by Performance Tour | Episode
Data observability platforms like IBM Databand help address a growing problem for businesses: a lack of trust in their data. 75% of business executives do not have a high level of trust in their data, and 70% do not consider their data architecture to be “world...
by Performance Tour | Episode
Shifting to a DevOps model and implementing continuous performance strategies are crucial for enhancing efficiency and collaboration in healthcare’s legacy systems. Learn how Jaime Martinez improved performance engineering in healthcare by implementing DevOps...
by Performance Tour | Episode
Data Observability Explained: The Key to Trusted Data Pipelines. Data observability is crucial for companies to ensure data quality, detect anomalies, and optimize performance in real-time, enabling them to make the most of their data assets. Scott Moore interviews...
by Performance Tour | Episode
Generative AI presents new challenges in understanding how to test the many layers for performance. It requires training on new technologies, and a focus on building a performance engineering strategy around AI technology. Scott Moore and Daniel Geater (Qualitest)...
by Performance Tour | Episode
2024 top performance engineering trends are focused on scalability, security, standardization, flexibility, AI and machine learning, and mobile device testing, with a shift towards centralization and governance to meet the needs of both small and enterprise companies....
by Performance Tour | Episode
“Shift Observability Left” is something every business running software should do. Observability needs to be shifted left in performance testing, using automation and observability tools to improve load testing and performance analysis in development,...
