The Observability Foundry provides a comprehensive suite of tools for observability in under 5 minutes . It includes Mimir and Prometheus for metrics collection, Tempo and Jaeger for traces collection, Loki and OpenSearch for log management, and Grafana for visualization, all integrated with SSO capabilities.
Accelerate development with pre-configured observability tools. Spin up a production-grade observability platform on your Kubernetes cluster in under 5 minutes using a Helm-based installation. Observability helps you understand your system's performance, troubleshoot issues, and ensure reliability.
Collect and correlate logs, traces, and metrics from all components of your system, including frontend, backend, and containerized workloads.
Built on the OpenTelemetry standard, all telemetry data is collected using a vendor-neutral, industry-standard protocol for maximum compatibility and future-proofing.
The observability stack is designed with a dual OpenTelemetry Collector architecture, enabling efficient data collection from both applications and infrastructure. This ensures comprehensive observability across your entire system.
Application instrumentation is performed using OpenTelemetry auto-instrumentation agents, meaning no source code modifications are needed to begin capturing observability data.
Pre-configured Grafana dashboards for logs, traces, and metrics. Easily visualize your system, set up alerting rules, and perform real-time log analysis with intuitive queries.
Integrates with built-in OIDC and OAuth2-based Single Sign-On (SSO) for secure access control.
Keep sensitive telemetry data inside your Kubernetes environment. No subscriptions or external storage are required — you retain full control over your data.
Deploy or tear down the observability stack on demand, making it ideal for testing, staging, and production environments with varying workloads.
Observability Foundry is built entirely on trusted and widely adopted open source technologies such as OpenTelemetry, Grafana, Loki, Jaeger, and Prometheus. This ensures transparency, community support, and long-term sustainability without vendor lock-in. You can audit the source code, contribute enhancements, or tailor the platform to meet specific security or compliance requirements.
Observability Foundry is designed for easy and fast deployment, allowing users to set up a comprehensive observability stack in minutes. With pre-configured components and automated deployment scripts, it simplifies the process of collecting, storing, and visualizing telemetry data. Users can quickly get started with minimal configuration, making it ideal for both development and production environments.
Observability Foundry is designed around an OpenTelemetry-centric architecture, making it easy to integrate telemetry data from a wide range of sources. With built-in support for OpenTelemetry Instrumentation, it works seamlessly across many programming languages and frameworks, enabling effortless collection of metrics, traces, and logs. The collected data can be sent to popular backends like Prometheus, Jaeger, and OpenSearch for storage, visualization, and analysis.
Observability Foundry employs a dual OpenTelemetry Collector architecture, separating application and infrastructure telemetry. This approach allows for more efficient data collection and processing, ensuring that application-specific metrics, traces, and logs are handled independently from infrastructure-level telemetry. By using two dedicated collectors, the system can scale better and provide more focused insights into both application performance and infrastructure health.
Observability Foundry supports smart deployment profiles, allowing users to customize their observability stack based on specific needs. Whether you require a lightweight setup for development or a full-scale production environment, the deployment profiles can be tailored to include only the necessary components. This flexibility ensures optimal resource utilization while maintaining comprehensive observability capabilities.
Observability Foundry comes with pre-configured Grafana data sources for OpenSearch, Prometheus, and Jaeger, making it easy to get started without manual setup. Users can instantly visualize logs, metrics, and traces through ready-to-use Grafana dashboards—offering a unified view of system performance and health. Grafana alerts can also be configured to notify users of issues or anomalies, enabling proactive monitoring and faster troubleshooting.
Observability Foundry includes pre-configured Grafana dashboards that provide instant insights into system performance. These dashboards are designed to visualize key metrics, traces, and logs, allowing users to monitor their applications and infrastructure effectively. With ready-to-use dashboards, users can quickly identify issues, track performance trends, and gain a comprehensive understanding of their observability data.
Observability Foundry includes pre-configured Grafana alerts that help users monitor their systems effectively. These alerts are designed to notify users of critical issues, such as high error rates, latency spikes, or resource exhaustion. With built-in alerting rules, users can quickly set up notifications via email, Slack, or other channels, ensuring they stay informed about the health and performance of their applications and infrastructure.
The Observability Foundry provides a dedicated Grafana dashboard for application metrics, enabling users to monitor application performance in real-time. This dashboard visualizes key metrics such as response times, error rates, and throughput, helping users identify bottlenecks and optimize application performance. With customizable panels and visualizations, users can tailor the dashboard to their specific monitoring needs.
Observability Foundry includes a Grafana dashboard specifically designed for infrastructure metrics. This dashboard provides insights into the health and performance of underlying infrastructure components, such as servers, databases, and network devices. Users can monitor resource utilization, system load, and other critical metrics to ensure the reliability and efficiency of their infrastructure.
The Observability Foundry features Grafana Explore, a powerful tool for log exploration and analysis. Users can search, filter, and visualize logs from various sources, enabling them to troubleshoot issues and gain insights into system behavior. With advanced querying capabilities, Grafana Explore allows users to quickly identify patterns and anomalies in their log data.
Observability Foundry provides Grafana Explore for trace analysis, allowing users to visualize and analyze distributed traces. This feature helps users understand the flow of requests through their applications, identify latency issues, and pinpoint performance bottlenecks. With detailed trace views, users can gain insights into the interactions between different services and components.
The Observability Foundry integrates Grafana for both traces and logs, providing a unified platform for observability. Users can correlate trace data with log entries, enabling them to troubleshoot issues more effectively. This integration allows for a comprehensive view of system behavior, making it easier to identify and resolve performance problems across applications and infrastructure.
Observability Foundry includes a pre-configured Keycloak OIDC server to provide secure authentication and authorization for Grafana and other integrated components. This setup simplifies user management and access control, ensuring that only authorized users can access or modify telemetry data. With built-in OpenID Connect (OIDC) support, Keycloak integrates seamlessly with Grafana—enhancing security while keeping the user experience simple and intuitive.Keycloak OIDC Server Provisioned
Interested in running Observability Foundry on your own infrastructure? I currently offer installation support for AWS EKS. Support for Azure AKS and Google GKE is coming soon.
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