Observability & Monitoring

Choose by defining the services, telemetry types, user journeys, infrastructure domains, retention, integrations, automation, and troubleshooting outcomes the platform must support.

Start with the questions your operators cannot answer quickly, then map the required metrics, events, logs, traces, flow, synthetic tests and endpoint data. Use the platform comparison to match telemetry scope, service visibility, deployment model, and operational outcomes.

Cisco, HPE, and Juniper focus on different observability layers, from digital experience and applications to hybrid infrastructure and AI-native network assurance.

Cisco ThousandEyes and AppDynamics focus on digital experience and application visibility, HPE OpsRamp covers broader hybrid infrastructure observability, and Juniper Mist and Marvis centre on network experience and assurance. Use the vendor comparison to compare Cisco, HPE, and Juniper by telemetry layer, service context, and environment coverage.

It connects service impact to infrastructure and application signals, helping teams prioritise incidents, isolate causes, validate fixes, and identify recurring failure patterns.

Observability adds service and topology context, so teams can see which users or transactions are affected rather than only which component is unhealthy. With meaningful thresholds and agreed service models, it reduces duplicate tickets and helps confirm whether a fix restored usable service.

Review the toolset when alert noise, telemetry gaps, duplicated collectors, poor service context, rising data costs, or slow cross-team diagnosis are persistent problems.

Consolidation helps when overlapping tools create inconsistent health states and separate incident queues, while replacement may be needed if current platforms cannot monitor cloud-native services, remote users or third-party networks properly. Keep specialist tools where they still provide necessary depth, but measure improvement through lower alert volume and faster restoration.

Yes, hybrid observability is achievable when telemetry ownership, collectors, data models, integrations, retention, and service dependencies are mapped across each environment.

Mixed estates often combine vendor-native telemetry, cloud APIs, open standards and agent-based monitoring, so the design must define what stays local, what is centralised, and how service context is added. For monitoring consolidation, hybrid observability, or service-assurance design, speak to our observability experts before selecting the platform mix.

Specify telemetry sources, ingest rate, cardinality, retention, query performance, agent coverage, service mapping, APIs, security controls, resilience, and data residency.

Estimate realistic volumes for metrics, logs, traces, flow records, synthetic tests and endpoint events, then check pricing, retention tiers and query performance against growth. Also confirm integration depth, OpenTelemetry support, regional storage, access controls and whether monitoring can continue during a cloud or WAN interruption.