Two Years of Self-Hosted Cloud Storage: Costs, Surprises and Lessons Learned

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A developer shares a two-year report on running a self-hosted cloud stack built on Nextcloud, MinIO, and ScsDriver on a Hetzner server costing about $30 per month. Mounting the storage as local drive letters let them edit large video and photo files with little noticeable latency, thanks to ScsDriver's caching layer. Their 4 TB disk filled to 4.3 TB, and they recommend choosing 8 TB from the start, along with monitoring and a tested update routine. The author concludes that self-hosting is cheaper than commercial cloud storage only at larger capacities, and suggests that smaller users should pay for a hosted service instead.

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Open-source Rust service wrapper runs Java apps on Windows, Mac and Linux

A new MIT-licensed Java service wrapper has been released on GitHub under the theonedev project, written in Rust. It has been tested intensively on Windows and Linux (amd64 and arm64) as well as Mac Silicon. OneDev uses the wrapper to run its Java application as a service on these platforms. Its configuration is a subset of the Java Service Wrapper (JSW), focusing solely on service wrapping and omitting JVM monitoring.

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ProgrammingDEV Community ·

BillCraft AI: Privacy-First Invoice Generator and Receipt Reader for Freelancers

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ProgrammingDEV Community ·

Guide Outlines Backend Exception Tracking for Express Pricing Rule Rollouts

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ProgrammingDEV Community ·

Causal RL Framework Aims to Explain and Schedule Maintenance for Soft Robots

A developer describes building an explainable causal reinforcement learning pipeline to maintain bio-inspired soft robots, such as a silicone octopus-like arm that kept developing micro-tears. Standard deep RL agents maximize task reward but cannot identify why hardware is degrading, since soft-body failures like fatigue, hysteresis, creep, and delamination are not directly observable. The approach uses embodied sensing and a structural causal model linking sensor readings, actions, latent degradation, and maintenance events, so the agent can reason about interventions on the causes of wear. The author reports that the rate of change in strain sensor readings was a stronger early failure predictor than absolute values. The write-up presents the method as a way to make maintenance policies both effective and explainable.

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