Day: September 27, 2022

Policy-as-code is helping prevent cloud misconfigurations through intelligent security policy automation. These misconfigurations occur any time there is an error in how infrastructure or apps are set up. They can significantly impact how an organization’s cloud resources and overall IT infrastructure operate, so it’s important to eliminate them. 

Many aspects of IT rules and conditions management can be automated with policy-as-code (PaC). By removing manual procedures from the equation, PaC makes cloud management and execution safer and simpler. 

I have lost count of the number of times I have been told that Java is not a suitable language in which to develop applications where performance is a major consideration. My first response is usually to ask for clarification on what is actually meant by “performance” as two of the most common measures - throughput and latency, sometimes conflict with each other, and approaches to optimise for one may have a detrimental effect on the other. 

Techniques exist for developing Java applications that match, or even exceed, the performance requirements of applications that have been built using languages more traditionally used for this purpose. However, even this may not be enough to get the best performance from a latency perspective. Java applications still have to rely on the Operating System to provide access to the underlying hardware. Typically latency-sensitive (often called “Real Time”) applications operate best when there is almost direct access to the underlying hardware, and the same applies to Java. In this article, we will introduce some approaches that can be taken when we want to have our applications utilise system resources most effectively. 

In the mobile Internet era, people are increasingly using mobile apps for a variety of different purposes, such as buying products online, hailing taxis, and much more. When using such an app, a user usually needs to manually enter their address for package delivery or search for an appropriate pick-up and drop-off location when they hail a taxi, which can be inconvenient.

To improve user experience, many apps nowadays allow users to select a point on the map and then use the selected point as the location, for example, for package delivery or getting on or off a taxi. Each location has a longitude-latitude coordinate that pinpoints its position precisely on the map. However, longitude-latitude coordinates are simply a string of numbers and provide little information to the average user. It would therefore be useful if there was a tool which an app can use to convert longitude-latitude coordinates into human-readable addresses.

I love ClojureScript. The language, the look, and the feeling when I type the code to make my React components with it make me stay up all night. It actually did yesterday when I try to pick up on a friend set up and get back to a modern environment to do my coding.

Some time ago, I wrote the Introduction to Spring Data Elasticsearch 4.1 article. As I promised, I want to continue with a search feature. More specifically, the topic is its pagination part. Therefore, this article has these goals:

1. Update my sat-elk project to use Spring Data Elasticsearch 4.4
2. See several options to paginate results

Note: I recommend reading the previous article in order to understand the City domain which is used below. It's not needed from the technical point of view, but it can help to understand the presented examples more.

In this post, you will learn how to set up a basic Ansible Inventory. Besides that, you will learn how to encrypt sensitive information by means of Ansible Vault. Enjoy!

1. Introduction

In a previous post, you learned how to set up an Ansible test environment. In this post, you will start using the test environment. Just as a reminder, the environment consists of one Controller and two Target machines. The Controller and Target machines run in a VirtualBox VM. Development of the Ansible scripts is done with IntelliJ on the host machine. The files are synchronized from the host machine to the Controller by means of a script.

One instance of Jenkins is fine if you’re running a small project with few developers. But you’ll find, as your team and product grow, that a single instance may not remain stable. When the number of commits increases, so do the processes Jenkins needs to run, and a lone instance’s performance can soon falter and slow your team down.

Thankfully, Jenkins is a scalable platform. Scalability means as your processing needs grow, Jenkins can grow with them.

Apache APISIX is built upon the shoulders of two giants:

• NGINX, a widespread open source reverse-proxy
• OpenResty, a platform that allows scripting NGINX with the Lua programming language via LuaJIT

This approach allows APISIX to provide out-of-the-box Lua plugins that should fit most business requirements. But there always comes a time when generic plugins don't fit your requirements. In this case, you can write your own Lua plugin.

The branching strategy has been reimagined. Meet the mind behind it.

In his first-ever podcast appearance, Rouan Wilsenach, author of "Ship/Show/Ask: A Modern Branching Strategy," joins Dev Interrupted to talk about his work as an author and the inspiration behind his musings on branching strategy. Rouan has been more than an inspiration, he’s changed the way our dev teams work - and he might just change yours, too. If you haven’t already read "Ship/Show/Ask," you should. It’s one of the most influential articles we’ve read in years.

Many enterprises choose a cloud environment to power the work of their data science team. If you chose the AWS SageMaker Studio, this article might interest you. Having both the data lake and the data scientist environment makes it easy to integrate them. You can choose what data any given data scientist is able to see. You might want a data scientist only to be able to use this data inside the SageMaker Studio environment. However, SageMaker Studio has a download button that lets data scientists download any data they have been working on. Once they have downloaded data to their computers, they are free to share it anywhere and with anyone.

Luckily, it is possible to disable this download button. Recently, it was only possible to disable the download button in SageMaker Notebooks. This article from Ujjwal Bhardwaj shows how to disable it in SageMaker Notebooks.

Learning a cloud platform takes a long time. Google Cloud and AWS have 200+ services each.

If you are familiar with AWS, this article is the shortcut you need to get quickly started with understanding Google Cloud.