Skip to main content

Chronosphere Acquires Calyptia

Chronosphere has acquired Calyptia, a provider of observability pipeline solutions.

Chronosphere will integrate Calyptia’s core technology, which provides log transformation and optimization capabilities, into the company’s cloud native observability platform.

Calyptia is founded by the original creators of the Fluent Ecosystem, which includes the Cloud Native Computing Foundation (CNCF) graduated projects Fluent Bit and Fluentd. The vendor-agnostic Fluent projects are lightweight and highly scalable log processors. They allow organizations to collect telemetry from multiple sources and distribute them to any defined destination. With more than 12 billion downloads, Fluent Bit is the preferred logging processor for cloud native environments. As part of its ongoing commitment to open source, Chronosphere will continue to invest in the Fluent projects and community.

Calyptia’s observability pipeline product is built on top of Fluent Bit. The addition of this pipeline to Chronosphere’s platform enables the routing, transformation, and optimization of log data at scale. With these new capabilities, teams have a central interface to:

- Control costs at the source by not having to send the data they don’t need. Intelligent built-in filters can reduce volumes by 30% or more.

- Provide additional context by enriching data or improve security by redacting data – all in flight, before the data is stored at its destination.

- Analyze log data in real time while it’s being collected instead of waiting for it to be stored and indexed, allowing developers to quickly debug production impacting issues.

Chronosphere also recently announced its new log storage and visualization functionality, Logs powered by Crowdstrike. With both announcements, Chronosphere customers now have end-to-end logging capabilities in addition to the rest of the observability platform.

“With observability data growing by orders of magnitude, companies are ill-equipped to manage the costs and scale of this deluge, forcing their teams to make trade-offs. Teams are especially challenged to handle log data which is prohibitively expensive to move and store,” said Martin Mao, CEO and Co-Founder, Chronosphere. “With the addition of Calyptia’s leading observability pipeline solution, we’re taking an important step to ensure that developers have the ultimate control over all their observability data from end to end—including log files to control cost and improve developer productivity.”

Eduardo Silva, Founder, Calyptia, said, “We look forward to combining our solutions to make observability even more effective and more cost efficient, for any type of company and every telemetry data type. We’re excited to continue building and supporting the Fluent Ecosystem as an open source and vendor neutral solution.”

“Calyptia joining the Chronosphere team is excellent news for everyone who is invested in the future of open source cloud native technology,” said Chris Aniszczyk, CTO of the Cloud Native Computing Foundation (CNCF). “In today’s world, anyone that doesn’t adopt open source technology risks being left behind. I’m excited to see how the Fluentd and Fluent Bit projects will continue to grow and evolve as more end users embrace the capabilities of cloud native observability.”

The Latest

For fifteen years, observability lived downstream of everything else. Code shipped, something broke, an engineer went to the dashboards. The job was forensic. The pillars we built, such as logs, metrics, and traces, were designed for that role: tell a human what just happened, fast enough that they can make it stop. That role has quietly ended ...

Hybrid IT has become the standard operating model for enterprises — but that companies are still looking for the right hybrid IT mix, according to the 2026 State of the Data Center Report from CoreSite. After years of cloud migration and hybrid adoption, organizations are shifting their focus from deciding whether to use cloud, colocation or on-premises infrastructure to determining which workloads belong in each environment ...

Pilots are everywhere, stakeholders are seeking results, businesses are pushing for new tools, and IT teams are being asked to make AI secure, reliable, and useful at scale. But as organizations move from testing AI to operationalizing it, many are discovering that the biggest barrier is not the model, the use case, or even the budget. It is the file data foundation within ...

Fast or cheap? For most of my career in engineering, speed and quality sat on opposite ends of a seesaw. The "OR" in "fast or cheap" was non-negotiable. It was expected that pushing for faster releases meant that something in quality would give way. Tightening quality controls meant the schedule slipped. Every engineering leader I know has lived some version of that tradeoff ... The seesaw is starting to level out ...

I have been building enterprise software for more than 20 years ... One thing stays true across all of it: You do not find out your foundation is wrong during the crisis. You find out when the debt comes due. For a lot of organizations, that bill is arriving now. New research ... puts hard numbers on something practitioners have been sensing for a while. The telemetry problem isn't coming. It's already here ...

The rapid growth of AI workloads is pushing traditional log management approaches to their limits, according to The State of Log Management 2026 report from Dynatrace. Modern logs have become critical to understanding, validating, and securing AI-driven decisions, helping organizations ensure reliability, compliance, and performance at scale. However, the volume and complexity of AI telemetry are overwhelming legacy tools ...

For years, secure connectivity has relied on a familiar pattern: route traffic back to centralized gateways, inspect it, and then allow access. This model worked when applications lived in a handful of data centers and users were largely confined to offices. That model is now under strain. Applications are distributed across clouds, users connect from everywhere, and real-time workloads demand performance that centralized inspection points struggle to deliver. As traffic volumes grow and latency expectations shrink, routing everything through a small number of control points has become both a performance bottleneck and a resilience risk. The future of secure connectivity requires a different approach ...

The AI experimentation phase is over, and the private cloud is where enterprise AI workloads are being deployed for security and scale, according to Private Cloud Outlook 2026, a new report from Broadcom ... 2026 marks an acceleration into a full AI tipping point. The shift is being shaped by three forces — costs, complexity, and control — that public cloud environments are increasingly failing to address for production AI at scale. Key findings from the report include ...

44% of organizations have reported an outage in the past year tied to suppressed or ignored alerts, and 78% had at least one incident where no alert was fired at all ... Engineers learned about failures from customers. That gap between what our tools report and what our customers experience is the problem DevOps teams have been quietly solving with GenAI tooling, even as most enterprises continue to run their NOCs on manual alert triage ...

Cloud outages are usually described as technical failures. When a service goes down, a dependency breaks, or a region has issues, the focus immediately shifts to infrastructure. But if you look closely at how these incidents actually unfold, the root cause is rarely the technology itself. It is almost always tied to decisions made earlier, during design, implementation, or day-to-day operations. The system behaves the way it was built. The real question is how it was built ...

Chronosphere Acquires Calyptia

Chronosphere has acquired Calyptia, a provider of observability pipeline solutions.

Chronosphere will integrate Calyptia’s core technology, which provides log transformation and optimization capabilities, into the company’s cloud native observability platform.

Calyptia is founded by the original creators of the Fluent Ecosystem, which includes the Cloud Native Computing Foundation (CNCF) graduated projects Fluent Bit and Fluentd. The vendor-agnostic Fluent projects are lightweight and highly scalable log processors. They allow organizations to collect telemetry from multiple sources and distribute them to any defined destination. With more than 12 billion downloads, Fluent Bit is the preferred logging processor for cloud native environments. As part of its ongoing commitment to open source, Chronosphere will continue to invest in the Fluent projects and community.

Calyptia’s observability pipeline product is built on top of Fluent Bit. The addition of this pipeline to Chronosphere’s platform enables the routing, transformation, and optimization of log data at scale. With these new capabilities, teams have a central interface to:

- Control costs at the source by not having to send the data they don’t need. Intelligent built-in filters can reduce volumes by 30% or more.

- Provide additional context by enriching data or improve security by redacting data – all in flight, before the data is stored at its destination.

- Analyze log data in real time while it’s being collected instead of waiting for it to be stored and indexed, allowing developers to quickly debug production impacting issues.

Chronosphere also recently announced its new log storage and visualization functionality, Logs powered by Crowdstrike. With both announcements, Chronosphere customers now have end-to-end logging capabilities in addition to the rest of the observability platform.

“With observability data growing by orders of magnitude, companies are ill-equipped to manage the costs and scale of this deluge, forcing their teams to make trade-offs. Teams are especially challenged to handle log data which is prohibitively expensive to move and store,” said Martin Mao, CEO and Co-Founder, Chronosphere. “With the addition of Calyptia’s leading observability pipeline solution, we’re taking an important step to ensure that developers have the ultimate control over all their observability data from end to end—including log files to control cost and improve developer productivity.”

Eduardo Silva, Founder, Calyptia, said, “We look forward to combining our solutions to make observability even more effective and more cost efficient, for any type of company and every telemetry data type. We’re excited to continue building and supporting the Fluent Ecosystem as an open source and vendor neutral solution.”

“Calyptia joining the Chronosphere team is excellent news for everyone who is invested in the future of open source cloud native technology,” said Chris Aniszczyk, CTO of the Cloud Native Computing Foundation (CNCF). “In today’s world, anyone that doesn’t adopt open source technology risks being left behind. I’m excited to see how the Fluentd and Fluent Bit projects will continue to grow and evolve as more end users embrace the capabilities of cloud native observability.”

The Latest

For fifteen years, observability lived downstream of everything else. Code shipped, something broke, an engineer went to the dashboards. The job was forensic. The pillars we built, such as logs, metrics, and traces, were designed for that role: tell a human what just happened, fast enough that they can make it stop. That role has quietly ended ...

Hybrid IT has become the standard operating model for enterprises — but that companies are still looking for the right hybrid IT mix, according to the 2026 State of the Data Center Report from CoreSite. After years of cloud migration and hybrid adoption, organizations are shifting their focus from deciding whether to use cloud, colocation or on-premises infrastructure to determining which workloads belong in each environment ...

Pilots are everywhere, stakeholders are seeking results, businesses are pushing for new tools, and IT teams are being asked to make AI secure, reliable, and useful at scale. But as organizations move from testing AI to operationalizing it, many are discovering that the biggest barrier is not the model, the use case, or even the budget. It is the file data foundation within ...

Fast or cheap? For most of my career in engineering, speed and quality sat on opposite ends of a seesaw. The "OR" in "fast or cheap" was non-negotiable. It was expected that pushing for faster releases meant that something in quality would give way. Tightening quality controls meant the schedule slipped. Every engineering leader I know has lived some version of that tradeoff ... The seesaw is starting to level out ...

I have been building enterprise software for more than 20 years ... One thing stays true across all of it: You do not find out your foundation is wrong during the crisis. You find out when the debt comes due. For a lot of organizations, that bill is arriving now. New research ... puts hard numbers on something practitioners have been sensing for a while. The telemetry problem isn't coming. It's already here ...

The rapid growth of AI workloads is pushing traditional log management approaches to their limits, according to The State of Log Management 2026 report from Dynatrace. Modern logs have become critical to understanding, validating, and securing AI-driven decisions, helping organizations ensure reliability, compliance, and performance at scale. However, the volume and complexity of AI telemetry are overwhelming legacy tools ...

For years, secure connectivity has relied on a familiar pattern: route traffic back to centralized gateways, inspect it, and then allow access. This model worked when applications lived in a handful of data centers and users were largely confined to offices. That model is now under strain. Applications are distributed across clouds, users connect from everywhere, and real-time workloads demand performance that centralized inspection points struggle to deliver. As traffic volumes grow and latency expectations shrink, routing everything through a small number of control points has become both a performance bottleneck and a resilience risk. The future of secure connectivity requires a different approach ...

The AI experimentation phase is over, and the private cloud is where enterprise AI workloads are being deployed for security and scale, according to Private Cloud Outlook 2026, a new report from Broadcom ... 2026 marks an acceleration into a full AI tipping point. The shift is being shaped by three forces — costs, complexity, and control — that public cloud environments are increasingly failing to address for production AI at scale. Key findings from the report include ...

44% of organizations have reported an outage in the past year tied to suppressed or ignored alerts, and 78% had at least one incident where no alert was fired at all ... Engineers learned about failures from customers. That gap between what our tools report and what our customers experience is the problem DevOps teams have been quietly solving with GenAI tooling, even as most enterprises continue to run their NOCs on manual alert triage ...

Cloud outages are usually described as technical failures. When a service goes down, a dependency breaks, or a region has issues, the focus immediately shifts to infrastructure. But if you look closely at how these incidents actually unfold, the root cause is rarely the technology itself. It is almost always tied to decisions made earlier, during design, implementation, or day-to-day operations. The system behaves the way it was built. The real question is how it was built ...