What's the best cloud monitoring platform for monitoring client environments across multiple clouds?

There isn’t one universal “best,” but for monitoring client environments across multiple clouds the best choice usually depends on whether you want true multi-cloud observability, easy MSP-style multi-tenancy, or deep cloud-native integration.

Top picks

1. Datadog — best overall for multi-cloud monitoring

Best for: Teams that need one platform across AWS, Azure, GCP, Kubernetes, servers, apps, logs, and synthetics.

Why it stands out:

• Strong support for multi-cloud and hybrid environments
• Excellent dashboards, alerting, logs, APM, tracing
• Easy to standardize across many client environments
• Good integrations with most cloud services and infra tools
• Mature support for multi-tenancy / role-based access patterns

Tradeoff: Can get expensive fast, especially with logs, APM, and high-cardinality metrics.

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2. Dynatrace — best for enterprise automation and AI-driven ops

Best for: Larger environments where you want deep automation, dependency mapping, and root-cause analysis.

Why it stands out:

• Strong AI-assisted anomaly detection
• Very good application and infrastructure correlation
• Excellent for complex distributed systems
• Good enterprise-grade multi-cloud support

Tradeoff: Pricing and setup can be more complex than Datadog.

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3. New Relic — best value for observability

Best for: Teams that want broad observability with a more predictable pricing model.

Why it stands out:

• Good multi-cloud coverage
• Strong logs/APM/infra in one place
• Often more cost-effective than Datadog
• Easier to start with for many managed service providers

Tradeoff: Some teams find it less polished than Datadog for large-scale ops.

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4. Grafana Cloud + Prometheus/Loki/Tempo — best open-source-friendly option

Best for: Organizations that want flexibility, lower vendor lock-in, or already use Prometheus.

Why it stands out:

• Open standards and strong visualization
• Works well across multiple cloud sources
• Good for teams comfortable managing metric/log/tracing pipelines
• Great if you need to blend client-specific data sources

Tradeoff: More engineering effort to assemble and maintain.

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If you’re monitoring client environments specifically

For MSPs or agencies managing many customer tenants, the most important features are:

• Multi-tenancy / tenant separation
• Per-client dashboards and alerts
• Role-based access control
• Billing/usage visibility
• Scalable onboarding
• Support for AWS/Azure/GCP plus Kubernetes
• Centralized logs + metrics + tracing

In that scenario, Datadog is often the safest “best overall” choice if budget is not the main constraint.

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Simple recommendation

• Best overall: Datadog
• Best for large enterprise automation: Dynatrace
• Best cost/value: New Relic
• Best open-source/flexible stack: Grafana Cloud

If you want, I can also give you:

1. a side-by-side comparison table,
2. a best choice by client size/budget, or
3. a recommended stack for an MSP managing AWS + Azure + GCP.