Deploying a Squeak + Seaside web application to a Linux server in 3 easy steps

I am sure that most developers who have tried DabbleDB have experimented with the web framework Seaside that DabbleDB is built with. I have worked through Seaside tutorials several times in the last couple of years and last month I wanted to deploy a tiny Seaside based experiment to one of my leased Linux servers. It took a short while to get it deployed because I didn't get it right the first time, so here are the simple steps that I eventually used:
  • Get your Seaside application running interactively in Squeak; make sure the WAKom service is running on a desired port number with:
    WAKom startOn: 9090
    and save image and quit Squeak. Do not stop WAKom before saving your image and quitting Squeak.
  • ZIP up your image and source changes:
    zip -9 -r seaside_running_image.zip Squeak3.9-final-7067.*
    copy to your Linux server, and unzip in your Linux Squeak directory.
  • Run Squeak in headless mode:
    nohup squeak -headless Squeak3.9-final-7067.image &
OK, maybe that was more than 3 steps. If you should ever need to do a scalable deployment Ramon Leon's directions look good but I have not tried them.

Comments

Post a Comment

Popular posts from this blog

My Dad's work with Robert Oppenheimer and Edward Teller

Robert Oppenheimer and Edward Teller facilitated my Dad getting a professorship at UC Berkeley when I was 3 years old. Oppenheimer left Berkeley but Teller was a good friend of my father and I remember him being in our home. Three weeks ago, my wife and I were just leaving to see the new Oppenheimer movie when my Dad called. He mentioned that when I was in grade school he was invited to give a talk at Princeton. After his talk Oppenheimer talked with my Dad and invited him to have dinner at his house. My Dad said Oppenheimer was not well (I think he died of throat cancer soon afterwards) but his wife Kitty carried the conversation. My Dad, Ken Watson, passed away 10 days ago on August 18, 2023.
Read more

Time and Attention Fragmentation in Our Digital Lives

  As humans we have evolved over a few million years to be both attentive and reactive to danger, live in social communities, and spend much of our time being in the present moment gathering and eating food and socializing. The behavior of rapidly changing short attention to content on social media, too many good short form things to watch on streaming video entertainment platforms, are all rewiring our brains in an unnatural and unhealthy way. I fight back, but in really simple ways that entail little ceremony: Almost every morning I spend 30 minutes scanning Hacker News (about 10 minutes), Apple News (about 5 minutes), and the remaining time on Twitter and Mastodon finding interesting new (mostly tech) things. I make notes in a temporary Apple Note: links of things I may want to research, try, or simply read that day. I like to get this all done at once, and then not feel like I need to interrupt my activities during the day to “catch up” on what is happening in the world. In a w...
Read more

I am moving back to the Google platform, less excited by what Apple is offering

I have been been playing with the Apple Intelligence beta’s in iPadOS and macOS and while I like the direction Apple is heading I am getting more use from Google’s Gemini, both for general analysis of very large input contexts, as well as effective integration my content in Gmail, Google Calendar, and Google Docs. While I find the latest Pixel phone to be compelling, I will stick with Apple hardware since I don’t want to take the time to move my data and general workflow to a Pixel phone. The iPhone is the strongest lock-in that Apple has on me because of the time investment to change. The main reason I am feeling less interested in the Apple ecosystem and platform is that I believe that our present day work flows are intimately wrapped up with the effective use of LLMs, and it is crazy to limit oneself to just one or two vendors. I rely on running local models on Ollama, super fast APIs from Groq (I love Groq for running most of the better open weight models), and other APIs from Mist...
Read more