@admin·12 min read·Cloud Native Your service is running, but is it healthy or slow? This guide explains the classic Prometheus + Grafana stack: metric types, the pull model, PromQL fundamentals, application instrumentation, Grafana dashboards and alerts, and how logs and traces complete the three pillars of observability.
#DevOps♥ 300 comments
@admin·5 min read·Cloud Native Inference workers, evaluation jobs, and model builders should not share cloud keys. This article separates the audiences of source credentials, exchange requests, and output tokens, and uses profiles and resource policies to block identity confusion.
#AI #LLM #DevOps♥ 280 comments
@admin·9 min read·Cloud Native Nginx is the most common reverse proxy and gateway in deployments, yet many developers only know how to copy a configuration snippet. This guide covers location matching, proxy_pass, X-Forwarded-* headers, load balancing, HTTPS/TLS, worker/buffer/gzip tuning, and common WebSocket, large-upload, and streaming pitfalls.
#DevOps♥ 310 comments
@admin·4 min read·AI Coding "Local mode" and "enterprise no-training" are not enough to prove code stays within bounds. This article binds repository classification, task materials, execution location, model calls, and residue cleanup into a verifiable routing contract, and defines safe degradation when cloud capability is unavailable.
#AI Agent #DevOps #Open Source♥ 290 comments
@admin·11 min read·Web Development A URL shortener is a classic system design interview problem spanning reads, writes, uniqueness, redirects, caching, and scaling. This article covers requirements, short-code generation, storage, 301 vs. 302 redirects, caching, sharding, and how to explain design tradeoffs during an interview.
#TypeScript #DevOps♥ 320 comments
@admin·6 min read·AI Coding Being able to export chat JSON doesn't mean you can leave a coding tool. This article defines a content-addressed exit package covering repository rules, task checkpoints, approvals, tool configuration, and audit receipts, and uses a cold start with an alternative tool to prove migration and revocation are truly complete.
#AI Agent #DevOps #Open Source♥ 300 comments
@admin·11 min read·Web Development Feed systems are a demanding design problem: high read and write volume, ranking, real-time delivery, and scalability. This article explains push, pull, and hybrid models; timeline storage; popular content; pagination and end-of-feed behavior; and what to choose at tens of thousands versus hundreds of millions of users.
#DevOps♥ 330 comments
@admin·14 min read·Cloud Native Message queues are the shock absorbers of distributed systems, smoothing traffic spikes, decoupling services, and enabling asynchronous work. This article covers their use cases, core models, reliability guarantees, ordering and duplication, and how to choose among Kafka, RabbitMQ, Redis Streams, RocketMQ, and Pulsar.
#DevOps♥ 340 comments
@admin·5 min read·Indie Hacking A single robots.txt Allow or Disallow can simultaneously affect different kinds of automated access. This article uses a versioned agent registry, policy compilation, and real-log testing to avoid blocking search or exposing sensitive paths.
#AI #DevOps #Indie Hacking♥ 320 comments
@admin·5 min read·AI Frontier Saving the model name, Prompt, and final score is not enough to replay an evaluation. This article freezes data and label generations, the request sequence, the decoder, the runtime environment, the Evaluator, and the result set to form a verifiable run evidence root.
#AI #LLM #DevOps♥ 330 comments
@admin·12 min read·Cloud Native Nine out of ten slow queries are caused by missing indexes or indexes that are not being used. This guide covers PG index types, composite indexes and the leftmost-prefix rule, EXPLAIN ANALYZE, common causes of unusable indexes, and when not to add an index.
#DevOps♥ 370 comments
@admin·16 min read·Cloud Native Redis is far more than a cache, yet many developers never get beyond SET/GET. This article covers its core data structures, production patterns for caching, distributed locks, rate limiting, and leaderboards, persistence and high-availability choices, and classic pitfalls including cache penetration, breakdown, avalanches, big keys, and expiration.
#DevOps♥ 380 comments