Nowadays, even the simplest application cannot be imagined without using data. For developers, this means writing complex systems for accessing data storage and information in them. For organizations that want to be data-driven, it is important to skillfully build such data operations and ensure their efficiency and reliability. In the following article, we will talk about how to ensure business logic accuracy by setting up a testing system.

Let’s imagine you have the following setup in your project. A project API that communicates with Data API to get data from the database and forwards final results to the web application…

Everyone wants to have their app running on Kubernetes. But how to start this process? What steps should be performed? How to estimate the effort?

Many development teams are only starting their K8s journey. Despite the popularity of Kubernetes in recent years, there are still a lot of organizations that are only starting to plan the migration process.

As a part of our work, we help and support such companies in their Kubernetes migration process. Here we would like to share the common steps and milestones that development teams should do to port their awesome app to K8s. …

Everyone knows how to secure user access to resources. It’s simple, as we have a person that can enter his login and password into the login form on his screen as prompted. Based on the received credentials, the authentication provider will generate a token, and a user will use this Token to access API or any type of application. But what should we do if there’s no user and the client of our API is another service? How can this service login and enter its credentials? How can it obtain the access token?

This type of communication is called service…

We want to tell you about a few common patterns that can be used to build highly available APIs on top of AWS infrastructure. We will highlight each of them and briefly describe the pros and cons.


You could easily ask the question, why should an API be highly available? In our world of big data and unpredictable users load, you should guarantee the responsiveness of your application. It is the minimum necessity to save the business money and not lose your clients. Such important architectural characteristics like high availability and scalability can help you with this. You have to always keep them in mind while creating new modern applications. And as you know, today, the API is one of the main parts of any system.

High Availability in your application

Let’s start off with a brief explanation of high availability and…

Every project team sooner or later asks the question — how to test APIs? Do we need to write API tests? How can we write them? There are a lot of questions on this topic. Moreover, the answers for them are also varied and depend on each particular case.

Nowadays, a lot of solutions are using the microservices approach. They have a set of small APIs that communicate with each other. They get data from a database or other resources, apply some business logic on top of it, and return as an API response. So, you want to be sure that each of such APIs is working correctly, and they work well together.

It sounds like a complex task, but let’s see how to elaborate the testing approach for your project.

API Testing Strategies

We want to highlight two main testing strategies that can be considered for your API testing. As you…

Nowadays, you have two technology options on how to build modern serverless applications in AWS. The choice is between AWS Lambda or AWS Fargate. There are oodles of articles on the internet that compare both these technologies in terms of their features, limits, and pricing.

Of course, in a huge setup, you will combine both these technologies, especially since we’re living in a microservices world. When you design a new feature or service, you often decide right then and there where you will host it.

Sit back. Grab a tasty beverage. We’re going to provide you with a simple step-by-step…

Shortly about the latest developments in Big Data, AI, machine learning, IoT, cloud, and more.

Journey to AI

“The thing that’s going to make artificial intelligence so powerful is its ability to learn, and the way AI learns is to look at human culture.” – Dan Brown

Journey to AI is where many companies and organizations are now. Most of them have reached a data collection stage — they know how to build fast and robust data pipelines and have created huge data warehouses and data lakes. But now they’re trying to apply machine learning models and algorithms to this data — and solving this problem has proven painful for many big data players.


Data storage is the most important part of any big data analytics solution. How you transform, store and access your data is the most important decision you’ll make when building such systems. These choices require compromises, but with a smart approach, we can build APIs to allow access to any type of data storage.

Let’s imagine you’ve created a platform that’s been working well for several years. But new technologies are released every minute, and someday you’ll want to renew your architecture to apply all these modern improvements.

In our case, we have a Vertica distributed analytical database. It’s hosted…

Illia Saveliev

Software Architecture. Big Data. Cloud Technologies.

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