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    Unify Your CDN Monitoring Analytics with Hydrolix

    Learn how to unify analytics across your CDN infrastructure through our newest integrations with Fastly, TenCent EdgeOne, Qwilt, and more.

    Josh Robinson

    Published:

    Aug 21, 2025

    6 minute read
    ,
    Text overlay reads "Unify your CDN Log Analytics"

Key Points

  • Unified observability: Hydrolix integrates with major CDN platforms and visualization tools to provide a single, unified analytics engine for global infrastructure observability data.
  • Sub-second query performance: Regardless of the CDN strategy, Hydrolix delivers sub-second query performance, enabling immediate answers for troubleshooting, performance optimization, and user behavior analysis.
  • Ingestion and processing at scale: Hydrolix can ingest, process, and analyze massive volumes of data from diverse sources without compromising speed or accuracy.
  • Accelerated problem resolution (“find and fix”): The combination of universal CDN integration and fast analytics dramatically reduces time to insight by enabling rapid problem identification and actionable insights.

If your infrastructure spans multiple CDN providers, each with unique strengths and characteristics, you shouldn’t be forced to maintain separate analytics stacks to make the most of that data. Instead, you can use unified log analytics from Hydrolix to understand how all your CDNs are performing while maintaining unified visibility and control.

Our latest integrations with Zuplo, Qwilt, Fastly, and Tencent EdgeOne expand unified log analytics for all your CDN assets, giving you a better understanding of how your distributed systems are performing globally. By providing consistent, fast analytics at the edge, Hydrolix enables you to make informed decisions based on comprehensive data rather than fragmented insights. Whether you’re using Fastly for performance optimization, Tencent EdgeOne for global reach, or Zuplo for API management, Hydrolix provides the unified analytics foundation that makes your entire CDN strategy more effective and manageable. This is further enhanced by our current integrations with Cloudfront, Akamai, and other CDNs. We also offer the flexibility to develop custom transforms for both proprietary and existing CDNs as required. 

Unified CDN Performance Monitoring with Hydrolix

While each content delivery network (CDN) offers unique advantages, the core challenges of performance optimization and user experience monitoring remain consistent. Hydrolix provides a unified platform to ingest, store, and analyze telemetry data from various CDNs, enabling a holistic view of your content delivery ecosystem. This approach simplifies troubleshooting, streamlines optimization efforts, and provides comprehensive insights into global performance variations, all from a single pane of glass. By centralizing CDN data, you can correlate metrics across providers, identify overarching trends, and make informed decisions to enhance content delivery efficiency and user satisfaction.

Qwilt: Deep Edge Analytics

Qwilt’s edge platform provides unparalleled granularity into content delivery at the very edge of the network. When integrated with Hydrolix, you gain the ability to analyze detailed metrics on cache hit rates, bandwidth utilization, user engagement patterns, and content popularity across globally distributed locations. This deep insight allows for precise optimization of content delivery performance and a granular understanding of user behavior.

Fastly: Real-Time CDN Optimization

Fastly’s real-time logging capabilities, combined with Hydrolix’s high-performance querying, create a powerful foundation for CDN optimization. Fastly provides detailed logs for every request, including timing, geographic data, and cache status. With Hydrolix, you can perform in-depth analysis to identify patterns, such as cache miss rate variations by content type, performance impacts of geographic distribution, and user agent interactions, enabling agile responses to performance fluctuations.

Tencent EdgeOne: Global Edge Intelligence

Tencent EdgeOne’s comprehensive edge intelligence across Asia-Pacific, Europe, and other global regions, when integrated with Hydrolix, offers a unified analytics solution for diverse global markets. EdgeOne captures crucial telemetry such as request volumes, response times, and security event details. Hydrolix allows you to analyze these region-specific patterns while maintaining a global perspective, enabling optimized content delivery strategies and targeted security responses for distinct regional and technological contexts.

Enable API Gateway Intelligence with Zuplo

Many API gateways generate vast amounts of valuable telemetry data that often remains untapped. However, Zuplo’s integration with Hydrolix transforms your API metrics into actionable insights, all without complicating your existing workflows.

Zuplo meticulously captures detailed information for every API request, including response times, error rates, authentication attempts, and rate-limiting events. This data is streamed directly into Hydrolix, enabling you to uncover patterns that are otherwise undetectable with conventional monitoring tools. You’ll be able to proactively identify subtle performance degradations before they impact users and detect security threats that might elude traditional alerting systems.

This integration utilizes Zuplo’s robust webhook capabilities to push structured data to Hydrolix in real-time, eliminating the need for complex log shipping configurations or concerns about data format inconsistencies. Zuplo automatically formats the telemetry data in a manner that allows Hydrolix to immediately index and query it, preserving the vital relationships between requests, responses, and user sessions.

This setup proves especially beneficial when troubleshooting API performance issues. Instead of laboriously correlating data from disparate tools, you can directly query Hydrolix to understand how API response times correlate with factors such as geographic regions, user types, or specific endpoints. 

The Power of Unifying Log Data at Petabyte Scale

Speed isn’t just about convenience—it’s about enabling new workflows that were previously impossible due to the massive scale that data sources like CDNs generate. Hydrolix gives you sub-second query performance at massive scale, transforming how you interact with observability data, especially when you’ve joined all your CDN data into a single table. This unified approach allows you to investigate incidents, optimize performance, and explore user behavior patterns with unprecedented speed and depth.

When you can get needle-in-a-haystack query performance from years of CDN telemetry data in under a second, you can approach problems differently. Instead of relying on pre-built dashboards or simplified metrics, you can explore your data interactively, following your curiosity and testing hypotheses in real-time across your entire CDN footprint. This exploratory approach often reveals insights that fixed dashboards miss, leading to more effective optimizations and faster problem resolution by allowing you to correlate events across different providers.

This performance at scale becomes even more critical when dealing with multiple CDN data sources, such as Fastly, Tencent EdgeOne, and Akamai. Traditional systems need to perform complex, compute-intensive joins to unify log data from multiple sources. In contrast, Hydrolix can unify data from multiple sources in a single Hydrolix table, making correlation across these sources a simple, efficient query—no joins needed. Hydrolix columnar storage and parallel processing capabilities ensure these cross-platform analyses are completed quickly, enabling comprehensive incident investigation and performance optimization across your entire delivery network.

This performance level, coupled with a unified data view, provides a foundation for new types of automation and alerting. You can run complex analytical queries as part of your monitoring workflows, detecting subtle patterns that simple threshold-based alerts miss by analyzing combined CDN data. When anomalies occur, you can automatically trigger deep-dive analyses that would take hours to complete manually, providing your team with detailed context across all your CDN providers before they even begin investigating.

Too often, issues that span multiple services go undiagnosed until they impact customers. It’s time to challenge the conventional thinking that believes you can’t monitor everything as one cohesive system. Read our latest ebook Beyond Silos: Unifying Multi-Service Monitoring in Real Time to learn about:

  • Why high cardinality data is a challenge (and what to do about it)
  • The importance of multi-CDN monitoring
  • The possibilities of correlating multiple services
  • Key ingredients of multi-service observability

Find and Fix: Accelerating Problem Resolution

The combination of a unified CDN integration creates a powerful foundation for rapid problem identification and resolution. Hydrolix’s “find and fix” capabilities leverage this foundation to dramatically reduce your mean time to resolution.

When incidents occur, you need to isolate the problem scope and identify the root cause quickly. With Hydrolix, you get an integrated approach that allows you to analyze data from all your CDN sources simultaneously, identifying whether an issue is isolated to specific regions, CDN providers, or user segments. This comprehensive view prevents the tunnel vision that often occurs when you’re limited to single-source monitoring tools.

The “find” aspect works through Hydrolix advanced querying capabilities, which can rapidly identify anomalies across massive datasets. You can run complex correlation analyses that span multiple CDN sources, identifying patterns that indicate systemic issues rather than isolated problems. With the fast query performance that Hydrolix provides, you can iterate quickly through different hypotheses, narrowing down the problem scope efficiently.

The “fix” component leverages the comprehensive data integration to provide actionable insights for resolution. Once you’ve identified the root cause, you can analyze historical data to understand similar incidents and their resolutions. This historical context helps you implement fixes that address the underlying problem rather than just the symptoms, reducing the likelihood of recurring issues.

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