When engineering teams talk about resiliency, they often mean that the system should be alive and not crash in case of extreme load or hardware malfunction. Therefore, traditional solutions will be…

Atti provides a  platform for data analysis, data visualization, and machine learning enthusiasts. Developers can explore a wide range of topics, including data preprocessing, exploratory data analysis, predictive modeling, and more. Atti provides tutorials, case studies, and best practices, in data science skills, and  insights from large datasets, and help build robust, data-driven applications that drive business success.

AT&T Israel

Resiliency in systems means ensuring that a system never fails, no matter the circumstances. This includes maintaining full functionality despite system and software updates, dependency and compatibility issues, resource limitations, hardware failures, and procedural errors. Key strategies include backward and forward compatibility for APIs and databases, safe autoscaling, active-active or active-passive data centers for failover, and meaningful circuit breakers. It's crucial for system leadership to prioritize plans addressing potential failures and have robust engineering and risk management practices in place.

Redefined Systems Resiliency 101: Do’s and Don’ts