Why scaling organizations is so difficult?

Why scaling organizations is so difficult?

There's plenty of hard topics in building software, but if you asked me what's the most challenging one, I'd answer without doubt: scaling (engineering) organizations. Why so? first of all: economies of scale do not work for building software (I've written an article about that few years ago, if you're interested in more details)the role of contextual knowledge is more important than in other industries (people/roles are not so easily replaceable), so learning curve for new people is steeper & adaptation takes them more timeorganizations can grow much faster than the sharpest & most successful people within these…

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Platform Keepers, Container Herders - how we've started doing SRE

Platform Keepers, Container Herders - how we've started doing SRE

In this article you'll find out about modern Operations (& why DevOps ain't exactly the thing), what's missing in "you build it, you run it" paradigm, why there's a need for platform-caretaking team, what does it really mean - "SRE", how did we start building an SRE team & what did we struggle with.Ol' good daysIn old good days of computing (I mean - in my case it means 90s, 00s ;>), life was so easy ;P There were development people & there were maintenance people. There were programmers & there were admins + SysOps. They've rarely talked to each…

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Micromonoliths: scaling via sharding - part II

Micromonoliths: scaling via sharding - part II

In this post you'll find: how sharding can work (well) together with CQRS, what tricks can be used for re-partitiong data in live instances (w/o downtime) and why it's OK to use domain-related data in routing on API gateway This is the 2nd post in the series. The first post can be found here. Real life, hello? Let's consider 4 sample scenarios: SaaS HR system - used by various client-companies for their internal operations On-line marketplace - hundreds of vendors, hundreds of thousands of buyers Live-traffic map - geospatial data is collected from vehicles, anyone can watch (regardless of…

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Micromonoliths: scaling via sharding - part I

Micromonoliths: scaling via sharding - part I

In this post you'll find: micro-monolith neo-evangelism :), great (video) example of premature system distribution hitting the fan ..., demystifying of microservice independence myth and what are X-centric systems. I hate blog posts, books or conf talks that focus on criticising only - it's far easier to b*tch on something than propose an actual solution to non-trivial problems. That's why after my recent post (on why microservices may not be an optimal answer to all of your growth problems), I'd like to re-visit an architectural pattern almost as old as Computer Science in general, in fact, a very under-appreciated one ... Sharding.…

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Leviathans won't dance salsa

Leviathans won't dance salsa

It just won't, regardless of how hard you try to force him to do it. Nevertheless some still keep trying & IT seems to excel in that idea. Yes, that's another post about scaling in IT, but this time I'm not going to write about overgrown projects (I already did it here), but about overgrown products. The quest Companies spend zillions of local dibs on never-ending unifications, migrations, mergers, consolidations - the goal is to have: one, huge, universal (hell-of-a-)system instead of many one skill-set instead of many one, integrated data perspective on whole business etc. Grow, Grow, Grow.…

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The shortest scalability consideration ever.

I had a lot of scalability talks this week - vast majority of them were related to one huge piece of legacy application that’s about being heavily modernized (don’t ask about details, you really don’t wanna know). The most interesting thing about this app is that after the modernization it’s supposed to run on a different platform (than it was initially running on). The problem with the original platform (one of few) is that it’s not out-scalable (in other words - horizontally scalable) at all - one of the most…

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