Cloud-native observability delivers deep, real-time visibility into complex, distributed systems — accelerating the detection, root cause analysis and resolution of issues across microservices, containers and serverless environments.

By helping organizations control and optimize their telemetry data, Chronosphere Inc. makes observability scalable, actionable and cost-effective with its platform’s open-source foundation being key to empowering enterprises in today’s distributed, data-intensive environments, according to Martin Mao (pictured), co-founder and chief executive officer of Chronosphere.

Chronosphere’s Martin Mao talks with theCUBE about the effectiveness of cloud-native observability.

“We’re an observability platform focused on cloud-native environments in particular, so containerized environments there … all parts of observability, including being able to ingest and store logs, metrics, traces and all the data sources, and provide a SaaS solution on top of that,” Mao said. “The reason why we’re here is, we’re very focused on open-source standards and making sure that customers can control their own format of their data, and leveraging open-source standards as much as possible in observability.”

Mao spoke with theCUBE’s Paul Nashawaty at Open Source Summit North America, during an exclusive broadcast on theCUBE, SiliconANGLE Media’s livestreaming studio. They discussed how Chronosphere is redefining observability for today’s containerized world. (* Disclosure below.)

How Chronosphere Logs 2.0 enable cloud-native observability

Chronosphere Logs 2.0 represents a major leap in unified observability by tightly integrating log management with metrics and traces in one cohesive platform. Designed for cloud-native observability, this upgraded solution helps engineering teams shift from reactive troubleshooting to proactive, data-driven performance management, according to Mao.

“We are launching what we call Logs 2.0, Chronosphere Logs,” he said. “It’s a brand new launch of a brand new product for us. It is end-to-end log management capability, you can imagine our ability to ingest and store logs natively into the product, and use logs along with the other data sources like metrics and traces. On top of that, we’re also providing a set of capabilities to control log data and log data growth, and that is fairly unique in the market. I would say, manage the data volume growth in logs, as well as cost, while also having a great performance and experience at the same time.”

Ballooning telemetry data is a top inhibitor of observability effectiveness because it overwhelms systems and teams with excessive, often low-value data, making it harder to extract meaningful insights in real time. Chronosphere tackles this by offering data control, cost optimization and intelligent signal prioritization — purpose-built for the demands of cloud-native environments, according to Mao. 

“The secret in the industry is that you can imagine all of the existing solutions are really motivated for people to produce as much data as possible, because the more data you produce, the more data you need to store, which is a 250% year-on-year increase in data volumes,” he said. “For Chronosphere, what we’re doing differently with logs is, we actually provide that ability to show you what data is useful, what data is useless, and then help you optimize the data so that you only keep and pay for the valuable data. That is our way of curbing this data volume growth problem.”

Here’s the complete video interview, part of SiliconANGLE’s and theCUBE’s coverage of Open Source Summit: 

(* Disclosure: Chronosphere Inc. sponsored this segment of theCUBE. Neither Chronosphere nor other sponsors have editorial control over content on theCUBE or SiliconANGLE.)

Photo: SiliconANGLE