# k6 Published articles for k6. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## Better context, smarter testing: How to give your AI coding agent direct access to k6 docs DevFeed: [Better context, smarter testing: How to give your AI coding agent direct access to k6 docs]() Original publisher: [Read original article]() Author: İnanç Gümüş Published: 2026-09-12T11:22:06.456390Z Content type: article Language: en Sources: [Grafana Labs blog on Grafana Labs]() Topics: [k6](), [Agent Skill](), [AI Agent](), [Command-line interface](), [coding]() Tags: [agent-skill](), [ai](), [ai-agent](), [ai-coding](), [analytics](), [cli](), [grafana](), [k6](), [logs](), [metrics](), [monitoring](), [observability](), [performance-testing](), [testing](), [traces]() ### AI overview The article introduces k6 x docs, an official k6 2.0 command that provides k6 documentation directly in the terminal. It supports API references, guides, best practices, and examples; works offline after the first lookup; matches documentation to the installed k6 version; and includes an agent skill for AI coding assistants. ### Source excerpt As testing workflows become more AI-assisted, fast access to accurate documentation matters more than ever. Whether you're writing a new load test, troubleshooting an issue, or having an AI agent generate a script for you, you need reliable guidance that keeps pace with the way you work. But most documentation still lives in a browser. Every time you or your agent needs to verify an API or look up a best practice, you're forced to leave your terminal or editor and interrupt your workflow. That's why, in k6 2.0, we introduced k6 x docs, an official k6 command that puts the entire k6 documentation library, including API references, guides, best practices, and examples, directly in your terminal. It works offline after first use, matches the docs to your exact k6 version, and includes a built-in agent skill, so AI coding assistants can look up k6 docs faster and most cost-effectively. The problem: documentation lives in the wrong place Most developers know the feeling. You're writing a k6 script, you need to check the signature for http.post or remember how thresholds work, and suddenly you're in a browser tab, searching, scrolling, clicking through navigation, and losing the context you had in your editor. For AI agents, the problem is worse. When they need to reference k6 APIs, best practices, or examples, they either rely on stale training data, hallucinate a function signature, or burn expensive tokens on a web search that may not return the right version of the docs. k6 x docs solves both problems by making documentation a first-class part of the k6 CLI. It gives agents CLI access to k6 docs that automatically detect the k6 version in use and deliver accurate content without leaving the session or performing web searches. How k6 x docs works The use is simple: type k6 x docs, optionally followed by the topic you want to look up. k6 x docs # See all available topics k6 x docs http # Learn about the k6/http module k6 x docs http get # Look up a specific function k6 ## K6 Load Testing on Laravel Cloud: 17,000 Requests per Second and Autoscaling Under Pressure DevFeed: [K6 Load Testing on Laravel Cloud: 17,000 Requests per Second and Autoscaling Under Pressure]() Original publisher: [Read original article]() Author: Devon Garbalosa Published: 2026-03-25T11:35:18Z Content type: tutorial Language: en Sources: [Laravel Blog]() Topics: [k6](), [Laravel](), [autoscaling](), [Cloud](), [Grafana Cloud](), [Benchmark](), [benchmarking](), [nginx]() Tags: [autoscaling](), [benchmark](), [benchmarking](), [cloud](), [grafana-cloud](), [k6](), [laravel](), [latency](), [testing]() ### AI overview A practical benchmark of Laravel Cloud using Grafana Cloud k6, a custom endpoint, 20,000 concurrent virtual users, and bimodal response-time jitter. The test sustained 17,000 requests per second while examining how autoscaling handled realistic traffic and long-lived connections. ### Source excerpt Learn how to load test a Laravel app with k6: 20,000 virtual users, bimodal latency jitter, and Laravel Cloud autoscaling under real pressure. Here's what happened. ## Best Practices for Scalable Cloud Infrastructure with Laravel Cloud DevFeed: [Best Practices for Scalable Cloud Infrastructure with Laravel Cloud]() Original publisher: [Read original article]() Author: Laravel Team Published: 2025-11-27T15:47:33Z Content type: article Language: en Sources: [Laravel Blog]() Topics: [cloud-infrastructure](), [autoscaling](), [Laravel](), [hosting](), [Caching](), [Redis](), [k6]() Tags: [autoscaling](), [best-practices](), [caching](), [cloud](), [cloud-infrastructure](), [hosting](), [infrastructure](), [k6](), [laravel](), [performance](), [queue](), [redis](), [scale](), [server](), [speed]() ### AI overview This article presents best practices for using Laravel Cloud to build scalable cloud infrastructure. It explains autoscaling strategies, load balancing, caching with Redis and Laravel Valkey, and managed queue workers for handling traffic spikes while maintaining application performance and stability. ### Source excerpt Tips for scaling cloud infrastructure in Laravel Cloud: set smart baselines, tune autoscaling triggers, and optimize replicas for stable performance. ## Chainguard Adds 449 Container Images from April to July 2025 DevFeed: [Chainguard Adds 449 Container Images from April to July 2025]() Original publisher: [Read original article]() Published: 2025-08-19T00:00:00Z Content type: release Language: en Sources: [Chainguard: Unchained]() Topics: [chainguard containers](), [Containers]() Tags: [chainguard-containers](), [elixir](), [flannel](), [grafana](), [k6](), [ollama](), [vs-code](), [zero-cve-container-images]() ### AI overview Chainguard reports building 449 container images from April through July 2025, including 173 FIPS-enabled images. The article highlights images for code-server, Elixir, Flannel, Grafana k6, and Ollama. ### Source excerpt Chainguard released over 400 new container images from April-July 2025 with zero CVEs. Many of these images are also FIPS-enabled. ## 1 Billion Classifications DevFeed: [1 Billion Classifications]() Original publisher: [Read original article]() Author: Derek Thomas Published: 2025-02-13T00:00:00Z Content type: article Language: en Sources: [Hugging Face - Blog]() Topics: [Inference](), [inference-endpoints](), [model-deployment](), [k6](), [Latency](), [Embeddings](), [Grafana](), [Hardware](), [Testing](), [hugging face](), [JavaScript](), [.env]() Tags: [classification](), [cost](), [cpu](), [embedding](), [embeddings](), [enterprise](), [grafana](), [inference](), [inference-endpoints](), [javascript](), [k6](), [latency](), [nlp](), [nvidia](), [performance](), [python](), [scale](), [testing]() ### AI overview This article presents a methodology for calculating cost and latency when running large-scale classification and embedding workloads. It examines model architectures, hardware options, deployment, load testing, and inference servers, with a focus on processing 1 billion inputs and balancing batch-inference cost against latency. ### Source excerpt We're on a journey to advance and democratize artificial intelligence through open source and open science. ## Automating performance tests DevFeed: [Automating performance tests]() Original publisher: [Read original article]() Author: Egor Romanov Published: 2024-02-21T07:00:00Z Content type: article Language: en Sources: [Supabase Blog]() Topics: [Performance Testing](), [k6](), [WebSocket](), [Streaming](), [Latency](), [Supabase](), [Replication]() Tags: [http](), [k6](), [latency](), [performance](), [performance-testing](), [replication](), [server](), [streaming](), [testing]() ### AI overview This article explains how Supabase developed an automated performance-testing process for its Realtime service. It covers comparing Realtime versions, testing WebSocket workloads such as database changes, broadcast, and presence, evaluating latency, and selecting k6 for load generation. ### Source excerpt Learn about our story to get to the automated performance testing. ## Supavisor: Scaling Postgres to 1 Million Connections DevFeed: [Supavisor: Scaling Postgres to 1 Million Connections]() Original publisher: [Read original article]() Author: Egor Romanov; Chase Granberry; Stanislav Muzhyk Published: 2023-08-11T07:00:00Z Content type: article Language: en Sources: [Supabase Blog]() Topics: [Supabase](), [benchmarking](), [Elixir](), [Database](), [Multi-tenancy](), [Latency](), [k6](), [Terraform](), [Grafana](), [Prometheus](), [Amazon EC2](), [Amazon Web Services]() Tags: [arm](), [aws](), [benchmarking](), [caching](), [cloud-native](), [elixir](), [grafana](), [k6](), [latency](), [load-balancing](), [multi-tenancy](), [postgres](), [prometheus](), [terraform](), [ubuntu]() ### AI overview Supavisor is a scalable, cloud-native Postgres connection pooler built in Elixir for multi-tenant workloads. Supabase benchmarked it under load and reports support for up to one million concurrent connections, with a single 16-core instance reaching 250,000 connections and processing 20,000 queries per second in the described baseline test. ### Source excerpt Supavisor is a scalable, cloud-native Postgres connection pooler. We connected a million clients to it to see how it performs.