In today’s rapidly evolving digital landscape, businesses must continually innovate to stay ahead of the competition. Managing and operating a complex enterprise digital environment requires scalable and reliable application architectures to meet business demands. The rise of cloud-enabled hybrid IT environments and modular microservices has added new layers of complexity.
These dynamic IT systems, designed on microservices and API frameworks deployed in hybrid IT environments, need a focused view on their changing behaviours to meet business needs. Mere monitoring provides availability without deeper insights or traceability of performance bottlenecks.
One of the most transformative advancements is the integration of Artificial Intelligence (AI) to gain a comprehensive, 360-degree view of both business operations and IT infrastructure. By harnessing AI's potential, organizations can unlock new levels of efficiency and insight.
This narrative explores how enterprises can gain deeper insights into potential performance issues in IT and business operations and use these actionable insights to eliminate performance issues through Wipro’s Applied Observability Automation (AOA) framework.
Achieving comprehensive visibility with Wipro’s AOA framework
With over four decades of experience in managing IT operations, Wipro has designed the AI-driven Applied Observability Automation (AOA) framework. This framework provides comprehensive, integrated 360° visibility across technology stacks and business systems, addressing key customer challenges:
- Tools Span: Monitoring scattered telemetry data (metrics, events, logs, traces) across on-premises or multi/hybrid-cloud environments, applications, services, business tiers, and networks.
- Lack of Real-Time Insights: Absence of predictive and analytic insights on critical business process KPIs.
- No Single Source of Truth: Disconnected BizOps and ITOps data.
Wipro’s AOA framework is built on four key principles:
- Observe: Instrument applications and infrastructure to gather insights from telemetry data, aiming to understand what is happening inside the system based on external data.
- Detect: Transform situational knowledge into factual knowledge by connecting observable data with enterprise systems or external data, establishing anomalies, situational analysis, and performance insights.
- AI-Driven Insights: Infuse factual knowledge with AI to create actionable insights for performance traceability, root cause analysis, change impact analysis, capacity forecasting, and remediation actions.
- Intelligent Remediation: Use actionable knowledge for remediation in IT systems through robotic process automation (RPA).
Partnering for success: Wipro and Cisco
A robust partner ecosystem enhances outcomes. Wipro partners with Cisco to drive the adoption of Observability in enterprises. Cisco’s Observability products, combined with Wipro’s time-tested AOA framework, amplify and simplify the implementation of Observability solutions.
Key technologies include:
- Splunk O11Y: Provides comprehensive visibility through its SEIM, O11Y Cloud, ITSI, MLTK, and Power Connect modules creating an enterprise telemetry platform.
- AppDynamics: Simplifies application instrumentation with intelligent automation and Business IQ for business process monitoring.
Unlocking zero-touch operations
AOA is a comprehensive solution designed to prevent downtime, reduce security vulnerabilities, and maintain continuous performance. Leveraging AI, ML, and GenAI, AOA identifies issues and implements intelligent automation, ensuring real-time reliability of digital operations, microservices, cloud computing, and other critical tech stack components.
AOA enables composability through data collection and analysis, 'Observability as Code,' and orchestration, supported by core solution components:
- Embed AI: Integrate AI capabilities of popular products for Observability use cases.
- Core AI: Develop custom AI models and use cases based on Observability datasets to enhance operational insights and automation.
AOA includes several accelerators to help enterprises overcome Observability and automation challenges effectively:
- Generative AI: AI-powered Observability for IT topology with partner capabilities.
- AI-Driven Insights: Automated issue resolution and self-remediation.
- SRE-Driven Observability: Reliable, business-aligned ITOps following SRE principles
- Dashboard-as-a-Service: AI-powered dashboards for various domains in partnership with AppDynamics and Splunk.
- End-to-End CloudOps: Integration of hyperscalers and APM tools with Wipro Cloud Studio.
- Observability Maturity Assessment (OMA): A technology-agnostic framework for assessing monitoring and automation maturity.
By leveraging Cisco's AI product capabilities, Wipro ensures customers can unlock operational efficiencies, enhance user experiences, and drive sustained business growth. The results include:
