In the heart of amazing software development, in the city Brno, we launched a blog to share our thoughts.
Can we use the Databricks as a runtime platform for complex applications using the standard development model with git, deployment pipelines and several independent modules / services?
The software during the development cycle will go through many stages. It usually starts as a source code in IDE, different pars will be executed in unit tests, maybe even whole components will be tested. It’s somehow packaged (compiled) and deployed to some server (staging, production,…). That is a very rough lifecycle which is not applicable in all cases, but at least during my time in CloseIT, many projects followed it.
When I started putting together my first AWS SAM project, I was confused with the project structure - as always, when I’m starting new project with new technology. You can easily make a bloated project where code is duplicated in each lambda function.
Here we go again. The last day of June and you can read interesting topics from the development world that we have read this month.
A few days ago, our first company hackathon finished successfully. But in order to define success, we have to define goals. With every new project, we evaluate what technologies to use.
The end of the month is marked by devtips recommended by developers from CloseIT. Look at interesting blog posts and website that we found during May.
In CloseIT, we have a channel on Slack where we share interesting development YouTube channels, blog posts, articles, etc. with each other. Here are our DevTips from last month.
If you develop a public software product that uses third party code, it's very likely that licenses force you to list them on some visible place. You can find them in your smartphone OS or even in a car if you have one with the onboard computer.
Let's say that the ETL tool PDI isn't very suitable for dynamic data processing. But you could probably say something similar about other ETL tools. At the end of the day, you need to tell the software how to transform the data. It is only logical that we also have to define the data structure.
Jira is a popular issue tracking tool and is also used in many businesses as a business process management system (BPM). Sure, there are more suitable tools like jBPM, but Jira is much more user-friendly. And even though it's less feature-rich regarding BPM options, it can be easily extended using plugins written in Java language.
When I started to work in CloseIT, I was eager to understand how the app works. Usually, I try it by trial and fail. On the other hand, each build takes time and it disturbs my workflow. I was wondering if there is a way to make it faster. It was my first work experience with Spring framework, but it didn't take a long time to find people with the same problem, and that's how I found the devtools from Spring.
One use-case of our CRM solution is to run custom calculations with custom ETL jobs prepared by the application users. This is a big advantage of CRM because users have better insight to business logic than developers, which are concerned mostly about the technological side of application.