@black3dynamite said in Miscellaneous Tech News:
Google Chrome 82 won’t be supporting ftp
https://www.ghacks.net/2019/08/16/google-chrome-82-wont-support-ftp-anymore/
Few people will notice that one.
I know I'm far from one of the top contributors to ML, but if there's something you feel comfortable with endorsing me on, please send me a message and I'll send you my LinkedIn url.
A couple of my topics:
https://mangolassi.it/topic/15305/salt-grain-to-retrieve-users-present-on-minion-windows
https://mangolassi.it/topic/18764/create-a-vm-on-vultr-using-terraform-on-gitlab
https://mangolassi.it/topic/19224/gitlab-install-on-centos-using-salt
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@StuartJordan said in What is the Latest With SodiumSuite?:
@scottalanmiller Was this due to MongoDB?
Not "due to", but that turned into a factor. MongoDB is a great product, but between their licensing and design, it just wasn't ideal for our needs.
@dyasny said in Advice On a New Setup:
@scottalanmiller said in Advice On a New Setup:
In theory they are intended for special cases like video recording.
Yup, pretty much the same thing - intended for always-on, without too much heavy IO. Frankly, I doubt there's anything significantly different under the hood there.
I've looked at the specs before and could not really find anything.
Place for tracking issues with MangoLassi and NodeBB
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@JaredBusch said in Was mangolassi down earlier today?:
@Pete-S said in Was mangolassi down earlier today?:
@scottalanmiller said in Was mangolassi down earlier today?:
ML costs about $80/mo to run on Linode or Vultr
So that would that be something like 16GB RAM, 6 vCPUs?
I believe it is multiple instances. The database server is a separate incidents from the web server
It's all in one, reduces latency. We are able to get enough threads in a single instance so works out well.
@gilberto said in raid partition 0:
Excuse my ignorance. Now I was installing x2go. If I partition the hdd in raid 0 I also need to rebuild the operating system or just x2go. thank you.
To reiterate: Any time you are reconfiguring an array, you lose everything on the array.
If you want to keep the data, you must back the data up to a separate medium and restore it once you are done configuring the array.
Want to blatantly promote yourself? Here is the place. Go crazy!
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Thus far in our series, we’ve successfully shipped pihole.log lines to a Wavefront proxy in AWS EC2 and verified the proxy’s receipt of the logs. No data from the logs is being passed to Wavefront just yet, so it’s time to take a deeper look at the log contents and extract some data to be used as metrics. We’re looking for time series data (or things we can turn into time series data). Tracking the changes over time and the frequency of those changes could give a great deal of insight.
In this blog post, we see a glimpse of how to create metrics from logs. The time series metrics analyzed in that post came from parsing the data inside logs sent to a Wavefront proxy. Based on this document, we can leverage our logsIngestion.yaml file (or the yaml file we chose to specify using the logsIngestionConfigFile parameter in wavefront.conf) on the Wavefront proxy and grok patterns to perform this transformation. These grok patterns form a collective set of rules that determine exactly what data is sent from the proxy to our Wavefront instance’s collector gateway and thus will show up in the user interface.
Get the rest of the post here.
