Overview
Monitoring Stack
The wizard allows you to customize the installation of the monitoring components
Monitoring Stack

Product video
Digitalis.IO Monitoring Stack delivers a comprehensive observability platform that combines best-in-class open-source tools into a single, production-ready solution. It includes Grafana for interactive dashboards, Prometheus for metrics collection, Loki for log aggregation, Tempo for distributed tracing, Mimir for long-term metric storage, and Alertmanager for intelligent alert routing. This stack is designed to simplify monitoring across diverse environments, providing deep visibility into applications, infrastructure, and services. Deployment is fast and flexible. Users can launch the stack on AWS using CloudFormation for a quick, no-code experience or leverage Terraform for full infrastructure-as-code control. The solution supports auto-scaling, high availability, and integration with AWS services such as CloudWatch and S3 for secure, long-term data retention. For multi-cloud strategies, it also offers deployment options for Hetzner Cloud and Exoscale, ensuring cost-effective and privacy-focused alternatives. Once deployed, the stack provides a centralized hub for metrics, logs, and traces. Grafana dashboards allow teams to visualize performance trends, troubleshoot issues, and create actionable alerts. Prometheus scrapes application and infrastructure metrics, while Loki aggregates logs efficiently for fast querying. Tempo enables distributed tracing to analyze request flows across microservices, and Mimir ensures virtually unlimited retention for historical data. Alertmanager intelligently routes notifications to channels like Slack, PagerDuty, or email, reducing alert fatigue and improving incident response. The monitoring stack is ideal for a wide range of use cases, including Kubernetes cluster monitoring, application performance analysis, centralized log management, and infrastructure health checks. It supports OpenTelemetry for trace instrumentation and integrates seamlessly with existing observability workflows. Security best practices are built in, including TLS support, IAM role integration, and network access restrictions. Digitalis.IO specializes in cloud infrastructure, DevOps automation, and observability solutions. This monitoring stack reflects our commitment to helping organizations deploy modern, cloud-native applications with confidence. Whether you need a quick test environment or a robust enterprise-grade setup, Digitalis.IO Monitoring Stack offers the flexibility, scalability, and reliability required dynamic cloud ecosystems.
Highlights
- Deploy a complete observability stack in minutes with Grafana, Prometheus, Loki, Tempo, Mimir, and Alertmanager. Gain full visibility into metrics, logs, and traces while enabling intelligent alerting and long-term storage. Designed for simplicity and scalability, this solution works seamlessly on AWS and other cloud platforms.
- Choose between quick CloudFormation deployment or full Terraform control for infrastructure-as-code. The stack supports auto-scaling, high availability, and integration with AWS services like CloudWatch and S3, making it ideal for both rapid testing and enterprise-grade monitoring environments.
- Centralize monitoring for Kubernetes clusters, applications, and infrastructure with pre-integrated dashboards and OpenTelemetry support. Visualize performance trends, troubleshoot issues, and route alerts to Slack, PagerDuty, or email, ensuring faster incident response and improved operational reliability.
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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.
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Launch the EC2 instance and browse to the wizard to perform the initial configuration at https://<instance-ip>:9443. It is highly recommended to deploy this AMI using Terraform or Cloudformation. See full instructions in the link below.
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