Developers make fun of legacy systems because we're scared of them. We're afraid that the tiniest change will cause the app to break in unexpected ways. We're afraid we won't realize it until a customer complains. One way to combat this fear is through testing. In this article, José Manuel shows us how to retrofit legacy systems with acceptance test suites so we can maintain them with less fear and more confidence.
Perfecto is thrilled to share the latest integration in its robust portfolio, Bitrise. With Perfecto providing the stable testing cloud filled with devices and browsers, and Bitrise executing CI/CD, teams can run mobile app testing at scale and achieve immediate feedback.
Most companies strive to achieve periods of hypergrowth and when they’re in it, their goal is to remain there, riding those waves up as far as they possibly can. ‘Hyper growth’ is a term first coined by Alexander V. Izosimov. The World Economic Forum, taking it a step further, explained it as a company’s “need to have a compound annual growth rate (CAGR) of greater than 40%.”.
“Build vs Buy” is an important decision every technology strategist has to make. With the rise of open source and the wealth of freely available software, organizations have the flexibility to build custom solutions when off-the-shelf solutions don’t directly address their needs. In the domain of enterprise data platforms, many organizations have leveraged the open-source ecosystem to build tailored solutions, expending a lot of resources in the process.
If “necessity is the mother of invention,” COVID-19 forced many businesses around the world to rethink their digital transformation, data and analytics strategies. Out of every crisis, there will be opportunities. Although the current pandemic has certainly acted as a black swan event in some cases impeding progress, it has, nonetheless, accelerated several of the trends already pushing toward a digital future.
We’re excited to introduce v 0.15 of Allegro Trains. With this version we’ve taken Trains one step further to provide even more powerful features for the community to manage their AI workloads.