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Hydrolix and Mux Partner to Deliver Real-Time Observability from Origin to Edge for Live Event, Video Streaming

Poor video performance, outages and pirated streams can cause significant issues for streaming — and these issues can be catastrophic for live events where demand is high and viewers don't want to miss a single second. To help streaming companies immediately see and respond to these issues, Hydrolix, the streaming data lake company disrupting the economics of big data, has teamed with Mux, the company behind the leading video streaming and monitoring platform for developers, to extend infrastructure observability to every screen.

Now, through the partnership with Hydrolix, publishers can use Mux Data along with all the other observability data they need to maximize infrastructure performance, from content creation to delivery...every bit of data can be kept and queried for rapid response and deep insights.

The Hydrolix platform ingests, stores and queries terabytes of log data while providing cost-effective, long-term storage, and sub-second query latency on all of the data — whether it's a minute or a year old. This makes Hydrolix an ideal fit for origin-to-edge observability and content delivery network (CDN) monitoring, which typically generate large volumes of data.

Mux Data provides comprehensive metrics for a deep understanding of video quality of experience across applications available on all device platforms. With Mux, streaming companies can quickly detect and fix potential quality of experience issues like playback failures, long video startup time, rebuffering latency and video quality.

Combined, Hydrolix retains and analyzes data from Mux along with origin and edge services log data and presents critical insights in one dashboard so that on-demand streamers can immediately spot quality of experience issues throughout their content's digital journey.

The Mux integration is compatible with Cascade, Hydrolix's managed observability service for AWS; TrafficPeak, an Akamai Cloud observability solution powered by Hydrolix; and other solutions powered by the Hydrolix streaming data lake.

Combined, Hydrolix and Mux provide unique benefits that other platforms can't provide, including:

- Next-level CDN monitoring — now with video analytics included

- Real-time origin-to-edge observability including for major events generating millions of log lines per second

- Long-term historical analytics for a deep understanding of user engagement and trends over time

"Hydrolix has solved the problem of how to store and query all of your observability data in real time, at scale, and without breaking the bank," said Marty Kagan, co-founder and CEO of Hydrolix. "Mux has solved the problem of how to get comprehensive visibility into video players to see how users are engaging with their content. When you put these two incredible technologies together, you get something event and video streamers have never had before: affordable, real-time observability at scale from origin to edge in one dashboard."

"Mux is committed to helping publishers deliver content better by deeply understanding the viewer experience, and that's why our platform is the trusted infrastructure for the world's largest streaming events," said Jon Dahl, co-founder and CEO of Mux. "Now, through our partnership with Hydrolix, publishers can use Mux Data along with all the other observability data they need to maximize infrastructure performance, from content creation to delivery. Everything is in one place, and every bit of data can be kept and queried for rapid response and deep insights."

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Hydrolix and Mux Partner to Deliver Real-Time Observability from Origin to Edge for Live Event, Video Streaming

Poor video performance, outages and pirated streams can cause significant issues for streaming — and these issues can be catastrophic for live events where demand is high and viewers don't want to miss a single second. To help streaming companies immediately see and respond to these issues, Hydrolix, the streaming data lake company disrupting the economics of big data, has teamed with Mux, the company behind the leading video streaming and monitoring platform for developers, to extend infrastructure observability to every screen.

Now, through the partnership with Hydrolix, publishers can use Mux Data along with all the other observability data they need to maximize infrastructure performance, from content creation to delivery...every bit of data can be kept and queried for rapid response and deep insights.

The Hydrolix platform ingests, stores and queries terabytes of log data while providing cost-effective, long-term storage, and sub-second query latency on all of the data — whether it's a minute or a year old. This makes Hydrolix an ideal fit for origin-to-edge observability and content delivery network (CDN) monitoring, which typically generate large volumes of data.

Mux Data provides comprehensive metrics for a deep understanding of video quality of experience across applications available on all device platforms. With Mux, streaming companies can quickly detect and fix potential quality of experience issues like playback failures, long video startup time, rebuffering latency and video quality.

Combined, Hydrolix retains and analyzes data from Mux along with origin and edge services log data and presents critical insights in one dashboard so that on-demand streamers can immediately spot quality of experience issues throughout their content's digital journey.

The Mux integration is compatible with Cascade, Hydrolix's managed observability service for AWS; TrafficPeak, an Akamai Cloud observability solution powered by Hydrolix; and other solutions powered by the Hydrolix streaming data lake.

Combined, Hydrolix and Mux provide unique benefits that other platforms can't provide, including:

- Next-level CDN monitoring — now with video analytics included

- Real-time origin-to-edge observability including for major events generating millions of log lines per second

- Long-term historical analytics for a deep understanding of user engagement and trends over time

"Hydrolix has solved the problem of how to store and query all of your observability data in real time, at scale, and without breaking the bank," said Marty Kagan, co-founder and CEO of Hydrolix. "Mux has solved the problem of how to get comprehensive visibility into video players to see how users are engaging with their content. When you put these two incredible technologies together, you get something event and video streamers have never had before: affordable, real-time observability at scale from origin to edge in one dashboard."

"Mux is committed to helping publishers deliver content better by deeply understanding the viewer experience, and that's why our platform is the trusted infrastructure for the world's largest streaming events," said Jon Dahl, co-founder and CEO of Mux. "Now, through our partnership with Hydrolix, publishers can use Mux Data along with all the other observability data they need to maximize infrastructure performance, from content creation to delivery. Everything is in one place, and every bit of data can be kept and queried for rapid response and deep insights."

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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 ...

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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 ...