mstump

6 ms·

1.
by mstump 8mo ago
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 pre
2.
by mstump 9mo ago
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.
3.
by mstump 3y ago
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 l
4.
by mstump 3y ago
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 prescriptio
5.
by mstump 4y ago
Agreed. Go on paternity leave, it'll provide some distance and maybe some time to interview.
6.
by mstump 4y ago
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 suspens
7.
by mstump 4y ago
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 ge
8.
by mstump 7y ago
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 o
9.
by mstump 7y ago
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
10.
Modeling Distributed Systems: Conceptual Background and Metrics(medium.com)
3 points by mstump 7y ago|0 comments
11.
by mstump 7y ago
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 i
12.
by mstump 8y ago
We’re doing something probably not to far from what you were doing. Want to talk? Mstump@vorstella.com
13.
Autotuning Cassandra to Reduce Latencies(vorstella.com)
2 points by mstump 8y ago|0 comments
14.
by mstump 8y ago
How does the tracing API differ from the open tracing APIs? Pros/cons as compared to that standardization effort?
15.
by mstump 8y ago
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 internation
16.
by mstump 9y ago
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 wo
17.
by mstump 10y ago
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-gr
18.
by mstump 10y ago
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.
19.
by mstump 10y ago
Very large companies, mostly banks, retailers and telecom. Some industrial IoT and a couple governments.
20.
by mstump 10y ago
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 he
21.
by mstump 10y ago
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 fo
22.
by mstump 10y ago
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. Doe
23.
by mstump 10y ago
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,
24.
by mstump 10y ago
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 is
25.
An Argument for Stateful Services(vorstella.com)
1 points by mstump 10y ago|0 comments
26.
by mstump 10y ago
I think so. It looks like it's compatible with any tinkerpop graph database.
27.
by mstump 10y ago
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.
28.
DataStax layers graph database on top of Cassandra engine(siliconangle.com)
51 points by mstump 10y ago|3 comments
29.
by mstump 11y ago
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
30.
by mstump 11y ago
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

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