Author: Tetiana Stoyko

To understand how graph databases work, let’s define it first. A graph database is a type of NoSQL databases which stores nodes and relationships instead of tables or documents. The data is stored without restricting it to a pre-defined model giving flexibility. Abovementioned NoSQL databases are often perceived as “no SQL” at all but it’s actually “not only SQL.” In SQL databases, the data is only stored in tables. Using NoSQL, you can store four types of databases: document, key-value, wide-column, and graph. 

• SQL database examples: MySQL, PostgreSQL, OrientDB, MariaDB, CouchDB, and more.
• NoSQL database examples: MongoDB, Apache Cassandra, Neo4j, Redis, DynamoDB, HyperTable, and more.

In fact, there are so many databases now that it’s difficult to choose. However, there are lists of best or top databases that have descriptions of functionality and use cases.

Python is one of the options when choosing between programming languages suitable for microservices architecture. It has perks like an active community, better prototyping, and popularity among developers. It has some limitations, so other languages can be used to avoid them.

Quick Development Architectural Style Review and Statistics

Two main development architectural styles are monolithic architecture and microservices architecture. Monolithic has an all-in-one principle and functions as an integral structure, which works best for small development projects or start-ups. When a platform grows and a business needs complex applications, it'll be reasonable to split it into a microservices architecture. 

Blockchain technology is applied in many industries and is steadily gaining support and users' trust. Many start-ups and businesses try to develop unique web platforms or mobile apps with a wide range of blockchain usage. As the blockchain and crypto markets thrive, developers have many opportunities and projects to develop, like trading bots, payment applications, or business settlement solutions. In this article, we'll figure out how API is used for blockchain and how API integration might benefit the app. 

What Is Blockchain API?

Application Programming Interface (API) integration is used to communicate with blockchain nodes or client networks. By doing so, it gets data and displays it to the user. APIs can be used for transactions, managing accounts, crypto trading, making analytics, and providing security. Top blockchain APIs are considered secure, easy to use, and reliable in the long run. Distributing data securely might be along with blockchain technology, but it's safer and more convenient. Choosing one is no easy feat, as the diversity of APIs is truly impressive.

The most general view of program development approaches claims we have two basic coding options. The first one, synchronous code architecture, works step-by-step, and all the processes run the same way. For instance, each process performs data input and receives output from the server. Consequently, if we have operation one and process two, as well as input/output one and input/output two, input two starts only after output one. 

In asynchronous code, the architecture is not that strict and hierarchic. Our example with two operations looks different, as both operations can be performed simultaneously and remain independent. It is also called concurrent code. 

Applications that require server-side implementation often require the clients (mobile apps or web browsers) to authenticate themselves to the server. For instance, when someone uses Chrome to access Facebook after logging in before, they communicate specific information to the Facebook server proving their identity. Logging with social media is just one way of user authentication. But I should also mention the authentication through Gmail, with other services/integrations, that are related to the initial app, or generally with Operation System recognition. In both cases, the custom user authentication needs to be set up, so we are going to define the major ways for the developer.

Ways To Build Custom User Authentication

The software can implement bespoke user authentication in a variety of methods. Some of them require full custom coding, and others are easier to apply.

When an application needs server-side implementation, clients (such as mobile devices or browsers) must authenticate to the server. For instance, when someone uses Gmail to log into Facebook after having logged in before, they transmit certain identifying information to the Facebook server.

User authentication for your application might be established in several different ways. However, the most suitable option, in our opinion, is to use AWS Cognito.

As an illustration of how Kubernetes is being used, I propose to consider one of our cases. We are going to talk about the application that was developed for the cryptocurrency market. Yet, the technologies used for this app are utilitarian and can be used for other projects as well. In other words, a tech task is a very general solution and mainly adjusted specifically to the Kubernetes and can be used in other industries as well.

Technologies That We Used

The project started as a start-up and had a limited budget. The client paid attention that we will have regular demos for investors where we should regularly show progress in developing new features. Thus, we decided to use such technologies as:

One of the steadily growing popularity frameworks is Django. It has proven to be among the best web development means for developers. And in our development team, it is also a common part of many cases’ tech stacks. Thus, I’ve decided to overview what are the top alternatives to Django on the market and which of them could bring more productivity. 

Let’s have a look at Statista research. They made a sum-up to conclude how the rank for most popular backend frameworks changed throughout the 10 years gap. And as we can see, Django was in the top 5 all the time, aside from 2018. Currently, in 2022 it is recognized as almost the best one among competitors, and I think Django’s worth it. Here are a few reasons why:

As you probably already know, Open Web Application Security Project addresses many threats and vulnerabilities in the cyber security environment. In order to carry out its purpose, OWASP offers forums all around the world as well as an online library stocked with books and materials for education. Basically, they’ve created a list of vulnerabilities that are worth your time taking care of. This list includes lots of threads, but all around the web, you can easily find the top 10 of them, including Broken Access Control, Critical Data Disclosure, Injection attacks, Broken Authentication, XML External Entities Injection, Cross-Site Scripting, Incorrect Security Configuration, Insecure Deserialization, Insufficient Logging, and Monitoring, as well as Using Components with Known Vulnerabilities. 

Each cyber vulnerability has its own way of solution. So, I’ve decided to overview the top 3 vulnerabilities mentioned above since they are the most widespread. Let’s break them down by examples, descriptions, and options to prevent.

Nowadays, UI and UX design are essential for almost every business. Without these technologies, every device or software usage would be unattractive or even impossible. But what are they, and why are they important?

UI vs. UX What Is the Difference?

First of all, why could they be met together? All of us at least once saw the UI/UX phrase. They are two parts of one process. UI stands for User Interface, while UX is user experience. The combination of the UI and UX provides the best final result. To understand why we should take a look at both of them separately.

REST has long been a popular architectural paradigm for creating APIs, but GraphQL's rise in popularity in recent years has put REST's reign in jeopardy.

When it comes to establishing or leveraging API architecture design, the debate between GraphQL and REST is raging, and most firms are split between the two. While REST is generally recognized as the industry standard for creating APIs, GraphQL has been heralded as a new technology capable of overcoming REST's limitations. REST and GraphQL are two data retrieval technologies. The main distinction between GraphQL and RestAPIs is that GraphQL is a query language standard, whereas REST is an architectural idea for network-based computing.