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Surely not. Atlassian is horrible, slow, and nothing I would copy.


A friend of a friend works/worked at Atlassian and was apparently slogging through legacy JSP when working on Jira.


They have had a complete turn around the last 2-3 years. It's snappy and seems like they actually listen to the feedback forms I fill out.

GitHub and GCloud are now the painful platforms for me. Jira/Bitbucket are nice by comparison now (imo). I use all of these daily. I suspect that Google and Microsoft are suffering from internal push to do everything with Ai. It shows when they are shipping slop and having uptime issues.


The software defined storage company croit.io announced it in their Workation in May 2023. AI is just another tool and people have to understand that it's not going away. As a company, you still need people to make use of this tool.


same here, will cancle the subscription and move away from this nonsense. I want to use their LLM, not their CLI.


croit.io, provides 24*7 enterprise support as a Proxmox Gold partner with a follow the sun support team.


Maybe try forcing it to properly plan ahead, break it down into small steps, and ask you to approve the plan.

Of course add a CLAUDE.md, put clear development guidelines into it, let it verify the git changes he did against this guidelines and of course things like a lint.

It will go off rails, especially after compaction, but you can make it correct mistakes on it's own.


There is a lot for you. You can become better, get rid of writing boiler plate and can focus on the complex issues instead of side hussle.


I've never really been bothered that much by writing boilerplate. That said, LLMs might be able to completely solve the more complex issues as well and then you'll only be writing code in your free time.


For AI, you want DAOS storage. It runs in userspace, you can use FUSE and it's the fastest storage on the planet when it comes to bandwidth (see io500). There are good companies supporting it like croit, and with their software it's easy to manage as well.


While DAOS looks cool, from their roadmap it looks like they still don't have a fault domain larger than a server... Their erasure coding profiles also look pretty thin. I'm ex-Meta, our infra had vastly different availability and reliability requirements but that looks like it'd be painful to support at scale.


As a German family, we opted out of the system to gain back freedom as a family. With regular school, you are bound to external schedules like vacation, when you have to get up,... We learned, that it's around 1 hour per day to achieve what kids learn during most of the day in regular schools. Doing homeschooling therefore is much more efficient time wise. in addition, we can train our kids to be self and critical thinking, something that does not exist in regular schools.

There are more reasons to consider, but these are our most important factors.


croit | Senior Ceph Engineer | 100% remote | Full or Part-time

croit is the developer of the easiest way to deploy and manage Ceph based scale out storage. To help and support our customers, we are looking for Ceph enthusiasts that want to join our team. Especially if you are an US citizen or if you like to support Sales with clever solutions, please reach out to contact@croit.io


Small objects are very inefficient in s3. Aggregate them together and form bigger log objects is critical to go from a small system log to a real environment.


The company I work for open-sourced a straightforward library that does exactly that: https://github.com/embrace-io/s3-batch-object-store


(author here)

definitely!

I plan to add a batch write API. Also, an API where it buffers till it reaches certain size or a timeout to write to S3

tracking the batch write here: https://github.com/avinassh/s3-log/issues/3


This is why systems such as WarpStream regularly runs compaction jobs to more efficiently store objects and cut down on API calls.


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