Pilgrim Engineering Architecture Technology Podcast - PEAT UK Peter Pilgrim

Special episode featuring Peter Pilgrim speaking to the London Java Community JUG on the evening of Tuesday 16th October 2018

Recorded at CodeNote, Skillsmatter

Abstract:

There are multiple ways to get into Java software engineering. Many people will have heard of the brand idea: Java EE. They might be aware of the history of enterprise Java computing, some will know about the origins of Java EE, its controversial past, but also the surprising imaginative concepts of this fundamental piece of commercial and open source work, we will meet the people and the wider community. Java EE was a standard bearer most of the life of the Java Virtual Machine. My talk will give background in Java EE, we will pick up the pieces and find out the answers to several questions. We will examine several terrific innovations, we will also find why these were simply not enough to satisfy the competition. We will look at Java EE’s prognosis. We will witness the crisis of Java EE and then launch a projectile into the far future. How will Jakarta EE meet the challenge of micro-services oriented architecture M/SOA? How does the Microprofile deliver the sustainable promise for the current cloud-native and future digital applications?

In this episode, we cover the deployment of Jenkins master to AWS EC2 instance. We go through selecting the appropriate AMI, configuration, security group and launching. We log into the EC2 instance, configure a bunch of stuff and then fire up Jenkins a single instance master node. What is hard about this task? It is easy.
Caution: you will have experience of essential AWS console configuration before you try this at home (or at work)

A deep discussion microservices and data, aggregating the query and recommendations to reduce the binding between the data sets. An overview of types of database that suit the transactionable requirements of the business and the stakeholder. Ideally, each microservice class should have exclusive private access to a schema, but often business and engineering break the rules, but why?

How do microservices M/SOA deal with data?

Software developers certainly write code that processes data. We can become blind and less caring to the data that we are asked to process. I certainly understand this way of working when building a service. All we care about is where does that data arrive? Where do we need to push that data? Do we need to save into a persistent store? Do we need to transform the data from one form to another form in the middle of the operation?

As DevOps engineer, you probably already heard of Jenkins and continuous integration. This episode covers a very brief history of Kohsuke Kawaguchi's pet project Hudson that eventually became Jenkins, then we make a deep dive into Pipelines. There are two types of pipelines within Jenkins: declarative and scripted pipeline syntax.

What is a definition of decent DevOps?

In this episode, we attempt find out the answer.