Systems | Development | Analytics | API | Testing

Accelerating Code Quality with DORA Metrics

What do Google’s DevOps Research and Assessment (DORA) and Rollbar have to do with each other? DORA identified four key metrics to measure DevOps performance and identified four levels of DevOps performance from Low to Elite. One way for a team to become an Elite DevOps performer is by focusing on Continuous Code Improvement.

Getting Started with Accessibility Testing in Sauce Labs (Deque axe Integration)

Watch this video to learn how Sauce Labs and Deque axe integration allows developers and testers to easily integrate accessibility testing into their quality processes and provides increased visibility into accessibility signals for browser-based accessibility testing.

Scaling Service Mesh Globally and Across Environments

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.

Buying Low-Code Automation: What to Look for and What to Ask

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.

How to ensure data integrity with analytics testing

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.