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Professional monitoring dashboard setup that gives real-time insights into your AI/ML system’s performance, reliability, and uptime-using AWS-native and open-source tools like Prometheus, Grafana, and CloudWatch.
Overview
MLOpsCrew Monitoring Dashboards is a complete professional service designed to help you stay ahead of model failures and system performance drops by implementing intelligent monitoring and alerting for AI/ML systems running on AWS.
Our service transforms your AWS-hosted ML models into fully monitored, observable systems using industry-standard monitoring tools integrated with AWS services. We deploy Grafana dashboards on AWS EC2 instances, configure Prometheus metrics collection, and integrate with AWS CloudWatch to provide complete visibility into your model's performance, system health, and business metrics.
For detailed insights on ML monitoring best practices and MLOps strategies, visit our blog at https://www.mlopscrew.com/blog
Highlights
- Real-Time ML Metrics: Track model accuracy, latency and throughput using AWS-hosted Grafana dashboards
- Intelligent AWS Alerting: Proactive notifications via AWS SNS, email, and Slack before issues impact users
- System Health Dashboards: Visualize CPU, memory, disk, and request behavior with Grafana
Details
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Pricing
Custom pricing options
Pricing is based on your specific requirements and eligibility. To get a custom quote for your needs, request a private offer.
Legal
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Support
Vendor support
Customer Support Commitment
Support Level: Professional technical support with comprehensive setup walkthrough and ongoing monitoring assistance
Contact details:
- Email: cloudsupport@mlopscrew.com
- Support Hours: Monday to Friday, 10 AM to 7 PM IST
- Response Time: Within 24 hours on business days (Emergency support available)
- Contact Form: https://www.mlopscrew.com/pricing-package
What We Support
- AWS EC2 Grafana Setup: Complete installation and configuration of Grafana on AWS EC2 instances
- AWS CloudWatch Integration: Seamless integration with AWS CloudWatch for infrastructure and application metrics
- Prometheus Configuration: Custom metrics collection and exporters for ML model monitoring
- AWS SNS Alert Setup: Multi-channel alerting through AWS SNS, email, and Slack integrations
- 5 business days of post-deployment Slack support
Frequently Asked Questions (Q&A):
- Q1: What does this service include?
A: We set up real-time dashboards and alerts to monitor your model’s performance and system health on AWS. - Q2: How long does setup take?
A: Setup is completed within 7 business days, depending on the system's complexity. - Q3: What tools do you use?
A: Grafana, Prometheus, AWS CloudWatch, custom exporters, and alerting integrations. - Q4: What metrics can we track?
A: You can monitor latency, throughput, errors, CPU, memory, and other custom metrics. - Q5: Can you set up Slack or email alerts?
A: Yes, we use AWS CloudWatch to set up real-time monitoring and alerts for errors, high latency, or instance failures.