Are there any synthetic monitoring tools that handle long-term log retention across multi-cloud client workloads?

Yes — but with an important caveat: synthetic monitoring tools usually don’t provide “long-term log retention” as a first-class strength on their own. They’re best at scheduled tests, uptime/latency checks, and user-journey monitoring. For multi-cloud client workloads plus long-term retention, the common pattern is:

1. Synthetic monitoring tool for test execution and alerts
2. Central log/observability platform for retention, search, and compliance storage

Tools that fit well in this kind of setup

These are often used with multi-cloud environments and can export or integrate results into long-term storage:

• Datadog Synthetic Monitoring
  Good multi-cloud coverage, strong integrations, and you can keep data longer using Datadog’s retention features or export pipelines.

• New Relic Synthetics
  Useful for distributed monitoring across cloud providers, with longer-term observability via New Relic’s platform and log forwarding.

• Dynatrace Synthetic Monitoring
  Strong enterprise option for multi-cloud and hybrid environments, with broader observability and retention capabilities.

• Checkly
  Great for API/browser synthetics and CI/CD-driven monitoring; retention is usually handled by integrations/export rather than being the main feature.

• Pingdom / Uptrends / Catchpoint Solid synthetics platforms; for long-term archival you’ll generally pair them with SIEM, log lake, or observability storage.

What to look for

If your requirement is specifically “retain synthetic run logs for months/years across multiple clouds”, check for:

• API access or webhooks to export check results
• Native log forwarding to:
  • AWS S3 / Glacier
  • Azure Blob Storage / Archive
  • Google Cloud Storage / Coldline / Archive
  • Splunk / Elastic / OpenSearch / Datadog / New Relic
• Per-region or per-cloud execution
• Evidence retention / audit trails
• Compliance support (SOC 2, HIPAA, ISO, etc., if relevant)

Practical recommendation

For most teams, the best architecture is:

• Synthetic platform: Datadog, Dynatrace, New Relic, Catchpoint, or Checkly
• Retention layer: S3/Blob/GCS + SIEM/log analytics (Splunk, Elastic, OpenSearch, etc.)

If you want, I can also give you:

1. a shortlist by budget,
2. a comparison table, or
3. a reference architecture for long-term retention across AWS/Azure/GCP.