My lover and I travelled many miles, to a hotel that we would never actually spend the night in, because before the sky

Now that you know the basic concepts lets build an extremely simple diagram with code following the order that we learned these concepts. The example diagram that we will build is going to be a simple load balanced website on AWS that uses a PostgreSQL database, and a Redis cache so we can use more than one component provider.

For this example we will just group the load balanced web servers. In a good number of the diagrams I have created in the past this was not always necessary, but as your architecture grows grouping these nodes within clusters usually enhances readability.

I knew, even as I was speaking, that nothing I said was true or even made sense. But that didn’t matter. What mattered was that I was saying the words at all and that with every word I spat at him, I was ripping a jagged, vicious hole in the beautiful shell we had built over years together around our love, our shared life, our family.

In this final step we will not link the nodes that we have just arranged to be leveraged in our architecture. This task use to take me the longest when I needed to update or tweak an architecture. If you take a look below it is just a matter of defining the flow to each node with double arrows, and you are done! With this example we will just link the nodes without labels, but if you take a look at the documentation applying labels to your links is a pretty easy task.

SaaS — There is even a collection of SaaS nodes that one can use which comes in handy when you want to show that your architecture has notifications landing in something such as Slack.

I could feel my husband retreat, relent, and finally give up on me. We both slept, tearful and broken. In the morning, I got up late and said perfunctory goodbyes to my family, telling them perfunctory lies about where I was going. I could hardly be bothered to lie at all. I could hardly be bothered with anything. I just could not be bothered anymore.

Earlier this week I stumbled across a Python library with a pretty compelling value proposition. This library is called Diagrams, and as its namesake states it creates diagrams. These diagrams that are produced are generally what I would create by clumsily pasting images into draw.io or Google Diagrams after which I would wasting hours aligning everything correctly. In addition to that exhausting process when I later needed to update these diagrams needing to lift and shift more than half of the components just for a few changes to the architecture. After investigating library further I was able to see that it was able to alleviate this thorn in my side.

As you can see we no longer have a blank diagram. Each one of our nodes are pictured, and these are the “ingredients” for the architecture we want to build. The next steps will be to organize some of our nodes into logical groupings, and then link each of the nodes with edges.

There will come a day when your daughter, your sister, perhaps your own mother, brings home a man who is the worst version of yourself, the man you thought you’d never be.

The first requirement to get started with building some of these diagrams is having Python 3.6 or higher installed. Once this is the case you will need to install GraphViz as this is what renders the diagrams. The Github repository actually has a pretty decent “Getting Started” section as well so if you need help installing anything feel free to refer to that here. Which once you have installed the library “diagrams” with your favorite Python package manager you are ready to start creating.

Now that we have our workspace it’s time to add the nodes that we need for our website. The nodes we want to add come from two different providers. The AWS and OnPrem providers. Likely if you were doing this for real you would stick with AWS as they have offerings such as RDS, and ElastiCache that you likely would be using with that cloud provider.

AWS/GCP/Azure — These providers expose the official cloud service assets that you would be using for any diagram that leverages one of the main cloud providers. My team mostly works in GCP, and I would spend hours building these diagrams manually before stumbling across this library so I was a bit excited when I discovered I had these node assets at my fingertips.

Nothing I said was true. I was being so horribly unfair to him and I knew it, even as I said the words. I was lying, dredging up ridiculous arguments from absolutely nowhere, but I am good with words. I can choose them well when I am cornered. As I spoke I saw every single word hit its mark.

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h losing power, losing internet, and program crashes. If you are computing values like moving averages or RSI, or looking at candlestick patterns, you need to be very sure that your data is sequential and hasn’t had a break. If it does, your program could make bad calls. You need to save state, and check date stamps of data. If a break in data is found during the period of time you are computing indicators against, you need to pause execution until you have the full range of data that you are calculating against.

Generic and On-Premise — These nodes will likely be used together in the case that you want to illustrate the underlying technologies in a cloud agnostic way. For example supplying an architecture with a Beam component over display Google DataFlow.