Most developers are familiar with the concept of tracking an application's performance. We've all had to undertake our performance debugging at some point. It typically occurs when there is a significant problem with potential cost or user impact. We don't take the time to examine the application's performance in various scenarios till after that. Of course, you can and should monitor various components of the application separately.
Vehicles are becoming more complex everyday. Customers expect safe, autonomous, connected, electrified and shared vehicles and these features are achieved via software. Although there is a clear change in focus from hardware to software, the advent of software-defined vehicles will rely heavily on optimised Electrical / Electronic (E/E) vehicle architectures. To make way for this changing paradigm, big hardware changes need to take place.
Enterprise resource planning (ERP) modernization is a huge undertaking. ERP environments are laden with customization that can increase technical debt and impede maintenance. Organizations need to achieve a clean core while delivering a consumer-grade experience that bridges various systems of record without missing a beat. ERP environments are complex and always evolving. They’re messy and busy. They require many manual processes and span multiple, siloed systems.
For smart cities of the future, monitoring infrastructure metrics like fuel and water levels is vital to optimizing operations. Fuelics PC designs and deploys battery-operated narrowband IoT (NB-IoT) sensors that monitor fuel, water, waste, and even parking capacity at the edge, then transmit that data to the cloud for easy viewing and monitoring.
It can be tricky for large organizations to track employee software licenses given the multitude of applications and activities that continuously take place across the business. On a given day, a typical organization with 10,000 employees using only a dozen applications still results in more than 100 thousand application interactions. Each of these employee experiences has the potential to create IT issues that IT needs to stay ahead of without going over budget.
If you were pulled into a meeting right now and asked to give your thoughts on how to achieve better outcomes with monitoring and observability, what would you recommend? Would you default to suggesting that your team improve Mean Time To Detect (MTTD)? Sure, you might make some improvements in that area, but it turns out that most of the opportunities lie in what comes after your system detects an issue. Let’s examine how to measure improvements in monitoring and observability.
