AITech Interview with Yoni Farin, CTO & Co-Founder, Coralogix
Mar 17th, 2023 at 10:06 Services California City 6 views Reference: 2777Contact us
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Yoni Farin highlights the major challenges that they help companies solve along with a sneak peek into some exciting new developments in their space.
1. Tell us your role at Coralogix. How did you come to found the company?
During my career, prior to Coralogix, I was always drawn to internal debugging and troubleshooting. I would see first hand how much time and resources would be utilized for troubleshooting issues all while customers were being affected. From there I understood something had to be done differently to increase the speed of troubleshooting, reduce the impact of issues, and increase the developers ownership.
So I came together with Ariel and Lior and we founded Coralogix we wanted to provide a different and better solution. Since then, Ive been the running CTO of Coralogix
2. Tell us more about your platform. Why is observability critical to enterprise companies?
We offer a full-stack observability platform powered by unique Streama© technology. It enables real-time insights, MLmodels, data transformation, and alerting for all observability data with no reliance on storage or indexing.
Our solution solves the challenges associated with ever-growing data volume and system complexity. Our technology breaks the unit economics of observability to provide our customers with better insights, scale, stability and cost.
3. We can all agree that data volume keeps growing. Whats the major challenge you help companies solve?
The challenge with traditional solutions is that the cost of data analysis is tied directly to data volume. So when data grows exponentially, so do costs. That leaves most companies picking which data to analyze resulting in lost visibility. Our solution uses a unique technology, called Streama to analyze data upon ingestion without relying on indexing. Companies can send us all their data, which is then analyzed in-stream for real-time insights without the limitations and cost of relying on indexing. All of the data is written to the customers archive which they can remote query directly from our platform without adding any costs. With this model, organizations are able to monitor all their data for a fraction of the cost.
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1. Tell us your role at Coralogix. How did you come to found the company?
During my career, prior to Coralogix, I was always drawn to internal debugging and troubleshooting. I would see first hand how much time and resources would be utilized for troubleshooting issues all while customers were being affected. From there I understood something had to be done differently to increase the speed of troubleshooting, reduce the impact of issues, and increase the developers ownership.
So I came together with Ariel and Lior and we founded Coralogix we wanted to provide a different and better solution. Since then, Ive been the running CTO of Coralogix
2. Tell us more about your platform. Why is observability critical to enterprise companies?
We offer a full-stack observability platform powered by unique Streama© technology. It enables real-time insights, MLmodels, data transformation, and alerting for all observability data with no reliance on storage or indexing.
Our solution solves the challenges associated with ever-growing data volume and system complexity. Our technology breaks the unit economics of observability to provide our customers with better insights, scale, stability and cost.
3. We can all agree that data volume keeps growing. Whats the major challenge you help companies solve?
The challenge with traditional solutions is that the cost of data analysis is tied directly to data volume. So when data grows exponentially, so do costs. That leaves most companies picking which data to analyze resulting in lost visibility. Our solution uses a unique technology, called Streama to analyze data upon ingestion without relying on indexing. Companies can send us all their data, which is then analyzed in-stream for real-time insights without the limitations and cost of relying on indexing. All of the data is written to the customers archive which they can remote query directly from our platform without adding any costs. With this model, organizations are able to monitor all their data for a fraction of the cost.
Visit AITechPark for cutting-edge Tech Trends around AI, ML, Cybersecurity, along with AITech News, and timely updates from industry professionals!
