In the ever-evolving landscape of e-commerce, integrating intelligent systems has become not just an advantage but a necessity. This is where OpenAI comes into play within a microservices architecture. Let’s delve into a system blueprint and see how OpenAI enriches the e-commerce ecosystem.Continue reading Integrating OpenAI into E-commerce: A Microservices Approach
What is a Resilience Framework?
Polly is classed as a resilience framework. A resilience framework is a set of libraries that help an application to recover from transient or more extended failures in services or infrastructure upon which it depends. When recovery is not possible, the resilience framework will facilitate graceful degradation of your application.
Polly has been around for many years and has been tried and tested in many applications
The source code for Polly can be found on GitHub here:Continue reading Fault tolerance using Polly
I’ve been using an Event Bus for some time now in the designs of a system, for reason of performance and scalability. There is also an issue with the message size. But it would be best if you were using the Event Bus as a messaging system, not a data transport mechanism.
There is a solution to this, and it is the claim-check pattern.Continue reading Claim-Check Pattern
Microservices is a trending topic among software engineers today, why is this? In this post, I’ll endeavour to take the mystery and explain things in plain English so you can build genuinely modular, business agile IT systems with Microservices architectural style.
The goal of microservices is to increase the velocity of application releases, by decomposing the application into small autonomous services that can be deployed independently.Continue reading Microservices
What Is Multi-Tenancy?
“Software Multitenancy refers to a software architecture in which a single instance of a software runs on a server and serves multiple tenants. A tenant is a group of users who share common access with specific privileges to the software instance. With a multitenant architecture, a software application is designed to provide every tenant a dedicated share of the instance including its data, configuration, user management, tenant individual functionality and non-functional properties. Multitenancy contrasts with multi-instance architectures, where separate software instances operate on behalf of different tenants” (Wikipedia)Continue reading Multi-Tenancy
How can application A, handle events sent by an application B, and how to implements those events in B? Knowing that B has no idea of the existence of A.
Continue reading How to handle Events between Applications
When solving a complex problem, it’s sometimes very tempting to choose an excellent solution. Not only will this solve the problem – but it will also impress your teammates and bring you everlasting glory.
An even better solution, however, would probably be a boring one. One that is easy to understand, even for your junior colleagues. One that is well-known for your platform and language. One that is entirely not extraordinary.
Using such a tedious solution means that you’re using simple vocabulary, which significantly increases the chances of everybody understanding you. This will make it a lot easier for everybody to follow along – including new team members (and yourself, a couple of weeks after you’ve written that code).
“Keep it simple, stupid” should remind us that the simple solution will always beat the overengineered solution. The reasons why this is true are almost endless. And they might be easier to understand when looking at the opposite: complex code.
- Complex code is a perfect hiding place for mistakes.
- Complex code is hard to understand, for your coworkers and yourself.
- Complex code cannot easily be extended.
- Complex code cannot be reused. And, last but certainly not least, writing complex code will cause your teammates to brand you as an outlaw.When a more straightforward solution seems sufficient right now, you should always aim for it.
“Writing complex code will cause your teammates to brand you as an outlaw.”
When you realise that your solution isn’t essential at all, you should drop it. This is what YAGNI is about – “You ain’t gonna need it” reminds us to stay modest when planning the volume and scope of our implementations. Will users need this feature? Will they need this option within a feature? These questions, of course, will translate to our code: will we need that class/ module/routine?
Thank God for StackOverflow.com. I seriously can’t imagine my (programming) life without it. And with it being one of the most visited sites on the web, I guess I’m not alone.
There’s a long friendship between Stack Overflow and me. It helped me countless times when I was stuck on a problem. It gave me an idea of how other people had approached the same problem. Sometimes these other people helped me solve my problem. Sometimes they gave me a hint for a possible solution. And sometimes reading their issues at least let me know that I wasn’t alone with a miserable bug…
After hours or even days of searching and trying different things, your shields are down. You are crawling through your code on all fours like a man who’s lost in the desert. But all of a sudden your search is fruitful! Eureka! Searching Stack Overflow has finally yielded a piece of code that works!
That’s when you have to watch out and resist the temptation to take code that works for the system that’s good. What you’ve found on Stack Overflow is – in all but the rarest cases – not a solution but rather a clue. It can certainly make for a great pointer, but it was not written with your exact problem/ requirements/ constraints/codebase/application in mind. And sometimes, it might just be a dirty hack.
Embrace Stack Overflow as a good source of guidance for specific problems. But also take the time to thoroughly and honestly evaluate if you’ve found a real, reliable solution.
Sometimes, a solution is so beautiful, and you wish you had the right problem to apply it to. But unfortunately, issues come first. As impressive as your new screwdriver may be (imagine a handle made of gold, with your initials engraved, of course, if the problem at hand is to knock in a nail, it makes for only a less than perfect solution.
Now, after teaching you all I know about manual craft, let’s return to software development – and consider “design patterns” as your toolbox. Every design pattern you know (and understand) is an instrument in your toolbox. It’s certainly great to have many of them!
The problems start, however, as soon as you let the patterns dictate your coding. They should be there to support you, to propose a proven solution – for the right problem! Programming paradigms should be used where they fit and not be enforced. Your components should be designed with your application’s requirements in mind – not with a beautiful design pattern.
In cases where you’ve indeed found a helpful pattern for your current problem, there’s only one more thing: be sure to understand the pattern and its consequences on your coding.