As those working to support cloud-native environments can attest, microservices move fast, but issues and substantial failures can happen even faster. To keep pace, OpenTelemetry (OTel) is becoming an industry standard for gathering metrics, traces, and logs. Still, collecting raw telemetry data is only half the battle. Teams can multiply the value of OTel data by correlating it with other IT operations data so that subsequent analytics include important context and teams (or automated workflows) can take precise actions for remediation.
This is where DX Operational Observability (DX O2) by Broadcom stands out. The solution is built on the flexibility of open-source data and adds enterprise-grade AIOps capabilities. DX O2 seamlessly ingests OTel data, adds complementary data from other Broadcom or third party tools, and then supercharges the data with advanced analytics and remediation options.
Here is a look at why DX O2 stands out from the crowd and the additional value it unlocks for modern enterprise operations.
1. Onboarding in Minutes, Not Days
The greatest barrier to adopting new observability technologies often involves deployment headaches. DX O2 overcomes this by offering native support for the OpenTelemetry Protocol (OTLP) format. If you already use an OpenTelemetry Collector, routing data to DX O2 is incredibly straightforward.
With a simple tweak to your collector configuration file, you can add the standard otlphttp exporter and your DX O2 API token:
YAML
exporters:
otlphttp:
endpoint: https://otel-gateway.dxi-na1.saas.broadcom.com
headers:
Authorization: "Bearer <DX O2 Agent Token>"
By connecting the OpenTelemetry community's standard reference implementations (telemetry ingestion using the OTel Demo Application from OpenTelemetry) straight to the DX O2 backend, teams can go from zero to real-time visibility on Kubernetes environments in minutes, not hours.
2. A Single Pane of Glass: The Power of Correlated Data
Relying primarily on open-source tools can result in fragmented views and incomplete understanding of issues. For example, engineers are likely to find themselves bouncing between Prometheus for metrics, Jaeger for traces, and separate systems for logs for deeper-dive diagnostics. They then must interpret what they learn from these disparate data sources, generate the ticket and engage the right team(s) with actionable details to begin remediation.
DX O2 eliminates this friction by normalizing and correlating OTel metrics and traces right alongside your existing monitoring data captured by Broadcom solutions, and open source or third party utilities. This full-stack integration delivers deep, context-rich understanding across domains. With unified insights, container health, network issues, and microservice trace anomalies are all visible on a single pane of glass. This closes observability gaps and reduces ambiguity so teams can triage more accurately and remediate issues faster.
3. Triaging Inspector: Root-Cause Analysis Redefined
When an outage occurs, finding the needle in the haystack can be exhausting especially when staff have different levels of skill or may be less experienced. DX O2 reduces this burden on teams through Triaging Inspector which is an intuitive command center with AI capabilities built into the Services Overview Dashboard.
Triaging Inspector synthesizes complex data into four synchronized pillars so users do not need to open and interpret countless browser tabs.Triage Inspector aggregates and interprets this data and presents it in natural language text to summarize issues, list dependencies, prioritize likely causes and present options for remediation.
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Topology: Visualizes complex service dependencies, mapping parents and children across microservices.
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Transaction Traces: Tracks distributed transactions and allows engineers to drill down into suspicious spans instantly.
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Alarms: Flags anomalous metric spikes, categorizing caution and danger signals.
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Metrics: Analyzes system health indicators in real-time.
By putting the context, topology, and anomalies side-by-side, DX O2 eliminates finger-pointing and dramatically reduces Mean Time to Resolution (MTTR).
4. Richer Context via Persisted Metric Attributes
When OTel data hits the DX O2 backend, the native data point attributes are preserved. The persistence of this metadata provides immense flexibility. Engineers can easily filter, segment, and customize dashboards using granular data like HTTP status codes (e.g., isolating a specific 429 Too Many Requests error) or runtime metadata.
Even when modern architecture transformations restructure hierarchical metric paths, DX O2 retains the original identity under the org_metric_name attribute, ensuring your custom analytics and historical dashboards remain completely unbroken.
The Bottom Line: Future-Proofing Your Monitoring Stack
DX Operational Observability provides substantial complementary value to OpenTelemetry monitoring data.
By pairing the standardized telemetry collection of OTel with DX O2 capabilities for advanced visualization, topology mapping, and automated anomaly detection, your operations team gains enormous benefits. Teams reduce effort and improve results by using a full stack observability solution that is future-ready, scalable, and highly automated architecture that turns raw data streams into actionable, business-saving insights.