Unapologetically Technical Episode 5 – Neil Avery

Blog Summary: (AI Summaries by Summarizes)
  • Neil Avery from Liquidlabs shared insights on creating grid computing systems at major banks and founding a startup called Logscape.
  • The discussion also covered the early days of Confluent, including topics like ksqlDB, NIH, and what makes a successful startup in its early stages.
  • SpecMesh, a tool discussed in detail, was highlighted for its functionality and benefits when used with Kafka deployments.
  • The incorporation of Async API and the advantages of doing so were explored.
  • Two URLs mentioned in the video: [https://www.jesse-anderson.com/2019/10/why-i-recommend-my-clients-not-use-ksqldb-and-kafka-streams/](https://www.jesse-anderson.com/2019/10/why-i-recommend-my-clients-not-use-ksqldb-and-kafka-streams/) and [https://specmesh.io](https://specmesh.io).

Unapologetically Technical is finally back with a new episode!

In this episode of Unapologetically Technical, I had the pleasure of interviewing Neil Avery from Liquidlabs. 

We discussed his experiences creating grid computing systems at major banks like Royal Bank of Scotland and Deutchebank, as well as his journey to founding a startup called Logscape and working as a consultant at Excellian. We also took a trip down memory lane and discussed the early days of Confluent, including topics like ksqlDB, NIH, and what makes a successful startup in its early stages. 

We discussed his experiences creating grid computing systems at major banks like Royal Bank of Scotland and Deutchebank, as well as his journey to founding a startup called Logscape and working as a consultant at Excellian.
We also took a trip down memory lane and discussed the early days of Confluent, including topics like ksqlDB, NIH, and what makes a successful startup in its early stages.

One of the main topics we also covered was SpecMesh, a tool that we delved into in great detail. We talked about how it functions and why it’s beneficial to use with your Kafka deployment. Additionally, we explored how it incorporates AsyncAPI and the advantages of doing so.

Here are the two URLs we mentioned in the video:

 

Don’t forget to subscribe to my YouTube channel to get the latest on Unapologetically Technical!

Frequently Asked Questions (AI FAQ by Summarizes)

Who shared insights on creating grid computing systems at major banks and founding a startup called Logscape?

Neil Avery from Liquidlabs.

What were some of the topics covered in the discussion about the early days of Confluent?

Topics included ksqlDB, NIH, and what makes a successful startup in its early stages.

What tool was highlighted for its functionality and benefits when used with Kafka deployments?

SpecMesh.

What was explored regarding the incorporation of Async API and its advantages?

The advantages of incorporating Async API were explored.

What are the two URLs mentioned in the video?

[https://www.jesse-anderson.com/2019/10/why-i-recommend-my-clients-not-use-ksqldb-and-kafka-streams/](https://www.jesse-anderson.com/2019/10/why-i-recommend-my-clients-not-use-ksqldb-and-kafka-streams/) and [https://specmesh.io](https://specmesh.io).

Where can viewers subscribe for the latest updates on Unapologetically Technical?

Viewers can subscribe to the YouTube channel for the latest updates on Unapologetically Technical.

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