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When Every Millisecond Matters: Observability at Massive Scale with Todd Persen
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A 10 minute delay between an incident and the data that explains it is not a tooling problem, it is a business problem. We sit down with Todd Pearson, CTO and co-founder of Hydrolix, to unpack why milliseconds now determine whether you stop fraud, keep a streaming event online, or lose a customer before your team even sees the alert.
We talk about the real mechanics of modern observability across distributed systems: where latency hides in the pipeline, how it inflates MTTR, and why “monitoring everything” collapses when log volume reaches petabyte scale. Todd shares what he learned building time series infrastructure at InfluxData and why general purpose stores can become painfully expensive for logs, metrics, traces, and high cardinality fields like user IDs. If your observability budget is growing faster than your infrastructure budget, you will recognize the pattern immediately.
From there we go forward into 2026 trends: edge computing and CDN telemetry, bots that look human thanks to agentic AI, and the shift from human dashboards to agents that query data directly. We explore what “headless” observability could look like, why query performance becomes the limiting factor for AI SRE, and how predictive approaches may finally start to shorten time to remediation toward zero. If reliability is your moat in a world where code gets cheaper, this is the playbook.
Subscribe for more conversations on digital transformation, share this with your SRE or platform team, and leave a review with the biggest observability challenge you are facing right now.
Download (PDF Ebook) "The Evolution Of Digital Transformation By Jim Kunkle" Here: https://drive.google.com/file/d/1z1NjoP7SMs3w7hwXVHT6mVc3--RNrD_1/view?usp=share_link
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If you found value from listening to this audio release, please add a rating and a review comment. Ratings and review comments on all podcasting platforms helps me improve the quality and value of the content coming from Digital Revolution.
I greatly appreciate your support and Viva la Revolution!
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By Jim KunkleSend us Fan Mail
A 10 minute delay between an incident and the data that explains it is not a tooling problem, it is a business problem. We sit down with Todd Pearson, CTO and co-founder of Hydrolix, to unpack why milliseconds now determine whether you stop fraud, keep a streaming event online, or lose a customer before your team even sees the alert.
We talk about the real mechanics of modern observability across distributed systems: where latency hides in the pipeline, how it inflates MTTR, and why “monitoring everything” collapses when log volume reaches petabyte scale. Todd shares what he learned building time series infrastructure at InfluxData and why general purpose stores can become painfully expensive for logs, metrics, traces, and high cardinality fields like user IDs. If your observability budget is growing faster than your infrastructure budget, you will recognize the pattern immediately.
From there we go forward into 2026 trends: edge computing and CDN telemetry, bots that look human thanks to agentic AI, and the shift from human dashboards to agents that query data directly. We explore what “headless” observability could look like, why query performance becomes the limiting factor for AI SRE, and how predictive approaches may finally start to shorten time to remediation toward zero. If reliability is your moat in a world where code gets cheaper, this is the playbook.
Subscribe for more conversations on digital transformation, share this with your SRE or platform team, and leave a review with the biggest observability challenge you are facing right now.
Download (PDF Ebook) "The Evolution Of Digital Transformation By Jim Kunkle" Here: https://drive.google.com/file/d/1z1NjoP7SMs3w7hwXVHT6mVc3--RNrD_1/view?usp=share_link
Referral Links
StreamYard: https://streamyard.com/pal/c/5142511674195968
Contact Digital Revolution
- Email: [email protected]
Follow Digital Revolution On:
- YouTube @ www.YouTube.com/@Digital_Revolution
- Instagram @ https://www.instagram.com/digitalrevolutionwithjimkunkle/
- LinkedIn @ https://www.linkedin.com/groups/14354158/
If you found value from listening to this audio release, please add a rating and a review comment. Ratings and review comments on all podcasting platforms helps me improve the quality and value of the content coming from Digital Revolution.
I greatly appreciate your support and Viva la Revolution!