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DATA

Detecting patterns, uncovering insights: the crucial role of data monitoring

In our digital era, data is a crucial resource for a wide range of industries. The ability to manage, interpret, and derive insights from the overwhelming flood of information is essential. This is where the role of data monitoring becomes significant - a process that oversees and reviews data to ensure its quality, assess system performance, and guarantee data security. Data monitoring is a well-structured method that provides a comprehensive understanding of the state and flow of data throughout its life cycle.
Katarzyna Hewelt

Katarzyna Hewelt

on Jul 7, 2023
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OPERATIONS
NETWORKS

GitOps — which tools should you choose?

In today's fast-paced tech landscape, software development teams are constantly seeking new ways to improve efficiency and speed up the release process. GitOps has emerged as a powerful way to streamline the software delivery process. As GitOps tools have quickly become a go-to solution for many organizations, it is essential to research the right tools to meet your project needs and requirements. In this article, you will find an overview of some of the GitOps tools on the market and their key features highlighted.
Damian Parniewicz

Damian Parniewicz

on Jul 3, 2023
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QUALITY ASSURANCE

The importance and benefits of unit testing

Ensuring code quality and reliability is critical in the modern software development world. One of the possible solutions to achieving this goal is unit testing. Unit testing involves breaking down software into smaller components or units and subjecting them to rigorous testing. It helps identify bugs and errors early on and provides benefits that significantly enhance the development process. In this article, we delve into the importance of unit testing and explore its various benefits to developers and businesses.
Rafał Miecznik

Rafał Miecznik

on Jun 22, 2023
Thumbnail of an article about iPerf testing — overview and basic use case
QUALITY ASSURANCE
NETWORKS

iPerf testing — overview and basic use case

iPerf is a versatile and powerful tool that has become essential for network administrators and IT professionals alike. Designed to measure the performance and throughput of a network, iPerf provides valuable insights into network bandwidth capacity, latency, and packet loss. By simulating real-world traffic conditions, iPerf enables users to assess network performance, identify bottlenecks, and optimize their infrastructure. In this article, we explore how iPerf works and delve into a practical use case to understand its effectiveness in network diagnostics and optimization.
Maciej Wachowski

Maciej Wachowski

on Jun 19, 2023
Thumbnail of an article about AI and Machine Learning for Networks: natural language processing and reinforcement learning
NETWORKS
DATA

AI and Machine Learning for Networks: natural language processing and reinforcement learning

This is the third part of the series, where we focus on the next two classes of ML methods: natural language processing and reinforcement learning. Also, we outline the major challenges of applying various ideas for ML techniques to network problems. This part also summarizes all three parts of the blog post. The first part can be found here, and the second part can be found here. Natural language processing is a part of AI which allows computer programs to understand statements and words written in human language.
Tomasz Janaszka

Tomasz Janaszka

on Jun 12, 2023
Thumbnail of an article about Hardware offloading in software-defined networking
SOFTWARE DEVELOPMENT
NETWORKS

Hardware offloading in software-defined networking

Increasing demands on computer hardware means higher demand for network technology. Unfortunately, computer systems remain largely inefficient, with the CPU serving as the key engine in a variety of computer applications. To solve this problem, one could take various approaches: use a bigger computer, distribute the software between different computers, or improve its performance. In this article, we'll show you how a higher-end computing device can reduce CPU usage and the costs associated with hardware.
Multiple authors

Multiple authors

on Jun 8, 2023
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NETWORKS
DATA

AI and Machine Learning for Networks: classification, clustering and anomaly detection

This is the second article in the series AI/ML for networks. In this article we focus on the two classes of ML methods: classification and clustering. We also mention anomaly detection, which is an important topic in the context of network-related data processing where various classes of ML algorithms can be used. The first article of the series can be found here. In machine learning, classification is a supervised learning problem of identifying to which category an observation (or observations) belongs to (see Figure 1).
Tomasz Janaszka

Tomasz Janaszka

on Jun 5, 2023
Thumbnail of an article about Best practices for Python code quality — linters
SOFTWARE DEVELOPMENT
QUALITY ASSURANCE

Best practices for Python code quality — linters

When developing and maintaining software, code quality is of paramount importance. Being confident that code is readable and therefore easier to maintain and more efficient not only makes it easier for developers to work together, but also significantly reduces the likelihood of errors. One effective way to maintain high quality and at the same time ease of use is to use Python linter tools. These tools are helpful in ensuring Python code is clean, consistent and error-free, resulting in a streamlined development process and a better final product.
Rafał Buczyński

Rafał Buczyński

on Jun 1, 2023
Thumbnail of an article about AI and Machine Learning for Networks: time series forecasting and regression
NETWORKS
DATA

AI and Machine Learning for Networks: time series forecasting and regression

Artificial intelligence (AI) and machine learning (ML) are trending topics in all technological domains. They offer a rich set of methods for data processing that can be used to solve practical problems, including those occurring in networks. We have prepared a series of articles to give you a better look at the various methods you can use for solving specific network issues. In a series of three articles, we present classes of AI/ML methods and algorithms that should play a key role in networking, considering the network/related data types they work on as well as specific types of problem they can help to solve.
Tomasz Janaszka

Tomasz Janaszka

on May 29, 2023
Thumbnail of an article about Leveraging OPA and Rego to Automate Compliance in a CI/CD Pipeline
NETWORKS
OPERATIONS

Leveraging OPA and Rego to Automate Compliance in a CI/CD Pipeline

In today's fast-paced software development world, continuous integration and continuous delivery (CI/CD) pipelines are critical for organizations to deliver high-quality software efficiently. However, ensuring compliance with security and regulatory policies can be a challenging and time-consuming process. Open Policy Agent (OPA) and Rego, a declarative language for policy enforcement, offer a solution to this problem. By leveraging OPA and Rego together, organizations can automate compliance checks within their CI/CD pipelines, reducing the burden on developers and increasing the efficiency of the development process.
Sebastian Czech

Sebastian Czech

on May 25, 2023
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