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What is Insight？

Insight is a next-generation, cloud native observability platform that focuses on application analysis. Its out-of-the-box real-time resource monitoring, metrics, logs, events, and other data assist enterprises in analyzing application status. Furthermore, it is compatible with popular open-source components, providing alerting, multi-dimensional data visualization, fault locating, and one-click monitoring and diagnosis.

Insight implements unified collection of metrics, logs, and traces, which supports multi-dimension alerting on metrics and logs. The platform offers a web UI for enterprises to easily navigate. It provides several monitoring components, including multi-dimensional monitoring of containers, services, nodes, and clusters, and monitors CPU, memory, storage, and network resources. The integration with Grafana enables the creation of comprehensive dashboards.

The platform allows for collection and search of workload logs, system logs, Kubernetes events, and context log queries. It supports service topology visualization and transparent tracing, including real-time service metrics, request per second, error rates, and latency. The platform supports distributed tracing based on open-source technologies and comes with pre-defined alerting rules, while also enabling users to define their metrics, logs, and alerts.

Insight provides flexible configuration options for alerting rules, and notifications can be sent via multiple channels such as email, WeChat, and Webhook. It ensures the persistence of metrics, logs and tracing data, catering to the data storage needs of enterprises.

The main features as following:

  • Provide multi-dimensional monitoring of containers, services, nodes and clusters.
  • CPU, memory, storage, network monitoring.
  • Integrated with grafana to provide comprehensive dashboards.
  • Collect and search workloads logs, system logs and kubernetes events.
  • Contextual logs query.
  • Services topology.
  • Transparence tracing supports, fully supported services real-time RPS, error rates, and latency metrics.
  • Open source based distributed tracing.
  • Out-of-the-box alerting rules.
  • User-defined metics, logs and other alerts.
  • Flexible configuration of alerting rules.
  • Multiple notification channels, such as email, WeChat, nail and Webhook.
  • Persistence of metics, logs, and tracing data.

Module Guide

Basic concepts

The basic concepts related to observability (Insight) are as follows.

# Terms Definitions
1 Target The monitored object; the system will regularly initiate capture tasks to the monitoring point to obtain metrics
2 Metric Use the open-metric format description to measure the degree of a certain attribute in a software or hardware system
3 Recording Rule A named PromQL expression, which is a new metric obtained by calculating multiple metrics to describe a more complete and complex system state
4 Dashboard Dashboard is a form of visual management, that is, the performance of data, intelligence and other conditions at a glance. It displays information through various visual perceptions with intuitive images and appropriate colors. Display the real-time situation of the platform and all performance metrics in DCE through visual graphics.
6 Service Discovery A service discovery configuration for Kubernetes environment, used to batch and automatically access monitoring points on Kubernetes
7 Exporter A service that can provide metrics, often understood as a monitoring object
8 Rule A PromQL expression whose return value is a Boolean value, which describes whether the metric or custom metric is within the threshold range, and if not, an alert event will be generated
9 Alert The record information when the alert rule is triggered, which records the alert rule, trigger time, and current system status; at the same time, it will trigger the corresponding action, such as sending an email
10 Notification The alert event information sent by the system to the user through e-mail or other channels
11 PromQL Query statements supported by the Prometheus system

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