Advanced Observability Suite

DuploCloud's Advanced Observability Suite or available as a Product add-on

DuploCloud's Advanced Observability Suite (AOS) is an add-on service to boost your monitoring and troubleshooting abilities. Built on OpenTelemetry, our AOS leverages Prometheus and Grafana to deliver robust, real-time observability for your cloud infrastructure. It includes real-time anomaly detection and customizable alerts and unifies metrics, traces, logs, and profiles to track all aspects of your environment easily.

The Grafana-powered dashboards can be customized to spotlight key metrics and visualize trends in real time, empowering swift, data-driven decisions. DuploCloud’s AOS simplifies troubleshooting and enhances system health by providing a holistic view of your application and infrastructure performance.

About OpenTelemetry

OpenTelemetry is an open-source project from the Cloud Native Computing Foundation (CNCF) that supports multiple programming languages and environments. It provides a flexible, vendor-neutral framework for monitoring and analyzing application performance. Designed for high scalability, OpenTelemetry is ideal for distributed applications and helps reduce costs by using open-source components instead of expensive proprietary systems. See the OpenTelemetry documentation for more.

Advanced Observability Suite Use Cases

Real-Time Monitoring and Observability

• System Health Check: Track real-time metrics like CPU usage, memory consumption, network traffic, and error rates across services to ensure that applications are healthy.

• Latency Tracking: Monitor request latencies to identify performance bottlenecks, particularly in services where latency spikes might indicate an issue.

• Error Rate Analysis: Track error counts and types to ensure services operate as expected and identify critical failure points.

End-to-End Tracing and Dependency Mapping

• Request Flow Visualization: Visualize the path of requests through different services to understand interdependencies and identify which services may contribute to slowdowns or failures.

• Service Dependency Mapping: See which services interact with each other, allowing for a clear view of critical service dependencies and helping identify potential cascading failures.

• Root Cause Analysis (RCA): Trace issues back to the source by identifying slow, failed, or error-prone transactions and drilling down to pinpoint problematic services or infrastructure.

Performance Optimization

• Identify Performance Bottlenecks: Detect slow components, such as long-running queries, network delays, or overloaded services, and make data-driven decisions to optimize them.

• Capacity Planning: Use metrics to analyze usage patterns, forecast demand, and optimize resource allocation, helping avoid over-provisioning or under-resourcing.

• Compare Release Impact: Measure the impact of new releases on system performance by comparing metrics before and after deployments.

Alerting and Incident Management

• Set Alerts for Key Metrics: Define thresholds and set alerts for anomalies in critical metrics, such as high error rates or slow response times, so that teams can act quickly.

• Incident Response and Remediation: Enable responders to access context-specific insights that accelerate incident response, diagnostics, and resolution times.

• Service-Level Agreement (SLA) Monitoring: Track SLA compliance metrics, such as uptime and latency, to ensure the system meets contractual obligations.

User Experience Insights

• Track User Journey Metrics: Analyze performance metrics specific to different user journeys (e.g., checkout flows) to understand the impact of backend performance on user experience.

• End-to-End Latency Perceptions: Collect latency and success metrics for critical user actions to help understand where improvements could enhance user satisfaction.

Security and Compliance Monitoring

• Detect Anomalous Behavior: Set up alerts on unusual patterns or outliers in metrics that could indicate potential security incidents.

• Audit Logging: Track API call/sensitive event logs (e.g., login attempts) to assist in compliance reporting and security auditing.

Custom Business and Operational Metrics

• Monitor Business KPIs: Track custom metrics like transaction success rates, revenue per minute, or user engagement rates to tie technical performance to business outcomes.

• Cost Optimization: Identify underused resources or inefficient services to optimize operational costs and improve infrastructure utilization.

Other Duplo-Specific Use Cases

• Request new capabilities via DuploCloud/Using the OpenTelemetry open-source API.

Additional Functions

From the Grafana console, you can perform various tasks to customize your observability experience and proactively manage system health. For additional information, see the Grafana documentation.