In Design Thinking, testing your solution by giving it to real users is the only way to evaluate your idea. If your system doesn’t support the ability to serve different users with different content, your system is not A/B Testing readiness.

From Wikipedia — “A/B testing is a way to compare two versions of a single variable, typically by testing a subject’s response to variant A against variant B, and determining which of the two variants is more effective.”

In a Startup, you are running an e-commerce website that offers clothes for women. After the first sales year, your system has recorded numbers saying customers likely to visit than paying through your platform. Given the purpose of this screen will lead two user groups A and B, who has a similar audience characteristic, to “pay” for your product:

Which one has a better sale? We need to run a user-test on both possibilities for the same audience set but divided into two different groups. This test will answer just one…

Random Generator Number is the core component to generate the primary number in OpenSSL. Understanding how does it work in a real-life implementation is very important for the security aspect.

In computer security, crypto libraries are widely used from basic levels such as password protection algorithms to secured or encrypted communication channels or data encryption methods. Understanding the weakness of algorithms is important to choose the right crypto configuration when developing software or building a networking system. In asymmetric cryptography, also known as public-key cryptography, uses public and private keys to encrypt and decrypt data. The keys are simply large numbers that have been paired together but are not identical (asymmetric). …

A problem will change the characteristics when eliminating them, it happens with the causal effect. The more precise characteristics you define, the less impact on the derived problem. Therefore understanding a wicked problem is important to reduce the causal effect.

According to Horst Rittel (1930–1990), a design theorist and university professor first coined the term “wicked problem” in ‘Dilemmas in a General Theory of Planning’ (1973). In the paper, Rittel details ten characteristics that describe a wicked problem. This is the 10 Characteristics of Wicked Problems defined in that paper:

1. There is no definitive formula for a wicked problem.
2. Wicked problems have no stopping rule, as there’s no way to know your solution is final.
3. Solutions to wicked problems are not true-or-false, they can only be good-or-bad.
4. There is no immediate test of a solution to a wicked problem.
5. Every solution to a wicked problem is a “one-shot operation”; because there is no opportunity to learn by trial-and-error, every attempt counts significantly. …

Mastering a programming language could take you over the years since you started one. After you are good at one, the next one will be easier than then the other next one. Hence, choosing your first programming language is important to shape your career path in software development.

I dived into software programming world since 1998 at my university with Pascal programming language with Turbo Pascal compiler in MS-DOS computer. Started with solving maths problems, advancing for graphical drawing with curves, shapes, and animation in 2D. It’s just for enjoying!

After 22 years of doing programming, I had tried over 14 programming languages. Most of the time I spent to program Windows software with C++/MFC in Visual Studio 6.0 for over 7 years. Since 2012, I have started to write a hybrid mobile/web application in JavaScript, then any backend API or tool using NodeJS. …

Scalability and elasticity are one of five essential properties in Cloud Computing technology. According to The National Institute of Standards and Technology (NIST) defines cloud computing as it is known today through five particular characteristics: On-demand self-service, broad network access, multi-tenancy and resource pooling, rapid elasticity and scalability, measured service.

What is Scalability?

is the capacity of an object to be changed in size or capability. A system is scalable if its resource is sizable or it can be stretch out by adding more elements to increase the total capacity.

In Cloud Computing, everything is a virtualized resource. A virtualized computing resource has three essential components: CPU, Memory, Disk, and Network to be able to run the software. It is scalable if its CPU units, Memory, and Disk capacity can be sizable (a network resource is not a factor of scalability due to it depends on the infrastructure of a data center) — it’s called scaling-up. Scaling-up having a limitation of the physical host machine. If a host machine has 8 CPU units and 64 GB of RAM, a VM inside this host cannot size over those numbers with the real power of computing resources. …

In Data Science, a productive model is an amazing work from you. You want to sell your excellent model to a Financial Business or a potential StartUp through the API subscription method. AWS Lambda and API Gateway will be the best choice for you. Deploying your model into production and scale-out them for thousands of thousands of users is almost done if it works on Serverless architecture. Doesn’t like deploying on an EC2, it costs you nothing if there is no usage.

There are three popular frameworks using Python: SciKit-Learn, TensorFlow, and PyTorch. Today, TensorFlow is used widely for Deep Learning along with PyTorch while SciKit-learn is used for Machine Learning at most. In Mar 2019, Google has released a Tensorflow Lite version (TFLite). The lite version intends to use for Smart Phone and Embedded application. This is significant good news for Data Scientists.

It’s important to reduce the footprint of a Machine Learning or Neural Network model that runs in devices such as a Raspberry PI. When distributing it at client devices. It isn’t easy to protect your intellectual property from Jailbreaking. …

Have you ever asked yourself how a framework has been built to do a magic job for you? In this article, we will be together in 3 minutes to learn HOWTO to build a framework. This framework will deploy your function code into AWS Lambda or GCloud Functions service as you choose.

According to “Framework” definition, a Serverless Framework will be a supporting structure around which a Serverless can be built.

In software development, this is about how to construct a project using infrastructure or service that you don’t have to manage any Server to run your whole project code (Monolithic) or a set of functions (FaaS). …

When working with AWS services, you’ve got several choices to build and deploy your lambda functions: Serverless Framework, AWS Amplify Framework, and AWS SAM CLI are the three most popular toolkit today. Each of them has different pros and cons. The cons you will get just happens after your project sized to be a complex solution beyond their pre-designed, intended purpose. In this article, I want to introduce yet another choice for your work with less locked-in, highly customization, and ultimate control of your Infrastructure as Code solution.

What is Simplify-SDK? This is a JavaScript SDK that helps your DevOp integration easier by adding deployment steps inline to your project solution. You will never want to be locked into any vendor for a tool you use. In FaaS architecture, a function can be very small but a project needs some (3–100) functions to orchestrate a workload. One CI/CD tool for all of them is quite hard to deploy your project when you just need to manage a stand-alone function. …