CloudFabrix AI engine is the brain of its AIOps platform and is built on the principles of transparency, extensibility, scalability, easy to use and administer. AI engine provides in-built ML pipelines for core use cases like alert correlation, incident triaging and predictive insights. Additionally, customers can extend system ML pipelines or build new ML pipelines to introduce custom models or algorithms. These ML pipelines can support statical, machine learning or deep learning models that are trained using by neural networks.
AIOps efficiency hinges on having access to cross-domain IT data and seamless integrations with existing IT systems and tools. With our extensible data ingestion framework, customers can bring data from any source or any environment. Platform's connectors allow seamless bi-directional integrations with ITSM systems, CMDB systems, Automation and enterprise collaboration tools.
CMDB data is not very accurate in most enterprises. In such cases, AIOps implementation and Asset Intelligence implementations need a mechanism to self-discover IT assets, configurations and mappings from any IT environment (datacenter, remote site or edge).
Enterprise Data Collector runs as a standalone VM or Container in any environment. It uses agentless approach and can discover & map IT assets, hosts and workloads. Discovery runs can be scheduled to run periodically and results can be ingested into Dimensions platform for further processing.
Our platform enables incident diagnostics automation with built-in command library and incident resolution using 3rd party integrations with IPA/RPA/IAC tools. Diagnostic command automations have no risk and do not change underlying systems, and our platform provides a in-built library of commands that is extensible. On the other hand, incident resolutions do involve some element of risk and often need to perform change in underlying system and our platform takes the approach of partnering with purpose-built automation tools to handoff workflow executions and runbook automations to 3rd party tools.
cfxDimensions supports several standard Microservices architectural patterns like service discovery, configuration management, load balancing, messaging, etc. cfxDimensions can now provide high capacity data ingestion and integration with third party systems. This includes: