Industry analysts and economists have long studied complexity in technology—the kind that creates value versus the kind that erodes it. In today’s hybrid IT and multicloud world, complexity is the new normal: enterprises span on-premise data centres, multiple public/private clouds, IoT, and edge. The accelerated pace of technology shift because of the pace of flow of business requirements leads to a rise in operational risk - configuration drift, policy gaps, alert fatigue, and compliance exposure. Traditional monitoring and manual workflows are no longer enough. 

To thrive, organisations need the strategic convergence of Observability, Manageability, Security and Automation - now supercharged by AI and Agentic AI. The result is deep visibility, consistent policy enforcement, reduced risk, intelligent decisioning, and autonomous action - a unified operational layer that turns chaos into clarity.

Observability: Understanding systems, not just watching them 

Observability goes beyond traditional monitoring. While monitoring answers “Is something wrong?”, observability answers “Why is it wrong?”. In the Gartner® Hype Cycle™ for Monitoring and Observability, 2025, Gartner notes that ‘The rapid pace of digital transformation, complexity of modern architectures, increasing complexity within hybrid cloud environments, AI-driven systems, and the need for improved customer experience and enhanced employee engagement require heads of I&O to manage multiple complex hybrid topologies and integrate multiple disparate monitoring solutions. Up to 84% of current observability users struggle with the costs and complexity of their daily monitoring responsibilities. Observability is uniquely positioned to address these technology challenges*.

AI answers “Why is it wrong?” by unifying metrics, events, logs, and traces. AI enhances this layer with anomaly detection, causal inference, and predictive insights, while Agentic AI can propose or execute corrective actions under guardrails. Together they surface unknown unknowns and optimize performance across the stack. This leads to business benefits such as a 66% improvement in Mean Time to Resolution.

The four pillars of observability are:

  • Metrics: quantitative signals such as CPU, memory, and latency

  • Events: contextual signals triggered by change

  • Logs: detailed records of actions and processes

  • Traces: end to end visibility across domains and distributed transactions

With these pillars and AI, teams can explore unknown risks, or issues they didn’t anticipate, and proactively optimize performance. Observability platforms unify telemetry data, apply AI-driven analytics, and deliver real-time insights across the entire stack.

Manageability: Enforcing Consistency at Scale with Control & Configurability

Hybrid environments invite configuration drift and policy gaps. Manual changes across multivendor estates are slow and prone to error. Configurability solves this by:

  • Abstracting multi-vendor complexity into a unified policy framework.

  • Maintaining golden configurations and enforcing security intent.

  • Detecting and remediating drift automatically.

Agentic AI auto-remediates drift and enforces security intent at speed.

Also Read: Intelligent, Autonomous, Scalable: Agentic AI for Marketing Automation

AI-native automation: From Reactive to Autonomous

Automation should orchestrate across the lifecycle:

  • Day 0 (Design): Blueprint hybrid environments using intent and predictive modelling with LLMs

  • Day 1 (Deploy): Automate onboarding and migrations with vendor-agnostic and AI enabled workflows

  • Day 2 (Operate): Apply AI-driven incident response and preventive analytics to avoid outages

If a platform is designed for such an approach, AI elevates automation from scripts to policies; offers agentic AI workflows, policy-driven automation, and predictive operations. The result is faster resolution, safer changes, and resilient operations.

AI-enabled automation brings correlation, prediction, and recommendations. It normalises and enriches telemetry, identifies patterns and anomalies, and surfaces prescriptive actions for human approval or autonomous execution. AI and Agentic enables proactive capacity analysis and correlates the data across network, security, cloud, and data centre domains for actions: human approval or autonomous execution.

There are some powerful use cases where Automation is powered by AI and Agentic AI:

  • Closed Loop Assurance: Detect QoS/SLA deviations; agents autoadjust paths, policies, or bandwidth

  • Zero-Touch Provisioning: AI-guided templates for SDWAN/LAN/WiFi; agents validate and roll back on error

  • Policy as Code: Continuous enforcement of security intent across on-prem, cloud, and edge, reducing compliance risk.

  • Safe Migration & Rollbacks: Agents orchestrate blue/green or canary deployments with automated verification

  • Predictive Maintenance: Detect early hardware failure signals; schedule maintenance to minimize risk

  • Firmware & Configuration Compliance: Agents ensure consistent baselines across servers, storage, and network fabrics

Powering-Better-CX-Age-AgenticThe Unified Platform Advantage

A platform that integrates observability, configurability, automation, and AI/Agentic AI delivers:

  • Single Pane of Glass: Unified visibility, control, and action across on-prem, cloud, and edge

  • AI-Powered Insights: Correlation, prediction, and prescriptive recommendations with closed loop execution

  • Scalability & Extensibility: Open APIs, declarative intent, and vendor-agnostic integrations

  • Trust & Safety: Policy guardrails, approvals, audit trails, and explainable decisions

Measurable Outcomes

  • Faster MTTR through autonomous resolution and assisted triage

  • Reduced risk via continuous compliance and drift remediation

  • Higher operational efficiency by minimizing manual effort and enhancing agility

  • Future-readiness with predictive operations and agentic automation for evolving demand

Final Thoughts

Observability, Manageability, Security, and automation remain foundational to resilient IT. Augmented by AI and Agentic AI, they evolve into an intelligent, autonomous operating fabric that moves teams from reactive firefighting to proactive optimization—delivering stronger security, better experiences, and sustainable business outcomes. Tata Communications uncomplicates and integrates your IT foundation, propelling you towards business success in today’s hyperconnected world.

Read more at https://www.tatacommunications.com/

*Gartner, Hype Cycle for Monitoring and Observability, 2025, 22 July 2025. GARTNER and HYPE CYCLE are trademarks of Gartner, Inc. and/or its affiliates.