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The networks category covers networking protocols, data transmission methods, network addressing, and network security. Understanding network fundamentals is crucial for designing, implementing, and managing reliable and secure communication systems.

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
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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
Thumbnail of an article about AI and Machine Learning for Networks: classification, clustering and anomaly detection
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 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
Thumbnail of an article about AI & machine learning for networks: example use cases
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.
Karolina Rusinowicz

Karolina Rusinowicz

on May 2, 2023
Thumbnail of an article about Zero-Touch Provisioning: ZTP guide and example usages
NETWORKS
OPERATIONS

Zero-Touch Provisioning: ZTP guide and example usages

There are countless situations in which a network, be it a service provider, data center, or evenenterprise infrastructure, grows so large that the ability to onboard new devices to that network becomes a huge burden for the network operations team. As time passes, various solutions have been implemented by network and DevOps engineers to mitigate this issue based on open-source and vendor-specific solutions: in-house developed Python/Bash scripts, Ansible playbooks, vendor-specific network orchestrators, etc.
Horia Gunică

Horia Gunică

on Apr 24, 2023
Thumbnail of an article about Policy as code — what is it? Definition and tools
NETWORKS
OPERATIONS

Policy as code — what is it? Definition and tools

By the time you’ve worked in the IT industry for a couple of years, you are usually familiar with many practices as code, for example, infrastructure as code, configuration as code, and security as code. You may have even met with the expression policy as code. What does it mean? Why should we follow an ‘as code’ approach? You’ll find all the answers in this article. The main idea behind policy as code is using specific language to manage and automate policies. What language can be used for that target?
Sebastian Czech

Sebastian Czech

on Apr 20, 2023
Thumbnail of an article about What does CUPS mean in networks and what are its benefits
NETWORKS

What does CUPS mean in networks and what are its benefits

CUPS stands for Control and User Plane Separation. This is an architectural concept which says that for a given network solution, the Control Plane (CP) and User Plane (UP) functions are different entities. To read more on what Management, Control and User Planes (a.k.a Data Plane, or DP) are see Management vs. Control vs. Data Planes in a Network Device. But what does it mean in practice and where is the CUPS model implemented? What benefits does it bring compared to a combined model? The first thing that comes to mind when discussing CUPS is a mobile network or, more precisely, a mobile packet core.
Monika Antoniak

Monika Antoniak

on Apr 3, 2023
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