Rollback triggers are automated actions set up in a database to undo changes when certain conditions are not met or when errors occur. They help maintain data accuracy by reversing transactions that could cause problems or inconsistencies. Rollback triggers are especially useful in systems where data integrity is critical, such as financial or inventory applications.
Auto-scaling is a technology that automatically adjusts the number of computer resources, such as servers or virtual machines, based on current demand. When more users or requests come in, the system increases resources to handle the load. When demand drops, it reduces resources to save costs and energy.
Input hooks are special pieces of code that allow a program to watch for and react to specific user inputs, such as keyboard presses or mouse movements. They act like listeners, waiting for certain actions so that the software can respond immediately. This mechanism is often used to customise or extend how a program handles…
Trigger queues are systems that temporarily store tasks or events that need to be processed, usually by automated scripts or applications. Instead of handling each task as soon as it happens, trigger queues collect them and process them in order, often to improve performance or reliability. This method helps manage large volumes of events without…
Retry logic is a method used in software and systems to automatically attempt an action again if it fails the first time. This helps to handle temporary issues, such as network interruptions or unavailable services, by giving the process another chance to succeed. It is commonly used to improve reliability and user experience by reducing…
Workflow loops are repeating steps within a process that continue until certain conditions are met. These loops help automate tasks that need to be done multiple times, such as checking for new emails or processing a list of items. By using workflow loops, teams can save time and reduce errors in repetitive work.
Load tracking is the process of monitoring and recording the progress and location of goods or shipments as they move from one place to another. It helps companies and customers know where their delivery is at any given time and estimate when it will arrive. This information is often updated in real-time using GPS or…
Drift detection is a process used to identify when data or patterns change over time, especially in automated systems like machine learning models. It helps ensure that models continue to perform well, even if the underlying data shifts. Detecting drift early allows teams to update, retrain, or adjust their systems to maintain accuracy and reliability.
Flow debugging is the process of identifying and fixing issues in a sequence of steps or actions, often within a software application or automated process. It involves examining how data and instructions move through different stages, checking for errors, and ensuring the flow works as expected. This helps developers and administrators ensure that each part…
Memory tracing is the process of monitoring and recording how a computer program uses memory over time. It helps developers track which parts of their code allocate, use, and free memory. This information is valuable for finding memory leaks, optimising performance, and ensuring efficient resource management.