Intelligent Cloud Operations
Get freedom from downtime! Conquer any complexity with the most comprehensive AI-powered SaaS observability that works across your entire topology. Troubleshoot and resolve problems quickly for microservices, serverless applications with sophisticated artificial intelligence features such as anomaly detection, root-cause-analysis. Augment your operations team with contextual awareness, frictionless management of an incident to reduce both your MTTD (mean time to detect) and MTTR (mean time to repair).
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The Ultimate AI Solution for Distributed Cloud Application Management
Key Features and Benefits
Manage your cloud operations and boost your team productivity with the helpful AI augmented services.
Intelligent
Most comprehensive (logs, metrics, traces) AI-powered incident detection and actionable insights with root-cause-analysis
Reduced Noise & Alert Fatigue
Avoids dealing with large volumes of statically configured alerts that are hard to maintain and not productive to investigate during an incident
Open
Use familiar successful technologies based on open source and open standards
Unified Analysis
Prevents silos by leveraging actionable insights from across your IT tool chains and services
Cloud Scale & Reduced Overhead
Use services at cloud scale with massive horizontal scalability without the burden of maintenance by leveraging CloudAEye Software-as-a-Service (SaaS)
Solution Brief
Current tools and processes aren’t ready for modern fast-paced cloud applications. Downtime and application issues translate directly into loss of revenue and adversely impact brand image. Curious if there is a better way to manage your cloud applications? Read this solution brief to learn more.
Our Latest Blog Posts
Stay up to date on the latest innovative technologies CloudAEye is building in AI, Cloud, DevOps.
AI-powered Kubernetes
Kubernetes is the defacto open-source orchestration framework for deployment, scaling, and management of containerized applications. With CloudAEye, one can now add intelligence to their SRE/DevOps practices for Kubernetes. Users can seamlessly monitor logs and metrics in realtime with state-of-the-art anomaly detection and root cause analysis.
Observability for Lambda
The need to deliver flawless digital experiences to customers is more critical than ever now. Lambda by its nature is event-driven and operate in isolation. The lack of control over the ephemeral infrastructure makes it difficult to debug. In this blog, learn how to setup observability for lambda so that your SRE/DevOps/support teams can manage the distributed microservices running on serverless infrastructure.
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