Systems | Development | Analytics | API | Testing

Many companies have embarked on microservices software projects in an effort to make modernize their suite of technology systems and reap the benefits that can come from deploying such an architecture. In the microservices model, applications are divided into a series of interconnected services based on operational capabilities. Each service supports a distinct set of functionality, effectively acting as a mini-application with its own operational logic, adapters, and even database schema.

Becoming a data-driven organization is not exactly getting any easier. Businesses are flooded with ever more data. Although it is true that more data enables more insight, the effort needed to separate the wheat from the chaff grows exponentially. Doing so and truly understanding the data is more important than ever, especially when data privacy regulations are tightening.

Thank you for your interest in the 451 Research Report, Living on the edge: A primer on hybrid cloud and edge infrastructure. You can download it here. 451 Research: Living on the edge: A primer on hybrid cloud and edge infrastructure Published Date: October 11, 2021 Introduction Without the internet, the cloud is nothing. But few of us really understand what is inside the internet. What is the so-called ‘edge’ of the internet, and why does it matter?

In my 18 years of working in quality engineering and the testing community, I’ve developed some best practices to help organizations create and manage their overall test strategies. This is the first in a 10-week series on what testers wish their CIOs and CTOs knew about testing. Each week, I’ll share my experience to help educate tech leaders on key priorities their testing teams need them to understand. This week, we’ll talk about the user experience.

An enterprise data warehouse is critical to the long-term viability of your business.

Keep track of our data connector and dbt package releases with monthly updates.

In a perfect world, systems or automated tests would never fail – everything in software test reports would, literally, “go green.” And to add to the stress, failures don’t just always go our ways to fail for the same reason. There’s something different every time: bugs in the AUT, errors in the test case itself, or problems within the structure to cause timeouts during execution.

Changing the technology an organization works with is a bit like taking up a new sport. Your initial excitement leads you to buy the most expensive equipment you can find, leaving you soon to realize that your new tools have created a steep learning curve. Transitioning out of monolithic applications to microservices is quite similar.

In modern application architecture and development, there has been a push from monolithic applications towards microservices. This has made microservices frameworks (micro-frameworks) very popular since they make it easier to prototype, design and build microservices applications. Spring Boot and Quarkus are both very popular microservices frameworks for building cloud native Java applications.

At its most basic level, DevOps—a combination of development and operations—refers to a set of practices that streamline application development at every stage, from building and testing to deploying and monitoring. DevOps largely aims to break down silos and improve collaboration for teams looking to increase agility without compromising on software quality. Unfortunately, traditional high-code methods of development present a few challenges to successful DevOps transformations.