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TCS ERP on Cloud
TCS Enterprise Manager: Elevating IT Operations Management
Highlights
- Organizations are rapidly moving to complex and multi-cloud IT landscapes and continuously scaling up to support massive data-driven, real-time applications around the clock.
- Most organizations continue to run several important applications on their on-premises infrastructure, further complicating the IT landscape.
- Observability of such a multifaceted IT landscape is proportionately challenging, leading to sub-optimal performance of IT resources and disruptions in IT operations due to outages.
- Modern IT application and infrastructure managers require a new-age observability platform that offers a single pane of glass visibility of the entire IT landscape, proactive and preventive alerts, self-healing with machine learning and controlled automation, spend control, and support for compliance.
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Why multicloud
In today's fast-paced world, where technology plays an integral role in almost every aspect of our lives, the demand for running massive data-driven and real-time applications around the clock is ever-increasing. Organizations are rapidly moving towards complex multi-cloud IT landscapes while continuously scaling up their infrastructure—a move that has its challenges but also immense opportunities for growth in efficiency and productivity.
As these organizations continue to run several important applications on their on-premises infrastructure, the already intricate network of IT assets across different environments – public clouds, private clouds, or hybrid cloud models—becomes increasingly difficult to monitor, manage, and govern. This complexity is going to increase as, according to Gartner®, 90% of organizations will adopt hybrid cloud by 20271. However, most CxOs complain about the lack of coordination among IT teams and vendors for maintenance and change management activities, as well as suboptimal resource utilization and lack of observability, leading to outages and disruptions. Gartner predicts 25% of organizations will experience significant dissatisfaction with their cloud adoption by 2028, due to unrealistic expectations, suboptimal implementation, and/or uncontrolled costs2.
Delays and reworks are very common as IT teams and stakeholders often work with multiple monitoring and service management tools and in siloed environments. Additionally, monitoring using disintegrated toolsets available in-house or provided by IT and application vendors, along with limitations in skillset, further reduces the visibility on performance and utilization across the vast IT landscape. Due to data silos being present across multiple tools, resources are often overprovisioned and underutilized, leading to higher cost of operations. Hence, organizations require effective and preventive strategies to observe and govern their IT infrastructure with continuous cost control and optimization.
This blog delves into the strategies that organizations can adopt to obtain the benefits of agile onboarding, cost efficiency, rapid scalability, and security.
Holistic IT insights
In any modern IT-enabled organization, IT infrastructure includes numerous hardware and software components that need to be up and running with optimal performance to ensure reliable business operations. Unified observability brings in comprehensive visibility across all infrastructure layers - applications, networks, endpoints, servers, and workloads spread over multiple clouds and on-premise setups. A unified platform (such as TCS Enterprise Manager) ensure IT teams do not need to toggle between multiple tools, reduces reliance on diverse skillsets needed to monitor and manage applications, and ensures all metrics, events, logs and traces are available in a single place and can be correlated easily to perform root cause analysis.
The use of AI and ML to forecast values of key parameters aids the support team in scaling up resources or balancing the load to avoid disruption.
Process automation
Incorporating observability tools like TCS Enterprise Manager goes beyond real-time monitoring; they play a pivotal role in streamlining deployments and maintaining systems through advanced practices such as infrastructure as code (IaC) automation. With IaC, configurations are treated as code that can be version-controlled, tested, and rolled out consistently, reducing the chances of human error during manual setup processes. The solution automates provisioning tasks, which get executed upon command, effectively deploying services across the organization's infrastructure without manual intervention.
Additionally, observability platforms can seamlessly integrate with continuous integration and deployment (CI/CD) pipelines to automate patch management; scan for the latest updates or security fixes automatically via agents that keep track of application versions in use across environments, triggering alerts when out-of-date packages are detected. This approach mitigates known vulnerabilities, keeping services secure and stable. It eliminates disruptive downtime caused by manual patch cycles. Automation in deployment and proactive monitoring enables rapid response, enhancing operational resilience and strengthening the security posture. Features such as an integrated maintenance calendar allow IT personnel to schedule and orchestrate routine or emergency changes effectively.
Integrated FinOps
Cloud adoption has resulted in unchecked expansion of an organization’s computing resources across multiple clouds and services, often resulting in increased complexity and costs that are difficult to manage effectively. Cloud sprawl is characterized by a lack of central oversight, leading to redundant investments without realizing cost savings or efficiency improvements typically expected from cloud adoption strategies such as multi-cloud setups. Effective management requires robust governance practices, utilization analytics for intelligent resource allocation decisions. TCS Enterprise Manager provides comprehensive insights and helps detect over-provisioning and underutilization, identify irregular expenses or unaccounted usage, billing anomalies and related cost leakage within a multi-cloud environment.
Service management
Integrating observability platforms with service management is key. Aggregating logs, metrics, and traces from disparate sources and integration with service management allows faster and accurate root cause analysis of issues. It simplifies operational complexity through automation, reducing manual intervention required in incident management processes. Integrated service control provides quick access to necessary tools to resolve problems efficiently, enhancing the speed of response times significantly. Enhanced security is another benefit as centralized logging can be continuously monitored for anomalies indicating potential breaches or threats. Moreover, centralized management supports compliance adherence easily due to comprehensive logging capabilities essential for auditing purposes.
In summary, integrated service management elevates the effectiveness of observability platforms by providing a holistic, streamlined approach that improves reliability, efficiency, security, and maintains regulatory standards within IT environments. Every change in the application, IT infrastructure and security posture must be recorded in a singular change management platform and implemented through proper approval workflow to minimize disruption.
Power of genAI
AI/ML and genAI features augment the capabilities of observability platforms. It enhances anomaly detection capabilities by learning normal behaviors and recognizing deviations automatically. It also aids in predictive maintenance, allowing IT teams to anticipate failures leading to preemptive issue resolution, reducing downtime and improving user experience while minimizing manual intervention needs. AI capabilities autonomously respond to certain issues detected by triggering predefined workflows like scaling resources or alert escalation processes. ML models assist in predicting resource needs based on usage trends and peak loads, ensuring that IT environments scale appropriately during demand surges without manual intervention for load balancing decisions.
Conclusion
As cloud adoption and innovation continue to evolve, the key to navigating complexity and driving operational excellence lies in a unified observability platform. By integrating real-time monitoring, robust logging capabilities, FinOps practices, AI/ML, service management, and continuous development, organizations will achieve resilient IT operations, simplify their processes and enhance cost efficiency.
Our solution brings together monitoring, automation, cost management and service management with AI/ML and genAI capabilities for multi-cloud, multi-application setups under a single pane of glass. With smart alerts, AI-powered recommendations, elaborate real-time monitoring dashboards, and fully integrated service management features, it empowers organizations to proactively address issues, optimize performance, and streamline operations, all while reducing downtime and enhancing overall efficiency.
References
1Gartner Press Release, Gartner Forecasts Worldwide Public Cloud End-User Spending to Total $723 Billion in 2025, November 19, 2024
2Gartner Press Release, Gartner Identifies the Top Trends Shaping the Future of Cloud, May 13, 2025
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