The landscape of software testing is changing. In the hyper-competitive world of technology, speed and quality are often seen as opposing forces. We are told to “move fast and break things” if we are to succeed in getting our products into the hands of users before our competition beats us to the punch. This often times means sacrificing quality and confidence in the name of getting new features out the door.
Data scientists and engineers at the online data science education platform focus on attribution, customer lifetime value and the ideal customer profile.
This is the introduction to the Fivetran Architecture Academy series, in which we discuss the technological principles underlying how Fivetran works. Fivetran is at the forefront of automated data integration. Specifically, we believe that extracting, loading and transforming data should be effortless and involve a minimum of human intervention. This is reflected in the design philosophy of our automated data pipeline.
Make enterprise data more accurate, and instantly actionable, by adding automated data integration to your stack. Today’s enterprises and medium-sized companies are looking to ensure that critical business decisions are guided by rigorous data analysis. They have scaled up their analytics teams (composed of data engineers, data scientists and data analysts), and their IT departments have tried to meet the needs of those teams.
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!
