Automation testing tools are applications designed to verify function and/or non-functional requirements via automated test scripts. With the Agile and DevOps manifesto as the standard of software testing, setting a clear-cut automation testing tools evaluation strategy is key. Ultimately, this strategy will need to answer the questions of: Plus, there isn’t really a one-size-fits-all automation tool. It really boils down to your team’s specific needs.

This is a recap article with all the answers to the questions I received during my previous talks at Droidcon, WeAreDevelopers, and more.

Below are some key insights on how LoadFocus may help you with achieving your goals.

From setting benchmarks and projections to running a cohort analysis, 30 professionals reveal their best practices.

This week, ThoughtSpot gathered virtually with thousands of global customers, partners, and friends to share our vision for the future of analytics at Beyond 2021. A future where everyone in your business can create personalized insights and operationalize them to drive smarter business actions. And where innovative brands like Snowflake, Starbucks, Just Eat Takeaway, and Opendoor are already building their businesses on data with the Modern Analytics Cloud.

Can you believe that the holiday season is almost upon us? High time for an update from your trusted load testing provider!

In our last blog post, we discussed the evolution of APIs from early computing to the PC era. In this post, we’ll discuss the evolution of APIs in the early internet age. Along the way, we’ll touch upon associated core technologies such as eXtensible Markup Language (XML) and discuss the introduction of web services and its common components: SOAP and WSDL.

In the latest instalment of our interviews speaking to leaders throughout the world of tech, we’ve welcomed Steve Dieter, CTO of Arryved.

As one of the most popular relational database management systems, MYSQL gets a lot of use from a variety of applications. With the popularity of Python in web-based applications, it's essential that MySQL and Python can communicate with one another. Read on to learn more about MySQL and to discover three ways to integrate it with Python.

We are excited by the endless possibilities of machine learning (ML). We recognise that experimentation is an important component of any enterprise machine learning practice. But, we also know that experimentation alone doesn’t yield business value. Organizations need to usher their ML models out of the lab (i.e., the proof-of-concept phase) and into deployment, which is otherwise known as being “in production”.