Guavus Blog

Productizing data science applications is complex and requires a huge level of expertise in domains from development to integration to run mode. The monolithic application paradigm is no longer valuable nor valid, and Guavus has the best level of skills to help its customers adopt and build reliable micro-services based architectures.

This article is a condensation of practices observed over a period of 2 years, that have increased the effectiveness of a software development team. The results have been higher customer satisfaction, increase in business and improvement in quality.

Result validation is a very crucial step as it ensures that our model gives good results not just on the training data but, more importantly, on the live or test data as well. This is why a significant amount of time is devoted to this process while building a machine-learning model.

So, are we just coining terms these days? Apparently, TestOps is not just a term. It is the answer to the increased demand for quality and has been around for a couple of years now.

When it comes to troubleshooting a web service and logs don’t help, it is time to use Tcpdump.

5G is not just a terminology, but rather an ecosystem. An ecosystem that will thrive on essential architectural concepts namely SDN, NFV and MEC among others.

Achieving the Right Size of the Hadoop Cluster