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Do You Need Multi-CDN Monitoring? Here's What You Need to Consider - Part 2

Tony Falco
VP Marketing
Hydrolix

In Part 1 of this two-part series, I defined multi-CDN and explored how and why this approach is used by streaming services, e-commerce platforms, gaming companies and global enterprises for fast and reliable content delivery. Multi-CDN offers unmatched benefits when it comes to redundancy, availability, load balancing, scalability, cost management, and improved user experiences on a global scale. Now, in Part 2 of the series, I'll explore one of the biggest challenges of multi-CDN: observability.

Why Don't All Observability Platforms Monitor Multi-CDN?

If your log monitoring platform is capable of spanning multiple CDNs, you might be in good shape. Some do, but most don't. Those that do have differing levels of sophistication. Let's break down some of the details you'll want to examine.

1. Data Volume and Variety: Multi-CDN generates vast amounts of data from multiple sources. In fact, it's so much data that many multi-CDN users don't even try to analyze it because the storage costs alone can be eye watering. For observability platforms to provide the value you expect, they need to ingest, process, and store all this data in very near real time. With legacy systems, it's almost always resource-intensive and costly.

2. Real-Time Data Transformation: Effective multi-CDN monitoring requires the ability to transform and standardize data in real time, a capability that many platforms lack. Without this, data analysis becomes cumbersome and less accurate.

3. Unified View and Analysis: To effectively monitor multi-CDN performance, businesses need a unified view that combines data from all CDNs. This requires sophisticated data aggregation and query capabilities, which not all platforms can provide.

4. Considerations: As mentioned above, storing and processing multi-CDN data long-term is expensive. Many platforms limit data retention to 90 days due to cost constraints, which restricts the ability to perform historical analysis and trend forecasting. Unfortunately, historical data is where much of the value lies. The ideal log monitoring solution is one that keeps all data hot at minimal cost.

Few log monitoring platforms are capable of meeting all these standards. As a result, many companies end up throwing away their valuable log data, losing out on insights that quite literally describe the state of their business.

When Your Multi-CDN Has Access to All the Data

So, in the perfect world where all the elements above are working, what can having access to comprehensive multi-CDN log data unlock for your businesses?

First, there's real-time visibility and alerting. With data from multiple CDNs ingested into a unified view, companies can monitor performance in real time, detect issues early, and respond proactively to prevent disruptions — disruptions that frustrate customers and reduce revenue. Detailed IP address analytics can help identify and mitigate security threats, such as DDoS attacks or streaming piracy, ensuring that content remains secure and accessible.

Those are powerful advantages for running the business day-to-day, but there's arguably a bigger benefit on the long-term side. Retaining multi-CDN log data for months or years allows companies to perform the kinds of in-depth analyses that 90-day retention policies can't deliver. Uncovering longer-term trends and insights can illuminate future strategies, capacity planning, and cost management.

And of course, there's the holy grail of traffic steering and optimization. By analyzing multi-CDN data, businesses can make informed decisions on how to route traffic, avoiding congested paths and optimizing delivery based on current conditions.

Best Practices for Multi-CDN Monitoring

To effectively leverage multi-CDN, companies should adopt the following best practices:

Insist on Real-time Query-ability: This is essential because logs capture the state of live services, the interruption of which can damage a brand's revenue and reputation.

Combine Log Sources for a Unified View: Ingest data from all CDNs into a single platform to enable easy comparison and analysis. This reduces the need for complex query operations and ensures a comprehensive view of performance.

Standardize Log Data: Use real-time transformation to standardize log data across different CDNs. Consistent naming conventions make querying and analysis more straightforward and reliable.

Enrich Logs with Contextual Data: Enhance CDN logs with additional metadata to provide more context and improve diagnostic capabilities. This can include adding virtual fields, computing new metrics, or extracting specific data elements.

Keep Data Long-Term: Don't discard valuable multi-CDN data after 90 days. Retain it for longer periods to enable deeper insights, trend analysis, and better decision-making. Yes, there are monitoring solutions that enable you to keep all of your data and still pay less for storage than you paid when keeping only 90 days of data.

By following these best practices, businesses can fully capitalize on the advantages of multi-CDN, ensuring optimal performance, reliability, and security for their digital content delivery.

Admittedly, not all organizations will face the type of do-or-die moments described at the outset of this article. Nevertheless, a vast and growing number of companies across a wide variety of industries do depend on a complex, interconnected set of services, and, as the recent Microsoft/Crowdstrike fiasco demonstrated these services can be ground to a halt with a modest mistake. Clearly, log monitoring has never been more important. But log management solutions for today's businesses must take a new approach to observability — one that is real-time and can simplify the management of tremendous volumes of data streaming in from myriad sources.

Tony Falco is VP Marketing at Hydrolix

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The numbers back this urgency up. A recent Zapier survey shows that 92% of enterprises now treat AI as a top priority. Leaders want it, and teams are clamoring for it. But if you look closer at the operations of these companies, you see a different picture. The rollout is slow. The results are often delayed. There's a disconnect between what leaders want and what their technical infrastructure can handle ...

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Do You Need Multi-CDN Monitoring? Here's What You Need to Consider - Part 2

Tony Falco
VP Marketing
Hydrolix

In Part 1 of this two-part series, I defined multi-CDN and explored how and why this approach is used by streaming services, e-commerce platforms, gaming companies and global enterprises for fast and reliable content delivery. Multi-CDN offers unmatched benefits when it comes to redundancy, availability, load balancing, scalability, cost management, and improved user experiences on a global scale. Now, in Part 2 of the series, I'll explore one of the biggest challenges of multi-CDN: observability.

Why Don't All Observability Platforms Monitor Multi-CDN?

If your log monitoring platform is capable of spanning multiple CDNs, you might be in good shape. Some do, but most don't. Those that do have differing levels of sophistication. Let's break down some of the details you'll want to examine.

1. Data Volume and Variety: Multi-CDN generates vast amounts of data from multiple sources. In fact, it's so much data that many multi-CDN users don't even try to analyze it because the storage costs alone can be eye watering. For observability platforms to provide the value you expect, they need to ingest, process, and store all this data in very near real time. With legacy systems, it's almost always resource-intensive and costly.

2. Real-Time Data Transformation: Effective multi-CDN monitoring requires the ability to transform and standardize data in real time, a capability that many platforms lack. Without this, data analysis becomes cumbersome and less accurate.

3. Unified View and Analysis: To effectively monitor multi-CDN performance, businesses need a unified view that combines data from all CDNs. This requires sophisticated data aggregation and query capabilities, which not all platforms can provide.

4. Considerations: As mentioned above, storing and processing multi-CDN data long-term is expensive. Many platforms limit data retention to 90 days due to cost constraints, which restricts the ability to perform historical analysis and trend forecasting. Unfortunately, historical data is where much of the value lies. The ideal log monitoring solution is one that keeps all data hot at minimal cost.

Few log monitoring platforms are capable of meeting all these standards. As a result, many companies end up throwing away their valuable log data, losing out on insights that quite literally describe the state of their business.

When Your Multi-CDN Has Access to All the Data

So, in the perfect world where all the elements above are working, what can having access to comprehensive multi-CDN log data unlock for your businesses?

First, there's real-time visibility and alerting. With data from multiple CDNs ingested into a unified view, companies can monitor performance in real time, detect issues early, and respond proactively to prevent disruptions — disruptions that frustrate customers and reduce revenue. Detailed IP address analytics can help identify and mitigate security threats, such as DDoS attacks or streaming piracy, ensuring that content remains secure and accessible.

Those are powerful advantages for running the business day-to-day, but there's arguably a bigger benefit on the long-term side. Retaining multi-CDN log data for months or years allows companies to perform the kinds of in-depth analyses that 90-day retention policies can't deliver. Uncovering longer-term trends and insights can illuminate future strategies, capacity planning, and cost management.

And of course, there's the holy grail of traffic steering and optimization. By analyzing multi-CDN data, businesses can make informed decisions on how to route traffic, avoiding congested paths and optimizing delivery based on current conditions.

Best Practices for Multi-CDN Monitoring

To effectively leverage multi-CDN, companies should adopt the following best practices:

Insist on Real-time Query-ability: This is essential because logs capture the state of live services, the interruption of which can damage a brand's revenue and reputation.

Combine Log Sources for a Unified View: Ingest data from all CDNs into a single platform to enable easy comparison and analysis. This reduces the need for complex query operations and ensures a comprehensive view of performance.

Standardize Log Data: Use real-time transformation to standardize log data across different CDNs. Consistent naming conventions make querying and analysis more straightforward and reliable.

Enrich Logs with Contextual Data: Enhance CDN logs with additional metadata to provide more context and improve diagnostic capabilities. This can include adding virtual fields, computing new metrics, or extracting specific data elements.

Keep Data Long-Term: Don't discard valuable multi-CDN data after 90 days. Retain it for longer periods to enable deeper insights, trend analysis, and better decision-making. Yes, there are monitoring solutions that enable you to keep all of your data and still pay less for storage than you paid when keeping only 90 days of data.

By following these best practices, businesses can fully capitalize on the advantages of multi-CDN, ensuring optimal performance, reliability, and security for their digital content delivery.

Admittedly, not all organizations will face the type of do-or-die moments described at the outset of this article. Nevertheless, a vast and growing number of companies across a wide variety of industries do depend on a complex, interconnected set of services, and, as the recent Microsoft/Crowdstrike fiasco demonstrated these services can be ground to a halt with a modest mistake. Clearly, log monitoring has never been more important. But log management solutions for today's businesses must take a new approach to observability — one that is real-time and can simplify the management of tremendous volumes of data streaming in from myriad sources.

Tony Falco is VP Marketing at Hydrolix

Hot Topics

The Latest

Outages aren't new. What's new is how quickly they spread across systems, vendors, regions and customer workflows. The moment that performance degrades, expectations escalate fast. In today's always-on environment, an outage isn't just a technical event. It's a trust event ...

Most organizations approach OpenTelemetry as a collection of individual tools they need to assemble from scratch. This view misses the bigger picture. OpenTelemetry is a complete telemetry framework with composable components that address specific problems at different stages of organizational maturity. You start with what you need today and adopt additional pieces as your observability practices evolve ...

One of the earliest lessons I learned from architecting throughput-heavy services is that simplicity wins repeatedly: fewer moving parts, loosely coupled execution (fewer synchronous calls), and precise timing metering. You want data and decisions to travel the shortest possible path. The goal is to build a system where every strategy and each line of code (contention is the key metric) complements the decision trees ...

As discussions around AI "autonomous coworkers" accelerate, many industry projections assume that agents will soon operate alongside human staff in making decisions, taking actions, and managing tasks with minimal oversight. But a growing number of critics (including some of the developers building these systems) argue that the industry still has a long way to go to be able to treat AI agents like fully trusted teammates ...

Enterprise AI has entered a transformational phase where, according to Digitate's recently released survey, Agentic AI and the Future of Enterprise IT, companies are moving beyond traditional automation toward Agentic AI systems designed to reason, adapt, and collaborate alongside human teams ...

The numbers back this urgency up. A recent Zapier survey shows that 92% of enterprises now treat AI as a top priority. Leaders want it, and teams are clamoring for it. But if you look closer at the operations of these companies, you see a different picture. The rollout is slow. The results are often delayed. There's a disconnect between what leaders want and what their technical infrastructure can handle ...

Kyndryl's 2025 Readiness Report revealed that 61% of global business and technology leaders report increasing pressure from boards and regulators to prove AI's ROI. As the technology evolves and expectations continue to rise, leaders are compelled to generate and prove impact before scaling further. This will lead to a decisive turning point in 2026 ...

Cloudflare's disruption illustrates how quickly a single provider's issue cascades into widespread exposure. Many organizations don't fully realize how tightly their systems are coupled to thirdparty services, or how quickly availability and security concerns align when those services falter ... You can't avoid these dependencies, but you can understand them ...

If you work with AI, you know this story. A model performs during testing, looks great in early reviews, works perfectly in production and then slowly loses relevance after operating for a while. Everything on the surface looks perfect — pipelines are running, predictions or recommendations are error-free, data quality checks show green; yet outcomes don't meet the ground reality. This pattern often repeats across enterprise AI programs. Take for example, a mid-sized retail banking and wealth-management firm with heavy investments in AI-powered risk analytics, fraud detection and personalized credit-decisioning systems. The model worked well for a while, but transactions increased, so did false positives by 18% ...

Basic uptime is no longer the gold standard. By 2026, network monitoring must do more than report status, it must explain performance in a hybrid-first world. Networks are no longer just static support systems; they are agile, distributed architectures that sit at the very heart of the customer experience and the business outcomes ... The following five trends represent the new standard for network health, providing a blueprint for teams to move from reactive troubleshooting to a proactive, integrated future ...