mstump

I attempted to handle some of what you're suggesting via the plugin ecosystem utilizing a vector database for RAG, and LLMs to auto-suggest tags or related docs. None of the plugins seem to get this quite right. The extensions were pretty brittle, and limited in terms of what they could do with the open doc. I now do most of my new note creation/editing and organization through cursor and custom built agent flows. The obsidian app is now just for mobile access and sync.

Cursor is better suited for enterprise. You get centralized stats and configuration management. Managers are pushed for AI uptake, productivity and quality metrics. Cursor provides them.

Doesn’t hurt. Be prepared for resistance though. The steroid taboo means there are very few doctors in the US that are both experienced and comfortable prescribing.

I saw massive results at 1ml per month, try pitching that. The dose is so low it rules out abuse and lowers the possibility of side effects.

Agree. Also testosterone. I was lucky enough to have lab work before and after getting covid twice. My T numbers halved in less than a year. I was still within the “normal range” so it took some arguing with the doctors to get a prescription for a very low dose. Within 24 hours of starting, I felt like myself again. Brain fog was gone, energy was back, my mood rebounded. No negative side effects thus far. I had tried a lot prior to starting: intense therapy, ketamine, lots of exercise, losing weight, supplementation, lots of lab work. Nothing was as impactful as getting that jab.

Side note: the normal range for T is so wide that it’s meaningless.

Agreed. Go on paternity leave, it'll provide some distance and maybe some time to interview.

F1 isn’t even about max performance, it’s about trying to maintain an element of driver skill as a factor of outcomes. It’s why they outlawed the Williams continuously variable transmission (CVT). A lot in F1 is done to maintain the suspense/excitement of a race for the TV audience.

This is sort of highlighted by other comments, but GC is only good at small quick requests. If you're dealing with large or slow requests it results in large or long lived allocations which causes havoc with GC. This is true for any generational GC, Java included.

Also node will only perform well if that IO is offloaded to the kernel or CPP code and behind a future via epoll etc... If it's in the actual node runtime it'll perform poorly because it'll block the thread.

I call B.S.. He's conflating two things. One is a deployment infrastructure, another is an application pattern. I can deploy a monolith in k8s and I can deploy micro-services on a single server or a fleet of on-prem servers using any of the legacy dev-ops deployment automation tools. Sure k8s makes doing micro-services easier because it’s got a lot of the raw building blocks necessary to handle the CD process but in no way are the two concepts related. They’re tackling different problems. He's making the same mistake that he's criticizing others for by equating the two. What he is really describing is an organization doing a “big bang” refactor with poor planning and execution.

I'm surprised that nobody mentioned that find/replace doesn't work for notebooks in VSCode. It's by far my biggest annoyance.

https://github.com/microsoft/vscode-python/issues/7903

I was an engineer at PGP from 2004-2011 and ended up running the server team as lead engineer. I wouldn't disagree with most of the points brought up by the author, both the code base and standard has accreted over time and it's incredibly complex. There were only a couple of people on the team that really understood all the facets of either the OpenPGP or SMIME/x509 standards. It's made worse in that it was a hack on top of another system that had accreted over time (email) and that system was never intended to be secure. We had massive database of malformed or non-compliant emails from every email client since the beginning of time. The sub-packets that the author mentions were primarily used for dealing with forwarded chains of encrypted email messages where each previous message had it's own embedded mime-encoded encrypted/signed messages and attachments.

The problem is that no-one else has gone through the process of establishing a community/standard that's capable of replacing it. Each system has built their own inoperable walled garden that doesn't work with anyone else, and none of them have a user base large enough to make encryption easy and pervasive.

My own secret hope is that Apple is forced to open iMessage as a part of an anti-trust action and that acts as a catalyst for interoperability.

We’re doing something probably not to far from what you were doing. Want to talk? Mstump@vorstella.com

How does the tracing API differ from the open tracing APIs? Pros/cons as compared to that standardization effort?

I wouldn't say it's super common. Of the 20-30 founders that I know well I'm the only one I'm aware of that has a nuvigil prescription. I take it because I'm a single parent of young kids and do a lot of international business; my sleep schedule is pretty screwed. I'll use it to combat a sleeping med in the AM and attempt to get back on a normal schedule.

Adderall is pretty common, but they usually take it for ADD or depression. When I see Adderall get "abused" it's usually people using it before going out drinking and not necessarily for work purposes.

SEEKING FREELANCER - Kubernetes, GoLang, Infrastructure, Dev-Ops, Docker

Infrastructure automation and AI company, seeking go and infrastructure engineers to work on our deployment, metrics pipelines and NOC infrastructure. You'd be working on some of the largest no-sql deployments in the world (>10s of thousands of servers). Must be able to pass background check.

contact@vorstella.com

Configuration comes from the environment. We store the configuration per cluster in a centralized store (C*, etcd, SimpleDB). We bake images that contain everything else.

Depending on the customer and the tech involved we'll do blue-green by doing a controlled rolling push of the config or image after it makes it through the dev/test cycle. Also depending on the type of tech we'll store actual data on network or host volumes.

Individually I charge several orders of magnitude greater than what you're quoting. I'll advise and design, do deep troubleshooting etc.. Consultants that work for me (I'm the CEO) or a large SI will do the implementation.

Very large companies, mostly banks, retailers and telecom. Some industrial IoT and a couple governments.

I do a mix of pure consulting but also managed services. I typically have a 12 hour SLA for issues, and 1 hour SLA for some customers. 24/7 support for mission critical, revenue generating systems. So no, I'm not just a talking head. It's usually me in the NOC on the hook in case things go wrong. I'm the world expert in this field, if you want things to work at scale people call me.

It's a mix. I'm a consultant that specializes in large scale distributed systems. I have some customers that have >100k production database nodes. I manage probably >50PB of data. I have designed large distributed systems for more than 100 customers.

Some systems cope with failure better than others. Everything you've said is also true of DB running on top of a uniform linux stack. From my experience (500+ large scale production deployments) this doesn't happen very often.

Does it solve all problems? No. Does it make the world a little better and is it better than monolithic single points of failure? Yes.

Part of the problem is that you're using databases that can't cope with failure. In large scale production systems things fail all the time. If you've got tech that can cope with failure it's not an issue.

Additionally, Docker is pretty handy when you're attempting to manage clusters consisting of thousands of nodes. In that instance enforcing best practices, automating workflows, scaling teams, auditing and preventing configuration drift are much bigger problems than a single server failing.

I've been running a couple of petabytes in production with Docker and Cassandra for a couple years (around 2k nodes). I've rarely seen FS corruption, however I must qualify that this is on bare metal. They could be running into issues with the interaction with EBS? This is more of a screed than an argument backed by specific details and facts.

I think so. It looks like it's compatible with any tinkerpop graph database.

Aurelius the team behind Titian DB has reimplemented the Tinkerpop graph engine on top of Cassandra. The goal is to scale to billions of edges and vertices.

The following comment is incorrect.

"Unlike Cassandra, Kudu implements the Raft consensus algorithm to ensure full consistency between replicas"

Cassandra does offer transactional consistency in the form of PAXOS that achieves the same goal. Additionally PAXOS or RAFT based consistency models aren't really necessary if you're willing to accept out of order processing and adopt idempotent data models; you only need quorum based consistency.

I'm curious to see what your throughput was in TX/s not just bytes/s in order to get a more apples to apples comparison.

To be snide, maybe they should, I am an expert in this topic this is what I do all day every day.

They're doing development without understanding how computers work, where the bottlenecks are, or what the maximum theoretical throughput for the use-case is. They ended up with something slightly better than the horrible situation they were in, and are celebrating a inefficient solution as a technical triumph.

No, it is just pass through, they just did a crappy job of handling concurrency.

It's just pass through. The limit in this instance is probably packets per second of the legacy AWS network. Why is this difficult?

16k requests per second isn't fast.

I talked to the authors, they ran into the same issue. They just kill the network instead.