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NETWORKS
DATA

AI & machine learning for networks: example use cases

In today's digital age, the use of machine learning (ML) in networks has become increasingly prevalent. Modern businesses rely heavily on networks to maintain operations. However, it could be more and more challenging to manage network infrastructure effectively. One solution is to use machine learning (ML) algorithms to analyze network data and provide insights that can lead to more efficient network management. In this article, we will explore several ML use cases in network management including time series forecasting, capacity planning, intelligent alerting, and the use of external data to enable faster recovery of network components.
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SOFTWARE DEVELOPMENT

Microservices vs. monolith: choosing the best for your project

There is a widespread but misguided belief that the quality of the code defines whether or not a mobile or web application can be successful. The truth is, your app can have the most brilliant code in it and still be too slow or outdated for the customers. It is the architecture, the way your app is designed and built, that influences the user experience most of all. Architecture can quite literally make or break your application. Historically, applications were designed according to monolithic architecture principles.
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SOFTWARE DEVELOPMENT

9 software development best practices that benefit your business

Software development has become an increasingly important aspect of modern business, with companies relying heavily on technology to stay competitive. These software development best practices can help you ensure that your software is developed efficiently, effectively, and to a high standard of quality. Establishing best practices can help developers avoid common pitfalls and deliver software that meets the needs of users and stakeholders. In this article, we will explore some of the most important software development best practices, including project management methodologies, coding standards, testing strategies, and more.
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DATA

Data Science vs. Machine Learning: understanding the difference

We live in the so-called Zettabyte Era, which started in the middle of the 2010s when the amount of digital data and network traffic exceeded one zettabyte, or a trillion gigabytes. That might give you an idea just how much data is created and consumed nowadays. Not to mention that this amount grows at an increasing rate, and is projected to reach 181 zettabytes by 2025. Even though only a fraction of that data is stored for longer periods of time, the resulting data volume is still pretty intimidating.
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DATA

Types of Artificial Intelligence — a general overview of a formidable technology

We live in a world that even a couple of decades ago only science fiction writers could imagine. The most amazing innovations quickly become commonplace and normal. However, if there is still one that doesn’t fail to impress, that would be artificial intelligence, as proven by the recent burst of interest in ChatGPT, a new language model application with advanced AI features that can be used to build chatbots. We encounter AI everyday, not only in chatbots, but also in voice-activated personal assistants, self-driving cars, robot vacuum cleaners, image generation software, and many, many other instances.
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QUALITY ASSURANCE

From start to finish: how to write a successful testing plan

Every stage of the software development lifecycle is equally important. However, if there is one part of development that has the biggest impact on the customer experience, it is probably testing. Missed bugs that turn up in the production environment make the worst impression on end users. And if you miss critical errors, the application can stop working at the most inopportune time which might cost your users, and your own business, a lot of money. Thorough software testing can prevent all this from happening.
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CLOUD

What is cloud-native architecture — everything you need to know

Gone are the days when most IT companies had their own physical data centers. On-premises infrastructure is no longer a prerequisite for running a successful IT business. Cloud data storage and hosting has become so routine you barely even give it a thought. More often than not, customers expect your app to be hosted in the cloud because they associate it with less downtime, speedy work and reliability. However, when considering cloud infrastructure, there is a big difference between cloud-native and cloud-enabled applications.
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SOFTWARE DEVELOPMENT

What is test-driven development? Meaning, tests, and benefits

Do you want to deliver software faster and of better quality? Sure, everyone wants to. We know a methodology that will help you achieve that goal. The method is test-driven development (TDD), focusing on testing the first approach. In this article, you’ll learn what test-driven development is, its process, and also some pros and cons to give you a full understanding of TDD. Test-driven development concentrates on building unit test cases as a first step of coding new feature functions. In this iterative approach, you mix the traditional order of unit tests, refactoring, and programming.
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SOFTWARE DEVELOPMENT

Why is Rust programming language so popular?

Rust was created to ensure high performance similar to that offered by C and C++,but with emphasis on code safety, the lack of which is the Achilles heel of these two languages. However, Rust has more than just memory safety on its side. High performance while processing large amounts of data, support for concurrent programming, and this together with an effective compiler are other reasons why well-known software heavyweights now use this programming language. Firefox, Dropbox, Cloudflare, and many other companies from startups to large corporations use Rust in production.
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SOFTWARE DEVELOPMENT

What is a tech stack and how to choose the right technology for your project?

Do you need to choose a tech stack for your project but don’t know where to start? If so, you’re in the right place. In this article, you’ll learn what a tech stack is, what tech stack components are, and what the different types of tech stacks are. Further, you’ll find information about choosing the right technology stack for your project and some common tech stacks used by famous companies. Does this content sound interesting? Let’s dive into the world of tech stacks right away. A tech stack consists of a set of tools and libraries that are combined together to develop an application.
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