Cluster-by-cluster manual setup drifts — automation keeps ingest configs consistent.
Splunk Observability Cloud
Integrate Splunk Observability Cloud into your Kubernetes and cloud pipelines
Collector sprawl and manual installs do not scale. Teams need repeatable deployment — operators, Helm charts, CI/CD hooks — that platform engineering can own after a scoped integration wave.
Kubernetes-ready CI/CD hooks Collector patterns Platform handover
Why this matters
Why this matters
Without reliable integration, APM and infrastructure signals stay partial and incidents still depend on tribal knowledge.
Cloud vendor differences (AWS, Azure, GCP) need explicit scope — not assumed generic modules.
Integration must respect what stays on Splunk Platform for log search versus Observability Cloud signals.
What you get
Clear outputs you can use
Scoped Observability Cloud integration for agreed environments: collectors and operators, Kubernetes and cloud patterns, CI/CD deployment hooks, and handover runbooks for platform owners.
- ✓ Deployed integration patterns per SOW (clusters, accounts, or pipelines as agreed)
- ✓ Infrastructure-as-code or pipeline artefacts your platform team can extend
- ✓ Runbooks for upgrades, secrets, and troubleshooting collector health
Why teams talk to GKC
Calm, practical, and grounded in the environment you already have
SOW lists environments and integration points — expansions are change-controlled
Pairs with architecture design when tenancy was not documented first
Stays out of ES content — integration is telemetry path, not detections
What happens next
A straightforward first step
We keep the first step straightforward so you can understand fit, scope, and likely value before deciding what to do next.
1
Agree environments and patterns
We confirm Kubernetes clusters, cloud accounts, CI/CD systems, and collector approach in scope.
2
Implement and automate
Collectors, operators, and deployment pipelines are built with validation in representative environments.
3
Hand over to platform owners
You receive documentation, monitoring checks, and backlog for APM rollout or further cluster waves.
Questions teams often have
Common questions
Our managed Kubernetes vendor provides observability. Do we need this?
We integrate Observability Cloud where you have chosen Splunk as the observability fabric — alongside or instead of bundled vendor agents, as scoped.
Does this migrate logs off Platform?
Log retention on Platform is a separate decision. We document metrics and trace paths in Observability Cloud without forcing log migration in scope.
Can you own production on-call for collectors?
This engagement delivers integration and handover. Managed BAU support is out of phase-1 scope unless separately agreed.
Related services
If this is close, these may be relevant too
Splunk Observability Cloud
Observability Cloud Architecture & Tenancy Design
Scoped architecture and tenancy design for Splunk Observability Cloud: org and environment model, access patterns, expected data volumes, and coexistence with Splunk Platform logging — with handoffs to integration and APM delivery.
Splunk Observability Cloud
APM & Distributed Tracing Implementation
Bounded APM and distributed tracing implementation in Splunk Observability Cloud: instrumentation for agreed services, trace sampling strategy, service map validation, and SRE handover.
Splunk Platform
Platform Health Check & Architecture Review
A bounded Platform health check: cluster topology, search and scheduler load, knowledge object hygiene, and prioritised recommendations ordered by risk and effort.
Operational Risk and Control
Environment Review
The Environment Review gives you a practical view of how the current environment is structured, where key risks or knowledge gaps sit, and what needs attention first.
Next step
Start with a practical conversation
We can talk through the environment, what is making this feel urgent or uncertain, and whether this service is the right fit. If another starting point makes more sense, we will say so.