Administrators and IT management are increasingly leveraging simple quantifiable KPI indicators such as “Performance Ratings” to gain rapid overviews and track key outcomes. Modern IT architectures are designed and built to scale and be resilient. Systems are now usually built to handle failover and auto-scale up and down to handle varying demand and workloads with very different properties and needs.
Azure Data Factory is a cloud-based data integration service provided by Microsoft Azure that enables users to create, schedule, and orchestrate data workflows to move and transform data from various sources to various destinations.
Prometheus is a robust monitoring and alerting system widely used in cloud-native and Kubernetes environments. One of the critical features of Prometheus is its ability to create and trigger alerts based on metrics it collects from various sources. Additionally, you can analyze and filter the metrics to develop: In this article, we look at Prometheus alert rules in detail. We cover alert template fields, the proper syntax for writing a rule, and several Prometheus sample alert rules you can use as is. Additionally, we also cover some challenges and best practices in Prometheus alert rule management and response.
The threat and security landscape is becoming increasingly cluttered. As incidents increase, so do alerts and notifications, leading to too many alerts and too few hours to address them. Many businesses work remote and with the ever-present smartphones, we are always on the go. Yet it is essential that security teams receive and prioritize meaningful threats, but that task is easier said than done.