In Part I in our series outlining best practices for scaling observability, we reviewed the data analysis capabilities that can help engineers troubleshoot faster during high pressure situations during a game launch. Nobody wants lag time or crashes in their game launch. Similarly, no one wants terminated sessions or for your gamer customers to log off and play a competitor’s game.

The Dynatrace platform is a software-driven monitoring platform that simplifies enterprise cloud complexity and accelerates the pace of digital transformation for enterprises. There are many top solutions on the market, but Dynatrace is one of the most popular for its ability to monitor both mobile apps and real users simultaneously. By offering a shared platform for understanding metrics, Dynatrace also helps developers, operations, and business teams improve performance.

September is here, and that means many retailers have already begun preparing for the upcoming holiday season. One weekend in particular tends to be the real-life stress test that companies have come to develop a love-hate relationship with: Cyber Weekend. Or more specifically, Black Friday, Cyber Monday, and the weekend in between.

Search is the key to improving the customer experience–and business outcomes Retailers that weathered the global pandemic now face new challenges: emerging shopping patterns, competitive upstarts, and economic uncertainty.

In the observability toolchain, all of our efforts go into data storage and analysis, and the usability of our system becomes a second-class citizen. Autocomplete is a crucial usability feature that significantly improves the developer experience. It is ubiquitous amongst engineering tools from IDEs to CLIs. Autocomplete has long been a feature of many observability tools, but they all miss a crucial detail – optimizing for developer productivity.