Automated analysis
Leveraging machine learning and artificial intelligence techniques to analyze and identify patterns within extensive datasets, enabling the automatic detection and resolution of potential issues.
AIOps and IT Automation
Our AIOps intelligent operations service facilitates the automation of enterprise IT environment, streamlining their management processes. This results in the creation of a comprehensive, one-stop automated intelligent operations platform that spans across diverse IT domains in the cloud era.
Gartner defines AIOps as "Artificial Intelligence for IT Operations." AIOps is a methodology and technology that incorporates artificial intelligence and machine learning into the realm of IT operations. By integrating big data analytics, machine learning, automation, and intelligence, AIOps aims to improve the efficiency and reliability of IT operations.
AIOps/Artificial Intelligence for IT Operations
AIOps necessitates the capability to integrate data from diverse sources, aggregating information from various channels like monitoring systems, log files, performance metrics, etc., to attain a holistic view of IT operations. Key features of AIOps include:
real-time Monitoring and alerts
Providing real-time monitoring and alerting capabilities, capable of promptly detecting and responding to anomalies to minimize downtime and bolster system reliability.
Predictive Analytics
Harnessing historical data and machine learning algorithms for predictive analytics facilitates early prediction of potential faults and performance issues. This approach supports effective capacity planning and optimal resource allocation.
Intelligent Automation
Capable of autonomously performing routine operational tasks, including automated troubleshooting, root cause analysis, and remediation, thereby reducing manpower and time costs.
Instantly comprehend without speculation
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Understand how leveraging artificial intelligence in operations allows you to obtain precise answers in real-time, automatically and continuously.
Explore how artificial intelligence in operations drives automation and provides broader, deeper insights for your environment.
Identify The Precise Root Causes & Proactively Eliminate Alert Storms
Efficiently evaluate numerous dependencies within milliseconds, automatically discern issues, and perform automated root cause analysis with precision, effectively identifying all problems linked to a singular root cause.
Diverging from conventional machine learning methodologies, the approach eschews speculation and the protracted process of model training. Once the root cause is identified, you can resolve issues before they impact customer experience, allowing more time for innovation.
Delivering AI-Informed responses based on advanced observable data
The integration of advanced observability with artificial intelligence and automation seamlessly amalgamates contextual information for correlation. Augmenting the three foundational elements of observability—indicators, logs, and traces—through user experience and topological data expansion, a holistic comprehension of observed data contexts is achieved, facilitating accurate responses. The open API allows effortless integration of external data sources from CI/CD pipelines, cloud platforms, and service management tools, thus enabling extended capabilities in AI processing.
Automatically Comprehend The Dynamically Intricate Cloud Environment
Continuously and automatically identify real-time changes in the evolving environment. Recognize entity relationships without the need for manual configuration. Even containerized processes running microservices in dynamic Kubernetes environments are automatically mapped.
Transform AI-Generated Recommendations Into Automated Execution Strategies
Leverage contextual information provided by AI to analyze extensive real-time data, subsequently providing recommendations for the development of automated execution scripts, effectively addressing a myriad of automation scenarios.
