DuploCloud's cloud observability platform gives engineering teams the full-stack telemetry (metrics, logs, traces, and continuous profiling) needed to detect issues before users do, correlate signals across distributed systems, and resolve incidents faster. Built on OpenTelemetry and Grafana, the Advanced Observability Suite (AOS) is fully self-hosted in your own cloud, priced without usage-based surprises, and works with or without a dedicated DevOps team.
Whether you're monitoring microservices in AWS, managing a hybrid cloud environment across multiple providers, or building AI-driven workflows that require real-time telemetry, DuploCloud's cloud observability platform gives you the depth, flexibility, and control that proprietary, usage-priced tools struggle to match.
Scalable OpenTelemetry Integration
Application Performance Monitoring
Real-Time Anomaly Detection & Alerts
Interactive, Customizable Dashboards
Cloud observability tools are software systems that collect, correlate, and surface telemetry data from cloud-native applications and infrastructure, so engineering teams can understand not just that something broke, but why.
Unlike basic monitoring, which alerts you after a threshold is crossed, true observability gives your team the ability to diagnose failure modes it has never seen before.
Modern observability is built on three core pillars:
Quantitative data points such as CPU usage, latency, and error rates that show how a system is performing at a given moment.
Time-stamped records of events generated by applications and services that provide context around specific behaviors.
End-to-end records of requests as they move through distributed systems, revealing bottlenecks and failure paths across microservices.
DuploCloud's Advanced Observability Suite extends this foundation with a fourth signal, continuous profiling, giving teams granular CPU and memory data to catch performance regressions before they become incidents.
Most cloud observability platforms come with a hidden cost: the more telemetry you generate, the more you pay.
Usage-based pricing can balloon quickly as data volume grows. DuploCloud takes a different approach: the Advanced Observability Suite runs fully self-hosted inside your own cloud environment, so you own your data, control your costs, and never pay per gigabyte ingested.
The suite is built entirely on CNCF-backed open standards, giving your team the flexibility to integrate, migrate, and extend your observability stack without being tied to a single vendor.
Running cloud infrastructure without proper observability is like navigating without instruments. Here's what that looks like compared to teams with a complete cloud observability tool in place.
| Without Cloud Observability | With DuploCloud |
|---|---|
| Incidents are detected by users before the engineering team | AI-driven anomaly detection surfaces issues before they affect users or SLAs |
| Metrics, logs, and traces live in separate tools, slowing incident response | Unified view of all telemetry signals in a single searchable interface |
| Observability costs scale unpredictably with data volume | Fully self-hosted in your cloud at up to 5X lower cost than usage-based platforms |
| Debugging distributed systems means switching between multiple dashboards | Correlated traces, logs, and metrics in one place for faster root cause analysis |
| No visibility into AI agent behavior or modern workload performance | Built for AI-native DevOps workflows with telemetry designed for modern infrastructure |
| Manual root cause analysis takes hours and relies on institutional knowledge | Automated root cause analysis and AI-assisted recommendations accelerate resolution |
DuploCloud's Advanced Observability Suite ships as a complete stack, not a collection of disconnected add-ons. Every component works together out of the box, so your team gets immediate coverage without spending weeks integrating separate vendors.
Fully self hosted in your cloud. No usage based pricing on data.
Correlate logs, metrics, and traces automatically to identify and resolve root causes in minutes.
Detect anomalies early and maintain peak reliability through real-time monitoring and alerts.
Managing observability across a single cloud is complex. Managing it across AWS, Azure, GCP, or a combination of on-premises and cloud environments adds an entirely different layer of challenge. Most tools either require separate deployments per provider or force teams to aggregate data into a third-party SaaS platform, adding cost and reducing control. DuploCloud's cloud observability platform is architected to handle multi-provider and hybrid environments natively.
OpenTelemetry's vendor-neutral standard works identically whether your services run on AWS, Azure, GCP, or on-premises infrastructure. DuploCloud's collector pipelines normalize telemetry data across environments so your dashboards reflect a unified view regardless of where workloads live, with no duplicate configurations and no separate monitoring stacks per provider.
Each tenant environment in DuploCloud has its own observability context. Teams see the data for their services and their services only, with no cross-tenant data leakage and no need to build custom access control layers on top of a shared Grafana instance. This makes DuploCloud particularly well suited for SaaS companies managing observability across multiple customer environments simultaneously.
DuploCloud's AI DevOps Engineers analyze telemetry from multi-cloud and hybrid deployments simultaneously, surfacing correlated signals across providers and recommending remediation steps that account for your full infrastructure topology rather than a single environment in isolation.
Monitoring tells you when something is wrong. Observability tells you why. A monitoring tool might alert you that your API response time has spiked above a defined threshold. A cloud observability platform correlates that alert with the trace showing which downstream service introduced the latency, the logs from that service at the time of the spike, and the profiling data showing whether a memory leak or CPU contention was the root cause. The combination of metrics, logs, traces, and profiles makes observability significantly more actionable than monitoring alone.
The Advanced Observability Suite (AOS) is DuploCloud's complete cloud observability platform, built on OpenTelemetry, Grafana, Loki, Tempo, Pyroscope, and OpenSearch. It provides application performance monitoring, distributed tracing, log aggregation, continuous profiling, real-time anomaly detection, and AI-assisted root cause analysis, all fully self-hosted inside your cloud environment. AOS is designed for teams that want enterprise-grade observability without vendor lock-in or usage-based pricing that scales against them.
Hybrid cloud observability refers to the ability to collect, correlate, and analyze telemetry data from workloads running across a combination of cloud providers such as AWS, Azure, and GCP, alongside on-premises infrastructure. A hybrid cloud observability platform normalizes signals from every environment into a unified view so engineering teams do not need to switch between separate dashboards or duplicate their observability setup per provider. DuploCloud uses OpenTelemetry's vendor-neutral standard to deliver this unified telemetry layer across any combination of environments.
Yes. DuploCloud uses Grafana Beyla, an eBPF-based auto-instrumentation tool, to capture key metrics and trace spans automatically for applications written in Go, Python, Java, Node.js, .NET, Ruby, Rust, and C/C++. For distributed tracing and detailed spans, DuploCloud also integrates the Kubernetes OpenTelemetry Operator, which enables auto-instrumentation based on pod annotations. Teams that prefer manual instrumentation can push custom metrics via the OTLP protocol directly to DuploCloud's collector pipeline.
Yes. DuploCloud's observability stack is built on open standards and integrates with the tools most engineering teams already use. If you're running Datadog, Prometheus, or CloudWatch alongside DuploCloud, you can continue using those for specific use cases while adopting AOS for full-stack telemetry. DuploCloud also integrates with Grafana-compatible data sources, Splunk, and custom OTLP-compatible endpoints. The platform's open API supports custom integrations for tools not covered out of the box, so adoption is incremental rather than a full replacement.
DuploCloud's AOS can be deployed alongside a new cloud environment in hours, not weeks. Auto-instrumentation via Grafana Beyla reduces time to coverage significantly because teams do not need to manually instrument each service. Full configuration, including custom dashboards, alerting rules, and AI agent integration, typically takes days rather than the months required to build equivalent observability manually. DuploCloud's onboarding team supports the setup process to accelerate time to value from day one.
Yes. Observability is one part of DuploCloud's broader Agentic DevOps Platform, which also handles infrastructure provisioning, CI/CD pipeline execution, Kubernetes deployment, just-in-time access, and continuous compliance checks (SOC 2, HIPAA, PCI-DSS, HITRUST) in a single system. Rather than stitching together separate tools for provisioning, deployment, monitoring, and compliance, teams get one platform where telemetry from AOS feeds directly into the same AI DevOps Engineers that manage the rest of the infrastructure lifecycle.
Technical Whitepaper
Achieve deep application insights without the steep costs. The Advanced Observability Suite (AOS) Add-on leverages OpenTelemetry and Grafana to provide seamless compatibility, endless integrations, and complete customizability.
Learn moreTechnical Whitepaper
Out-of-box and continuous compliance for PCI-DSS, HIPAA, HITRUST, GDPR and others.
Security white paperTechnical Whitepaper
Accelerating SOC 2 Compliance by Integrating Security into Cloud Operations.
SOC2 white paperDuploCloud's cloud observability tools give engineering teams the full-stack telemetry, AI-powered anomaly detection, and hybrid cloud visibility they need to build and operate reliable systems at scale, without vendor lock-in or unpredictable, usage-based pricing.
Join hundreds of companies already using DuploCloud to replace fragmented monitoring setups with a unified observability stack that runs inside their own cloud, integrates with their DevOps workflows, and scales without surprising the finance team at month end.
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