Tagged: Free and Open Source
A simple HTTP server serves static HTML, Javascript, CSS, Images, etc. Sometimes you need a bit of dynamic content from the server-side. There are simple microframeworks to mega frameworks to achieve this. You could use any of these available web frameworks on the server side. But let’s say you don’t have access to any of those frameworks, and you want it to be simple and lightweight. You could try CGI.
Or you are just a web geek and want to spend an hour on old but interesting technology.
I often try to use Docker with my Digdag workflows. That way, we can keep the dependencies clean and separate for each DAG. I have blogged about it in detail before. Now instead of Docker, I can use Podman, by just making one small change.
I like to use the same stack again and again. It makes me productive, makes code less buggy, and builds knowledge over time. Unless there is a real need like unmaintained software or a different kind of application or unless I am going to build a Facebook or Google, I rarely change things in this stack. Even if I am going to build Facebook, I would start here and then adjust as it grows, just like Facebook did with it’s stack.
To test SMTP integration, you can either send emails using the production SMTP or you can run a test SMTP server just for testing. But its not easy for every developer in your team to do that or make it part of your CI/CD. This is where Fake or Mock SMTP servers play a role. They can run on a developers machine and expose an SMTP endpoint to connect and send test emails. They usually have web access to view the test emails to check formatting etc, manually. Some of them also expose a web API to retrieve the content for CI/CD integration. Here are some of my favorite mock SMTP servers.
f you are in the Python world (or not), you probably are using dbcli/pgcli for accessing the Postgres database. pgcli is Postgres CLI with autocompletion and syntax highlighting. Similarly, there are CLIs for MySQL, SQLite, Redis, etc. If you are in the mood to explore other CLI tools, you can trey SQLLine. It’s one CLI for many RDBMS.
I love SQL. There is nothing like playing with the data once you know it. I give it all the respect a programming language deserves. I store it in files as .sql files, add them git, use configuration to set schema name, etc. I use quite a few tools to deal with SQL (and databases). Here are my most used.
