Checklist of Questions to Ask When Performance Testing

Suppose you have an e-commerce application and want to make sure it's performant. Load tests can help prevent issues under expected loads, but what happens if there's an unexpected load from a social media promotion or holiday sale? What if high traffic persists for several hours or days? Load tests are the most popular type of performance test, but they can't answer all performance-related questions.


TestComplete Furthers UI Innovation and Automation with Version 14.3

TestComplete is finishing out 2019 on a high note, following previous releases that included AI-powered visual recognition, integration with Zephyr for Jira, support for Shadow DOM, tight integration with Azure DevOps, PDF testing, and major enhancements in performance and stability of the platform. We also introduced native support for BDD-style Gherkin syntax through our integration with Hiptest, part of the SmartBear BDD portfolio that also includes Cucumber.


AutoML - What is it Good For?

The present state of anticipation and promise of AutoML is best captured by this quote from Issey Miyake, a famous Japanese fashion designer. Issey, who blended technology in fashion design, was also known for the signature black turtlenecks worn by Steve Jobs. Today, AutoML is the unknown, the mysterious and is made to look beautiful via jazzy UIs of some proprietary tools in the market.


Why CJIS mobile compliance might be easier than you think

Although we just wrapped up National Cybersecurity Awareness Month in October, security professionals never take a break — because cybercriminals don’t either. That’s especially true for folks who work in law enforcement. Every day they are on the front lines helping to protect the public and solve crimes using Criminal Justice Information (CJI) such as crime reports and fingerprints.


Software Testing Trends 2019 Recap | Industry Insights

2019 is almost over. The software testing landscape has seen numerous introductions in new testing approaches and innovations at an exponential rate. It has also witnessed the continuation of technological improvement, evolution, and reinvention. As we are progressing to 2020, let’s take a retrospective look at the top trends in test automation and see how we stand after one year.

Leave Your Legacy: Real Strategies for Modernizing

Most large enterprises have a lot of legacy developed over the years, but they need to embrace microservices quickly to beat the competition. The right approach for these large enterprise is not a big-bang strategy but rather an incremental strategy. In this Kong Summit 2019 session, Infosys AVP and Head of Architecture, Rajib Deb will explain how leveraging an API gateway and “servicifying” the legacy can help expedite the process for organizations adopting microservices architectural patterns.

Don't just move to the cloud, modernize with Google Cloud

Our customers tell us they don’t just want to migrate their applications from point A to point B, they want to modernize their applications with cloud-native technologies and techniques, wherever those applications may be. Today, we’re excited to tell you about a variety of new customers that are using Anthos to transform their application portfolio, as well as new cloud migration, API management, and application development offerings:


Robust Development with git-flow, Bitbucket Pipelines and Bitrise

When you start a new project, everything is very easy and agile. You can develop, commit code and publish new versions quickly, without much testing. You probably don’t have a QA team, your test data is similar to your production data and you don’t develop multiple features at the same time. But as the project grows, it starts to become more and more complex.


5 benefits of using AI bots in customer service

The rise of the AI bots may sound like a sci-fi horror scenario, but in reality, the growing industry of bots isn’t scary at all—it’s a technology that brings real, tangible benefits to businesses and customers alike. Bots are already a big part of the customer service landscape. In 2018, the bot market was worth $1.274 billion and predictions anticipate it reaching $7.5 billion by 2024.