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False. Most AWS services are implementations of open source solutions. Once you implement it yourself on Linux, the ongoing cost drops. With AWS you pay more the larger you get.



> Most AWS services are implementations of open source solutions.

This is fundamentally not understanding what AWS is.

- You could say "EC2 is just Xen". But next time there is a 0-day exploit, I'll have AWS working all weekend to patch my servers. And Xen still doesn't have an API for scaling physical hardware..

- You could say "S3 is just Apache". But I will never see a "disk full" message, I will never get paged if something is borked (but it will still get fixed), I will never worry about DDOS attacks, etc.

> Once you implement it yourself on Linux, the ongoing cost drops.

That's like saying "it's cheaper if you change your own oil". Might be true, but doesn't matter. I'm still taking my car in. Lots of other people do. You might try asking them why.


Some services are unique. EMR and RDS are not. Others are not.

Outsource if you want. When your bill hits $500k/mo and you realize you're paying for things you can do yourself, your position may change.

Have you been through an AWS outage and been paged? It happens. When you realize your business depends on an opaque organization you may want to diversify.

If you're small it makes sense to outsource sometimes. Not always and not forever.


I am especially curious to see that 'cheaper if you do it' done for their databases offers.

I'm using them in prod already, and trying to create a similar setup on real hardware for enterprise customers using pg, pgpool2 and haproxy is already a pain, and yet you couldn't autorecover them as conveniently when they go belly up.


What? Implement RDS/SQS/Redshift myself? That is not easy, believe me.


It's not easy, but also not every difficult. The company I work for has two Dev Ops (only one until a year ago) and runs on AWS serving millions of users.

We are using MySQL RDS, but are migrating to self-managed Cassandra. We use RabbitMQ instead of SQS. We use Hive/Presto instead of Redshift.


You sure can adapt the open-sourced solution, though I don't think Cassandra/Presto can match up to what RDS/Redshift can offer.

The key point is, running those things yourself, you are likely to lose all the nice failover mechanisms/monitoring/auto-snapshotting stuff that AWS offers. To live up to that, it will require you to not only have extensive understanding of the software you are running, but also a considerable amount of your time will be dedicated to Ops side, which can lead to some really big frustration from time to time. In that sense, I don't think you can re-IMPLEMENT something by assuming too much of comprises.


Cassandra in particular doesn't compete with RDS as much as DynamoDB and, respectfully, setting up failover and monitoring and autosnapshotting isn't actually that difficult. I'm a big fan of outsourcing that stuff--the new system I'm building uses AWS Lambda, for example--but when using a managed solution requires compromising on features or tying yourself into knots to make things work, hosting your own is doable, especially in the age of devops. Automation is your friend!


It is very difficult to run it at AWS's scalability, reliability, security and automation level. These all cost money and/or time. Not all companies require these features to the same extent, of course, so AWS is not always the right choice, but it isn't always the wrong choice either.




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