[weatherlight]

Elixir/BEAM's (Erlang Virtual machine) frugality isn't just theoretical; it's got real-world creds. Originally tailored/optimized for 1980s telecom switches (a fleet of single core extremely low powered machines.) Fast forward, and you've got a setup that's less demanding on your A/C and optimizes multi-core usage like a champ. it utilizes the same concurrency abstractions whether its 2 cores across two machines or 64 cores on the same machine, it makes no difference to the BEAM

Take the hot code reloading and actor model-based concurrency as a prime example. It's like getting AWS-level functionality without the steep bill for a lot of companies.

Though, I gotta admit, it used to be a hard sell for CPU-heavy workloads, especially number crunching. But Elixir is stepping it up with their Nx library, so that's changing.

Examples of companies cashing in on BEAM's efficiency:

    Bleacher Report: Went from 150 servers down to 5. No joke.

    Discord: Handles millions of real-time users without breaking a sweat or the bank.

    Financial Times: Their content recommendation engine got both efficient and cost-effective.

    Change.org: More petitions, fewer servers.

    Podium: A million SMS messages a day and didn't have to massively scale hardware.

[twelve40]

> a fleet of single core low, extremely powered machines.

what are "extremely powered machines"?

> It's like getting AWS-level functionality without the steep bill

which part of AWS functionality? load-balancing Beanstalk-style is free. AWS compute is not free, but neither is compute free with Elixir or whatever stack you run.

[weatherlight]

Totally get your point about AWS having free-tier services and compute never being free, regardless of the stack. My point wasn't that BEAM offers free compute, but rather that its inherent features can sometimes make certain AWS services redundant. For instance, Elixir has built-in fault tolerance with its actor model and supervision trees. This means that even when a process fails, it gets rebooted automatically without messing up other processes—kind of like what you'd use Auto Scaling and backup services for on AWS.

Similarly, distributed Erlang allows Elixir to run across multiple nodes. This could cut down the need for extra AWS instances or orchestration layers like Elastic Beanstalk. And when it comes to deployments, Elixir's hot code swapping can simplify what might otherwise require rolling updates or blue-green deployments with Elastic Load Balancers in the AWS ecosystem.

On the concurrency front, Elixir is designed for handling a high number of users and tasks simultaneously, which might reduce your reliance on EC2 or Lambda. Phoenix, Elixir's web framework, even has real-time capabilities baked in, so you don't need extra services like AWS WebSockets for that.

Finally, Elixir's actor model can serve as an in-memory message queue, which could potentially negate the need for something like AWS's SQS. So, while you're still incurring compute costs, the need for additional AWS services could be lessened, thereby simplifying your architecture and perhaps lowering overall costs.

[weatherlight]

sorry i meant (low powered*) typo