Is your team able to pivot with changing demands, accelerate new features, and provide the highest product quality? Being agile allows you to move fast, make changes, and keep quality at the center of your work. Xray empowers your team to strive towards continuous improvement, optimize testing efforts and exceed quality goals with features and workflows that support agile methodologies.
In this guide, we are going to see what a Docker health check is and how to configure it for your Docker containers. A Health Check means to check the health of any resource to determine whether that resource is operating normally. Here, it is about checking the health of Docker containers. If you’ve been using docker containers in production, you might have noticed that docker checks the status of a container by using the status of the process (PID) launched from the Docker file command.
This quarter we’ve been working on many improvements that will make your life easier when catching those sneaky bugs, and expand Bugfender’s capabilities with some of the most requested features: We hope you find all these updates useful!
For the past two years, Appian has scored high marks in both categories, landing in the upper right corner of the Magic Quadrant as a leader.
AIOps adoption is on the rise. According to Gartner, by 2023 40 percent of DevOps teams will augment application and infrastructure monitoring tools with AIOps platform capabilities. Use cases are also expanding beyond IT to include IT Service Management (ITSM), digital experience monitoring (DEM), DevOps, Application Performance Monitoring (APM) and third party services.
Digital transformation is not just about technological transformation of the organization, it’s about transforming the culture of an organization. It’s not enough to bolt technology onto an existing strategy and consider it transformed. That’s the message from our Chief Marketing Officer Mick Hollison discussing digital transformation with Charlene Li at Cloudera Now.
However, the complexity and volume of data every business accumulates is a common challenge for those that need to make decisions. Data is a continuous and always growing consideration, and it can be particularly challenging for larger enterprises.
Deep in the implementation of every automated UI test lives the potential to turn something simple into something slow and unreliable—simply by adding extra Selenium commands. The data clearly show that longer tests are less likely to pass. In this case study, I will show you how to optimize a test and make it 560% faster. We will do this by tackling inefficient use of Selenium commands.