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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

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A new wave of tariffs, some exceeding 100%, is sending shockwaves across the technology industry. Enterprises are grappling with sudden, dramatic cost increases that threaten to disrupt carefully planned budgets, sourcing strategies, and deployment plans. For CIOs and CTOs, this isn't just an economic setback; it's a wake-up call. The era of predictable cloud pricing and stable global supply chains is over ...

As artificial intelligence (AI) adoption gains momentum, network readiness is emerging as a critical success factor. AI workloads generate unpredictable bursts of traffic, demanding high-speed connectivity that is low latency and lossless. AI adoption will require upgrades and optimizations in data center networks and wide-area networks (WANs). This is prompting enterprise IT teams to rethink, re-architect, and upgrade their data center and WANs to support AI-driven operations ...

Artificial intelligence (AI) is core to observability practices, with some 41% of respondents reporting AI adoption as a core driver of observability, according to the State of Observability for Financial Services and Insurance report from New Relic ...

Application performance monitoring (APM) is a game of catching up — building dashboards, setting thresholds, tuning alerts, and manually correlating metrics to root causes. In the early days, this straightforward model worked as applications were simpler, stacks more predictable, and telemetry was manageable. Today, the landscape has shifted, and more assertive tools are needed ...

Cloud adoption has accelerated, but backup strategies haven't always kept pace. Many organizations continue to rely on backup strategies that were either lifted directly from on-prem environments or use cloud-native tools in limited, DR-focused ways ... Eon uncovered a handful of critical gaps regarding how organizations approach cloud backup. To capture these prevailing winds, we gathered insights from 150+ IT and cloud leaders at the recent Google Cloud Next conference, which we've compiled into the 2025 State of Cloud Data Backup ...

Private clouds are no longer playing catch-up, and public clouds are no longer the default as organizations recalibrate their cloud strategies, according to the Private Cloud Outlook 2025 report from Broadcom. More than half (53%) of survey respondents say private cloud is their top priority for deploying new workloads over the next three years, while 69% are considering workload repatriation from public to private cloud, with one-third having already done so ...

As organizations chase productivity gains from generative AI, teams are overwhelmingly focused on improving delivery speed (45%) over enhancing software quality (13%), according to the Quality Transformation Report from Tricentis ...

Back in March of this year ... MongoDB's stock price took a serious tumble ... In my opinion, it reflects a deeper structural issue in enterprise software economics altogether — vendor lock-in ...

In MEAN TIME TO INSIGHT Episode 15, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses Do-It-Yourself Network Automation ... 

Zero-day vulnerabilities — security flaws that are exploited before developers even know they exist — pose one of the greatest risks to modern organizations. Recently, such vulnerabilities have been discovered in well-known VPN systems like Ivanti and Fortinet, highlighting just how outdated these legacy technologies have become in defending against fast-evolving cyber threats ... To protect digital assets and remote workers in today's environment, companies need more than patchwork solutions. They need architecture that is secure by design ...