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Mirth: recover space when mirthdb grows out of control

I was recently asked to recover a mirth instance whose embedded database had grown to fill all available space so this is just a note-to-self kind of post. Btw: the recovery, depending on db size and disk speed, is going to take long. The problem A 1.8 Mirth Connect instance was started, then forgotten (well neglected, actually). The user also forgot to setup pruning so the messages filled the embedded Derby database until it grew to fill all the available space on the disk. The SO is linux. The solution First of all: free some disk space so that the database can be started in embedded mode from the cli. You can also copy the whole mirth install to another server if you cannot free space. Depending on db size you will need a corresponding amount of space: in my case a 5GB db required around 2GB to start, process logs and then store the temp files during shrinking. Then open a shell as the user that mirth runs as (you're not running it as root, are you?) and cd in...
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LLMs (might) make it easier to port code away from CUDA

I was reading this interesting analysis on Nvidia competition (as usual, his blog should be on your feed) from Simon Willison and this bit caught my attention (emphasis mine): Technologies like MLX, Triton and JAX are undermining the CUDA advantage by making it easier for ML developers to target multiple backends - plus LLMs themselves are getting capable enough to help port things to alternative architectures . I found it curious that the very same thing that's been fueling Nvidia's success could also help reduce/eliminate their moat.
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Quasi-code with Apache Camel

Debating whether to go no-code but worried about unclear licensing, the dreadful we-need-to-rewrite-it dram down the road or django/rails/spring boot and its relatively higher upfront cost? There's a third way: quasi-code with Apache Camel . It still amazes me how few people know about the swiss-army knife of integrations.
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