I did a thing today.

I deployed a dedicated @ethereum from @ethereumfndn RPC Node on Google Cloud with full logging, metrics and alerts. I configured a single Linux for full computations to deploy two services. Geth, as the execution layer and Lighthouse, as the consensus layer. The combination forms the eth RPC node.

Ethereum is the world computer. The universal platform for cryptocurrencies, blockchain apps, stablecoins, and decentralized technologies.

The Ethereum Foundation (EF) is a non-profit that supports Ethereum. Learn more at ethereum.foundation.

@lighthouse with the storage @lighthouse-web3 were integrated to serve as one of the clients that call the execution layer the go-etherum (Geth) which both run in parallel to each other and work together. The Geth helped establish an authrpc endpoint and port for the lighthouse to connect.

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DevOps || MLOps || Web 3 || Golang (Backend)

The endpoints were protected by a simple security token generated and saved locally on the Linux locally, the security provided the route and the execution endpoint to connect to the Geth.

The @gcp compute engine used got attached to an external public IP address, service account with necessary roles for metrics and logging. All this provide an interface to use the GCP Prometheus to control the log before connecting it to other platforms like grafana

I am currently writing a step by step guide on how I achieved this and will be publishing it soon. But before then, follow for more things around DevOps, Platform Engineering and Web3 deployment.

We can connect on X as well

I am currently writing a step by step guide on how I achieved this and will be publishing it soon. But before then, follow for more things around DevOps, Platform Engineering and Web3 deployment.

We can connect on X as well https://x.com/taiwrash

Memer | Web3 Frontend Engineer | Computer Scientist | Superhuman