Overview of the problem

One of the key parts of the design of my search engine is the ability for the spiders to send the pages which they have explored to a central point. Additionally, a more conventional design might use a push/pull system, so the conductor polls each spider in turn and requests the pages which it has seen using pagination. This has several problems.

As, I mentioned in my last post . I’ve been busy building my search engine lately, and it’s been a lot of fun diving deep into Kubernetes and learning how to set everything up from scratch.

Overview of the System

I have been programming earnestly for about 8 years and professionally for 5 years. I have experience in front-end development, back-end development, and data science. My path is fairly traditional, considering I initially learned by myself and then continued my education as part of my undergraduate studies and during my placement year.

1. Start with Python. Regardless of whether you plan on learning front-end, back-end, or data science, Python will help you grasp the fundamentals without getting bogged down in syntax, which is something I struggled with initially. While syntax is important, it can be a barrier for many people. I started with Java, which wasn’t a horrible idea, but I spent a lot of time learning higher-level concepts like OOP that were only useful much later on.
2. Start creating things as soon as possible. There can be a temptation to watch YouTube videos, follow guides, and copy and paste the results, but this often gives a false sense of learning. When it came to tasks outside the domain of these guides, I struggled. Instead, look up how to do the specific subtasks needed but not the entire project. Learning a language is similar: knowing words and syntax is important, but knowing how they fit together leads to fluency. Example projects to start with include a diary application, a to-do list, and Hangman. All of these are CLI utilities, so you won’t get bogged down in display methods.
3. Learn how to read documentation. It might sound trivial, but being able to read and fully understand documentation without examples is a key skill that will be invaluable in the future.
4. Start reviewing other code and look at how projects are structured, particularly on GitHub.
5. Experiment with other areas of programming. For example, if you are interested in making websites, try learning JavaScript or TypeScript. If you are interested in making applications, try using Tkinter. If you are into making games, consider looking at Godot.

It’s important to have fun while learning. If you don’t enjoy the learning process, you might find programming hard to enjoy. Learning new skills is a massive part of programming, and it’s a constant journey of learning from others.

Over the past few weeks I have been making a webcralwer. I wanted to do it as way to get better at Go with useful for learnings for Graph databases as well as being fun. The project made use of cloud native items such as AWS SQS, DynamoDB and optionally Neptune which could be swapped out for Neo4j.

What is a webcrawler?

A webcrawler or web spider is a program which visits a website, and fetches all of the links on that site and then visits them. This is how sites like Google/Bing/DuckDuckGo get the pages to populate when searching.