We use Seq to find valuable insights in the vast sea of our structured log messages. While the search usually works straightforward without any surprises, this time we run into a minor problem. We wanted to find all log messages where property FieldX did not match a specific value. Therefore, we appended this clause to …
A while ago we noticed a performance problem with Seq and the other applications that run on the same server. As it turned out, Seq allocated all the memory and left next to nothing for the other applications. A restart of Seq will only be a temporary solution, for a more durable one we need …
On this day 10 years ago, I was putting the finishing touches on the first blog posts I was going to publish on this blog. What started with a 12 posts series on RavenDB continued for much longer than I had anticipated. Including this post, I published 580 posts on various topics covering .Net, Python, …
A few days back I lost my admin credentials to the Seq server on my development machine. Luckily, there is an easy way to reset those credentials and keep all your data. Open a terminal window as an administrator and enter these 3 commands:
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1 2 3 |
seq stop seq auth reset -u admin -p ADMINADMIN seq start |
This will stop Seq, reset the admin password to ADMINADMIN …
After we created our analysis, it is time to share our Jupyter notebooks. Let us look at the options we have. This post is part of my journey to learn Python. You can find the other parts of this series here. You find the code for this post in my PythonFriday repository on GitHub. …
JupyterLab is a great tool for working with data. As with all tools, work goes much faster if you know their quirks and idiosyncrasies. Today we look at some small but important things that can help you in your daily work with JupyterLab. This post is part of my journey to learn Python. You can …
Jupyter Notebooks offer us a great flexibility on how we can work with code and documentation. Unfortunately, not every attempt will give us a maintainable notebook. Let us look at ways to organise our code and the data we need. This post is part of my journey to learn Python. You can find the other …
While working through a Python data analytics course, I started to like Jupyter Notebooks a lot. Not only do we get much faster feedback when we plot our data, this format offers an effortless way to keep your documentation next to your code. Let us explore this fascinating runtime environment for our code. This post …
The Jetpack extension of WordPress.com uses a lot of JavaScript to work. With Selenium we do not have to bother about that and let our web browser deal with it. This allows us to grab the statistics Jetpack collects for this site. This post is part of my journey to learn Python. You can find …
Until now I use Excel to make a Pivot out of my data stored in CSV files. While this works, I need a lot of manual steps that are cumbersome and time-consuming. Pandas offers an automatable way to do this task, but before I can create the pivot, I need to import my data. Let …