Until very recently, at the company I work for, we were running one of the largest (if not the largest) replica set cluster in terms of number of documents stored (~20B) and data size ~11TB. The database held up nicely in the past 10 years since the very first inception of the product. We had to do some optimizations over the years, but those are expected with any database. Since Mongo Atlas has a hard limit on the maximum disk size of 14TB we explored multiple migration options - sharding Mongo or moving to Postgres/TimescaleDB or another time series database. During the evaluation of alternative database we couldn't find one which supported our use case, that's highly available, could scale horizontally and that's easily maintainable (e.g. upgrades on Mongo Atlas require no manual intervention and there's no downtime even when going to the next major version). We had to work around numerous bugs that we encountered during sharding that were specific to our workloads, but the migration was seamless and required ~1h of downtime (mainly required to fine-tune database parameters). We've had very few issues with it over the years. I think Mongo is a mature technology and it makes sense depending on the type of data you're storing. I know at least few other healthcare companies that are using it for storing life-critical data even at a larger scale.
Ravendb is trash. It can’t handle even 1/10 of this type of a load, it was trashed in jepsen testing too. I had to work with it 4 years and i disliked it.
Where did this bogus "transgenic" narrative come from? And BTW he didn't say "research on transgender mice", he said "making mice transgender"... which is technically incorrect but obvious to me (and, I thought, anyone knowledgeable in the field) that the research involved giving mice hormone therapy.
Saying "technically incorrect" is downplaying what is really totally incorrect from any reasonable interpretation. There is nothing in that fact check that it's close to what was said. Let's just call it wrong and not try to excuse it
The ability to turn a study on "the effects of testosterone hormone therapy on breast cancer" into "transgender", into "why are they twisting his words! everyone knows he didn't mean transgender" requires some serious excuse making mental gymnastics. Why are you still trying to convince yourself rather than just recognize maga has gone completely off the rails?
Correctly ingesting and visualizing data that's captured by different devices while also accounting for travel across timezones, is a real challenge. [1] is our guide how we do this for diabetes data generated by CGMs and insulin pumps.
iPhones record videos with variable frame rate, which makes them unsuitable for syncing the video with a separate recorded audio track (e.g. when recording guitars). The video and audio would ever so slightly go our of sync. I wish there was a way to use fixed frame rate when recording.
I have a severe form of allergic dermatitis that I've been trying to get under control for close to 10 years now. At one point to it so bad I couldn't take a shower without being in excruciating pain, I couldn't sleep, I could barely go through the day. The problem with all of the existing treatments, including the latest generation of monoclonal antibodies and JAK inhibitors is that they downregulate your immune system and they make you more sensitive to allergens if you discontinue the treatment. The only thing that made me better over time was stopping all drugs (including topical ones). It got worse for close to a year, but in 2-3 years my skin "healed". I'm still allergic and do get rashes occasionally, but I'm way less sensitive now.
Yes, zinc helped a lot in when the skin was severely inflamed and oozing. After that period passed, I discontinued it as well, because the drier the skin is, the easier it cracks.
So your recommendation is, just let it settle? There is that faction that wants to go for "create artificial oily skin condition" to increase the protective layer. Your opinion on that? Congrats on surviving becoming Marat.
Wavelets are used for pattern recognition in many iris recognition systems. First, the position of the iris in the input image is determined, then any eyelash and eyelid occlusions are removed and the iris is extracted by converting it to a polar coordinated image. The resulting image signal is convolved with wavelets of different shapes and sizes. The resulting signal is encoded using phase demodulation to produce an IrisCode. Two iris codes can be checked for a match by computing their hamming distance. [1] is the paper which describes the original system invented by Daugman. [2] is an open source implementation of that method.
That paper by Daugman was the basis for my undergrad thesis, so when I saw the title, that's what my mind immediately jumped to! Lo and behold, I open the comments and find a link to the paper. Not only that, but it's still stored on my old professor's website (~az = Andrew Zisserman)!
Rego, the language used in Open Policy Agent, is based on and extends Datalog. It's gaining a lot of traction in the past couple of years for evaluating authorization policies.
There's an indirect relationship between Rego and DDlog, at least people-wise. OPA comes from Styra, which was founded by Tim Hinrichs and Teemu Koponen. Teemu designed nlog, which is also a Datalog variant, for use in NVP, which was the network virtualization product at Nicira and was later renamed NSX after VMware acquired Nicira. Tim also worked with Teemu (and me) on NSX at VMware. And Teemu was one of the architects of OVN (the biggest open source application for DDlog), with Tim also having some influence. And Teemu also knows Leonid and Mihai (the principal authors of DDlog).
Some of the episodes of my OVS Orbit podcast may be relevant:
* Episode 5: nlog, with Teemu Koponen from Styra and Yusheng Wang from VMware (https://ovsorbit.org/#e5)
I wouldn't call it healthier due to the risk of avalanches and in my experience it's not negligible. It requires some complex skills of being able to both judge the terrain and act fast if something happens. And even then, accidents happen. How many people die annually on the slopes of ski resorts and how many die in avalanches while skiing?
Well, in this case, your decisions define "healthier". In fact, it's up to you whether you study the daily snow bulletin and decide to ski in moderate avalanche danger. It's up to you whether you ski down the steepest descents.
However when skiing in a resort, others can bump into you by accident. Your muscles cool down while sitting on the chair lift, and get tired at the end of the day without really noticing it, which leads to a number of accidents.
I've torn my ACL in a resort couple of years ago, and ski touring feels much safer - at least for me.
Avalanche training and equipment is necessary. The skills aren't really that complex, there are a few rules to follow that will save your life. I can't prove it but I believe most of the avalanche deaths are people with zero training who don't take the situation seriously. You can learn all the necessary skills in a single afternoon.
You can learn the (basic) skills in an afternoon, but being able to use those skills calmly, quickly, and safely in an emergency situation is a whole 'nother ball game. That requires practice, practice, and more practice (at least for me).
[1] https://www.euronews.com/my-europe/2024/08/12/beach-bar-sarc...