AIOps platform for IT monitoring

Site24x7's AIOps platform combines AI, ML, and advanced analytics to transform reactive IT operations into proactive, self-healing workflows. Detect anomalies before they cause outages, correlate thousands of events into actionable root causes, and automate remediation across your entire stack.

What makes Site24x7 a leading AIOps platform:

  • Zia-powered anomaly detection
  • Causal AI event correlation
  • Predictive forecasting
  • Automated incident remediation
  • GenAI-assisted troubleshooting
Start 30-day free trial Try now, sign up in 30 seconds

Core capabilities of Site24x7's AIOps platform

A robust AIOps platform needs to ingest operational data at scale, apply intelligent analytics, and automate response workflows. Site24x7 delivers all three through Zia-powered AI and over a decade of Zoho's ML research, helping DevOps, SRE, and network teams detect and resolve mission-critical issues before they impact end users.

Data visualization and business intelligence for IT

Data visualization and business intelligence for IT

With business-critical data organized in the form of charts, dashboards, and reports, fetch the right piece of information quickly and analyze the data required for troubleshooting. Leverage root cause analysis (RCA) reports to understand the issues within your IT environment.

Predict future trends with Zia-based forecasting

Go beyond reactive monitoring with Zia-based Forecast, which analyzes historical performance data to predict future resource utilization. These AI-powered predictions extend across server metrics, AWS service metrics, and application performance, enabling proactive resource management across your entire infrastructure.

AIOps space predictions-Site24x7
Anomaly detection and proactive alerting

Anomaly detection and proactive alerting

Detect anomalies, like website response time spikes, an increase in network bandwidth utilization, or high CPU utilization in your server, with Site24x7's anomaly detection engine. Configure Zia-based thresholds and receive alerts so you can act on issues before they impact your business.

Automate solutions to common issues using simple scripts

You don't need to manually act on every Zia-based threshold alert. Use IT Automation to orchestrate incident remediation with simple scripts that resolve issues automatically. By automating these repetitive tasks, your IT team can focus on higher-value work while the AIOps platform handles routine incident response around the clock.

IT automation using AIOps tool
AI led event correlation

Causal AI-led event correlation

Alert fatigue is one of the biggest challenges in IT operations, with teams receiving thousands of notifications during a single incident. Site24x7’s causal AI-led event correlation addresses this by correlating all related infrastructure events into consolidated 'Problems' using domain awareness and AI-driven pattern recognition. Instead of sifting through individual alerts, your team sees a handful of probable root causes to investigate. Identify why an issue happened, not just what broke. Once root causes are found, orchestrate remediation actions with Qntrl to cut your Mean Time to Recovery (MTTR) and build resilient IT operations.

Automated remediation with Qntrl-powered workflows

Orchestrate end-to-end incident resolution with Qntrl by bridging the gap between intelligent detection and autonomous action.

  • Event-driven triggers: Map sophisticated automated actions to specific alert events and performance thresholds.
  • Complex logic execution: Deploy multi-step, conditional workflows to handle intricate system fixes without manual intervention.
  • Reduced MTTR: Mitigate impact and remediate confirmed root causes through consistent automation.
Automated remediation with Qntrl-powered workflows

GenAI and NLP-powered assistants for IT operations

Get instant answers about your IT environment through Site24x7's GenAI capabilities. Ask Zia is a conversational chatbot that retrieves information across alarms, reports, outages, and monitoring views without navigating multiple pages. Zia Assistant uses natural language prompts to generate IT automation scripts, create log patterns, and build custom plugins. Access these AI assistants directly from collaboration platforms like Microsoft Teams and Zoho Cliq for faster, context-aware troubleshooting.

NLP-based chatbots for IT operations-Site24x7 AI-monitoring tool

Why choose Site24x7 as your AIOps platform

Site24x7, with its statistical ML capabilities and over 10 years of Zoho's AI research, processes more than one billion AI and ML requests per month. Here's what sets our AIOps platform apart from the competition.

Low data setting models

Site24x7's AI models deployed with transfer learning techniques work in a low data setting.

Explanation ready

The Anomaly Dashboard provides predictions with detailed explanations on where and what caused each anomaly.

Privacy friendly

Site24x7's AI models are privacy-friendly with transparent data collection and processing. As both a data controller and processor, Site24x7 is aligned with GDPR, SOC 2, HIPAA, PCI DSS, and ISO/IEC standards.

Frequently asked questions about AIOps

AIOps stands for artificial intelligence for IT operations. It refers to multiple layers of technology that automate and enhance IT operations management (ITOM) using AI and ML-powered insights.

AIOps stands for artificial intelligence for IT operations. It refers to different layers of technology that automate and enhance IT operations management (ITOM) using AI and ML-powered insights.

AIOps is the process of combining big data and machine learning to automate IT operations. It simplifies ITOM by automating problem resolution in complex IT automation. AIOps is the application of advanced analytics and includes event correlation, anomaly detection, and causality determination. It drives digital transformation and brings together complex, dynamic IT environments to meet user demands for uninterrupted operations.

AIOps tools are ITOM tools equipped with AI and ML capabilities that can harness the power of these technologies to improve IT operations. They monitor different IT resources and have built-in AIOps features like pattern discovery, anomaly detection, and RCA. AIOps tools collect and consolidate operational data into a big data platform and use advanced analytics and ML to identify, fix, and report IT issues. They aim to reduce the processes involved in monitoring, automation, and operating a service desk.

IT environments are complex these days with microservices, virtualization, cloud and containerization, and distributed architecture. The way businesses operate is changing dynamically with the advent of digital transformation. AIOps has a great potential for analyzing data from disparate sources. In IT infrastructures today, data is scattered across servers, devices, and applications and has to be consolidated for better troubleshooting and analysis. AIOps is a combination of monitoring, AI and ML, and analytics. It provides the necessary data correlation combined with actionable insights for quicker remediation of issues.

AIOps involve data selection, pattern discovery, inference, collaboration, and automation. In monitoring terms, AIOps involve data collection from multiple sources, auto-discovery and data correlation, data analysis for actionable insights, inter-team collaborations for further analysis, and automation to solve probable issues.

AIOps supports and enhances monitoring by solving analytics challenges, speeding up troubleshooting, and problem-solving. It also improves collaboration between IT teams, accelerates deployments, automates issue fixes, and reduces alert noise by solving common issues. This reduces operational costs. AIOps is more than an option and is inevitable for successful business operations.

When evaluating AIOps platforms, look for key capabilities such as real-time anomaly detection, intelligent event correlation, predictive forecasting, automated remediation workflows, and robust data visualization. The platform should integrate seamlessly with your existing monitoring stack, support hybrid and multi-cloud environments, and offer AI-driven root cause analysis. Scalability, data privacy compliance, and low data requirements for ML models are also critical selection criteria.

A complete AIOps platform for your IT stack

Start 30-day free trial Try now, sign up in 30 seconds
Looking for assistance? We’re here to help!

Want to learn more?

  • Personalized product demo
  • Proof of concept for set up
  • 30-day, unlimited, free trial
Request a Demo

Interested in our services?

  • 24/5 customer support
  • Flexible and competitive pricing
  • Better ROI
Get quote