Virtana Service Observability
Virtana Service Observability helps IT operations and SRE teams isolate issues and understand service impact. It is designed for organizations managing multi-vendor hybrid infrastructures.
At a glance
- Category
- Software Development
- Best for
- Enterprise companies, Mid-market companies, SRE and DevOps teams, IT Operations managers, Platform Engineering teams
- Pricing
- Pricing was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website.
- Key use cases
- Incident Root-Cause Analysis, Predictive Issue Detection, IT Operations Automation, Hybrid Environment Mapping
- Integrations
- Amazon Web Services, Microsoft Azure, Kubernetes, ServiceNow, AppDynamics
- Official website
- www.virtana.com
Virtana Service Observability provides a service-centric view of IT operations, connecting infrastructure and application components to help teams understand how issues affect business services. It is designed for teams managing hybrid multi-cloud environments who need to move toward predictive operations.
The tool is built for IT Ops, SRE/DevOps, and Platform Engineering teams. It uses AI-assisted root-cause analysis and real time service modeling to help isolate failures and may reduce investigation time.
Buyers can deploy the platform as a SaaS solution or on-premises. It can be used as a standalone tool for service observability or as part of a larger suite that includes infrastructure and application observability.
Buyers should confirm if the AI-driven automation and integration capabilities align with their current ITOM toolset and operational workflows.
Key Features
Connects infrastructure and application components into an end-to-end operational view.
Uses intelligent correlation and service-aware modeling to help isolate the cause of incidents.
Uses AIOps to detect emerging issues early, which may help prevent disruptions.
Provides visibility into which services are affected by an issue in real time.
An agentic AI that provides natural language guidance and policy-safe actions.
Provides visibility across on-premises, colocation, and public cloud environments.
Use Cases
Using AI-guided correlation to identify the source of service failures.
Applying AIOps and predictive analytics to identify risks before they affect users.
Integrating service context with ITOM tools to support automated response workflows.
Modeling business services that span across both on-prem and cloud infrastructure.
Best For
Integrations
Pricing
Pricing was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website.
FAQ
It is a platform that provides AI-driven, service-centric observability for hybrid and multi-cloud environments, helping teams map dependencies and isolate issues.
Yes, Service Observability can be adopted independently, though it can also integrate with other Virtana modules like Infrastructure and Application Observability.
Yes, the Virtana Platform, including Service Observability, is available as both a SaaS deployment and an on-premises option.
It is designed for IT Ops, SRE/DevOps, and Platform Engineering teams, particularly those in enterprise and mid-market companies managing complex hybrid environments.
Source category: Software Development
Source subcategory: Application Performance Monitoring
