Getting Started

An overview of features and basic use of the product.
  image2017-4-27 11:58:43.png  
CA Digital Operational Intelligence enables IT operations teams to make smarter, faster decisions for enhancing user experience and improving IT service quality and capacity through cross-domain contextual intelligence. Built on an open, powerful engine, 
Digital Operational Intelligence
 provides users with comprehensive insights by ingesting and analyzing a diverse data set including metric, topology, text, and log data. The machine learning–driven analytics, along with out-of-the-box visualization and correlation, helps drive a superior user experience and deliver significant operational efficiencies. 
This article includes the following topics: 
Key Challenges
The following table illustrates some of the goals and challenges that different types of users face: 
Vice Presidents
Managers of IT Operations
  • Enable teams to make smarter, faster decisions
  • Enable teams to focus on high-value activities
  • Different monitoring tools and data sources create siloed views
  • Teams are stuck in reactive triage and issue troubleshooting
IT, System, and Network Administrators
  • Identify potential issues proactively
  • Spend less time chasing issues, and reporting
  • Focus on innovation and new delivery models 
  • Stuck with multiple tools that have disparate views and reactive alerting
App Owners and Developers
  • Want more control and visibility over the infrastructure running their apps
  • Difficult to manage increasing volume of apps and channels
  • Difficult to get to the root cause of problems due to lack of end-to-end view of customer transactions
Digital Operational Intelligence
Digital Operational Intelligence
 provides the following capabilities. 
    Service Analytics
    Unify service health and availability across all management domains to provide a holistic view of key business or IT services. Operations managers and administrators can drill down to identify key components that are causing service disruption. Service Analytics provides the following information: 
    • Health of a service (availability and risk)
    • Infrastructure and applications that are mapped to a service
    • Impacted services
    Alarm Analytics
    Provides overview and insights into service and derived alarms from multiple data sources. By using Alarm Analytics, you gain the following benefits:
    • Reduce alarm noise from multiple products
    • Correlate alarms across products to identify the root cause
    • View Probability bands to determine buildup to an alarm
    • Fine-tuning alarm threshold by analyzing the historical pattern
    Performance Analytics
    Enables users to detect performance bottlenecks and anomalies to predict problems before they occur. Performance Analytics in 
    Digital Operational Intelligence
     allows you to:
    • Compare multiple metrics for the same device
    • Compare multiple metrics across multiple devices 
    • Compare uni-variate metrics across single and multiple devices
    • Compare multivariate metrics across multiple devices
    Log Analytics
    Automatically aggregates and normalizes log data from multiple sources and generates actionable dashboards. You can correlate infrastructure performance alarms with associated log events and get alarms that offer contextual event details, enabling fast, effective issue resolution. Log Analytics provides the following benefits: 
    • Out-of-the-box dashboards (blueprints) based on the collected data for supported log types and patterns.
    • Near real-time and historical search on all your log data from one centralized location.
    • Full text search on stored log files.
    Capacity Analytics
    Helps you manage your IT resources by ensuring that resources are sized correctly to meet current and future business needs. Capacity analytics allow companies to:
    • Predict capacity for peak seasons
    • Know when more resources are needed and plan accordingly
    • Only buy more resources when necessary
    • Efficiently manage virtual and physical infrastructure
    • Eliminate waste by identifying areas that are underutilized 
    Data Studio
    Enables you to perform advanced data analysis and visualize your data in various charts, tables, and maps. Data Studio also facilitates text searches across all of the data collected into the data lake.
    Self Service Dashboards
    allows you to create, search, view, and interact with the data.
See Root Cause Analysis and Alarm Correlation to understand how some of these capabilities work together to help a company quickly identify the root cause of an issue that impacts the customer experience. 
Product Integrations
Digital Operational Intelligence
 can integrate with other CA products to provide monitoring data to the solution. 
Supported Data Sources
Data Provided
Business Value
  • Metric data from UIM probes
  • UIM alarm data
  • UIM inventory data
  • UIM Topology
CA UIM can monitor and inventory your entire network using SNMP polling, agents, and remote monitoring.
    CA Spectrum
    CA Spectrum
    CA Spectrum
     inventory data  (oi_connector probe)
CA Spectrum integrates automated fault management, fault isolation, proactive change management, and root cause analysis.
  • CA PM metrics
  • CA PM events
  • CA PM inventory
CA PM provides performance management for Communications Service Providers and large-scale enterprises.
  • CA NFA metrics
  • CA NFA events
  • CA NFA inventory
CA Network Flow Analysis gives you an enterprise-wide view into the composition of traffic on every link and helps you detect threatening traffic patterns in the making.
  • CA ADA metrics
  • CA ADA events
  • CA ADA inventory
  • CA ADA Topology
  • CA ADA Alarms
CA Application Delivery Analysis passively monitors IPv4-based TCP packets traversing the network between clients and servers.
  • CA APM metrics
  • CA APM alerts
  • CA APM Topology
CA APM allows you to proactively detect, triage and diagnose performance problems in your complex enterprise environments.
Third-Party Data
Digital Operational Intelligence
 also supports ingestion of the following types of data from your third-party monitoring products:
  • Alarms
  • Events
  • Logs 
  • Metrics
  • Inventory
If you are using a third-party tool to monitor your IT environment, you can use the provided REST API to insert your data into Jarvis. Once inserted into Jarvis, your data is available in data lake. For more information, see Ingestion APIs.
Digital Operational Intelligence
For more information, including CA Education training and videos, see the 
Digital Operational Intelligence
 Learning Paths.