A collection of nerdy things done in nerdy ways to break, fix, and learn technology
This is part 6 of my quest to explore Azure Functions for self-education in functions-as-a-service. The goal of this post is to successfully integrate VMware’s Tanzu Observability (AKA Wavefront) with Azure and explore the additional insights gained for our Azure Function environment. Back in part 1, we explored Azure Functions and Function Apps via the Azure…
What happens when you have an idea for a conference talk but don’t have the technical expertise to back it up? And what if you think the things you plan to do with certain technologies can be done but aren’t 100% certain? Do you submit anyway and risk failure or just save the idea for…
Thus far in our series, we’ve successfully shipped pihole.log lines to a Wavefront proxy in AWS EC2 and verified the proxy’s receipt of the logs. No data from the logs is being passed to Wavefront just yet, so it’s time to take a deeper look at the log contents and extract some data to be…
In my last post in this series, it looks like we have everything in place for the Wavefront proxy to receive Pi-hole log data (only sending data from pihole.log for now), but how can we confirmed the logs were received by the proxy before working to create metrics from the log contents? This particular part…
If you read my last post, there’s a Wavefront proxy running on a Ubuntu server in EC2 ready to collect data, transform it, and send it to Wavefront. There is a way to create metrics from logs, and my goal is to get Pi-hole logs into Wavefront for analysis. Based on this video, there are…
Have you ever had a fun idea for a project but didn’t quite know how to get from beginning to end? That’s exactly where I find myself while writing this post. All it takes is one idea to get the mental gears going. Let’s see if I can step through my idea without giving away…
Perhaps you’ve heard some buzz about Wavefront but don’t quite know what it is or how it can be used. I was in the same boat for a while, but then I saw a demo that blew my mind. Imagine a platform that could ingest time series data (or metrics) from various sources, retain all data…