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.
PGS Software premiers at Cloud and DevOps World event Wroclaw, 25 May 2017: PGS Software, software engineering company, is set to showcase its capabilities at Cloud and DevOps World on 13th – 16th June 2017 at ExCel, London. Cloud and DevOps World is the foremost industry event for DevOps professionals.
Better – Automated Tests in Ruby Using the SitePrism Gem for the Page Object Model Pattern Capybara is a simple Domain Specific Language (DSL), which is totally fine for a small number of automated tests. However, when the quantity of the tests grows, managing them becomes a major undertaking because even small UI changes can disrupt various tests.
PGS Software – AWS Partner! We are thrilled to announce that thanks to our personnel’s great talent, hard work, and dedication, PGS Software has recently become an AWS Consulting Partner and is now a proud member of the Amazon Partner Network!
CodeMobile Developer Conference, Chester, 18th – 20th April 2017 PGS Software Android guru, Tomasz Zielinski, will be speaking at this conference on Wednesday 19th April at 13.45. His talk is “The state of security of Android banking apps in Poland”
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.
