Analyzing Return User Behaviour helps you optimize your site for better engagement and more conversions.

A true service mesh should focus on how to manage and orchestrate connectivity globally. Connecting a new service mesh for each use case is a much simpler problem to solve, but doing so won’t help you scale. You’ll just be throwing a service mesh in each cluster and calling it a day.  The more appealing solution is to stitch together environments.

A revolution is transforming organizations and it's driven by low-code. Using low-code, organizations can quickly build—even in only a few weeks—enterprise applications that would once have taken months to get off the ground. Forrester predicts that by the end of 2021, 75% of development shops will use low-code platforms (up from just 44% in 2020).[1] With that kind of momentum it’s no wonder the low-code market is exploding.

Data collections and analysis is critical to ongoing business operations, but maintaining data integrity is an often overlooked problem. Ensuring data integrity is not only a consumer trust issue, but is often also mandated by legal regulations. Without accurate data, business leaders could make decisions that are slightly (or majorly) misguided.

There's been some mystery associated with the Heroku Salesforce connect that links the Salesforce CRM with the Heroku Postgres database service. This connection is an add-on called Heroku Connect that enables multiple processes and transfers with no coding required and simple point and click executions. Heroku Connect offers bi-directional data synchronization while also creating secure data transfers. This connector also allows a user the freedom to customize and streamline their data transfer processes.

“Data acumen” is a powerful new term. I heard it used recently in relation to a historically hard problem for the Department of Defense (DoD). The problem is the speed of data change. David Spirk, DoD’s Chief Data Officer, gave an historic keynote at GovCon Wire’s Data Innovation Forum, which was held in June 2021. He was joined by three key leaders in DoD data: Thomas Sasala (Navy), Eileen Vidrine (Air Force) and David Markowitz (Army).

Were you an accidental tester? Or was yours a deliberate choice? Whether or not you made the choice on purpose, you would have come across some side effects of being a tester which is: You act and think like one at all times! 😱 You try to break anything you try new, you are skeptical and perform some testing yourself to see if anything new works fine! You chuckle when you learn that there is a silly missed negative testing! Jokes apart, Testing is never an easy job!

Effective Coverage Analysis provides powerful insights into the status of what your team is building, so you can make smart decisions based on real-time analysis. Coverage Analysis in Xray for Server and Data Center provides you the ability to analyze in real-time how requirements, features, user stories, and tests are, in a particular context.

This blog post is part two of a two-part series on how we broke down our monolith to scale our API management with Kong Gateway, the world’s most popular open-source API gateway. (Here’s part one.) At NexJ, the pioneer of intelligent customer management with client engagement products designed for the financial services industry, we sought to capture the full addressable market by breaking down the monolith and going API-first.

As we take stock of how COVID-19 has affected the way we operate, nothing in technology is more apparent than the switch to digital. Although many of us have transitioned from water-cooler conversationalists to reluctant zoom dwellers, the impact on business processes themselves might actually be more profound. According to McKinsey, coronavirus has acted as an accelerant on companies offering digital products and services.