Automation Principles – YAGNI / Premature Optimizations
This is part of a series of posts to understand Network Automation Principles.
This is part of a series of posts to understand Network Automation Principles.
By now I’m sure most of you would have heard the terms ChatOps and Chatbots.
Over the past several posts, I have discussed how to gather metrics about your infrastructure and web applications. Now, the natural progression is to move into alerting with
In network service delivery, the network exists to have applications ride on it. Yes, even voice is considered an application when it is riding over the top of
Dependency management and virtual environments are integral to the Python ecosystem, yet the primary tools in use today are far from ideal. Some of the primary methods are:
As the networking industry moves to embrace NetDevOps, there are often many terms used that network practitioners are unfamiliar with. This can lead to many people feeling unsure
This post, the second in a series focused on using Telegraf, Prometheus, and Grafana for Network Telemetry, will focus on transforming data and making additional graphs within Grafana.
Network automation has become prevalent in the network industry over the last few years and yet we have little data on the state of the market today. There
From an automation standpoint, it is important to understand what data structures are, how to use them, and more importantly how to access the data within the structure.
This is going to be the first in a multipart series where I will be taking a look at a method to get telemetry data from network devices
Pet appreciation day is April 11! But at a company with a large remote workforce, our pets aren’t just companions – around here we lovingly refer to them
At a certain point in time, while working with Python, you might have seen code that uses *args and **kwargs as parameters in functions. This feature brings excellent
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