decoupled, in-cluster application for deploying, configuring, observing, & troubl...

Mission Control: A decoupled, in-cluster application

LangChain(@LangChainAI)85 字 (约 1 分钟)
80

LangChain has released Mission Control, a decoupled, in-cluster application for deploying, configuring, observing, and troubleshooting self-hosted LangSmith and related LangChain infrastructure.

入选理由:Mission Control 运行在 Kubernetes 内部,本地访问。

FeaturedTweet#LangChain#Kubernetes#Mission Control#Self-hosted#LangSmith中文
David Heinemeier Hansson 图标

David Heinemeier Hansson's interesting problems

David Heinemeier Hansson344 字 (约 2 分钟)
75

David Heinemeier Hansson shares interesting problems he has faced as CEO of 37signals, including moving from the cloud to Kubernetes, the origins of Ruby on Rails, and the controversy with Apple over Mac exclusivity. He emphasizes that successful companies should provide opportunities for founders to focus on stimulating projects rather than routine tasks.

入选理由:David Heinemeier Hansson分享了他作为37signals CEO的有趣问题,包括从云迁移到Kubernetes、Ruby on Rails的起源以及与苹果的Mac exclusivity争议。他强调了成功企业应提供机会,让创始人有更多时间专注于刺激的项目,而不是日常琐事。

FeaturedArticle#Ruby on Rails#Kubernetes#Apple#Linux#Omarchy中文
Stack Overflow Blog 图标

No Dumb Questions: What is cloud computing and why is everyone doing it?

Stack Overflow Blog2732 字 (约 11 分钟)
75

The article explains the basic concept of cloud computing and its widespread adoption, emphasizing how it simplifies infrastructure management and reduces startup costs.

入选理由:云计算本质上是使用他人计算机资源,无需自建数据中心。

FeaturedArticle#Cloud Computing#AWS#Docker英文
Lobster Trap: OpenClaw in Containers from Local to K8s and Back — Sally Ann O'Malley, Red Hat

The speaker demonstrates how to containerize the AI agent OpenClaw and run it on Kubernetes, emphasizing container advantages in isolation, portability, and backup/recovery.

入选理由:OpenClaw是一个基于MIT许可的开源AI代理项目,支持本地和K8s部署。

FeaturedVideo#OpenClaw#Containerization#Kubernetes#AI Agent#Red Hat英文
Platform Engineering Labs Expands formae with Kubernetes Support, Native Helm Integration

InfoQ published an article about Platform Engineering Labs expanding its platform formae with Kubernetes support and native Helm integration.

入选理由:formae 现在支持 Kubernetes 和原生 Helm 集成。

FeaturedArticle#Platform Engineering Labs#formae#Kubernetes#Helm#Software Development中文

跨材料问答 · Kubernetes

回答基于:Kubernetes 相关 20 条材料
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