Skip to main content

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

According to Auvik's 2025 IT Trends Report, 60% of IT professionals feel at least moderately burned out on the job, with 43% stating that their workload is contributing to work stress. At the same time, many IT professionals are naming AI and machine learning as key areas they'd most like to upskill ...

Businesses that face downtime or outages risk financial and reputational damage, as well as reducing partner, shareholder, and customer trust. One of the major challenges that enterprises face is implementing a robust business continuity plan. What's the solution? The answer may lie in disaster recovery tactics such as truly immutable storage and regular disaster recovery testing ...

IT spending is expected to jump nearly 10% in 2025, and organizations are now facing pressure to manage costs without slowing down critical functions like observability. To meet the challenge, leaders are turning to smarter, more cost effective business strategies. Enter stage right: OpenTelemetry, the missing piece of the puzzle that is no longer just an option but rather a strategic advantage ...

Amidst the threat of cyberhacks and data breaches, companies install several security measures to keep their business safely afloat. These measures aim to protect businesses, employees, and crucial data. Yet, employees perceive them as burdensome. Frustrated with complex logins, slow access, and constant security checks, workers decide to completely bypass all security set-ups ...

Image
Cloudbrink's Personal SASE services provide last-mile acceleration and reduction in latency

In MEAN TIME TO INSIGHT Episode 13, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses hybrid multi-cloud networking strategy ... 

In high-traffic environments, the sheer volume and unpredictable nature of network incidents can quickly overwhelm even the most skilled teams, hindering their ability to react swiftly and effectively, potentially impacting service availability and overall business performance. This is where closed-loop remediation comes into the picture: an IT management concept designed to address the escalating complexity of modern networks ...

In 2025, enterprise workflows are undergoing a seismic shift. Propelled by breakthroughs in generative AI (GenAI), large language models (LLMs), and natural language processing (NLP), a new paradigm is emerging — agentic AI. This technology is not just automating tasks; it's reimagining how organizations make decisions, engage customers, and operate at scale ...

In the early days of the cloud revolution, business leaders perceived cloud services as a means of sidelining IT organizations. IT was too slow, too expensive, or incapable of supporting new technologies. With a team of developers, line of business managers could deploy new applications and services in the cloud. IT has been fighting to retake control ever since. Today, IT is back in the driver's seat, according to new research by Enterprise Management Associates (EMA) ...

In today's fast-paced and increasingly complex network environments, Network Operations Centers (NOCs) are the backbone of ensuring continuous uptime, smooth service delivery, and rapid issue resolution. However, the challenges faced by NOC teams are only growing. In a recent study, 78% state network complexity has grown significantly over the last few years while 84% regularly learn about network issues from users. It is imperative we adopt a new approach to managing today's network experiences ...

Image
Broadcom

From growing reliance on FinOps teams to the increasing attention on artificial intelligence (AI), and software licensing, the Flexera 2025 State of the Cloud Report digs into how organizations are improving cloud spend efficiency, while tackling the complexities of emerging technologies ...

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

According to Auvik's 2025 IT Trends Report, 60% of IT professionals feel at least moderately burned out on the job, with 43% stating that their workload is contributing to work stress. At the same time, many IT professionals are naming AI and machine learning as key areas they'd most like to upskill ...

Businesses that face downtime or outages risk financial and reputational damage, as well as reducing partner, shareholder, and customer trust. One of the major challenges that enterprises face is implementing a robust business continuity plan. What's the solution? The answer may lie in disaster recovery tactics such as truly immutable storage and regular disaster recovery testing ...

IT spending is expected to jump nearly 10% in 2025, and organizations are now facing pressure to manage costs without slowing down critical functions like observability. To meet the challenge, leaders are turning to smarter, more cost effective business strategies. Enter stage right: OpenTelemetry, the missing piece of the puzzle that is no longer just an option but rather a strategic advantage ...

Amidst the threat of cyberhacks and data breaches, companies install several security measures to keep their business safely afloat. These measures aim to protect businesses, employees, and crucial data. Yet, employees perceive them as burdensome. Frustrated with complex logins, slow access, and constant security checks, workers decide to completely bypass all security set-ups ...

Image
Cloudbrink's Personal SASE services provide last-mile acceleration and reduction in latency

In MEAN TIME TO INSIGHT Episode 13, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses hybrid multi-cloud networking strategy ... 

In high-traffic environments, the sheer volume and unpredictable nature of network incidents can quickly overwhelm even the most skilled teams, hindering their ability to react swiftly and effectively, potentially impacting service availability and overall business performance. This is where closed-loop remediation comes into the picture: an IT management concept designed to address the escalating complexity of modern networks ...

In 2025, enterprise workflows are undergoing a seismic shift. Propelled by breakthroughs in generative AI (GenAI), large language models (LLMs), and natural language processing (NLP), a new paradigm is emerging — agentic AI. This technology is not just automating tasks; it's reimagining how organizations make decisions, engage customers, and operate at scale ...

In the early days of the cloud revolution, business leaders perceived cloud services as a means of sidelining IT organizations. IT was too slow, too expensive, or incapable of supporting new technologies. With a team of developers, line of business managers could deploy new applications and services in the cloud. IT has been fighting to retake control ever since. Today, IT is back in the driver's seat, according to new research by Enterprise Management Associates (EMA) ...

In today's fast-paced and increasingly complex network environments, Network Operations Centers (NOCs) are the backbone of ensuring continuous uptime, smooth service delivery, and rapid issue resolution. However, the challenges faced by NOC teams are only growing. In a recent study, 78% state network complexity has grown significantly over the last few years while 84% regularly learn about network issues from users. It is imperative we adopt a new approach to managing today's network experiences ...

Image
Broadcom

From growing reliance on FinOps teams to the increasing attention on artificial intelligence (AI), and software licensing, the Flexera 2025 State of the Cloud Report digs into how organizations are improving cloud spend efficiency, while tackling the complexities of emerging technologies ...