Work-In-Progress: Studying Ethernet Physical Layer 1

How we upgraded an old, 3PB large, Elasticsearch cluster without downtime. Part 1 - Introduction

Guide to Projections and Read Models in Event Driven Architecture

Issue #323

1/25/2023

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Howdy
Someone said they missed the comprehensive intros. Don't worry, those aren't gone forever! Sometimes I feel inspired to write something and other times, I don't. It's just the way the cookie crumbles unfortunately. Once I have something more interesting to write about, I'll fill you guys and gals in.
I guess there is one small update. I've setup a tentative partnership with someone to help grow crosspromote.io. We'll see how things go, but could lead to some exciting developments. Also if anyone is interested in helping with the newsletter (working on the community and/or getting sponsorships), please email me!
Anyway, here's the issue!
PS. If there's something specific you want me to write about, feel free to email me suggestions!

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Work-In-Progress: Studying Ethernet Physical Layer 1

Published: 10 January 2023
Tags: hardware, networking


Mete Balci is working on an article that dives deeply into the ethernet physical layer.
Some highlights:

  • Mete explains the different technologies used for 10Base-TX, 100Base-TX, and 1000Base-TX
  • Mete describes the equipment required for testing
  • More hardware related than software


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How we upgraded an old, 3PB large, Elasticsearch cluster without downtime. Part 1 - Introduction

Published: 11 November 2022
Tags: distributed systems, infrastructure


Karl Neyvaldt's series of articles covers how his team was able to upgrade an Elasticsearch cluster with zero downtime.
Some highlights:

  • Describes issues with old cluster
  • Demonstrates improvements as the result of the upgrade
  • Briefly goes over requirements for the project


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Guide to Projections and Read Models in Event Driven Architecture

Published: 20 January 2023
Tags: distributed systems, software architecture


Oskar Dudycz presents how projections can be used in event sourcing.
Some highlights:

  • Event sourcing is when you store events and read models in the same relational database
  • Projections can be used to interpret the events and read models
  • Projections can be used to find gaps, build a recommendation engine, and more


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How did I do?

* Amazing
* Articles not relevant to me
* Articles were relevant, but badly written
* Summaries told me everything I wanted to know
* I like turtles

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