Sold by: AppTec
Benjamin Assist is an AI-powered DataOps and monitoring platform designed to ensure continuous performance, reliability, and security across cloud data environments. Leveraging Gen AI, proactive monitoring, and intelligent operation, it enables operational excellence for mission-critical data workloads on AWS.
AI-powered
DataOps
monitoring
cloud data
Gen AI
operational excellence
Overview
Benjamin Assist is an AI-driven DataOps and operational monitoring platform built to optimize, automate, and secure enterprise data ecosystems running on AWS. Designed for mission-critical environments, Benjamin provides 24/7 monitoring, proactive incident management, ETL orchestration supervision, intelligent workload optimization, and governance-ready observability. By integrating Gen AI capabilities into monitoring and operational workflows, Benjamin Assist enables predictive issue detection, anomaly analysis, automated remediation recommendations, and continuous performance optimization. The platform supports cloud, hybrid, and on-premise architectures connected to AWS services, enhancing data integration and enabling secure, scalable data consumption across the organization. Benjamin Assist relates to and operates alongside AWS services such as Amazon EC2, Amazon RDS, Amazon S3, AWS Lambda, Amazon CloudWatch, AWS IAM, AWS Glue, and Amazon SageMaker. It strengthens operational resilience, security posture, and governance controls while improving cost efficiency and performance visibility across the data lifecycle. The solution is ideal for enterprises requiring managed DataOps, ETL monitoring, AI-driven observability, and continuous operational support in regulated or high-availability environments.
Highlights
- AI / DataOps) AI-Powered DataOps Monitoring Continuous 24/7 monitoring with Gen AI-driven anomaly detection, predictive insights, and proactive incident management for mission-critical ETL and cloud data workloads.
- Operational Excellence & Reliability Ensures ETL execution accuracy, workload optimization, query performance tuning, and SLA-driven operational support across hybrid and AWS-native architectures.
- Secure & Scalable Data Consumption Enhances governance, role management, security best practices, and observability to enable trusted, compliant, and scalable enterprise data operations.
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Support
Vendor support
Support Channels: Email: benjamin.assist@apptec.com.mx Web Portal: https://www.apptec.com.mx/benjamin Business Hours: Standard: 5x8 (Business Hours, US Eastern Time) Extended: 24x7 available for critical incidents Response Times (SLA-based): Critical: < 1 hour High: < 4 hours Medium: < 8 hours Low: Next Business Day Support Types: Technical support (ETL, infrastructure, monitoring) Operational support (pipeline execution, incident resolution) Configuration & optimization Governance & security best practices Billing and subscription support Usage & Setup Guidance: Deployment guidance for AWS environments IAM role configuration best practices CloudWatch integration setup Credential rotation recommendations Backup and recovery procedures Secure network configuration Security Best Practices: Encryption in transit and at rest Role-based access control (RBAC) Least privilege IAM policies Audit logging enabled via AWS CloudTrail Secure API authentication mechanisms
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