SQLite WAL Bloat Crashed a k3s Home Lab Running 20+ Production Operators

·1 views

A Hetzner-hosted k3s single-node cluster, initially a small home lab, gradually accumulated over 20 production-grade operators including ArgoCD, Crossplane, and VictoriaMetrics, overwhelming its default SQLite-backed datastore. The compounding load from continuous leader-election leases caused kine's SQLite WAL file to balloon to 13.8 GB — larger than the 7.5 GB database itself — while row count hit 1.36 million and CPU load spiked to 79 on an 8-core machine. The operator diagnosed the issue only after ruling out individual API clients and SSHing directly into the node to inspect datastore metrics. An emergency WAL truncation halted the crisis, after which the control plane was migrated from SQLite via kine to embedded etcd, shrinking storage from 7.5 GB to 313 MB and dropping load average from 79 to 5. The incident highlights how a home lab can silently cross into production-scale failure territory without any formal transition point.

Read the full story at DEV Community

This is an AI-generated summary. ShortSingh links to the original source for the complete article.

Discussion (0)

Developer Builds Punjabi Food Landing Page Using Pure CSS Art, Zero Images

A developer named Komal has created a landing page called 'Taste of Punjab' as a submission for the DEV Frontend Challenge's Comfort Food category. The project uses entirely hand-crafted CSS illustrations — including wheat fields, a mud-house charpai, and eight dish cards — with no external images or icon libraries. Built with HTML5, CSS3, vanilla JavaScript, and Vite, the page features an interactive dish menu, recipe modals, a six-step farm-to-family timeline, and a reservation modal. The site is fully responsive and accessibility-focused, scoring 97 in Performance and a perfect 100 in Accessibility, Best Practices, and SEO on Lighthouse. The project aims to recreate the warmth of a Punjabi home rather than function as a conventional restaurant website.

0 comments Read more at DEV Community

ProgrammingDEV Community ·

Offset vs Cursor Pagination: Choosing the Right Strategy for Scalable APIs

Pagination is a technique that splits large database results into smaller chunks, and choosing the wrong approach can severely degrade API performance as data scales. Offset pagination, the most commonly learned method, works by skipping a set number of rows before returning results, making it simple to implement and ideal for admin dashboards where users jump between pages. However, at large offsets — such as skipping five million rows — the database must still scan all preceding records, causing significant slowdowns and potential duplicate or missing data when new records are inserted mid-browse. Cursor pagination addresses these issues by continuing from the last retrieved record rather than skipping rows, resulting in consistent, efficient queries regardless of dataset size. While cursor pagination cannot support direct page jumps, it is well-suited for infinite scroll and mobile applications, and is the preferred approach used by companies handling millions of records.

0 comments Read more at DEV Community

ProgrammingDEV Community ·

Advanced Rust Guide Explains serde Serialization Traits and Copy Trait Pitfalls

A technical tutorial on the DEV Community platform covers advanced Rust API design principles, focusing on the serde library's Serialize and Deserialize traits. Serde is Rust's core library for converting data structures to formats like JSON or YAML and parsing them back. The guide walks through manual implementations of both traits using a simple Point struct, demonstrating how serializers and visitor patterns work under the hood. It also highlights why using the derive macro is preferred over manual implementation due to reduced boilerplate. The article further addresses why implementing the Copy trait alongside Serialize and Deserialize is generally discouraged in Rust API design.

0 comments Read more at DEV Community

ProgrammingDEV Community ·

Advanced Rust: Implementing Clone, Default, Eq, Ord, Hash and Related Traits

A technical guide on DEV Community explores key Rust traits essential for well-designed APIs, focusing on Clone, Default, PartialEq, PartialOrd, Eq, Ord, and Hash. The Clone trait enables explicit deep copying of types, while Default allows types to define and return a standard default value. PartialEq and Eq support equality comparisons, with Eq imposing the stricter requirement that equality must always be reflexive. PartialOrd and Ord enable ordering comparisons, where Ord demands a total ordering required by collections like BTreeMap and BTreeSet. The Hash trait supports hash-based collections such as HashMap and HashSet, with the rule that equal values must always produce identical hash outputs.

0 comments Read more at DEV Community