In today’s dynamic enterprise landscape, IT operations must evolve from reactive troubleshooting to proactive insight. As hybrid clouds, microservices, and distributed architectures redefine modern infrastructure, delivering seamless digital experiences now hinges on deep and intelligent observability.
Yet conventional monitoring tools often fall short. They provide siloed views, struggle to scale, or overwhelm teams with uncorrelated alerts that mask the root cause. What enterprises need is a unified observability platform — one that delivers contextual visibility across every layer of the IT ecosystem, intelligently connects signals to insights, and enables data-driven, automated responses when it matters most.
With a full-fledged observability solution, you can:
Observability redefines how enterprises understand and manage complex IT environments — empowering teams to move from simply monitoring what happened to uncovering why it happened, and proactively preventing it from happening again.

We’re proud to share that Zoho Corp. (ManageEngine) has been recognized as a Major Player in the IDC MarketScape: Worldwide Observability Platforms 2025 Vendor Assessment (doc # US53004325, November 2025). We believe this is a significant acknowledgment of our investment and success in bringing AI-powered observability practices to enterprises around the globe.
We believe being included in the IDC MarketScape underscores ManageEngine’s strengths in areas such as:
Let us now take a look at some of our core AIOps/ observability features.
Modern enterprises cannot afford to operate reactively. ManageEngine leverages AI-powered anomaly detection to spot irregular patterns in IT performance before they escalate into critical failures. Using advanced ML algorithms, ManageEngine continuously analyzes network, server, and application behavior to detect deviations from normal performance baselines.
The system identifies outliers in metrics such as CPU utilization, memory consumption, and response times, helping IT teams address potential issues before they impact business operations.
Unlike traditional manual thresholds, ManageEngine's adaptive thresholds dynamically adjust by analyzing your infrastructure's historical and real-time usage patterns, ensuring that your monitoring mechanism is context-aware.
By detecting anomalies early, IT teams can proactively mitigate risks, minimize downtime, and enhance overall service reliability.
ManageEngine leverages predictive analytics to help IT administrators anticipate infrastructure faults, performance degradation, and resource constraints. Its in-house ML algorithms continuously analyze infrastructure behavior over time, identifying patterns to forecast potential issues. These predictive insights enable proactive fault detection, allowing administrators to address resource bottlenecks and performance anomalies preemptively. Additionally, ManageEngine recommends remediation actions to mitigate risks and ensure optimal infrastructure performance.
Utilize AI-driven algorithms to predict future infrastructure performance trends accurately, enabling proactive measures to align with the evolving demands of your IT environment. Learn more.
Stay ahead of resource exhaustion by predicting the estimated time until network resources reach critical thresholds. This prediction is derived from continuous observation of resource usage patterns over time and analyzed through an advanced forecast engine. Based on these forecasts, proactive alerts are triggered, allowing network administrators to mitigate risks and implement effective capacity planning strategies. Learn more.
Turn the forecast bottlenecks into actionable insights with Zia Insights dashboards. Receive AI-powered recommendations on predicted infrastructure faults and stay ahead of the curve by empowering your IT teams to act proactively and mitigate faults even before they arise. Learn More.
Harness the power of generative AI to transform raw observability data into actionable intelligence. From predictive recommendations to conversational interfaces, these capabilities help teams work smarter, not harder.
Effortlessly transform raw, complex data into clear, actionable insights. With our in-house AI model, IT teams can analyze device performance through concise, human-readable summaries instead of sifting through dense graphs and data points.
Powered by advanced LLMs, the platform automatically correlates telemetry data across metrics, logs, and traces to identify the most probable root causes. This accelerates fault isolation and minimizes downtime by removing the guesswork from troubleshooting.
Interact with your observability data through a conversational chatbot. Use plain language to query logs, metrics, and traces, or generate human-readable summaries of incidents and anomalies, making it easier for teams to understand and act quickly.
Our platform empowers IT teams with end-to-end observability across infrastructure, applications, and services, providing a unified view that breaks down operational silos. By consolidating metrics, events, and telemetry from multiple sources, it enables faster insights, proactive monitoring, and streamlined operations, ensuring IT and DevOps teams can manage complex environments efficiently and maintain optimal service performance.
Gain a dynamic, real-time topology view of your infrastructure, showcasing relationships between devices, applications, and services. Instead of navigating through scattered data points, IT teams can see dependencies at a glance, helping them quickly identify problem areas, understand potential impact, and streamline troubleshooting efforts.
Integrate seamlessly with ITSM platforms, collaboration tools, and cloud services to centralize monitoring and incident response.
Use customized, API, or webhook-driven integrations to customize troubleshooting. Leverage automated, trigger-based workflows to implement Level 1 fault remediation measures.