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Kick-Start Automation Testing with Katalon Recorder

Software testing was initially a manual activity, however, due to the importance of speedy delivery, the transition to automation testing is predictable. Unfortunately, this shift can become an overwhelming voyage, especially for startups without a dedicated QA team. Suppose you are a manual tester (or developer) seeking an automation solution to speed up your project.

Automating the API Lifecycle With APIOps: Part II

In the last blog post, we discussed the need for both speed and quality for your API delivery and how APIOps can help achieve both. In this part of our blog post series, we’ll walk through what the API lifecycle looks like when following APIOps. We’re still following the best practice we’ve established in the industry over the years, but what you’re going to see is that the processes we follow at each step of the API lifecycle – and between each step – have changed.

Cloud Testing at Facebook

At Speedscale, we are on the cutting edge of defining autonomous testing for the cloud era. However, we aren’t the only company trying to solve this problem and we enjoy learning from every perspective. That’s why Facebook’s recent blog article about autonomous testing caught my eye. They’ve built a sophisticated autonomous test system that introduces many of the same techniques we utilize.

Why Your Company Needs API Management

When you need to get new features and products out the door fast, API management is the driving force to keeping everything on track. According to the "State of API Integration 2020" report by Cloud Elements, 83 percent of respondents say that API integration has become a critical part of their business strategy as they move forward on their digital transformation efforts. Leveraging integrations is what helps these companies agile and able to respond quickly to customer demands.

How to Bring Breakthrough Performance and Productivity To AI/ML Projects

By Jean-Baptiste Thomas, Pure Storage & Yaron Haviv, Co-Founder & CTO of Iguazio You trained and built models using interactive tools over data samples, and are now working on building an application around them to bring tangible value to the business. However, a year later, you find that you have spent an endless amount time and resources, but your application is still not fully operational, or isn’t performing as well as it did in the lab. Don’t worry, you are not alone.

Cloudera Machine Learning Workspace Provisioning Pre-Flight Checks

There are many good uses of data. With data, we can monitor our business, the overall business, or specific business units. We can segment based on the customer verticals or whether they run in the public or private cloud. We can understand customers better, see usage patterns and main consumption drivers. We can find customer pain points, see where they get stuck, and understand how different bugs affect them.

The Business Case for Sustainable Supply Chains Is in the Data

Businesses and consumers are getting better at recognizing the direct carbon cost of the products they use. As such, we’re seeing an increased use of sustainable materials in consumer goods and global products. That is a big positive trend, but there’s a bigger picture to explore. Value chains make up 90% of an organization’s environmental impact, according to the Carbon Trust.

Canva or Affinity Designer: Which will you choose?

Graphic design is the art through which messages and ideas are communicated visually. Graphic design is also known as communication design and refers to the way designers connect with people through graphics or images. Elements of graphic design such as color, line, shape, space, texture, etc., influence the perception of consumers and viewers. Graphic design is a field that has an impact in various fields around the world.

TestOps: The Future of Software Testing

Although terms like “quality testing” may seem modern, software testing has been around since the advent of computing roughly 70 years ago. Harvard University scientist Grace Murray coined the terms “bugging” and “debugging” in 1947 when a literal “bug” — in this case, a moth — got stuck in the computer circuitry and interrupted a connection.