AI TOOL PROFILE
Virtana Service Observability
- Software Development
- Application Performance Monitoring
- 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.
At a glance
- Best for
- Enterprise companies, Mid-market companies, SRE and DevOps teams, IT Operations managers, Platform Engineering teams
- 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
- Visit Virtana Service Observability official website
How AI is used
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
Real time Service Modeling
Connects infrastructure and application components into an end-to-end operational view.
AI-Assisted Root-Cause Analysis
Uses intelligent correlation and service-aware modeling to help isolate the cause of incidents.
Predictive Analytics
Uses AIOps to detect emerging issues early, which may help prevent disruptions.
Service Impact Analysis
Provides visibility into which services are affected by an issue in real time.
Virtana Copilot
An agentic AI that provides natural language guidance and policy-safe actions.
Hybrid Multi-Cloud Support
Provides visibility across on-premises, colocation, and public cloud environments.
Use Cases
Incident Root-Cause Analysis
Using AI-guided correlation to identify the source of service failures.
Predictive Issue Detection
Applying AIOps and predictive analytics to identify risks before they affect users.
IT Operations Automation
Integrating service context with ITOM tools to support automated response workflows.
Hybrid Environment Mapping
Modeling business services that span across both on-prem and cloud infrastructure.
Integrations
- Amazon Web Services
- Microsoft Azure
- Kubernetes
- ServiceNow
- AppDynamics
- VMware
- Cisco
- NetApp
- Dell Technologies
FAQ
What is Virtana Service Observability?
- It is a platform that provides AI-driven, service-centric observability for hybrid and multi-cloud environments, helping teams map dependencies and isolate issues.
Can I use Service Observability without the full Virtana Platform?
- Yes, Service Observability can be adopted independently, though it can also integrate with other Virtana modules like Infrastructure and Application Observability.
Is it available for on-premises deployment?
- Yes, the Virtana Platform, including Service Observability, is available as both a SaaS deployment and an on-premises option.
Who is this software intended for?
- 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
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