Filtered by Tag (software-development)
If you have never been exposed to software system design challenges, you might be totally lost on even where to begin. Dive into this post to find out about what matters when it comes to software architecture and system design and how you can get your grip in this wide area of software engineering.
@ 02-23-2019
by Tugberk Ugurlu

If you have never been exposed to software software system design challenges, you might be totally lost on even where to begin. I believe in finding the limits to a certain extend first and then start getting your hands dirty. The way you can start this is by finding some interesting product or services (ideally you are a fan of), and learning about their implementations. You will be surprised that how simple they may look, they most probably involve great deal of complexity. Don’t forget: simple is usually complex and that’s OK™.

Photo by Isaac Smith on Unsplash

I believe the biggest suggestion I can give you while approaching to system design challenges is this: not to assume anything! You should pin down the facts and expectations from this system first. Some good questions to ask here are which will help you start this process:

  • What is the problem you are trying to solve? 
  • What is the the peak volume of users that will interact with your system?
  • What are the data write and read patterns going to be?
  • What are the expected failure cases, how do you plan to mitigate them?
  • What are the availability and consistency expectations?
  • Do you need to worry about any auditing, regulation aspects?
  • What type of sensitive data are you going to be storing?
These are just a questions few that have worked for me and the teams that I worked with over the years. Once you have answers to these questions (or any other which are relevant to the context you are in), then you should be starting to dive into the technical side of the problem.

Setting Your Baseline

What do I mean by the baseline here? Well, in this era of software development, most of the problems "can" be solved by already existing techniques and technologies. Knowing these to a certain extend will give you a head start when you are faced with similar problems. Remember, we are writing software to solve business' and our users' problems and the desire is to do that in a most straight-forward and simple way from a user experience point of view. Why do you need to remember this? It could well be your reality that you should solve problems in unique ways as you might be thinking "what's the point of me writing software then if I am here to follow a pattern?". The craft here is in the decision making process to define where to do what. Surely, we may have challenging, unique problems which we can face at certain times. However, if we have our baseline solid, we will surely know whether we should direct our efforts into finding out ways to solve the problems or further understand the depth of it.

I believe I have convinced you at this point now that having a solid knowledge on how some of the exciting systems are architecturally shaped is quite critical for you to progress on having some appreciation on the craft and a solid baseline.

OK, but where to start? Donne Martin has a GitHub repo called system-design-primer which helps you learn how to design large-scale systems and also prep for the system design interviews. Inside this, there is a section dedicated to real world architectures which also involves some system designs of well-known companies such as Twitter, Uber, etc.

However, before jumping into this, you might want to have some insights on what matters the most in the architectural challenges. This is important because there are A LOT of aspects involved in disambiguating a gnarly, ambiguous problem and solving it within the guidelines of a defined system. Jackson Gabbard, an ex-Facebook employee, has a 50 mins video on system design interviews based on his experience on interviewing hundreds of candidates at Facebook. Even if this is focused on the system design interview objective and what success looks like for that, it's still a very comprehensive resource on what matters the most when it comes to system design. There is also a write-up of this video.

Start Building up Your Data Storage and Retrieval Knowledge

Most of the time, the choice of how you decide to persist and serve data will play a crucial role on the performance of your system. Therefore, you should be able to understand the expectations around data writes and reads about your system first. Then, you should be able to assess these and convert that assessment into a choice. However, you can only do this effectively if you know the existing storage patterns. This essentially means having a good knowledge around database choices. 

Databases are really scalable and durable data structures. So, all your knowledge around data structures should be really beneficial around understanding the various database choices. For example, Redis is a data structures server, supporting different kinds of values. It allows you to work with the concept of data strictures such as sets and lists, and provides you to read data through commonly-known algorithms such as LRU in a durable and highly available fashion. 

Photo by Samuel Zeller on Unsplash

Once you get enough grip around the various data storage patterns, it's now time for you to get into data consistency and availability land. CAP theorem is the first thing you should try to have a good grip of, which you can polish it off by looking deeper into established consistency and availability patterns. These will allow you to have a wide spectrum when it comes to understanding data writes and reads are really very separate concerns and have separate challenges associated to them. By embracing several consistency and availability patterns, you can gain a lot of performance while serving the data to your applications.

Finally around data storage needs, you should also be aware of caching. Should it be both on the client and server?  What data will you cache?  And why?  How will you invalidate the cache?  (will it be based on time?  If so, how long?). This section of system-design-primer should be a good starting point on this topic. 

Communication Patterns

Systems are composed of various components, which can be different processes living inside the same physical node or different machines sitting at the separate parts in your network. Some of these resources might be private within your network but some needs to be accessed publicly by your consumers.

These resources needs to be able to communicate between them and to the outside world. In context of system design, this again introduces another set of unique challenges. Understanding how asynchronous workflows can help you and what are the various communication patterns available such as TCP, UDP, HTTP (which sits on top of TCP), etc. will help you understand the breadth of the problem space and solutions currently available. 

Photo by Tony Stoddard on Unsplash

When dealing with communication to the outside world, security is always another side-effect that you need to be aware of and actively deal with. 

Connection Distribution

I am not sure if this logical grouping makes sense here. I will go with it anyway since it’s the closest term that reflects what I want to cover here.
Systems are formed by gluing multiple components together, and how they communicate with each other often is designed through well-established protocols such as TCP and UDP. However, these protocols are often not enough on their own to cover the needs of today’s systems which can have high load and demands from our consumers. We often need ways to be able to distribute connections in order to handle the high load of our system.

Domain Name System (DNS) sits at the core of this distribution. A DNS translates a domain name such as to an IP address. Besides this, some DNS services can route traffic through various methods such as weighted round robin and latency-based to help distribute the load.

Load balancing is very vital and nearly every major system on the Web we interact with today sits behind one or multiple load balancers. Load balancers help us distribute incoming client requests to multiple instances of resources. There both hardware and software forms of load balancers but it’s often that you see software based ones used such as HAProxy and ELBReverse proxies are also very smilar to the concept of load balancing with some distinctive differences though. These differences will have an effect on your choice based the needs.

Content Delivery Networks (CDN) are also something which you should be aware of. A CDN is a globally distributed network of proxy servers, serving content from locations closer to the user. CDNs are usually preferred when you are serving static files such as JavaScript, CSS and HTML. It’s also common that you see cloud services offer traffic managers (such as Azure Traffic Manager) which gives you global distribution and reduced latency benefits for your dynamic content. However, these services are mostly beneficial if you have stateless web services.  

What About My Business Logic? Structuring Business Logic, Workflows and Components

Thus far, we talked about all the infrastructure related aspects of a system. These are the parts of your system which your users probably have no idea about and to be frank, they don't give a damn about them. What they care about is how they interact with your system, what they can achieve by doing so and how the system acts on behalf of them to make certain decisions and process their data.

As you might guess from this post’s title, I intended this blog post to be about software architecture and system design. Therefore, I wasn’t going to cover the software design patterns which are concerned with how the components are built. However, thinking about this more and more, it’s clear to me that the line between them are very blurred and usually both sides are interconnected. Take Event Sourcing for example. Once you adopt this software architecture pattern, it pretty much effects most parts of your system; how you persist data, what level consistency you choose for your system’s clients to deal with, how you shape the components within your system, so on and so forth. Therefore, I decided to touch on some of the design and architectural patterns related which directly concerns your business logic. Even if it’s going to be just touching the surface, it should be useful for you have some ideas. Here is a few of them:

Collaboration Approaches

It's highly unlikely that you are going to be the only one involved in a project where you need to be part of a system design process. Therefore, you need to be able to collaborate with other folks in your team, both inside and outside of your job function. There is also a breadth and depth of this surface area and as the technical leader, you should be able to address the concerns on each level by going into it with a required depth. The activities here may involve evaluating technology choices together or pinning down the business needs and understanding how the work needs to be parallelised.

Photo by Kaleidico on Unsplash

First and foremost, you need to have an accurate and shared understanding of what you are trying to achieve as a business goal and what moving parts involved in this aspect. Group modeling techniques such as event storming are powerful methods to accelerate this process and increases your changes of success. You may get into this process before or after you define your service boundaries, deepening on your product/service maturity stage. Based on the level of alignment you see here, you may want to facilitate a separate activity to define the Ubiquitous Language for the bounded context you are operating on. When it comes to communicating the architecture of your system, you may find the C4 model for software architecture from Simon Brown useful, especially when it comes to understanding what level of depth you should go into while visualising what you are trying to convey.

There are most probably other mature techniques available in this space. However, all will tie back to your domain understanding and your experience and knowledge around Domain-driven Design will prove to be handy. 

Some Other Resources

Here are some resources which may help you. These are not in any particular oder.

A while ago, I have written up on Graphs and gave a few examples about their application for real world problems. In this post, I want to talk about one of the most common graph algorithms, Depth-first search (DFS).
@ 07-28-2018
by Tugberk Ugurlu

A while ago, I have written up on Graphs and gave a few examples about their application for real world problems. I absolutely love graphs as they are so powerful to model the data for several key computer science problems. In this post, I want to talk about one of the most common graph algorithms, Depth-first search (DFS) and how and where it could be useful.

What is Depth-First Search (DFS)?

DFS is a specific algorithm for traversing and searching a graph data structure. Depending on the type of graph, the algorithm might differ. However, the idea is actually quite simple for a Directed Acyclic Graph (DAG):

  1. You start with a source vertex (let's call it "S")
  2. You visit the first neighbour vertex of that node (let's call this "N")
  3. You do the same for "N" and you keep going till you end up at a leaf vertex (L) (which is a vertex that has no edges to another vertex)
  4. Then you visit the second neighbour of L's parent vertex.
  5. You would be once you exhaust all the vertices.

I must admit that this is a bit simplified version of the algorithm even for a DAG. For instance, we didn't touch on the fact that we might end up actually visiting the same vertex multiple times if we don't take this into account in our algorithm. There is a really good visualization of this algorithm here where you can observe how the algorithm works in a visual way through a logical graph representation.


Application of Depth-First Search

There are various applications of DFS which are used to solve particular problems such as Topological Sorting and detecting cycle in a graph. There are also occasions where DFS is used as part of another known algorithm to solve a real world problem. One example to that is the Tarjan’s Algorithm to find Strongly Connected Components.

This is also a good resource which lists out different real world applications of DFS.

Other Graph Traversal Algorithms

As you might guess, DFS is not the only known algorithm in order to traverse a graph data structure. Breadth-First Search (BFS) is a another most known graph traversal algorithm which has the similar semantics to DFS but instead of going in depth on a vertex, it prefers visit the all the neighbors of the current vertex. Bidirectional search is another one of the traversal algorithms which is mainly used to find a shortest path from an initial vertex to a goal vertex in a directed graph.

Lately, I wanted to spend a little bit time on going back to fundamental computer science concepts. I am going to start with Graphs, specifically Depth First Traversal (a.k.a. Depth First Search or DFS) and Breadth First Traversal (a.k.a Breadth First Search or BFS). However, this post is only about the definition of Graph and its application in software systems.
@ 09-19-2017
by Tugberk Ugurlu

Lately, I wanted to spend a little bit time on going back to fundamental computer science concepts. Hopefully, I will be able to write about these while I am looking into them in order to offload the knowledge from my brain to the magic hands of the Web :) I am going to start with Graphs, specifically Depth First Traversal (a.k.a. Depth First Search or DFS) and Breadth First Traversal (a.k.a Breadth First Search or BFS). However, this post is only about the definition of Graph and its application in software systems.

What is a Graph?

I am sure you are capable of Googling what a Graph is and ironically maybe that’s why you are reading this sentence now. However, I am not going to put the fancy explanation of a Graph here. Wikipedia already has a great definition on a Graph which can be useful to start with.

Let’s start with a picture:


This is a graph and there are some unique characteristics of this which makes it a graph.

  • Vertices (a.k.a. Nodes): Each circle with a label inside the above picture is called a vertex or node. They are fundamental building blocks of a graph.
  • Edges (a.k.a. Arc, Line, Link, Branch): A line that joins two vertices together is called as edge. An edge could be in three forms: undirected and directed. We will get to what these actually mean.

At this point you might be asking what is the difference between a graph and a tree? A tree is actually a graph with some special constraints applied to. A few of these that I know:

  • A tree cannot contain a cycle but a graph can (see the A, B and E nodes and their edges inside the above picture).
  • A tree always has a specific root node, whereas you don’t have this concept with a graph.
  • A tree can only has one edge between its two nodes whereas we can have unidirectional and bidirectional edges between nodes within a graph

I am sure there are more but I believe these are the ones that matter the most.

As we can see with the tree example, graphs comes in many forms. There are many types of graphs and each type has its own unique characteristics and real world use cases. Undirected and directed graphs are two of these types as I briefly mentioned while explaining the edges. I believe the best example to describe the difference between them is to have a look at the fundamental concept of Facebook and Twitter.

Application of Graphs

Graphs are amazing, I absolutely love the concept of a graph! Everyone interacts with a system everyday which somehow makes use of graphs. Facebook, Google Maps, Foursquare, the fraud check system that your bank applies are all making use of a graph and there are many, many more. One application of graph concept which I love is a recommendation engine. There are many forms of this but a very basis one is called Collaborative Filtering. At its basis, it works under a notion of “Steve and Mark liked BMW, Mercedes and Toyota, you like BMW and Toyota, and you may like Mercedes, too?”.

There are some really good graph databases with their own query languages as well. One that I love about is Neo4j which uses Cypher query language to make its data available to be consumed. On their web site, there are a few key applications of Neo4j listed and they are fundamentally real world applications of the graph concept.

You can also come across some interesting problems in the space of mathematics which has solutions based on a type of graph like Seven Bridges of Königsberg problem (and I think this problem is the cornerstone in the history of graph theory).

It's very common that you get asked about your proudest achievement. I wanted to put mine here publicly so that I would have a place to direct people to. So, here it is :)
@ 09-18-2017
by Tugberk Ugurlu

It's very common that you get asked about your proudest achievement. I wanted to put mine here publicly so that I would have a place to direct people to. So, here it is :)

My proudest achievement to this day dates back to 2010. I was working at a local Travel Agency in Turkey while still studying Travel Management at the university and we had a Web site for our customers to book their airport transfers from/to their hotels by paying online. However, the application didn't allow our customers to book additional services with extra cost such as baby booster seat. In addition to this, we were unable to reflect our pricing accurately for particular conditions due to the limitations on the system. At the time, I was working at the reservations and booking department but I had a huge interest on software development, especially on web applications.

When our web developer left the company, I prototyped the algorithm to calculate the airport transfer pricing on SQL Server based on the number of passengers, arrival and departure dates. I presented this to my manager who was also in charge of the company's online sales, and asked for a budget and time for developing a new airport transfer booking system for the company. I explained that this system would have the same features as the old system along with the additional features we have always wanted. This was going to allow us to provide better service to our customers and reflect cheaper prices by having a maintainable system to build upon. My manger believed in me, and gave me time and budget to invest on this. I spent a month to develop the system and its content management system by coding the business logic in C# (while learning it at the same time), developing the user interface as a web application using HTML, CSS and JavaScript, and integrating it with an online payment system. I had to deal with lots of things I hadn't known about but having a good support from my manager made me always trust myself and keep pushing to come through all the obstacles. We rolled out the system under a different domain name first and advertised it through Google AdWords‎ (you could see that version see here even if the styles and functionality don't quite work on Within the first 5 hours, we sold a Private Minibus Transfer through the system Over the weeks, we directed all our transfer booking channels to this new system and kept evolving it. After two years, the system sold 32% more transfers than the old system and yielded 26% more revenue. The final look of the system is still running here and maintained by the company (I should point out that I am not entirely responsible for the new look of the site , especially for those red primary action buttons!). Proving myself with this achievement also gave me a chance to take more responsibility on software engineering at the company and I was able to get a budget for an accommodation booking system (it can been found on which yielded extra revenue for the company for a few years.

Lots of things happened after this and I achieved so much more such as being part of several successful teams to create valuable software products, being published, having the Microsoft MVP award for 5 years in a row, speaking at lots of international conferences, maintaining a successful blog for 7+ years and many more. However, nothing was able to beat that because it was a unique opportunity to be able to fight for something I truly believed in. Besides that, having a true leader as your manager is a unique opportunity. He trusted me and my skills, and when looking back at this now, it's very clear to see that I would never have become a good software developer without this trust and my confident in myself.

What's Your Proudest Achievement?

Well, it's your turn. Hopefully I encouraged you to share yours publicly as well. Please share yours as a comment here, preferably by linking to your blog post which you are about to write :)

What does good look like for a software engineer? This is a question you might be asking frequently to yourself and I tried to share my thoughts on the topic with this blog post.
@ 03-18-2017
by Tugberk Ugurlu

If you are a software engineer, this is a very common question you will get to ask yourself a lot. This is going to be especially very frequent if you are being part of the recruitment process in your company. As you may know, I work at Redgate, and we have a good culture for development teams. Besides that, common characteristics of a good engineer with examples and counter examples for each engineering role are defined, too. This is a really good guidance for the employer to reflect their culture for a particular role. It’s also good for the employees to understand where they are on being an effective employee.

(Image is from

I got inspired by this and I wanted to share the list of principals I value and look for within a software engineer. Obvious disclaimer: this is not the list of principals that my employer values even if the most of them are pretty similar. As we got the disclaimer out of our way, let's see these principals:

  • Knows the fundamental concepts, data structures and common algorithms rather than only being too good with a programming language or a specific framework w/o understanding the basics. In other words, know the basics and be polyglot.
  • Has good communication skills - both verbal and written. Without this, it's impossible to be a good software engineer.
  • Being pragmatic - Works incrementally and balances delivering value frequently with delivering high quality.
  • Iterates fast - Values Continuous Integration (CI) and Continuous Delivery (CD), makes their code fail fast, enforce consistency and keep master branch releasable. Your release process should as easy as adding a git tag as a valid semantic version.
  • Cares for sustainability - Strives for producing code which will sustain for years, even decades. Not one-off, works-now-who-knows-when-it-will-stop-working ones.
  • Knows the business - Cares to understand the business domain and strives for establishing an ubiquitous language between the software product team and stakeholders.
  • Strives for THE BEST UX - Makes user experience the part of the product completeness.
  • Being a team player - Works with their peers, gets/gives code review from/to them. Develops their skills while they are developing their own. Should strive for being transparent to the team all the time.
  • Knows the metrics but also has a vision - Should know the metrics and how to get them to make decisions. However, they should have a vision at the same time, too. They should not have the "Let’s ask the users” mindset as the default approach for product feature decisions. Remember, good artists copy; great artists steal! The problem you are trying to solve has been probably solved within the same or a different context. Find that, bend it and apply differently.
  • Disagrees and commits when needed - Should not be shy about getting their opinions out and pursue them. However, they should also know that a decision has to be made, and when that’s the case, they should commit fully and try to get the best out of it even if it’s not the decision they wanted to see.
  • Values open source and contributing back to software community - Has a blog, gives talks at conferences or user groups, contributes back to open source projects. Simply shares what they are proud of with others openly.

There are probably more but these are the most important ones that I care about and value at a very high level. However, I wonder what yours are, too. Therefore, please share them with me here by send me a comment.

Hi 🙋🏻‍♂️ I'm Tugberk Ugurlu.
Coder 👨🏻‍💻, Speaker 🗣, Author 📚, Microsoft MVP 🕸, Blogger 💻, Software Engineering at Deliveroo 🍕🍜🌯, F1 fan 🏎🚀, Loves travelling 🛫🛬
Lives in Cambridge, UK 🏡