项目功能架构图的主要组成部分如下： 高

Midjourney Bot 更新时间：2023-09-08 16:32:14
The main components of the project functional architecture diagram are as follows:,High availability Prometheus cluster:,Consisting of multiple Prometheus nodes, high availability is achieved through load balancing and failover mechanisms.,Data synchronization and communication between nodes ensure the accuracy and consistency of monitoring indicators.,Local system:,Refers to the specific local system that needs to be monitored, which can be a single system or a collection of multiple systems.,Deploy the Prometheus client in the local system to collect monitoring indicators of the local system and send them to the Prometheus cluster.,Collection and analysis of monitoring indicators:,The Prometheus cluster receives monitoring indicator data from the local system, including CPU utilization, memory usage, network traffic, etc.,Use the PromQL query language to analyze and statistics the collected indicators, generate charts and reports, in order to comprehensively understand the performance status and health of the local system.,Warning and warning mechanism:,According to the set alarm rules and thresholds, when an abnormal situation occurs in the local system, the Prometheus cluster automatically triggers an alarm notification.,The early warning mechanism predicts potential problems and takes measures in advance through real-time analysis and comparison of monitoring indicators to avoid system failures and business interruptions.,Safety event monitoring and protection:,The Prometheus cluster detects and responds to security events and threats in a timely manner by monitoring security related indicators such as network traffic and login attempts.,Other security tools and mechanisms can be combined to enhance system security and protection. --ar 1:1 --style raw --v 5.2

项目功能架构图的主要组成部分如下： 高可用Prometheus集群： 由多个Prometheus节点组成，通过负载均衡和故障转移机制实现高可用性。 节点之间进行数据同步和通信，确保监控指标的准确性和一致性。 本地系统： 指代需要监控的具体本地系统，可以是单个系统或多个系统的集合。 在本地系统中部署Prometheus客户端，用于收集本地系统的监控指标并发送给Prometheus集群。 监控指标收集和分析： Prometheus集群接收来自本地系统的监控指标数据，包括CPU利用率、内存使用量、网络流量等。 使用PromQL查询语言对收集到的指标进行分析和统计，生成图表和报告，以便全面了解本地系统的性能状况和健康度。 告警与预警机制： 根据设置的告警规则和阈值，当本地系统出现异常情况时，Prometheus集群自动触发告警通知。 预警机制通过对监控指标的实时分析和比较，预测潜在问题并提前采取措施，以避免系统故障和业务中断。 安全事件监测与防护： Prometheus集群通过监控安全相关的指标，如网络流量、登录尝试等，及时发现并应对安全事件和威胁。 可结合其他安全工具和机制来加强系统的安全性和保护。
素材来源：Midjourney官网