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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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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

AI is the catalyst for significant investment in data teams as enterprises require higher-quality data to power their AI applications, according to the State of Analytics Engineering Report from dbt Labs ...

Misaligned architecture can lead to business consequences, with 93% of respondents reporting negative outcomes such as service disruptions, high operational costs and security challenges ...

A Gartner analyst recently suggested that GenAI tools could create 25% time savings for network operational teams. Where might these time savings come from? How are GenAI tools helping NetOps teams today, and what other tasks might they take on in the future as models continue improving? In general, these savings come from automating or streamlining manual NetOps tasks ...

IT and line-of-business teams are increasingly aligned in their efforts to close the data gap and drive greater collaboration to alleviate IT bottlenecks and offload growing demands on IT teams, according to The 2025 Automation Benchmark Report: Insights from IT Leaders on Enterprise Automation & the Future of AI-Driven Businesses from Jitterbit ...

A large majority (86%) of data management and AI decision makers cite protecting data privacy as a top concern, with 76% of respondents citing ROI on data privacy and AI initiatives across their organization, according to a new Harris Poll from Collibra ...

According to Gartner, Inc. the following six trends will shape the future of cloud over the next four years, ultimately resulting in new ways of working that are digital in nature and transformative in impact ...

2020 was the equivalent of a wedding with a top-shelf open bar. As businesses scrambled to adjust to remote work, digital transformation accelerated at breakneck speed. New software categories emerged overnight. Tech stacks ballooned with all sorts of SaaS apps solving ALL the problems — often with little oversight or long-term integration planning, and yes frequently a lot of duplicated functionality ... But now the music's faded. The lights are on. Everyone from the CIO to the CFO is checking the bill. Welcome to the Great SaaS Hangover ...

Regardless of OpenShift being a scalable and flexible software, it can be a pain to monitor since complete visibility into the underlying operations is not guaranteed ... To effectively monitor an OpenShift environment, IT administrators should focus on these five key elements and their associated metrics ...

An overwhelming majority of IT leaders (95%) believe the upcoming wave of AI-powered digital transformation is set to be the most impactful and intensive seen thus far, according to The Science of Productivity: AI, Adoption, And Employee Experience, a new report from Nexthink ...

Overall outage frequency and the general level of reported severity continue to decline, according to the Outage Analysis 2025 from Uptime Institute. However, cyber security incidents are on the rise and often have severe, lasting impacts ...