One of the strongest points in this interview: a blanket bot-blocking strategy can create bigger business problems than the traffic it was meant to stop. Tom Howe explains how overblocking can cut off beneficial crawlers, distort data, and even hurt discoverability and revenue over time. Read the article: https://hubs.la/Q049dFvF0 #Hydrolix #BotDetection #Ecommerce #SEO #DataStrategy #AI #OnlineRetail #Observability
Hydrolix
Software Development
Portland, Oregon 25,527 followers
Transforming the economics of log data a trillion rows at a time.
About us
Transforming the Economics of Log Data Hydrolix is a streaming data lake optimized for log-intensive use cases that offers both real-time and historical analytics at scale. By combining the data structure and query performance of a data warehouse with the flexibility and cost benefits of a data lake, Hydrolix allows you to keep and analyze all your data without compromising your budget. Hydrolix takes care of streaming ingest, data transformation, and compression, maximizing the value of your data while making more log data use cases economically viable.
- Website
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http://www.hydrolix.io
External link for Hydrolix
- Industry
- Software Development
- Company size
- 201-500 employees
- Headquarters
- Portland, Oregon
- Type
- Privately Held
- Founded
- 2018
Locations
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Primary
Get directions
1120 SE Madison St
Portland, Oregon 97214, US
Employees at Hydrolix
Updates
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One of the most important takeaways in this article: performance visibility gets harder when data arrives from multiple systems with different formats, timing, and structures. The challenge is not simply volume. It is getting one clear operational view quickly enough to act. That is what makes normalized, real-time data so valuable for streaming and digital experience teams. Read the article: https://hubs.la/Q049cPf10 #Hydrolix #Observability #StreamingVideo #DataPlatforms #PerformanceMonitoring #MediaOperations
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Logging is often treated like a background function until something goes wrong. This piece makes the case that effective logging and alerting are not just technical hygiene. They are central to seeing risk sooner and responding faster. Read the article: https://hubs.la/Q0498z9Y0 #Hydrolix #SecurityLogging #Cybersecurity #OWASPTop10 #ThreatDetection #AppSec
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Hydrolix has been named #4 on Inc.'s 2026 Regionals: Pacific list of fastest-growing private companies. That recognition reflects more than growth for growth's sake. It reflects a market need: teams need a way to ingest, store, and analyze massive volumes of operational and security data without sacrificing speed or blowing up cost. Hydrolix grew from four to 650+ customers globally in 24 months by helping solve exactly that problem. Read more: https://hubs.la/Q04902wD0 #Hydrolix #IncRegionals #Observability #Cybersecurity #DataPlatform #DataEngineering #Growth
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New on Hackread: Tom Howe, Director of Insights Engineering at Hydrolix, breaks down a timely question for ecommerce and digital teams: not all bots are the same, and treating them that way can create real business risk. This interview gets into the difference between good, bad, and malicious bots - and why the smarter path is understanding behavior before reacting. Read the article: https://hubs.la/Q048HNWP0 #Hydrolix #AIBots #BotManagement #eCommerce #DigitalOperations #AI
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During live streaming events, every second matters when it comes to diagnosing issues. You don't have enough time to be look in the wrong place. Playback observability tells you when and how viewers are impacted. CDN observability tells you where in the delivery infrastructure the issue originated. You need both to find the root cause. Franz Knupfer writes about the challenges of CDN observability in a guest post for the Bitmovin blog. By combining Bitmovin Observability with Hydrolix CDN Insights, you can get complete visibility from origin to screen and solve issues faster when every second counts. Read the blog: https://hubs.la/Q048p3xh0
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A strong new read from Mirror Review looks at what happens behind the scenes when streaming platforms operate at global scale. The piece features Sean McCarthy, Head of OTT Live Engineering at YouTube, and Tony Falco, COO of Hydrolix, on the data bottlenecks that make modern observability harder than it should be. From fragmented visibility to retention economics, it is a useful look at why real-time insight matters when milliseconds count. Read the article: https://hubs.la/Q048wFgJ0 #Hydrolix #Streaming #Observability #DataEngineering #CDN #MediaTech #RealTimeAnalytics
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Streaming media issues can show up as buffering spikes, bitrate instability, and viewer drop-off, but finding the root cause is often extremely difficult. You need comprehensive visibility from the origin server to the edge along with video player analytics to debug issues, ideally in a single unified view. Our latest blog, a guest post from Jacob Arends and Adam Massaro at Bitmovin, describes the challenges of fragmented visibility and how you can combine Bitmovin Observability and CDN Insights from Hydrolix to give you full-stack visibility from origin to screen. With MCP support on both sides, teams can also query across the full delivery chain in natural language and act before viewers notice. Read the full post: https://hubs.ly/Q048nJlH0
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Better outcomes come from working alongside the tools teams already know, like Splunk, Datadog, and Grafana. Take it from Hydrolix CMO, Michael Cucchi. Learn more: https://hubs.la/Q048v35T0 #Hydrolix #Observability #Splunk #Datadog #Grafana #DataEngineering #Telemetry
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Super Bowl LIX: Scale, Strategy, and Kendrick Lamar Two teams with massive fan bases and the biggest game of the year. The stakes? High. The infrastructure requirements? Even higher. How do you maintain flawless multi-region observability when the world is watching? Listen as Catherine Johnson as she breaks down how Hydrolix powered real-time insights for one of the most-watched sporting events in history. Check out the full story here: https://hubs.la/Q0489NNW0 #SuperBowl #Observability #CloudInfrastructure #Hydrolix #TechLeadership