I agree that education needs overhaul, it's scary for new comers, AI can make mistakes that you need to be careful (so does old StackOverflow answers) but let’s be honest: Most employers aren’t paying for your art or your dopamine.
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I love the option for "Use a solid color background:" is Windows 95 background color. I love that color.
I’d commit 5000$ for a 20 inch macbook
For years, I just didn't get why replicated databases always stick with EBS and deal with its latency. Like, replication is already there, why not be brave and just go with local disks? At my previous orgs, where we ran Elasticsearch for temporary logs/metrics storage, I proposed we do exactly that since we didn't even have major reliability requirements. But I couldn't convince them back then, we ended up with even worse AWS Elasticsearch.
I get that local disks are finite, yeah, but I think the core/memory/disk ratio would be good enough for most use cases, no? There are plenty of local disk instances with different ratios as well, so I think a good balance could be found. You could even use local hard disk ones with 20TB+ disks for implementing hot/cold storage.
Big kudos to the PlanetScale team, they're like, finally doing what makes sense. I mean, even AWS themselves don't run Elasticsearch on local disks! Imagine running ClickHouse, Cassandra, all of that on local disks.
For years, I just didn't get why replicated databases always stick with EBS and deal with its latency. Like, replication is already there, why not be brave and just go with local disks? At my previous orgs, where we ran Elasticsearch for temporary logs/metrics storage, I proposed we do exactly that since we didn't even have major reliability requirements. But I couldn't convince them back then, we ended up with even worse AWS Elasticsearch.
I get that local disks are finite, yeah, but I think the core/memory/disk ratio would be good enough for most use cases, no? There are plenty of local disk instances with different ratios as well, so I think a good balance could be found. You could even use local hard disk ones with 20TB+ disks for implementing hot/cold storage.
Big kudos to the PlanetScale team, they're like, finally doing what makes sense. I mean, even AWS themselves don't run Elasticsearch on local disks! Imagine running ClickHouse, Cassandra, all of that on local disks.
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spa is defintely dying. a lost 10 years.
Millions of people doing admin/app/enterprise dashboards disagree.
Sure, we should cut waste, but compression exists for a reason. Dropping valuable observability data to save space is usually shortsighted.
And storage isn't the bottleneck it used to be. Tiered storage with S3 or similar backends is cheap and lets you keep full-fidelity data without breaking the budget.