Sold by: CORECLOUD
Deployed on AWS
An all-in-one, AI-powered observability stack customized for AWS. It pre-integrates Zabbix 7.0, Prometheus, and Grafana with pre-configured expert SRE dashboards. Features built-in instant alerts for DingTalk/Lark and automated root cause analysis (RCA) powered by Amazon Bedrock.
Overview
Struggling with complex CloudWatch configurations and unpredictable monitoring bills? Our Smart Observability Stack packages years of professional SRE experience into a production-ready, one-click AMI deployment. This solution bridges the gap between cloud-native metrics and traditional infrastructure monitoring, instantly providing deep visibility into your AWS environment without the setup hassle.
By unifying Prometheus and Zabbix under a single architecture, this stack eliminates the cost trap of expensive custom CloudWatch metrics while providing out-of-the-box, professionally designed Grafana dashboards for 20+ core AWS services (including Lambda, RDS, ELB, and EKS). It fully resolves local communication gaps with native, plug-and-play webhook notification adapters for enterprise IM tools like DingTalk, Lark (Feishu), and WeChat.
The defining feature is the integrated AI-driven Root Cause Analysis (RCA) engine. Seamlessly connected with Amazon Bedrock (Claude), the background AI agent auto-analyzes metric anomalies, trends, and error logs during alerts. Instead of receiving generic alarms, your team gets actionable troubleshooting playbooks instantly, effectively slashing your Mean Time to Resolution (MTTR) and reducing dependency on senior SRE experts.
Highlights
- AI-Powered Root Cause Analysis (RCA): Integrated with Amazon Bedrock to automatically transform complex telemetry anomalies into actionable, human-readable troubleshooting recommendations.
- Out-of-the-Box Expert SRE Dashboards: Pre-configured Grafana boards and thresholds for 20+ AWS services, reducing initial monitoring setup time by 90%.
- Predictable Cost & Instant Notifications: Eliminates expensive custom CloudWatch metric fees with localized, plug-and-play alert routing to DingTalk, Lark, and WeChat.
Details
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Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
AmazonLinux 2023
Deployed on AWS
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Pricing
This product is available free of charge. Free subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Vendor refund policy
This product is provided free of charge, and there are no software usage fees to refund. Please note that infrastructure costs incurred by running this product on AWS are billed directly by AWS and cannot be refunded by the seller. For technical support or questions, please contact us at corecloud@corec.cc
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Delivery details
64-bit (x86) Amazon Machine Image (AMI)
Amazon Machine Image (AMI)
An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
Version release notes
Initial production release of the AI-Powered All-in-One Observability Stack.
Key Features Included:
- Core Engines: Pre-configured Zabbix 7.0 and Prometheus monitoring environment.
- Visualization: Out-of-the-box Grafana SRE dashboards covering 20+ core AWS services (RDS, Lambda, ELB, etc.).
- AI Integration: Automated Root Cause Analysis (RCA) engine powered by Amazon Bedrock (Claude).
- Localized Alerts: Built-in notification webhook adapters for DingTalk, Lark, and WeChat.
- Security & Storage: Hardened OS layer with decoupled data storage mapping for EBS gp3 optimization.
Additional details
Usage instructions
Production environment/high concurrency: If your image includes a full set of monitoring components and needs to withstand a certain amount of computational pressure, we recommend m6i.large, m6g.large (general type) or c6i.large (computation-optimized type).
Support
Vendor support
For any technical support, product inquiries, or assistance with this product, please feel free to reach out to us. We provide 24/7 support through our dedicated channels:
- Email: corecloud@corec.cc
- Support Website: https://www.corec.cc/
- Ticket System:
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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