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@kala shared an update, 4 days, 14 hours ago
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NanoClaw + Docker Sandboxes: Secure Agent Execution Without the Overhead

Docker NanoClaw Claude Code

NanoClaw integrates with Docker Sandboxes to enhance AI agent security through strong isolation and transparency. This collaboration focuses on enabling secure and autonomous operations for AI agents within enterprise environments.

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@varbear shared a link, 4 days, 16 hours ago
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The real cost of random I/O

Therandom_page_costwas introduced ~25 years ago, and its default value has remained at 4.0 since then. Recent experiments suggest that the actual cost of reading a random page may be significantly higher than the default value, especially on SSDs. Lowering therandom_page_costmay not always be the be.. read more  

The real cost of random I/O
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@varbear shared a link, 4 days, 16 hours ago
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Interview with Thomas Wouters - release Manager for Python

The interview traces Python's core evolution. It starts with addingaugmented assignment(+=) and thePEP 203debates. Arguments followed. Nested scopeslanded viafuture imports. Maintainers repackagedelementtree/xmlplususingpath. asynciorose and supplantedTwisted. Python moved toyearly releases... read more  

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@varbear shared a link, 4 days, 16 hours ago
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Things I miss about Spring Boot after switching to Go

The author migrated fromJava/Spring BoottoGolang. Spring bundlesSecurity,Data,Actuator, and auto-wiring. Go prefers minimalist libraries and explicit wiring. It produces static binaries, instant startup, lower memory use, and nativegoroutineconcurrency. Spring needs JVM startup and GC tuning... read more  

Things I miss about Spring Boot after switching to Go
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@varbear shared a link, 4 days, 16 hours ago
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How to steal npm publish tokens by opening GitHub issues

Attackers pushed a poisonedcline@2.3.0to npm using a stolen publish token. ItspostinstallinstalledOpenClawglobally. An AI triage bot let a malicious issue title trickClaudeinto running commands on a GitHub Actions runner. It wrote a poisonedactions/cacheentry. The nightly release restored the poison.. read more  

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@varbear shared a link, 4 days, 16 hours ago
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Why is WebAssembly a second-class language on the web?

The post catalogs recentWebAssemblyextensions:shared memory,SIMD,exceptions,tail calls,64-bit memory,GC,bulk memory,multiple returns, andreference types. It arguesWebAssemblyremains a second-class web language. MessyJS glueand arcane loading keep it there. The post pushes theWebAssembly Component Mo.. read more  

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@kaptain shared a link, 4 days, 16 hours ago
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Why I stopped using NixOS and went back to Arch Linux

After a year onNixOS, the author reverted toArch Linux. They blamed frequent breakage, rebuild loops, and unpredictable regressions after updates. They flaggedNixOS's reproducible config,isolated builds, and multi-generation installs. These swell disk use, force wideglibcrebuilds, and make updates s.. read more  

Lustre is an open-source, parallel distributed file system built for high-performance computing environments that require extremely fast, large-scale data access. Designed to serve thousands of compute nodes concurrently, Lustre enables HPC clusters to read and write data at multi-terabyte-per-second speeds while maintaining low latency and fault tolerance.

A Lustre deployment separates metadata and file data into distinct services—Metadata Servers (MDS) handling namespace operations and Object Storage Servers (OSS) serving file contents stored across multiple Object Storage Targets (OSTs). This architecture allows clients to access data in parallel, achieving performance far beyond traditional network file systems.

Widely adopted in scientific computing, supercomputing centers, weather modeling, genomics, and large-scale AI training, Lustre remains a foundational component of modern HPC stacks. It integrates with resource managers like Slurm, supports POSIX semantics, and is designed to scale from small clusters to some of the world’s fastest supercomputers.

With strong community and enterprise support, Lustre provides a mature, battle-tested solution for workloads that demand extreme I/O performance, massive concurrency, and petabyte-scale distributed storage.