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Apica Acquires Circonus

Apica has acquired Circonus.

Apica also announced a new funding round led by Riverside Acceleration Capital (RAC), with additional funding from existing investors Industrifonden, SEB Foundation, Oxx, and Leo Capital. With this latest acquisition and new financing, Apica will continue providing a modern approach to observability data management for enterprise organizations.

With Circonus, Apica will proceed with helping customers realize the full potential of their data to drive better business decisions.

“This acquisition further solidifies our position as a trailblazer in data management and observability, and we are excited to welcome Circonus aboard,” said Mathias Thomsen, CEO, Apica. “Its solutions are well aligned with our roadmap, and we will be able to provide our customers with a unified view of their entire technology stack. In addition, I’m happy that Riverside Acceleration Capital has invested in our active observability vision and looking forward to partnering with them as they join our influential group of investors.”

An observability data provider, Circonus specializes in monitoring and analytics solutions specifically designed for organizations with large amounts of telemetry data. Apica will integrate Circonus’ IRONdb and Passport products into the Ascent Platform.

IRONdb provides a high cardinality time series database for more than 1 billion unique time series metric streams. It addresses the key challenges data management teams encounter with typical time series databases. Passport allows data teams to gain control over telemetry agents while managing varieties of high-volume telemetry data. The result is fleet management of all data collectors, centralized visibility into the inventory agents, and centralized management of telemetry elasticity at the edge.

“With the rate at which data continues to multiply, customers are increasingly in need of affordable solutions that eliminate data silos, reduce tool sprawl, and provide a holistic picture of the inner workings of their operational data. We are excited to deliver edge data control,” said Ranjan Parthasarathy, chief product and technology officer, Apica. “As an active observability platform, we can quickly respond to many enterprise organizations' data observability challenges and assist them in better using their existing investments.”

Apica customers can expect to see the Circonus capabilities added to the Apica Ascent platform in the first half of 2024.

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Apica Acquires Circonus

Apica has acquired Circonus.

Apica also announced a new funding round led by Riverside Acceleration Capital (RAC), with additional funding from existing investors Industrifonden, SEB Foundation, Oxx, and Leo Capital. With this latest acquisition and new financing, Apica will continue providing a modern approach to observability data management for enterprise organizations.

With Circonus, Apica will proceed with helping customers realize the full potential of their data to drive better business decisions.

“This acquisition further solidifies our position as a trailblazer in data management and observability, and we are excited to welcome Circonus aboard,” said Mathias Thomsen, CEO, Apica. “Its solutions are well aligned with our roadmap, and we will be able to provide our customers with a unified view of their entire technology stack. In addition, I’m happy that Riverside Acceleration Capital has invested in our active observability vision and looking forward to partnering with them as they join our influential group of investors.”

An observability data provider, Circonus specializes in monitoring and analytics solutions specifically designed for organizations with large amounts of telemetry data. Apica will integrate Circonus’ IRONdb and Passport products into the Ascent Platform.

IRONdb provides a high cardinality time series database for more than 1 billion unique time series metric streams. It addresses the key challenges data management teams encounter with typical time series databases. Passport allows data teams to gain control over telemetry agents while managing varieties of high-volume telemetry data. The result is fleet management of all data collectors, centralized visibility into the inventory agents, and centralized management of telemetry elasticity at the edge.

“With the rate at which data continues to multiply, customers are increasingly in need of affordable solutions that eliminate data silos, reduce tool sprawl, and provide a holistic picture of the inner workings of their operational data. We are excited to deliver edge data control,” said Ranjan Parthasarathy, chief product and technology officer, Apica. “As an active observability platform, we can quickly respond to many enterprise organizations' data observability challenges and assist them in better using their existing investments.”

Apica customers can expect to see the Circonus capabilities added to the Apica Ascent platform in the first half of 2024.

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For years, cybersecurity was built around a simple assumption: protect the physical network and trust everything inside it. That model made sense when employees worked in offices, applications lived in data centers, and devices rarely left the building. Today's reality is fluid: people work from everywhere, applications run across multiple clouds, and AI-driven agents are beginning to act on behalf of users. But while the old perimeter dissolved, a new one quietly emerged ...

For years, infrastructure teams have treated compute as a relatively stable input. Capacity was provisioned, costs were forecasted, and performance expectations were set based on the assumption that identical resources behaved identically. That mental model is starting to break down. AI infrastructure is no longer behaving like static cloud capacity. It is increasingly behaving like a market ...

Resilience can no longer be defined by how quickly an organization recovers from an incident or disruption. The effectiveness of any resilience strategy is dependent on its ability to anticipate change, operate under continuous stress, and adapt confidently amid uncertainty ...

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AI systems are still prone to hallucinations and misjudgments ... To build the trust needed for adoption, AI must be paired with human-in-the-loop (HITL) oversight, or checkpoints where humans verify, guide, and decide what actions are taken. The balance between autonomy and accountability is what will allow AI to deliver on its promise without sacrificing human trust ...

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