supabase-js VS Grafana

[Edge Functions] Custom domains and vanity domains support for Edge Functions. PR

First of all, the code you provided is not directly supabase, but is whatever is provided from the javascript library. The auth part is then redirecting to the gotrue-js library, and as seen here [Gotrue-JS#L238] it returns a `Promise` and that specific type is declared here Where we see it could be two return types. ```ts | { data: { user: User | null session: Session | null } error: null } | { data: { user: null session: null } error: AuthError }

Next up, Supabase released v2 of their JavaScript client library (supabase-js), which brought with it a number of developer experience type improvements, and streamlined how we use some of the API's. A number of methods were also deprecated in this new release, which we'll cover later in this guide.

We install the Supabase client library and also Chakra-UI which we will be using to build our React components.

The last part is the easiest as we simply need to connect Supabase to our Ionic app and call one function. Get started by bringing up a new Ionic app and install the Supabase JS client:

Under src/lib I have a .ts file where I create a supabase client inside.

First and foremost, the language and framework – Typescript & React. Typescript is a must for a project of this size. It provides safety and peace of mind as I iterate quickly to solve bugs and add new features. React is a by-product of the next two things I will mention, Next and Remix. Both of these are higher abstractions on top of React and supply incredible tooling to build fast server side rendered applications. Picking one or the other was driven by my database and auth provider, Supabase. I could have tried to make it work with Remix, but there was already an authentication helper for Next from the Supabase community so I decided on Next. Still using Remix for this current website since I do love Remix so much.

Have a look at https://postgrest.org/en/stable/. They do something in this direction and e.g. supabase.io uses them. Their approach is, if you have a database you have a REST API.

Monitoring application logs is a crucial aspect of the software development and deployment lifecycle. In this post, we'll delve into the process of observing logs generated by Docker container applications operating within HashiCorp Nomad. With the aid of Grafana, Vector, and Loki, we'll explore effective strategies for log analysis and visualization, enhancing visibility and troubleshooting capabilities within your Nomad environment.

To help us visualize these scenarios, we'll build a Grafana Dashboard so we can follow along.

Visualization and Analysis: Choose a tool with intuitive and customizable dashboards, charts, and visualizations. A question to ask is, "Are the visualization features of this tool user-friendly and adaptable to our team's specific needs?" Tools like Grafana and Kibana provide powerful visualization capabilities.

Prometheus: Open-source monitoring system. Often used together with Grafana.

Grafana

Yes I'm aware that Grafana is open source but the method I used to find the API endpoints is far quicker than digging through hundreds of files in a codebase I'm not familiar with.

So, you will add one last container to allow us to visualize this data: Grafana, an open-source analytics and visualization platform that allows us to see traces and metrics simply. You can set Grafana to read data from both Tempo and Prometheus by setting them as datastores with the following grafana.datasource.yaml config file:

In example above, we use 2 additional parameters: code (HTTP response code) and page (page identifier), which provide detailed statistics. For example, you can build such graphs in Grafana:

Robin switched to the Grafana dashboard tab, and sure enough, the 5xx volume on web service was rising. It had not hit the critical alert thresholds yet, but customers had already started noticing.