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    Digitalis.IO Monitoring Stack

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    Deployed on AWS
    Free Trial
    AWS Free Tier
    Digitalis.IO Monitoring Stack is a complete production-ready observability solution for cloud environments. It deploys Grafana, Prometheus, Loki, Tempo, Mimir, and Alertmanager with minimal effort on AWS, Hetzner Cloud, or Exoscale. Designed for simplicity and scalability, it enables real-time monitoring of metrics, logs, and traces, along with intelligent alerting and long-term storage. The stack can be launched in minutes using AWS CloudFormation or Terraform, making it ideal for both quick tests and enterprise-grade deployments. With integrated dashboards, distributed tracing, and log aggregation, this solution helps teams achieve full visibility into their infrastructure and applications.

    Overview

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    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.

    Details

    Delivery method

    Delivery option
    64-bit (x86) Amazon Machine Image (AMI)

    Latest version

    Operating system
    Ubuntu 24.04

    Deployed on AWS

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    Pricing

    Free trial

    Try this product free for 5 days according to the free trial terms set by the vendor. Usage-based pricing is in effect for usage beyond the free trial terms. Your free trial gets automatically converted to a paid subscription when the trial ends, but may be canceled any time before that.

    Digitalis.IO Monitoring Stack

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    Pricing is based on actual usage, with charges varying according to how much you consume. 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.

    Usage costs (695)

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    • ...
    Dimension
    Cost/hour
    t3.large
    Recommended
    $0.02
    t2.micro
    AWS Free Tier
    $0.02
    t3.micro
    AWS Free Tier
    $0.02
    r5d.24xlarge
    $0.02
    r5b.xlarge
    $0.02
    r7i.16xlarge
    $0.02
    i4i.32xlarge
    $0.02
    r8i.48xlarge
    $0.02
    m7i.xlarge
    $0.02
    g2.2xlarge
    $0.02

    Vendor refund policy

    Refunds are evaluated on a case by case basis. Please contact our support team with your request, including your AWS account ID and product details. Refunds will be processed promptly upon approval, typically within 5 business days. Annual subscription cancellations may be allowed according to terms. Refund requests must be directed to the seller.

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    Usage information

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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 release

    Additional details

    Usage instructions

    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.

    https://github.com/digitalis-io/ami-monitoring/ 

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