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Support rich alert types and strategy settings, notify the stakeholders in a variety of ways for them to keep updated of the latest status.

Unified Monitoring and Alerting for Multi-Cloud and Cloud-Native Services

● Alerts can be setup based on online status, performance metrices, and future trend for virtual machines, applications, and containers

Apply alert policies to all levels of organization at one time

Support multiple types of notifications, such as system messages, SMS, email, WeChat, DingTalk, etc.

For Multi-cloud and Cloud-native Services

Provide a neutral single console and one-stop management of multi-cloud environments including private cloud, public cloud, container platform, x86 bare metal server, SDN, SDS, etc. Help enterprises build a standardized IT service management system through a unified management platform and resource portal.

Scalable Monitoring of Arbitrary Cloud ObjectsIntegrate the Prometheus ecosystem to achieve rapid monitoring of cloud resources (machines, RDS, Redis, Nginx, etc.), and supports adding custom Exporter to expand the monitoring of any cloud resources.

Complete Monitoring and Visualization Capabilities

View the running status and the health index of target cloud resources through a unified interface (monitoring dashboard, host map), intuitively judge the health of the deployment, identify potential hot spots, quickly find relevant information, and analyze indicators through trends and outliers.

Unified Monitoring across Clouds and Networks to Break information Isolations
Supports full-stack resource monitoring of applications such as physical devices, public clouds, private clouds, containers, and database middleware. Realize unified monitoring across clouds and networks through cloud gateways to break monitoring isolations.

AI-based Self-healing Capability

Based on the ITIL process, supports a variety of automated self-healing (tickets, automated changes to cloud resources, Jenkins tasks, external system integration, etc.), thereby reducing fault processing time and improving the availability of enterprise IT services.

Improving User Self-service

Supports the self-service of machines and application alerts. Ordinary users can set the required monitoring alerts for their own machines, cloud resources, applications or containers. Supports applying different alert policies to different hierarchies.

Meet various data display scenarios
Host map (right), the status of massive resources is clear at a glance Get an overview of resource performance and health status to help quickly locate problematic cloud resources Click to drill down to the cloud resource operation interface to shorten the processing path
Cloud product monitoring (bottom right), which is convenient for operation personnel (such as database experts) to view and analyze Detailed monitoring information Easy to find by category and view one by one
Cloud resource monitoring (bottom left), which is convenient for resource owners to view monitoring information One-stop solution for monitoring, configuration and operation
Instance                                                                                                 Tomcat
Flexible Monitoring Dashboard
The system comes with dozens of dashboards for different systems Support the creation of new dashboards and can flexibly adjust the display content of monitoring data Dashboard supports sharing mode so that other users can also use The shared dashboard can be used for monitoring configuration of cloud components and for displaying monitoring data in cloud resource details
Alert Data Collection Based on Prometheus Ecology

Alert data collection based on cloud platform, providing monitoring data collection for various cloud services Agentless Alibaba Cloud、Tencent Cloud、Huawei Cloud、OpenStack VMware vSphere

Monitoring data collection based on native interfaces such as applications and network devices Linux,Windows MySQL,Oracle,MongoDB,JMX,SNMP Scalable model based on cloud components

Flexible Expansion and Self-healing

● Automate horizontal and vertical expansion to meet business peak needs based on pre-defined policies

● Define the maximum times of expansions allowed to avoid unlimited resource consumption

● Automatically join the extended nodes to the cluster or load balancing based on the application topology defined in blueprint

Automated two-way expansion, to meet the requirements of business peaks

Flexibly expand according to the strategy to automatically solve potential problems and meet the requirements of the service level agreement.

Provide pipeline overview to grasp the current and historical execution status, and intuitively analyzes DevOps efficiency

Record current and historical pipeline executions

Multi-dimensional analysis pipeline execution results Fast execution of new pipelines
Ultimate control starts from here!