Operations | Monitoring | ITSM | DevOps | Cloud

Benchmarking the environment of a new network is a crucial part of ensuring its success when it goes live. This includes stress testing and generating traffic on existing networks, both of which help you to identify any potentially flawed or vulnerable areas—for example, drops in connection and packet loss. As we know, network traffic is critical to the success of a business, as it determines how data flows and how effectively your applications interact.

Kubernetes makes it easy to scale applications. But when it comes to CPU resource management, a poorly tuned cluster can quickly become unstable or inefficient. For network engineers, setting CPU requests and limits correctly—and understanding the deeper implications—is essential for keeping workloads efficient, costs predictable, and noisy neighbors in check.

In the rapidly evolving world of cloud computing, network engineers often need to decide between serverless computing and containerization. Both technologies offer unique advantages and are suited to different types of applications. This article aims to provide a comprehensive comparison of serverless computing and containers, helping network engineers make an informed decision based on their specific needs.

As network engineers, you play a crucial role in managing cloud infrastructure that supports your organization’s applications and services. Cloud platforms offer immense flexibility and scalability, but without careful cost management, expenses can quickly spiral out of control.

Syslog servers are essential for centralized log management, helping network engineers monitor, troubleshoot, and secure network devices efficiently. This guide walks you through setting up a syslog server from scratch, focusing on practical steps using rsyslog on a Linux system—a common and robust choice for syslog collection. Windows does not have a native syslog server, so you need third-party software.