The four pillars of data observability: metrics, metadata, lineage, and logs
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Re: The four pillars of data observability: metrics, metadata, lineage, and logs
#2Off topic: there seems to be a growing trend at HN of posts reaching the homepage with a reasonable number of upvotes yet without comments.
I don't know how to proceed with these posts (and this one), yet the temptation of mentally flagging these as friendly upvotes or point hoarders is strong, and I must admit that such posts receive less attention and more suspicion from me.
YMMV.
Re: The four pillars of data observability: metrics, metadata, lineage, and logs
#3Off topic: there seems to be a growing trend at HN of posts reaching the homepage with a reasonable number of upvotes yet without comments. I don't know how to proceed with these posts (and this one), yet the temptation of mentally flagging these as friendly upvotes or point hoarders is strong, and I must admit that such posts receive less attention and more suspicion from me. YMMV.
You could try reading the article and commenting with your own original thoughts.
Re: The four pillars of data observability: metrics, metadata, lineage, and logs
#4Off topic: there seems to be a growing trend at HN of posts reaching the homepage with a reasonable number of upvotes yet without comments. I don't know how to proceed with these posts (and this one), yet the temptation of mentally flagging these as friendly upvotes or point hoarders is strong, and I must admit that such posts receive less attention and more suspicion from me. YMMV.
You could try reading the article and commenting with your own original thoughts.
What makes you assume I did not read?
How shocking is it that, on some article and topic, I do not have a comment I deem interesting enough to share?
Besides, if you do not appreciate my specificly off-topic contribution, then so be it.
Re: The four pillars of data observability: metrics, metadata, lineage, and logs
#5Off topic: there seems to be a growing trend at HN of posts reaching the homepage with a reasonable number of upvotes yet without comments. I don't know how to proceed with these posts (and this one), yet the temptation of mentally flagging these as friendly upvotes or point hoarders is strong, and I must admit that such posts receive less attention and more suspicion from me. YMMV.
You could try reading the article and commenting with your own original thoughts.
All you need are logs.
Also, https://honeycomb.io looks pretty dope.
Re: The four pillars of data observability: metrics, metadata, lineage, and logs
#6Earlier quoted context omitted.
You could try reading the article and commenting with your own original thoughts.
What makes you assume I did not read? How shocking is it that, on some article and topic, I do not have a comment I deem interesting enough to share? Besides, if you do not appreciate my specificly off-topic contribution, then so be it.
[deleted]
Re: The four pillars of data observability: metrics, metadata, lineage, and logs
#7Off topic: there seems to be a growing trend at HN of posts reaching the homepage with a reasonable number of upvotes yet without comments. I don't know how to proceed with these posts (and this one), yet the temptation of mentally flagging these as friendly upvotes or point hoarders is strong, and I must admit that such posts receive less attention and more suspicion from me. YMMV.
Edit: I went and read TFA, and must say there were some red flags. CS people who add "PhD" beside their name are not only pretentious, but are trying to throw their academic weight around instead of letting their ideas and presentation stand on its own. Filled with more marketing fluff than useful information. Ugh.
I'm siding with you on this. I've "undowned" you and upvoted instead; Sorry xcamber!
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If you're really concerned, email dang (hn@ycombinator.com) and ask him to look into it. As a sidenote, if you actually flag out of suspicion of a voting ring or other feelings without real evidence, it is abusing the power you've been entrusted with. Threads like this one are also way off topic, seems more considerate to submit an "Ask HN" post rather than hijack the story discussion.
The group dynamics are often surprising on HN.
Re: The four pillars of data observability: metrics, metadata, lineage, and logs
#8Earlier quoted context omitted.
You could try reading the article and commenting with your own original thoughts.
All you need are logs. Also, https://honeycomb.io looks pretty dope.
The honeycomb-dot-io case was bad, I attended their conference once and it was like I'd been suckered into a neverending timeshare sales tour. Thankfully I haven't noticed the domain on the frontpage lately.
Compare:
https://news.ycombinator.com/from?site=honeycomb.io
https://news.ycombinator.com/from?site=metaplane.dev
Both look like they want to game HN pretty hard. If only they'd publish actual novel or interesting information instead of thinly veiled SaaS marketing!
Re: The four pillars of data observability: metrics, metadata, lineage, and logs
#9Earlier quoted context omitted.
You could try reading the article and commenting with your own original thoughts.
What makes you assume I did not read? How shocking is it that, on some article and topic, I do not have a comment I deem interesting enough to share? Besides, if you do not appreciate my specificly off-topic contribution, then so be it.
> What makes you assume I did not read?
OP didn't say you didn't read it. They said that you didn't read it AND attempt to start a meaningful discussion about it, which exactly what you were complaining about, right?
Re: The four pillars of data observability: metrics, metadata, lineage, and logs
#10Off topic: there seems to be a growing trend at HN of posts reaching the homepage with a reasonable number of upvotes yet without comments. I don't know how to proceed with these posts (and this one), yet the temptation of mentally flagging these as friendly upvotes or point hoarders is strong, and I must admit that such posts receive less attention and more suspicion from me. YMMV.
Fair point. Although I must admit it affects (people like?) me directly - I make it a point to always go through the comments before I read the article as a matter of habit.