Grafana postgres exporter11/8/2023 For your applications and services that you wish to track, it asks only that you expose a HTTP endpoint providing the metrics you wish to collect at a single point in time. Prometheus makes this entire process relatively easy and painless. This is where most roads point to using Prometheus, as our centralized all-in-one-place telemetry collection engine. But now I have to deal with another component, the actual telemetry collection process. I’m not complaining, it does a great job at what it needs to do. It turns out that Grafana only performs visualization - it assumes you have the telemetry data (most likely time-series data) stored nicely somewhere waiting to be visualized. Unfortunately I think a good number of people like me fell into this trap where we assumed that Grafana was a magic black box that would just produce amazing graphs and visualizations from our services in production. Who doesn’t like beautiful graphs about metrics, especially in production ML systems? When we currently talk about observability and telemetry in systems, Grafana is often the tool that comes to be mentioned. Falling into the trap of beautiful graphs This motivated us to add a monitoring tool to our overall system. It would be immensely helpful for debugging and monitoring system performance in production if we collected telemetry data about the various parts of our system, and better still collect it in one place. In this long pipeline from stream to recommendations, anything could go wrong anywhere. In our project, we’re building a movie recommendation system for users, based on live Kafka stream of data from users watching and rating movies. It’s even better when combined with alerts for when things go wrong. This is great for large production systems with many moving parts to keep track of - putting all the relevant charts, graphs, and meters in one place, rather than checking tens or hundreds of places. It’s a nice all-in-one monitoring application to keep all the monitoring from different feeds and sources in one place. Grafana is an open source analytics and interactive visualization web application, but around the Internet it seems to be mostly used with time series data. Using Grafana, Prometheus, and PostgreSQLĪs an add-on to the project for my software engineering for AI class, I tried adding Grafana as a means of visualizing our telemetry (metrics) for our database instances, as well as our data ingestion services.
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