Kelly Sommers @kellabyte
Backend brat, big data, distributed diva. Relentless learner. Voids warranties. BitEarther. World isn’t round or a flat plane, it’s a simulation on a flat file Canada Joined June 2009-
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I felt this pain over and over again in the 3+ years I spent writing Rust. It was distracting, stressful, and just plain demoralizing when I was trying to iterate on a new idea. Fighting things not related to the issue at hand. loglog.games/blog/leaving-r…
I had an ambitious goal at the start of last year--demonstrate fearless concurrency in C++. Now it's working. This is one of the coolest things in language design. No data races to shared state--statically guaranteed. shared_ptr<mutex<T>> in C++ is Arc<Mutex<T>> in Rust.
This is a fascinating spot in the trade-off space of commit algorithms. It's less fault tolerant than 2PC-over-Paxos (needs to wait for reconfiguration to make progress after even one failure), but saves a whole round-trip in the deal.
This is a fascinating spot in the trade-off space of commit algorithms. It's less fault tolerant than 2PC-over-Paxos (needs to wait for reconfiguration to make progress after even one failure), but saves a whole round-trip in the deal.
I’m curious, in data pipelines how are folks validating correctness after? I know some orgs run validations. Aren’t you just going to write the same query in the validation test and the data pipeline? If you have the same query in both what is the value?
These girls 9 years ago vs now youtu.be/PDFH9AcPpyA?si… That last riff is NASTY. They dropped a video about an eclipse on the week of a 18 year total eclipse cycle.
With all the rumours of Windows adding ads to the start menu, I hope someone sane grows a set of balls to stand up and halt that effort & realize the last thing the struggling Windows brand needs is for mass consumer outrage that will lose more $ than the ads make.
I can’t think of a worse use case of AI than this one.
These 3 young sisters from Mexico in @TheWarningBand2 are fucking fire. The emotions captured in the last minute of this song is special. youtu.be/s6b_FgQnXL8?si…
We can scale 1mill consistent transactions like never before. We can aggregate 1bill rows in 50ms like never before. These are a few examples of things that break my brain and challenge my thoughts about systems design. Is a cluster easier to run or smaller async workflow?
Once you learn consistency doesn’t need to be strictly linearizable across an entire data store across all tenants all records (this is silly for 99.99999999% of use cases) you start to see systems design differently. I honestly can’t believe I fell for this scam back then.
Where DDD/CQRS/Event Sourcing community REALLY lost me was the common pushed notion so many reads are eventually consistent but event sourcing isn’t done right unless you use an event store that provides strict linearizable guarantees. The world runs on read committed tho.
Imposter syndrome has become really bad for me. The more senior I get the more nervous I am to share my inner conflicts around systems design. If there was 1 thing I tried to do on Twitter besides make people laugh it was to debate and learn in public. I want to bring that back
When I started listening to my mentors & orienting my knowledge around computing more than religious books & religious communities pushing ways to build sw my career took off. I still struggle with the sync async tradeoffs at times. Sometimes you can scale sync. But should you?
One of the primary reasons I started to separate myself from the DDD CQRS/Event Sourcing communities wasn’t because I fundamentally disagreed biz modelling is a fine art, it’s because there was too much cult driven architecture around asynchrony. So little sound computing IMO
There’s so much cult about asynchrony even in localized code not just distributed systems. Too much async and CPU cache invalidations go through the roof, prefetching and branch predictions suffer too I assume and performance shits the bed.
Now I know there’s a lot of flaws in these truncated half baked tweets. Like yeah a replication is another form of an asynchronous queue. But it gets the job done faster. Also with the rise of scalable transactions it challenges my mind what and where asynchronous should exist.
It’s a LOT faster to replicate the row and batch update aggregations in a data store that excels at batch updates than to enqueue a background job in a database that’s slow at batch updates and aggregations. The user has a much higher chance of a perceived instantaneous result
But if you make many of these decisions now your user experience is junk because so much of your experience is stale. But distributed systems must accept staleness they say! But the web is a big cache anyways they say!
So when I see an architect placing a queue for anything that seems slow I wonder many things. Think of a simple user experience where a user checks a flag and a report representing a large number of rows changes. This could be a BG job!
David Fowler @davidfowl
131K Followers 1K Following Distinguished Engineer at Microsoft on .NET, Creator of NuGet, SignalR and https://t.co/PiydKAsC8g Core, Barbadian 🇧🇧, Tennis Player, Father, other half @symonefowler
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51K Followers 302 Following Software engineer @Decodableco · Ex-lead of Debezium · Spec lead of Bean Validation 2.0 · Creator of JfrUnit, kcctl and MapStruct · Java Champion · 🚴
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14K Followers 2K Following The open data movement platform. Move data from any (un)structured sources to any (vector) DB and warehouses! Take our code 🌟 https://t.co/qT1xJ2yOhk
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1K Followers 287 Following Partner research manager in the data systems group at Microsoft Research. Interests: storage, streaming, analytics, key-value stores, ML for systems.I felt this pain over and over again in the 3+ years I spent writing Rust. It was distracting, stressful, and just plain demoralizing when I was trying to iterate on a new idea. Fighting things not related to the issue at hand. loglog.games/blog/leaving-r…
@kellabyte This is hugely under-addressed in practice (in my experience). My own approach to avoid the same queries is to look for invariants that will be preserved through processing. For instance, if you are accumulating views by page, the total number of views should be preserved. 🧵
@kellabyte You can probably compute the total number of views by a separate channel with a separate mechanism. The totals will not match until you really think through issues of time and definitions. But there is lots more you can do. 2/2
@kellabyte A separate approach that I have used is to mark some actions on the front end and run processing on them separately. You can pick the marked subset to be small enough to be able to follow every step in absolutely detail. This exposes lots of errors.
I had an ambitious goal at the start of last year--demonstrate fearless concurrency in C++. Now it's working. This is one of the coolest things in language design. No data races to shared state--statically guaranteed. shared_ptr<mutex<T>> in C++ is Arc<Mutex<T>> in Rust.
Linearizability: single object property Serializability: multiple object property
This is a fascinating spot in the trade-off space of commit algorithms. It's less fault tolerant than 2PC-over-Paxos (needs to wait for reconfiguration to make progress after even one failure), but saves a whole round-trip in the deal.
Wait… what!? Fault tolerant 2PC that is simple and commits in 1RTT? 🤯 If you missed @ChrisJe34211511 fantastic talk in #eurosys24 (#papoc24) definitely check the paper bit.ly/U2PCp
@kellabyte Check that the data makes sense with tools like github.com/awslabs/deequ And sample data to query back on the origin (for data in landing zone)
@kellabyte I do this at SpaceX, and we basically use integration or e2e tests (we also call both of these “functional tests”), and we do call out when you are testing the wrong thing.
@kellabyte So glad to see someone trying to articulate these points! I've always been against the Event Sourcing philosophy. They went from "not everything can be sync" to "make everything async *and* idempotent, and append-only, and immutable..." w/o considering the huge risks involved.
@kellabyte This is the core insight that allowed us to build the MapR file system.
@kellabyte Your inner conflicts around systems design are a major part of your value proposition. You should consider them to be a super power. We need a lot more people who are skeptical about the status quo in software.
@kellabyte It's the basic problem with async in the first place - it's contagious journal.stuffwithstuff.com/2015/02/01/wha…
@kellabyte Please do! I love those threads of yours
@kellabyte what do you think about this issue with running Lua scripts in Redis? I feel like it's a kind of misleading in Redis’ docs on the meaning of “atomic execution”. joaojunior.org/posts/lua-scri…
@kellabyte I completely and totally hear you. I had the same experience. Ugh. I miss you though. And our TDD. 😉 Actually, in my new role, my TDD looks like this…
Tequila tasting. This is the difficult part of our job as store owners. 😂🤣
@kellabyte @FransBouma @hhariri The assumptions you make, you being aware of them and making them explicit, the questions you raise, the experiments you suggest. That's the valuable stuff.
@kellabyte @FransBouma @hhariri An expert can know something, or maybe not. Same expert can arrive at a wrong conclusion, too. For me, the seniority & quality of thinking lie in how that expert arrived at that conclusion.
@FransBouma @kellabyte Sure. But it's also a matter of people chipping away at your confidence in many different ways that contribute.
@kellabyte I'm a senior and I've never had imposter syndrome. I never showed up to a meeting without knowing the topic well. I suspect that many people with imposter syndrome are just too honest and dont know how many fakers are out there.
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