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Microservices

Microservices

Search complete. 15 mentions across 7 episodes found for "Microservices".

Aug 25, 2026

Mark RichardsHOST
23:00
...
Mark RichardsHOST
23:00
Building Microservices.
Mark RichardsHOST
23:02
And, uh, he coined it kind of as a pattern.
Mark RichardsHOST
23:05
And a lot of questions came up, like, well, how do you implement it? Well, however you want to [laughs] was really Sam's answer.
Neal FordHOST
26:48
... to scalability.
Neal FordHOST
26:49
[laughs]
Mark RichardsHOST
26:50
Microservices.
Neal FordHOST
26:51
Exactly.
Artificial IntelligenceNARRATOR
8:57
37.
Artificial IntelligenceNARRATOR
8:57
Creating Microservices in Nest.
Artificial IntelligenceNARRATOR
9:00
JS This article attempts to demystify microservices by showing devs how to create a set of microservices using one of their favorite frameworks, Nest.
Artificial IntelligenceNARRATOR
9:09
JS.
Artificial IntelligenceNARRATOR
3:09
Tons of stuff, 15.
Artificial IntelligenceNARRATOR
3:11
Microservice, add, observability, equals microservice, add, monitoring.
Artificial IntelligenceNARRATOR
3:16
You are reading this content, which means that you are not novice to the microservices field.
Artificial IntelligenceNARRATOR
3:21
So let me just scratch the surface of it before moving to observable microservices.
Brittany EllichHOST
26:01
All right.
Brittany EllichHOST
26:02
Microservices.
Brittany EllichHOST
26:02
We're moving on to architecture and tools.
Brittany EllichHOST
26:05
Microservices.
Brittany EllichHOST
26:06
Overrated or underrated?
Erika EggemeyerHOST
26:09
So I feel like Microservices had a huge heyday and like, I think the default of microservices was overrated at some point.
Erika EggemeyerHOST
26:23
I think we've come back around where we're like at a good place with it.
Erika EggemeyerHOST
26:28
I think microservices still do have their place and can be very useful.
Indranil TiwaryGUEST
25:35
It is a monorepo, by the way.
Indranil TiwaryGUEST
25:49
We are shifting back from this whole mo- microservices and everything.
Indranil TiwaryGUEST
25:53
You can manage your microservices, but imagine a startup actually having a monorepo, which only the big fours were able to do with their own version control system because of the lines of code.
Indranil TiwaryGUEST
26:04
So today, like we were having different-- We have multiple products, right? Like it's a platform, it's-- We are solving for equity, so we are trying to, uh, touch multiple stakeholders.
Indranil TiwaryGUEST
26:16
Now, you have to think in a different way because it's somewhere finance and like all those ICPs are different, so your products are different, but essentially the engines are same.
Christofer DutzGUEST
2:53
But then I turned to classical IT.
Christofer DutzGUEST
2:56
How boring, right? But speed forward to the, yeah, let's say, 2010s when everything was about cloud and everything was, oh yeah, microservice here, microservice there.
Christofer DutzGUEST
3:12
And it was sort of like, I just thought it was boring because, uh, yeah, well in the cloud, I guess you can get any piece of really bad software to run.
Christofer DutzGUEST
3:24
You just throw more resources at it.

12 MINS LATER

Phil SeboaHOST
15:17
How many contributors do you have to the project? I
Christofer DutzGUEST
15:22
think something around 25 to 30.
Christofer DutzGUEST
15:28
To say how many still active ones, I'd probably reduce that to something around five, because At the beginning, a lot of, let's say, IT folks joined in because they also shared the same dream of doing consulting for the industry instead of doing boring cloud microservice stuff to finally start controlling robot arms with lasers attached.
Christofer DutzGUEST
16:00
But the thing was, over time, Most people realize that the automation industry just doesn't do business with small consulting companies.
Artificial IntelligenceNARRATOR
5:38
Twenty-six, Kafka Connect Framework: Creating a Real-Time Data Pipeline Using CDC.
Artificial IntelligenceNARRATOR
5:44
Microservices, machine learning, and big data are making waves among organizations.
Artificial IntelligenceNARRATOR
5:49
Curiously, they all share the same biggest concern, data.
Artificial IntelligenceNARRATOR
5:53
Twenty-seven, Jaeger Persistent Storage with Elasticsearch, Cassandra, and Kafka.

13 MINS LATER

Artificial IntelligenceNARRATOR
18:37
Like anything else, you need to invest a significant amount of time in getting across Kafka and event streaming in general before you become fully proficient and can harness its might.
Artificial IntelligenceNARRATOR
18:47
And be prepared to face one or two frustrations, to put it mildly, along the way.
Artificial IntelligenceNARRATOR
18:52
Seventy-two, Turbocharging Eye Sentiment Analysis: How We Hit Fifty K RPS With GPUMicroservices.
Artificial IntelligenceNARRATOR
18:59
The sentiment analysis stack was one big code base for data ingestion, model inference, logging, and storage.

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