Author: dojo.live

The Journey of a Manual Tester to Being an Automation EngineerBeing a manual tester for 12 years taught me that we always must work faster and smarter, for example, one way to test faster is by automating regression tests, so we can save time when the developer team makes a release, and we must ensure the environment is ready to be tested.

There is no question that artificial intelligence, specifically Generative AI, has gained traction and is rapidly transforming different sectors. In a recent OpenAI research, they found that approximately 80% of the U.S. workforce will see an impact on at least 10% of their tasks using GPT, and on the other hand, around 19% of workers may see an impact on at least 50% of their tasks using the same technology. This clearly highlights the current potential of the use of this technology and the vast reach it will have on our day-to-day lives.The utilization of generative AI in Agile project

Consider a scenario where you accidentally dropped the actual table or instead of deleting a set of records, you updated all the records present in the table.What will you do? How will you restore your data that has already been deleted/altered?You must be hoping of going back in time and correcting incorrectly executed statements. Snowflake provides this feature wherein you can get back the data that is present at a particular time. This feature of Snowflake is called Time Travel.

Software telemetry, effectively monitors and enhances your applications by collecting, storing, and analyzing data from the system and application.  The history of telemetry spans centuries and can be traced back to steam power monitors developed during the Industrial Revolution. Telemetry has evolved substantially and now applies to software development, healthcare, meteorology, agriculture, and many other fields. This guide focuses on software telemetry, explains how it pertains to application monitoring, details the working principles, and clarifies the distinction between telemetry and monitoring. 

The world is currently amidst an Artificial Intelligence (AI) renaissance. While AI models continue to make headlines for passing impressive tests, developers also look to incorporate AI into their workflows to solve fundamental, everyday problems. Companies are scrambling to leverage AI research for newsworthy performance and more banal functions, and Cognitive Services rise to the occasion. But what exactly are Cognitive Services? This guide focuses on the definition, benefits, use cases, and application principles of Azure Cognitive Services.