Centreon extends its 'leadership' in hyperconnected monitoring

Connected IT monitoring: The solution to meet the new challenges of CIOs

Fifty-nine percent of organizations admit not being completely satisfied with their current IT monitoring tools, citing poor integration with other IT tools as the first reason for dissatisfaction (source: State of IT Monitoring 2021-2023).

In 2021, to support the everywhere enterprise of the post-COVID era, CIOs have invested heavily in a myriad of technology innovations, along with security. Edge, multicloud, network modernization and IT automation are reinforcing the deep system interconnections within the enterprise. Managing these complex, interconnected information systems requires holistic end-to-end visibility and a broad understanding of what makes the digital value chain work optimally. This is what connected IT monitoring enables.

Connected IT monitoring is by definition connected to all enterprise systems and IT tools. It provides a wide range of connectors for instant, extended monitoring capacity, as well as automation functionalities for monitoring dynamic environments (cloud, containers, SD-WAN, SaaS applications, WiFi hotspots, etc.), integrate with main IT automation tools or with other ITOps tools, and enable the business observability platform through AIOps functionalities.

Centreon 21.04: A new release that’s more connected than ever

Centreon makes it more efficient than ever to manage dynamic IT infrastructure, covering cloud technologies, traditional equipment, edge computing, and the networks that interconnect them all.

The 21.04 release further augments ITOps teams efficiency with connectors that include more automation with the optimized Auto-Discovery engine, artificial intelligence and major improvements in alert management.

Auto-Discovery engine: Capturing complexity, automatically

The Auto-Discovery engine is a key asset to ensure that 100% of the IT landscape is being constantly monitored and provide IT teams with tight control. The Auto-Discovery engine of Centreon 21.04 has been further improved to facilitate the work of operations teams when it comes to managing the system’s complexity: automatic assignment of host groups, categories, and severity.

This Auto-Discovery engine is based on a ready-to-use connector library (over 500-and counting), which contains both ready-to-use configuration templates and 287 discovery rules applicable to all types of equipment.

Centreon Auto-Discovery engine will automatically scan, detect, configure, categorize, and monitor-infrastructure domains like Amazon AWS services such as EBS, EC2, EFS, RDS; Microsoft Azure services such as Azure Automation, Elastic Pool, Event Grid, Firewall, Key Vault, Load Balancer, Public IP, ServiceBus, SignalR; Google Cloud Compute services such as CloudSQL, Engine, Storage; Kubernetes clusters, VmWare clusters, Nutanix servers; SD-WAN such as Versa Director, Cisco Meraki, VmWare VeloCloud; WiFi Networks such as Aruba.

Anomaly Detection, based on artificial intelligence and machine learning

Anomaly Detection relies on artificial intelligence and machine learning to alert on unusual, dysfunctional behavior, bypassing the habitual thresholds. Based on the Centreon Cloud to implement the resource-intensive machine learning algorithms and thus preserve the supervision servers, this new architecture combines Centreon’s unrivalled monitoring capacity with the cloud’s limitless computing power. Centreon monitoring servers naturally integrate with the Centreon Cloud Platform to add power when needed if needed.

When it comes to knowing which metric Anomaly Detection should be applied to, Centreon also provides the answer. Centreon 21.04 comes with an Auto-Suggestion feature which role is to automatically suggest a list of relevant metrics on which to apply Anomaly Detection. All Centreon Business Edition customers can now access this feature.