10 Reasons Why You Should Adopt Microservices You have probably heard the following sentences numerous times: Microservices are the future of software. Monoliths are nasty. You should migrate. Netflix is doing it, Amazon is doing it, Spotify is doing it. Lists of benefits littered with words like agility, performance, high availability, lower costs, agility, faster time-to-market… Oh…
Why You Should Build a Progressive Web App If you are a business owner rather than a software developer there is a good chance you don’t know what is so fantastic about PWA.
LINQPad – The .NET Programmer’s Playground I use LINQPad almost every day to execute any C# code I write. If you want to see how valuable tool it is, just read this article till the end.
JUnit 5 – a New Java Unit Testing Method Testing your application should be a development step just as important as programming. Of course, testing everything manually would be very time-consuming and tiring. When you think of “unit testing”, I bet you think of JUnit. The new, fifth version of this framework caught my attention some time ago and so I decided to share a few facts and code samples.
Hoverfly – your best friend in API simulation There is no doubt that developing and testing in microservice architecture is difficult, due to many dependencies. This article describes how Hoverfly, the smallest service virtualisation tool out there, addresses a few problems you may encounter at work.
The Messages View – Online Communicators Made Easy Our objective was to create a universal messages view for all types of communicator messaging apps. This idea was flagged by our team leader during one of our brainstorming sessions. What quickly caught our attention when we were attempting to create a user comments screen in our other project was the lack of a similar component in an open source space.
Spark Memory Management Part 2 – Push It to the Limits In Spark Memory Management Part 1 – Push it to the Limits, I mentioned that memory plays a crucial role in Big Data applications. This article analyses a few popular memory contentions and describes how Apache Spark handles them.
Spark Memory Management Part 1 – Push It to the Limits One of Spark's selling points is that it takes 10-100x less time to finish a similar job written as Hadoop Map-Reduce. The trick is to store data reliably in in-memory – this makes repeatedly accessing it (ie. for iterative algorithms) incomparably faster.
Docker and PHP Performance on Windows I have been using Docker for a year and I have been enjoying it so much that I cannot imagine my job without it. I work on the Windows operating system but I am also familiar with Linux. Everyone knows that Linux is faster for software development but I wanted to measure how fast it really is in order to choose the best configuration for myself. That is why, I did several performance tests and this article aims to describe them.
Doctrine’s Second Level Cache in a Symfony Application This article describes how to improve your Symfony app’s performance by introducing Doctrine's second level cache. All conclusions were made after testing with Redis 3.0 and MySQL 5.7.
