This is a personal blog focused on computer software and hardware. Most projects are implementing software and hardware for a homelab. What is a homelab? I would say a homelab could be a single computer or dozens of computers connected in a network. You can also integrate with computers in the Cloud.
Prometheus can be configured to write metrics to a remote prometheus API to achieve replication and/or sharding. If you are looking for information about what to do with Prometheus or what it is, check out a previous post to get an overview. I am using remote write to have one Prometheus server running in Kubernetes which I have configured to remote write metrics to another Prometheus server on my network that has a larger disk and is outside the k8s cluster.
Elasticsearch is a distributed, RESTful search and analytics engine designed for scalability and flexibility. It allows you to store, search, and analyze large volumes of data quickly and efficiently. Elasticsearch is part of the Elastic Stack. This is a powerful platform that has many strengths when most of your data is text based and you may need to search for text. It supports horizontal scaling and stores data in an Index. You can have data replicated into shards to achieve High Availability.
While I was writing the post about parsing data from the strong app on iOS, I stopped using this app. Now that I have this historical data there are a few approaches but as someone who is busy I ended up using another iOS app that has a native app for the apple watch. It also directly imported all my workout history so stay tuned as I will next be taking a look at any differences in that data.
Organizations rely heavily on metrics to ensure their applications are running smoothly, efficiently, and securely. One of the leading tools in this space is Prometheus , an open-source system designed for event monitoring and alerting. This blog post will delve into what Prometheus is, how it works with metrics, and why it’s become a staple in modern infrastructure management. It may be overkill for a homelab but it is actually a simple system that scales well. You can start by monitoring no more than a single system and/or application and scale to hundreds or more. Metrics are the core of any monitoring system. They provide quantitative data about various aspects of your systems and applications, such as performance, resource usage, error rates, and more. Prometheus collects these metrics from configured targets at specified intervals.
Just a quick post to upgrade Grafana Loki to v3. If you are not familiar with this project, it is an open-source system for aggregating application, system, and other log files for querying and potentially configuring alert notifications when something goes wrong. Check out a previous post where I set up Loki in my homelab.
First if you are already running a Grafana Loki deployment, upgrade to the latest minor revision of version 2.x.
I use a mobile iOS app on my iPhone and Apple watch to record my workout sessions at the gym. I thought of this little project to encourage me to practice with some Python and SQL with data that I actually care about.
This mobile app allows you to export data from previous workouts in a CSV file. You could import that file to a spreadsheet but I’m going to import it to a Postgresql database and run a few queries.