metamask-extension VS Grafana

Have an Ethereum wallet, preferably Metamask installed.

A  Metamask Account.

Plenty of projects are source-available, but not open source, and get tons of issues, and even contributions (https://github.com/MetaMask/metamask-extension off the top of my head)

You can create an attestation based on an existing schema or create your own. Schemas define the format in which attestations will be made, and in this case, we will use the Is Human schema to attest that the owner of a certain address is human. For this example, you only need to connect your Metamask wallet (or any wallet) to Scroll Sepolia, then enter the address you want to attest and click Make attestation. You can choose whether you want the off-chain attestation, i.e., free, obtained only by signing a transaction. Alternatively, you can choose to make it on-chain and pay for the transaction to make it public and connect it to smart contract logic. In this case, you will need to obtain funds in Scroll Sepolia through a Scroll Sepolia Faucet.

Metamask (9000 GitHub Stars) https://github.com/MetaMask/metamask-extension

For this tutorial you will need Metamask or other wallet of your choice, with Scroll Sepolia funds that you can get from a Sepolia faucet and then bridge them to L2 using the Scroll Sepolia bridge. Alternatively, you can use a Scroll Sepolia Faucet to get funds directly on L2.

16) Open Metamask app. In this instruction we will use Metamask extension for Chrome browser.

> I get a 3-5 sec lag on launch [0] as it prepares the browser to block ads.

uBO is typically ready in a fraction of second, so "3-5 sec" is not normal. In Firefox all extensions sit in the same process, so it's possible another extension is preventing uBO to be ready in a timely manner, this has happened[1].

[1] https://github.com/MetaMask/metamask-extension/issues/13163

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.