parsemail VS microprocessor-trend-data

It's a pain in the ass right now. Original I come up with the domain hanami.run because I explained here https://www.youtube.com/watch?v=O1p2crPpFIc I feel like wind blow flowers where Hanami blow out emails.

I run an email forwarding services (https://hanami.run if you want to check it out) and I can share some info:

I found https://hanami.run (soon to be mailwip.com due to name conflict with hanamirb.org) to setup email forwarding and a simple blog platform by "email to post" and webhook.

Use it you can consolidate emails from multiple domains to forward to the same inbox. And you can add webhook/slack notification too.

You can look into mine (https://hanami.run) very fast to sign up and have a few cool features about webhook or smtp.

Also, improvmx.com is a great product as well.

If you like open source, https://maddy.email/ is a single binary deployment that can handle everything even IMAP.

https://mailcow.github.io/mailcow-dockerized-docs/ is a dockerize solution with super detail document as well.

If you want to compete with the big players, you have to solve the most important pain point and work upward from that small use base.

My case: I work on https://hanami.run (will soon move to https://mailwip.com due to hanamirb.org conflict) and email forwarding is very competitive. Big and old players are all over the place because at the end of day, setting up email forwarding isn't hard and many open source project did it, heck you can spin up AWS lambda for incoming email in no time.

The pain point is: email will drop sometime, time to time no matter how good an email forwarding service is because they have to scan spam, have false positive, or because of strict DMARC/SPF rule. And I have no tools available to help me out there. So I focus strongly on my maillog features with many level of privacy:

- no log at all

- docker-compose to spin up everything. It's super nice. Again, the deployment is done with a `rsync` then `docker-compose up -f docker-compose-prod.yml`

Eventually when deployment changes very frequent and need scale/ha I added in Kubernetes. K8S is way easiser to setup than you think and it handle all other suff(load balancer, environment variable etc).

And my deploy now become: `kubectl apply -f`

One trick I used is to use `sed` or `envsubst` to replace the image hash.

For backedup, I again, literally setup cronjob from an external server, `ssh` into database and run `pgdump`.

I also have a nice NFS server to centralize config and sync back to our git repo.

I used this whole setup to operate https://hanami.run an email forwarding service for the first 3 months before I added Kubernetes.

So I want to share a story about user asking for a feature then not using it.

I run an email forwarding services(https://hanami.run) basically you add your domains in and add some records.

We had this one heavy users who has like hundreds of domains. So our UI isn't design for that. Who has hundreds of domains? So they approach and asked us for a way to organize those domains into a hierarchy structure.

All good.

They are paid our highest tier ($30 per month) so we prioritize the requests and work on it.

2 days later that same user downgrade to the lowest plan and delete all of their hundred of domains...

That complicated features remain unused to nowadays...

I used hanami.run and they support that. A catch-all then an explicitly deny rule to disable certain address.

Wix doesn't have built-in email forwarding but you can use any email forwarding service. Look into hanami.run and simply follow their onboarding process to add your MX record. https://hanami.run/docs/configure_dns#mx

And the creator of that graph has updated it: https://github.com/karlrupp/microprocessor-trend-data

I'm not familiar with how Battlefield servers are run, but I’m going to assume they are single-core processes. That’s what most game servers I’m familiar are, anyways. Two of the most important attributes of a CPU are its clock rate (the number of clock cycles per second, which is a measurement of how quickly one core can execute instructions) and its thread count (i.e. how many different processes can be executing on the CPU at the exact same time). Over the past decade, CPUs haven't gotten much faster in terms of clock rate. Instead, they've been optimized to add more cores, so that the CPU can do more tasks at once. This means that game servers haven’t been able to fully enjoy most of the improvements to CPU performance over the past decade. More on this here. This isn’t to say single core processes have been completely left behind – advances in instruction-level parallelism such as AVX 512 can certainly benefit game servers if they are leveraged correctly.

Hard to say it's still "exponential"...what do you think the current constant doubling period is now?

Here's the single thread raw data from that repo. If you take into account clock speed increase (which, as you agree, have plateaued) we're looking at maybe a 2x increase in instructions per clock for conventional int (not vectorized) workloads.

Is there even another 2x IPC increase possible? At any time scale?

https://github.com/karlrupp/microprocessor-trend-data/blob/m...