IMTI

Architecting, Developing, SRE, DevOps, AI/ML

Ethereum Ethstats

Learning the Ethereum Blockchain through its metrics.

The eth-netstats project provides a great dashboard interface for monitoring the status of an Ethereum Blockchain from the perspective of its nodes. The website https://ethstats.net/ reports statistics from an extensive list of Ethereum nodes on the public Ethereum Blockchain, however, the eth-netstats software that drives https://ethstats.net/ can also be used to monitor a Private Ethereum Blockchchain as I demonstrate in the previous article Deploy a Private Ethereum Blockchain on a Custom Kubernetes Cluster.

The eth-netstats service consumes Ethereum statistical metrics provided by individual Ethereum nodes. Check out the documentation on Geth if you are interested in running an Ethereum miner or transaction only node and pointing it’s statistical output to an eth-netstats instance.

Posted by Craig Johnston Saturday, September 22, 2018

Ethereum Blockchain on Kubernetes

Deploy a Private Ethereum Blockchain on a Custom Kubernetes Cluster.

Blockchain technologies have been made famous by Cryptocurrencies such as Bitcoin and Ethereum. However, the concepts behind Blockchain are far more reaching than their support for cryptocurrency. Blockchain technologies now support any digital asset, from signal data to complex messaging, to the execution of business logic through code. Blockchain technologies are rapidly forming a new decentralized internet of transactions.

Kubernetes is an efficient and productive platform for the configuration, deployment, and management of private blockchains. Blockchain technology is intended to provide a decentralized transaction ledger, making it a perfect fit for the distributed nature of Kubernetes Pod deployments. The Kubernetes network infrastructure provides the necessary elements for security, scalability and fault tolerance needed for private or protected Blockchains.

Posted by Craig Johnston Tuesday, September 4, 2018

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ABOUT ME

I lead a talented team of software development and creative engineers, covering many industries looking to collect, analyze, move, buffer, queue, process and present data in significant ways. My expertise and that of my team revolve around microservices, artificial intelligence, algorithms, and machine learning.

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