Creator of SwimOS, the first full stack streaming application platform. Founder and CTO of https://teapaw.org/t.co/nopYU8rhqZ.
Santa Cruz, CA
Joined July 2008
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#realtime applications are easier to build, compose, scale, and reason about when viewed through the lens of cascading state changes, rather than explicit message passing.
As streaming evolves, Web Agents can be employed to enable #realtimeanalytics. Our CTO @c9r builds a use case around retail inventory to explore the potential for any enterprise looking to save time and reduce development effort and operational costs. hubs.ly/Q01T2bKZ0
The application layer will be the next domino to fall in the transformation from #batch to #streaming. @NstreamIO is leading the charge, standing on the shoulders of @Confluent, #kafka, and #flink—but solving a rather different problem. linkedin.com/pulse/state-str…
I may have picked the worst day in 15 years to tout how bullish I am about the future. But bullish I am. And here's why: linkedin.com/pulse/why-so-ma… @NstreamIO @Swim #SwimOS #StreamingData #RealTime #Kafka
Streaming applications are the ultimate destination for #streamingdata. Transitioning from stateless to #stateful—from data-parallel to entity-parallel—makes it possible to run full-fledged applications entirely in-stream.
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TiVo is great! But TiVo also loses everything except what you choose to record. Why do we accept such high rates of data loss by always forcing #streamingdata to disk? Vastly more data can be processed in #realtime than can ever be persisted. #SwimOS
"A database is like Tivo for data!" Hilarious quote by @c9r now on-air with yours truly!
Chris Sachs retweeted
There's a whole new class of enterprise technologies debuting right now: from specialized #analytics databases, to #data-oriented middleware, to application development platforms.
insideanalysis.com/yourls/10…
#SWIM #webinar #Analytics
@TreeHiveStrat @c9r @swim
Software should be capable of working the way people do. That means in real-time, as streams of conscious state changes, with agency and autonomy of action. @swim #swimos #kafka #streamingdata #streamingapps #realtime #ux
Your data is in motion. Can your application platform keep up? @Swim #StreamingApplications flow #StreamingData through the full application stack—from #Kafka to #RealTime #UX in 1/2 RTT—executing #stateful business logic along the way. Learn more at @Confluent #Current22.
Chris Sachs retweeted
Real-time data processing - the definition of "real" just keeps on changing!
insideanalysis.com/yourls/09…
#SoftWareInMotion #SWIM #dataprocessing #analytics
@c9r @swim
Chris Sachs retweeted
Check out this episode of #SWIM to find out about newer technologies like #Kafka and #Flink, older technologies like MQ Series and related messaging systems
insideanalysis.com/yourls/08…
#SoftWareInMotion #SWIM #webinar #datastream #analytics
@c9r @swim
Running business logic at the nexus of #dataorchestration enables truly real-time intelligence, automation and observability at scale. The trick is to use a streaming application platform like @swim. Can't wait to discuss with @eric_kavanagh on #DMRadio. lnkd.in/eWdAGwrZ
Chris Sachs retweeted
@eric_kavanagh interviews @c9r of @swim, whose company is reinventing the entire #data #supplychain, opening the door to actual real-time in ways never before seen in this industry insideanalysis.com/yourls/07… #DMRadio #data #dataorchestration #webinar
#AI is the easy part. The challenge is getting "sensory" input to AI fast enough for it to influence its own feedback loops. Hence the need for a #stateful, vertically integrated #distributedsoftware platform, like #SwimOS, and a #realtime #worldwideweb, aka #WebAgents.
Why does #verticalintegration matter for #distributedapps? It takes longer to get a packet to a DB than it takes to run a self-training, self-predicting #DNN on #stateful data. #Stateless #AI is like a detached head sitting on a table. #WebAgents let AI participate in reality.
The #cloud is caught behind a #stateless energy barrier. 80% of #developer time is spent integrating infrastructure. Vertical integration lets #SwimOS developers spend 80% of their time writing useful stuff, like self-training #neuralnetworks for online #artificalintelligence.
#Verticalintegration in #distributedsoftware is key to avoiding the recurrent laryngeal nerve problem—gross inefficiencies that exist solely for conformance to vestigial interfaces. #WebStacks are notoriously bad at this. #SwimOS uses a self-contained distributed microkernel.
The reason the #cloud is stuck in near-#realtime is that they're doing it wrong. Sorry #reactive folks, but your message queues give everyone #bufferbloat. #WebAgents communicate via #web-native, cache coherent, multiplexed #streamingAPIs. Better performance. Better #scalability.
Did I mention that #stateful #WebAgents are inherently #realtime? Like, really real time. Even at massive scale. See if you can spot the latency in the #SwimOS cellular.swim.services demo; try opening up multiple browser windows and poking around. Multiplexed streaming in action
