Six experts from Google Cloud, NVIDIA, IO River and more share how they use CDN data for security, uptime, and AI.

CDN INSIGHTS PLAYBOOK

Introduction: Why most CDN data never becomes insight.

Teams sample, summarize, tier, and delete CDN data to control cost. Each move saves money, and each one gives up answers they'll need later. Each chapter that follows names one of those losses, and how to avoid it.

Download the playbook

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Turn CDN data into your competitive advantage

Every request that crosses your CDN leaves a record: who asked, what was served, and what failed. At internet scale, that stream of records is one of the richest sources of insight your company generates. Six leaders who have built, run, advised, and funded the teams that rely on it share what they've learned.

INSIDE THE PLAYBOOK

Where CDN insight gets lost, and how to save it

Chapter 1: Insight lost to slow queries

Don't Let Slow Queries End Investigations: When a search takes so long you could leave on vacation, analysts narrow the question or move on. A slow query doesn't just delay an investigation; it deletes it.

ANTON CHUVAKIN, GOOGLE CLOUD

Chapter 2: Insight lost to aggregation

See What Your Dashboards Leave Out:  Dashboards average CDN data into trends. When latency rises, the trend shows something is wrong, but not which provider, region, or file path caused it.

EDWARD TSINOVOI, IO RIVER

Chapter 3: Insight lost at peak traffic

Keep Visibility When Traffic Surges: If your log pipeline falls behind during a spike, you lose sight of what's happening at the moment of highest risk.

PRAMOD GOSAVI, BLUMBERG CAPITAL

WHO THIS PLAYBOOK IS FOR

Built for the teams that run on CDN data

Security, uptime, and AI advice from the people who have built, run, advised, and funded the teams turning CDN data into answers in real time.

THE PLAYBOOK

Learn from CDN leaders

CISOs, CSOs, security leads

Hunt threats across months of history and close investigations faster.

SRE, platform,  edge teams

Find root cause while the event is still happening, and put AI agents to work on incidents.

Turn real-time data into better, faster business decisions.

Executives and budget owners

WHAT YOU'LL GET

Put your data to work

Catch attackers faster

Hunt threats across months of history, not just the last few days. Anton Chuvakin and Christophe Foulon show why slow queries and cold storage quietly end investigations.

Find root cause during the incident

Dashboards show that something broke, not why. Edward Tsinovoi and Pramod Gosavi show how to get from alert to root cause, and how to keep visibility when traffic surges.

Trust AI agents with incidents

Jonathan Mercereau shows how to onboard an AI agent the way you'd onboard a new hire, so it can act on production incidents.

Stop Deciding by Estimate: When data is late, leaders guess, and a wrong estimate costs more than the delay.

GREG TAFFET, TAFFET ASSOCIATES

Chapter 6: Insight replaced by guesswork

Make Hot Data the Security Default: The restore is part of your response time, whether you count it or not.

CHRISTOPHE FOULON, QUISITIVE

Chapter 5: Insight lost to aggregation

Onboard the Agent Like You'd Onboard a Person: An Al agent with perfect access still fails if nobody taught it what the data means.

JONATHAN MERCEREAU, NVIDIA

Chapter 4: Insight lost to missing context

Conclusion: The Hot Data Maturity Test

A self-assessment to take with your team. Does your architecture hold when volume, cardinality, and retention all rise at once?