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Apica Ascent Platform 2.0 Released

Apica announced new capabilities for its Apica Ascent Platform.

Following the company’s acquisitions of data fabric innovator LOGIQ.AI and telemetry data management pioneer Circonus, Apica has integrated capabilities from both organizations into its platform to provide deeper insights into data management. This makes it easier for customers to gather the needed data and seamlessly apply it to their systems and platforms.

In addition to making two acquisitions over the last 10 months, Apica announced $16M in new capital. With this funding, it expanded its Office of the CTO and strengthened its engineering, research, and development teams. These actions are critical to achieving the integrations necessary to announce Apica Ascent 2.0 today.

“Apica is built on the premise of being flexible and meeting enterprise customers where they are,” said Ranjan Parthasarathy, Chief Technology and Product Officer at Apica. “Organizations struggle to manage tool sprawl, so we’ve provided the platform that ensures their legacy and digital transformation strategies work well together. They don’t have to leave their legacy tools behind while modernizing – Apica can help make everything work together to provide insights needed for the business. We regularly hear from customers and in peer reviews that we are easy to implement, use, and manage, and our costs are the lowest.”

The Ascent platform 2.0 is the outcome of Apica’s strategic approach of looking at data management as a fundamental problem that underlies the challenges companies face when dealing with machine data / operational data. The company first introduced the platform in 2022 and focused on monitoring. As customers’ needs changed, Apica adapted to solve their data management problems as a true observability and data management company. Through strategic acquisitions that are now incorporated into the Ascent platform, the company continues to modernize observability. The platform covers a gamut of things, including network, performance, metrics around compute, memory, storage, and file systems, among others as well as gathering application data like logs, metrics, and traces from organizations’ runtime applications.

Apica posits that observability is a data problem; therefore, providing the necessary controls to introduce data transformation and cleansing capabilities is essential. This is part of the company’s data management strategy, where customers can now have complete control over their data challenges of growing data volume, rising data cost, and poor data quality.

“Many tools on the market solve the search problem and not the data problem. We’ve been solving the data problem as a fundamental underpinning of our data management architecture,” added Parthasarathy. “And, we support an approach that does not stick our clients in a walled garden. With the onset of Generative AI, we now face even more data growth. Customers will also need open-source solutions to keep costs down and avoid a situation with proprietary tech where data is closed off. Apica embraces anything and everything to support ecosystem connectors, enabling open protocols and data collectors to be available in the open ecosystem, and we’re not done yet. We continue to work towards open source to provide the most extensive coverage and help customers control their data better.”

Apica Ascent 2.0 Platform Capabilities

- Consumer-grade UX with a single pane of glass for all your machine data workflows: Digital User Experience Monitoring, Telemetry Pipeline management and Full stack observability

- Simplified data storage at scale, powered by our patented InstaStore technology, in any cloud environment

- Deep integration with open-source software and emerging technologies such as OpenTelemetry

- Built on open data standards, allowing support for a broad ecosystem of data collectors and data integrations out of the box

- Powered by AI/ML and Generative AI for rapid troubleshooting

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Apica Ascent Platform 2.0 Released

Apica announced new capabilities for its Apica Ascent Platform.

Following the company’s acquisitions of data fabric innovator LOGIQ.AI and telemetry data management pioneer Circonus, Apica has integrated capabilities from both organizations into its platform to provide deeper insights into data management. This makes it easier for customers to gather the needed data and seamlessly apply it to their systems and platforms.

In addition to making two acquisitions over the last 10 months, Apica announced $16M in new capital. With this funding, it expanded its Office of the CTO and strengthened its engineering, research, and development teams. These actions are critical to achieving the integrations necessary to announce Apica Ascent 2.0 today.

“Apica is built on the premise of being flexible and meeting enterprise customers where they are,” said Ranjan Parthasarathy, Chief Technology and Product Officer at Apica. “Organizations struggle to manage tool sprawl, so we’ve provided the platform that ensures their legacy and digital transformation strategies work well together. They don’t have to leave their legacy tools behind while modernizing – Apica can help make everything work together to provide insights needed for the business. We regularly hear from customers and in peer reviews that we are easy to implement, use, and manage, and our costs are the lowest.”

The Ascent platform 2.0 is the outcome of Apica’s strategic approach of looking at data management as a fundamental problem that underlies the challenges companies face when dealing with machine data / operational data. The company first introduced the platform in 2022 and focused on monitoring. As customers’ needs changed, Apica adapted to solve their data management problems as a true observability and data management company. Through strategic acquisitions that are now incorporated into the Ascent platform, the company continues to modernize observability. The platform covers a gamut of things, including network, performance, metrics around compute, memory, storage, and file systems, among others as well as gathering application data like logs, metrics, and traces from organizations’ runtime applications.

Apica posits that observability is a data problem; therefore, providing the necessary controls to introduce data transformation and cleansing capabilities is essential. This is part of the company’s data management strategy, where customers can now have complete control over their data challenges of growing data volume, rising data cost, and poor data quality.

“Many tools on the market solve the search problem and not the data problem. We’ve been solving the data problem as a fundamental underpinning of our data management architecture,” added Parthasarathy. “And, we support an approach that does not stick our clients in a walled garden. With the onset of Generative AI, we now face even more data growth. Customers will also need open-source solutions to keep costs down and avoid a situation with proprietary tech where data is closed off. Apica embraces anything and everything to support ecosystem connectors, enabling open protocols and data collectors to be available in the open ecosystem, and we’re not done yet. We continue to work towards open source to provide the most extensive coverage and help customers control their data better.”

Apica Ascent 2.0 Platform Capabilities

- Consumer-grade UX with a single pane of glass for all your machine data workflows: Digital User Experience Monitoring, Telemetry Pipeline management and Full stack observability

- Simplified data storage at scale, powered by our patented InstaStore technology, in any cloud environment

- Deep integration with open-source software and emerging technologies such as OpenTelemetry

- Built on open data standards, allowing support for a broad ecosystem of data collectors and data integrations out of the box

- Powered by AI/ML and Generative AI for rapid troubleshooting

The Latest

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 ...