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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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AI is the catalyst for significant investment in data teams as enterprises require higher-quality data to power their AI applications, according to the State of Analytics Engineering Report from dbt Labs ...

Misaligned architecture can lead to business consequences, with 93% of respondents reporting negative outcomes such as service disruptions, high operational costs and security challenges ...

A Gartner analyst recently suggested that GenAI tools could create 25% time savings for network operational teams. Where might these time savings come from? How are GenAI tools helping NetOps teams today, and what other tasks might they take on in the future as models continue improving? In general, these savings come from automating or streamlining manual NetOps tasks ...

IT and line-of-business teams are increasingly aligned in their efforts to close the data gap and drive greater collaboration to alleviate IT bottlenecks and offload growing demands on IT teams, according to The 2025 Automation Benchmark Report: Insights from IT Leaders on Enterprise Automation & the Future of AI-Driven Businesses from Jitterbit ...

A large majority (86%) of data management and AI decision makers cite protecting data privacy as a top concern, with 76% of respondents citing ROI on data privacy and AI initiatives across their organization, according to a new Harris Poll from Collibra ...

According to Gartner, Inc. the following six trends will shape the future of cloud over the next four years, ultimately resulting in new ways of working that are digital in nature and transformative in impact ...

2020 was the equivalent of a wedding with a top-shelf open bar. As businesses scrambled to adjust to remote work, digital transformation accelerated at breakneck speed. New software categories emerged overnight. Tech stacks ballooned with all sorts of SaaS apps solving ALL the problems — often with little oversight or long-term integration planning, and yes frequently a lot of duplicated functionality ... But now the music's faded. The lights are on. Everyone from the CIO to the CFO is checking the bill. Welcome to the Great SaaS Hangover ...

Regardless of OpenShift being a scalable and flexible software, it can be a pain to monitor since complete visibility into the underlying operations is not guaranteed ... To effectively monitor an OpenShift environment, IT administrators should focus on these five key elements and their associated metrics ...

An overwhelming majority of IT leaders (95%) believe the upcoming wave of AI-powered digital transformation is set to be the most impactful and intensive seen thus far, according to The Science of Productivity: AI, Adoption, And Employee Experience, a new report from Nexthink ...

Overall outage frequency and the general level of reported severity continue to decline, according to the Outage Analysis 2025 from Uptime Institute. However, cyber security incidents are on the rise and often have severe, lasting impacts ...