Best AIOps Tools for Amazon CloudWatch
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Compare the Top AIOps Tools that integrate with Amazon CloudWatch as of October 2025
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This a list of AIOps tools that integrate with Amazon CloudWatch. Use the filters on the left to add additional filters for products that have integrations with Amazon CloudWatch. View the products that work with Amazon CloudWatch in the table below.
What are AIOps Tools for Amazon CloudWatch?
AIOps tools combine artificial intelligence and machine learning to enhance IT operations by automating the detection and resolution of issues in complex IT environments. They analyze massive amounts of data from various sources—like logs, metrics, and events—to identify anomalies and predict potential outages before they impact business. These tools enable proactive incident management, reduce noise by correlating alerts, and provide actionable insights for faster troubleshooting. AIOps supports continuous monitoring and root cause analysis, helping teams improve system reliability and performance. By integrating with existing IT infrastructure and tools, AIOps enhances operational efficiency and enables smarter decision-making. Compare and read user reviews of the best AIOps tools for Amazon CloudWatch currently available using the table below. This list is updated regularly.
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Sedai
Sedai
Sedai is an autonomous cloud management platform powered by AI/ML delivering continuous optimization for cloud operations teams to maximize cloud cost savings, performance and availability at scale. Sedai enables teams to shift from static rules and threshold-based automation to modern ML-based autonomous operations. Using Sedai, organizations can reduce cloud cost by up to 50%, improve performance by up to 75%, reduce failed customer interactions (FCIs) by 75% and multiply SRE productivity by up to 6X for their modern applications. Sedai can perform work equivalent to a team of cloud engineers working behind the scenes to optimize resources and remediate issues, so organizations can focus on innovation.Starting Price: $10 per month -
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Selector Analytics
Selector
Selector’s software-as-a-service employs machine learning and NLP-driven, self-serve analytics to provide instant access to actionable insights and reduce MTTR by up to 90%. Selector Analytics uses artificial intelligence and machine learning to conduct three essential functions and provide actionable insights to network, cloud, and application operators. Selector Analytics collects any data (including configurations, alerts, metrics, events, and logs), from various heterogeneous data sources. For example, Selector Analytics may harvest data from router logs, device or network metrics, or device configurations. Once collected, Selector Analytics normalizes, filters, clusters, and correlates metrics, events, and alarms using pre-built workflows to draw actionable insights. Selector Analytics then uses machine learning-based data analytics to compare metrics and events and conduct automated anomaly detection. -
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HCL IntelliOps Event Management
HCLSoftware
HCL IntelliOps Event Management is a part of Intelligent Full Stack Observability offering under HCLSoftware Intelligent Operations ecosystem. It is a cutting edge AI-powered IT event management product which empowers organizations with industry leading capabilities such as real-time topology-based alert correlation, ML-based alert correlation and efficient noise reduction. The product offers seamless integration with an organization's existing element monitoring and ITSM tools providing seamless integration with GenAI powered AEX to foster efficient and quick resolution.
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