Monitoring Through Disaster: Why Multi-Region Hosting Matters

When Amazon Web Services (AWS) suffered a major outage on October 20, much of the internet went dark  — and so did many of the world’s most critical data systems. Platforms like Snowflake and Databricks experienced widespread disruptions that left data teams without access to key infrastructure. It was a stark reminder that when the cloud goes down, data does too.   

For data teams, the message was clear: cloud reliability isn’t guaranteed, and disaster recovery (DR) is no longer optional. In the hours following the outage, many organizations with mission-critical data operations scrambled to fail over to secondary instances in Snowflake and other systems. But even as they restored core compute environments, one critical question remained — did their other data systems move with them? If data pipelines stopped running or observability went offline, they were left flying blind. In moments like these, knowing whether your most important data assets are flowing as expected can make the difference between quick recovery and prolonged disruption.    

At Monte Carlo, we’ve built our platform with these realities in mind. Our multi-instance architecture, multi-region failover support, and EU hosting capabilities give customers the flexibility and resilience they need to stay confident in their data, even during large-scale outages.

Resilience by design: Monte Carlo’s hosting architecture

Disaster recovery has long been a best practice in the broader software world, but now data systems themselves have become mission-critical. Tools like Snowflake have been pushing DR strategies for years, and for good reason. Data isn’t just used for quarterly reporting anymore; it powers real-time operations. Today, if a pipeline goes down for six hours, it’s not just a nuisance you can backfill later — it can halt logistics, ground airplanes, or interrupt customer transactions.    

To meet these challenges, Monte Carlo expanded its platform to support multiple hosting options, giving customers more control over how and where they run Monte Carlo.

Our architecture supports two primary models:

• Regional Hosting – Shared environments serving multiple customers within a specific geographic region.
• Dedicated Instances – Isolated environments built for a single customer, which can also be configured for multi-region failover.

All Monte Carlo environments are highly available, leveraging AWS multi-availability zones. With multi-region failover enabled, Dedicated Instances can switch to a secondary region during a major or prolonged outage. This capability is especially critical for global financial institutions and enterprises that depend on continuous visibility into their data pipelines.

One global financial services customer has taken this approach even further. Their teams regularly simulate disaster recovery scenarios, requiring all critical systems — including data observability — to cut over seamlessly. For them, DR isn’t a document on a shelf; it’s a practice. That mindset inspired our own approach: building DR into the foundation of Monte Carlo’s architecture so customers can prove resilience, not just plan for it.

   “When your data is mission-critical, your alerting is mission-critical,” said Lior Gavish, Monte Carlo’s CTO and Co-founder. “Organizations need a partner that’s enterprise-ready and can operate across regions to keep those systems online, no matter what happens in the cloud.”

Supporting Global Compliance and Data Residency: Monte Carlo’s EU Hosting

Monte Carlo also supports an EU hosting option, which allows customers to host their observability data entirely within the European Union, meeting GDPR and other local data residency requirements without sacrificing reliability or performance.

As our European customer base continues to expand, supporting compliance and regional data privacy regulations has become increasingly important. Enterprises like British Airways, VMO2, BBC, JLR, Mercedes, Toyota, and Roche — along with financial leaders such as T. Rowe Price, M&T Bank, Old Mutual, and S&P Global — depend on Monte Carlo to help them maintain trusted, compliant data operations across borders.

With EU hosting, customers can strengthen both resilience and regulatory alignment, knowing their observability data remains secure, compliant, and regionally contained.

Data + AI Observability for a Resilient Future

The AWS outage was a reminder that even the most advanced cloud infrastructures can fail — and when they do, data teams feel the impact. Pipeline delays, broken dashboards, and lost visibility can quickly translate into missed opportunities and diminished trust.

Monte Carlo helps organizations stay ahead of that risk. With regional hosting, dedicated instances, and multi-region failover, we give customers control over their reliability and compliance.To learn how Monte Carlo can help your organization build resilience across your data and AI ecosystem, request a demo.

Our promise: we will show you the product.