By helping organizations control and optimize their telemetry data, Chronosphere 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, co-founder and chief executive officer of Chronosphere. 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. “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.