SShortSingh.
Back to feed

Linux 7.4 to Replace Compile-Time SLUB_TINY with Runtime Boot Option

0
·4 views

Linux 7.4 is set to introduce a slab_tiny boot parameter that replaces the compile-time CONFIG_SLUB_TINY setting, allowing a single kernel image to serve both low-memory and full-sized systems. The change, posted by slab maintainer Vlastimil Babka on September 23, eliminates the need for separate kernel builds for small-memory embedded boards. A related allocator patch by Hao Li delivers a 24% throughput improvement on mmap microbenchmarks by optimizing per-CPU cache refill logic. Security researchers also found that inotify leaks keystroke and authentication-prompt timing data, with a partial fix already merged into the longterm kernel series. Meanwhile, Linux 7.3 is at release candidate 5 with a final release projected for mid-October, and the 7.1 series has reached end-of-life.

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)

Log in to join the discussion and vote.

Log in

Related stories

0
ProgrammingDEV Community ·

Wpipe offers embedded Python pipeline orchestration without infrastructure overhead

Wpipe is an open-source Python library designed to run data and processing pipelines without requiring dedicated orchestration servers, external databases, or cloud APIs. Unlike platforms such as Prefect, wpipe operates as a fully self-contained, zero-config engine embedded directly within application code. It uses a local SQLite WAL database for atomic state persistence, eliminating network latency and external dependencies. The library supports transactional checkpointing, making it suited for edge computing and tactical data engineering use cases. Wpipe is available on GitHub and PyPI for developers seeking lightweight pipeline control in pure Python.

0
ProgrammingDEV Community ·

Wpipe Offers Embedded Python Pipeline Orchestration With No Server Required

Wpipe is an open-source Python library designed to run data and processing pipelines without the need for dedicated orchestration servers, external databases, or cloud APIs. Unlike tools such as Prefect, wpipe operates as a self-contained, importable module that stores all state and execution tracking in a local SQLite file using WAL mode. The library supports atomic checkpointing, meaning pipelines can resume from the last successful step even after unexpected hardware failures or power loss. It is particularly suited for edge computing environments, IoT devices, Raspberry Pi deployments, and CI/CD pipelines where network connectivity and system resources may be limited. Wpipe is available on both GitHub and PyPI for developers seeking lightweight, infrastructure-free workflow orchestration.

0
ProgrammingDEV Community ·

Living City Platform Uses AI Memory Layer to Give Hyderabad a Urban Intelligence System

A developer has built 'Living City,' an AI-powered urban intelligence platform focused on Hyderabad that goes beyond traditional real-time dashboards. The platform's core innovation is a persistent memory layer called Hindsight, which stores meaningful past city events — such as how heavy rain led to waterlogging and transit delays — rather than raw data. When a new urban event occurs, the AI queries Hindsight to retrieve relevant past experiences and uses them as context for its current analysis. This creates a continuous intelligence loop described as Observe, Remember, Recall, Reason, Learn, and Remember again. The goal is to shift city monitoring from simply reporting what is happening now to understanding it in light of what has happened before.

0
ProgrammingDEV Community ·

18-Year-Old Developer Builds Cookie-Free Funnel Analytics Tool Cloudline

Om Yaduvanshi, an 18-year-old applied AI developer, has built Cloudline, a cookieless alternative to Google Analytics that tracks user funnels without storing cookies or IP addresses. The tool uses a single script tag under 2 KB and records only page, referrer, screen size, and time for each pageview. Instead of following individual users across sessions, Cloudline stacks anonymous counts — pageviews and button clicks — in a developer-defined sequence to reveal where visitors drop off. The approach carries one acknowledged limitation: it assumes users who clicked a button were among those who viewed the preceding page, which may not always hold true. Cloudline is currently free for early users while the product remains in active development.