Operations | Monitoring | ITSM | DevOps | Cloud

Artificial intelligence is one of several hot technologies that have the potential to transform the face of combat in the next years. The Joint Artificial intelligence Center was established by the Department of Defense to win the artificial intelligence war. AI might enable autonomous systems to execute missions, achieve sensor fusion, automate activities, and make better, faster judgments than people, according to some visions. AI is quickly developing, and those objectives may be met shortly.

Today’s software testing trends show the growing demand for more efficient and automation-oriented API testing. Many of the current test automation solutions focus on the UI, while most API-level testing is still done manually. As a result, testers are in need of easy-to-use, intelligent automation tools for testing APIs — improving their productivity and efficiency, while also reducing time-to-market.

The HAProxy load balancer provides a set of APIs for configuring it programmatically. Although many people enjoy the simplicity of configuring their HAProxy load balancer by directly editing its configuration file, /etc/haproxy/haproxy.cfg, others want a way to do it without logging into the server. Or, they want a way that integrates with bespoke software. For example, they want to add pools of servers to the load balancer programmatically as a part of their CI/CD deployment pipeline.

In 2020, the gaming market generated over 177 billion dollars, marking an astounding 23% growth from 2019. While it may be incredible how much revenue the industry develops, what’s more impressive is the massive amount of data generated by today’s games. There are more than 2 billion gamers globally, generating over 50 terabytes of data each day.

Slow apps frustrate users, which leads to bad reviews, or customers that swipe left to competition. Unfortunately, seeing and solving performance issues can be a struggle and time-consuming. Most developers use profilers within IDEs like Android Studio or Xcode to hunt for bottlenecks and automated performance tests to catch performance regressions in their code during development. However, testing an application before it ships is not enough.