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NETWORKS
OPERATIONS

Unlocking the power of GitOps for network automation

In rapidly developing technologies, especially cloud technologies, the flexibility and at the same time reliability of the tools and techniques we use to manage infrastructure, including networks, become extremely important.
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DATA

Data cleaning techniques: Strategies for reliable data analysis

Data cleaning is a critical component of data analysis, essential for ensuring the accuracy and reliability of the results. This process involves refining data by fixing or removing errors and inconsistencies, a key step for maintaining the integrity of data-driven insights. However, this task presents various challenges. Analysts often face issues like missing values, which can lead to biased outcomes, outliers that may distort the analysis, and irregularities in data formats. If these issues are not properly addressed, they can significantly diminish the effectiveness of data analysis. Therefore, data cleaning is not merely a preliminary step; it is an integral part of producing trustworthy and actionable data insights.
Thumbnail of an article about OpenTelemetry for reliability and control: Aperture
OBSERVABILITY

OpenTelemetry for reliability and control: Aperture

With the rise of cloud computing it became easier to create complicated distributed systems based on microservices. With this came the need to monitor the statuses of the deployed services and many tools and technologies were created to do that.
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NETWORKS

Python Paramiko and Netmiko for automation

This article is an introduction to Paramiko and Netmiko, which are the most popular Python SSH libraries. It should be valuable to both administrators and developers who want to start their automation journey and become aware of the differences between server host automation and network device automation.
Thumbnail of an article about Understanding big data infrastructure: essentials and challenges
DATA

Understanding big data infrastructure: essentials and challenges

In today's data-driven world, organizations are gathering vast amounts of information at an unprecedented rate. This phenomenon has led to the birth and rapid evolution of "big data", a term that describes data sets so large and complex that they cannot be processed using traditional data management tools
Thumbnail of an article about Ethernet VPN explained: benefits, use cases, and key concepts
NETWORKS

Ethernet VPN explained: benefits, use cases, and key concepts

The requirement of Layer 2 connectivity has driven Ethernet-based fabrics and Layer 2 virtual private networks (VPN) to be adopted by internet service providers, cloud operators, and enterprises in their converged networks. A new set of requirements, not initially considered in the design of existing technologies and protocols, has led to the deployment of solutions with certain shortcomings.
Thumbnail of an article about Getting started with vManage client: essential features and functions
NETWORKS

Getting started with vManage client: essential features and functions

Working with REST API on cutting-edge systems can be challenging at times. Rapid evolution and new features often lead to changes in the structure of REST API calls. These can be just cosmetic but still require an effort to adjust existing scripts. This problem can be easily handled by the SDKs dedicated to systems such as Cisco Meraki or Cisco DNA Center.
Thumbnail of an article about IT infrastructure monitoring — everything you need to know
OBSERVABILITY

IT infrastructure monitoring — everything you need to know

IT infrastructure is a collection of components required to manage and operate an organization's IT environments. An IT infrastructure is used to support the management of a company or public institution.
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