At Kong, I get a chance to discuss with various organizations their plans and projects to adopt microservices and expose them with APIs. During these discussions, I’ve started to recognize some patterns that appear with regularity – patterns that have less to do with technology than with people. Technologists and engineers like myself usually do not pay too much attention to the “softer” aspects of technology implementations.

As they say in the sports world, “instinctively knowing when to run forward, when to ease back, and when to let someone else take over...these are the marks of a great team and a great team player”. Here, in the tech world, we couldn’t agree more.

Employees today are more mobile than ever. As we saw, due to COVID-19 the majority of organizations moved their employees to a work from home model overnight. This quick change of location forced businesses to implement solutions that would provide their workforces secure remote access to an increasingly complex corporate network.

This blog post is a first of a series on how to leverage PyTorch’s ecosystem tools to easily jumpstart your ML / DL project. The first part of this blog describes common problems appearing when developing ML / DL solutions, and the second describes a simple image classification example demonstrating how to use Allegro Trains and PyTorch to address those problems.

There are lots of applications that users use these days. Some are accessed via the internet while some of them are installed on the user’s computer. The former being categorized as the web-based applications while the latter falling into the desktop applications category. There are a lot of differences in the operating mechanisms of both and some groups even consider either one of them as being better than the other.

With over 1.5 million members, Touring Club Suisse is the largest mobility club in Switzerland. Founded in 1896, TCS provides assistance, road safety education and accident prevention to all travelers and vehicles along the entire Swiss road infrastructure. TCS adopted Xray for their test management in 2015, which allowed them to manage all the testing activity in Jira and have a simple and solid QA and release process all in Jira.

Before I met with Verifone’s executive team in London last year, candidly I didn’t know much about the company. But after learning about how the company is a global leader in payments solutions at the point of sale, with over 35 million payment terminals worldwide, now I see their logo everywhere I go!

In 2009 Node.js opened up a door for front-end developers to dip their toes into the world of servers without having to leave the comfort of their language. It’s almost effortless to get started with Node. You can basically copy-paste an entire HTTP server into existence and then install an ODM and you’ve got your CRUD app ready to roll! However, if we’ve learned anything from the amazing Spider-Man, it’s that with great power, comes great responsibility.

There are two ways you can view the current mappings on your Logit ELK Stacks. One way is to use dev tools in Kibana. You can access Kibana from any of your dashboards by choosing from your dashboard Stack settings > Access Kibana. You can also search for a specific mapping of an Index name. For example if we wanted to see the mappings for the a Filebeat index name we can run the following to return only the desired mappings.

Survival analysis is one of the most developed fields of statistical modeling, with many real-world applications. In the realm of mobile apps and games, retention is one of the initial focuses of the publisher once the app or game has been launched. And it remains a significant focus throughout most of the lifecycle of any endeavor.