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Netdata Raises $14.2M in Series A Funding

Netdata completed a new round of financing totaling $14.2M led by Bessemer Venture Partners, with participation from existing investors Bain Capital Ventures and Uncorrelated Ventures, bringing its total raised in Series A to $31M.

The investment will be used to accelerate research and development in support of Netdata’s open, interoperable, and extensible monitoring and troubleshooting platform.

The funding extends Netdata’s Series A round and builds on an exceptional year punctuated by the growing adoption of the open-source Netdata Agent and the introduction of the new Netdata Cloud software-as-a-service offering, a cloud-based console for infrastructure-wide monitoring, enabling teams to collaborate and work in parallel to streamline troubleshooting workflows, driving down incident response times.

Key features and benefits of the Netdata platform include:

- Visualizes unlimited, highly granular, real-time metrics optimized for anomaly detection

- Deploys easily with no preplanning and zero configuration, with autodetection of hundreds of turnkey integrations, enabling monitoring and troubleshooting of web servers, file systems, databases, containers, and more

- Runs seamlessly on physical or virtual servers, containers and IoT devices to collect per-second or per-event metrics with no limits on scalability thanks to its distributed data architecture

- Works autonomously to collect, store, visualize, check, stream, and archive data, or can be easily integrated into existing monitoring tool chains

Both open-source Netdata Agent and closed-source Netdata Cloud are offered free of charge.

“Netdata has experienced exponential growth by filling an unmet need: giving SREs, DevOps engineers, sysadmins, and developers a way to gain visibility into their infrastructure in minutes, with zero configuration, thousands of metrics, and milliseconds from data collection to visualization,” said Costa Tsaousis, founder and CEO of Netdata. “With nearly a million new Docker pulls every day, Netdata has proven to be the most useful tool in the troubleshooting arsenal of IT professionals who are often challenged by the cost, complexity, and limitations of existing monitoring solutions. This new investment will further our vision by enabling us to build upon our community momentum to deliver innovative solutions in both our open source project and future commercial products.”

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Netdata Raises $14.2M in Series A Funding

Netdata completed a new round of financing totaling $14.2M led by Bessemer Venture Partners, with participation from existing investors Bain Capital Ventures and Uncorrelated Ventures, bringing its total raised in Series A to $31M.

The investment will be used to accelerate research and development in support of Netdata’s open, interoperable, and extensible monitoring and troubleshooting platform.

The funding extends Netdata’s Series A round and builds on an exceptional year punctuated by the growing adoption of the open-source Netdata Agent and the introduction of the new Netdata Cloud software-as-a-service offering, a cloud-based console for infrastructure-wide monitoring, enabling teams to collaborate and work in parallel to streamline troubleshooting workflows, driving down incident response times.

Key features and benefits of the Netdata platform include:

- Visualizes unlimited, highly granular, real-time metrics optimized for anomaly detection

- Deploys easily with no preplanning and zero configuration, with autodetection of hundreds of turnkey integrations, enabling monitoring and troubleshooting of web servers, file systems, databases, containers, and more

- Runs seamlessly on physical or virtual servers, containers and IoT devices to collect per-second or per-event metrics with no limits on scalability thanks to its distributed data architecture

- Works autonomously to collect, store, visualize, check, stream, and archive data, or can be easily integrated into existing monitoring tool chains

Both open-source Netdata Agent and closed-source Netdata Cloud are offered free of charge.

“Netdata has experienced exponential growth by filling an unmet need: giving SREs, DevOps engineers, sysadmins, and developers a way to gain visibility into their infrastructure in minutes, with zero configuration, thousands of metrics, and milliseconds from data collection to visualization,” said Costa Tsaousis, founder and CEO of Netdata. “With nearly a million new Docker pulls every day, Netdata has proven to be the most useful tool in the troubleshooting arsenal of IT professionals who are often challenged by the cost, complexity, and limitations of existing monitoring solutions. This new investment will further our vision by enabling us to build upon our community momentum to deliver innovative solutions in both our open source project and future commercial products.”

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Outages aren't new. What's new is how quickly they spread across systems, vendors, regions and customer workflows. The moment that performance degrades, expectations escalate fast. In today's always-on environment, an outage isn't just a technical event. It's a trust event ...

Most organizations approach OpenTelemetry as a collection of individual tools they need to assemble from scratch. This view misses the bigger picture. OpenTelemetry is a complete telemetry framework with composable components that address specific problems at different stages of organizational maturity. You start with what you need today and adopt additional pieces as your observability practices evolve ...

One of the earliest lessons I learned from architecting throughput-heavy services is that simplicity wins repeatedly: fewer moving parts, loosely coupled execution (fewer synchronous calls), and precise timing metering. You want data and decisions to travel the shortest possible path. The goal is to build a system where every strategy and each line of code (contention is the key metric) complements the decision trees ...

As discussions around AI "autonomous coworkers" accelerate, many industry projections assume that agents will soon operate alongside human staff in making decisions, taking actions, and managing tasks with minimal oversight. But a growing number of critics (including some of the developers building these systems) argue that the industry still has a long way to go to be able to treat AI agents like fully trusted teammates ...

Enterprise AI has entered a transformational phase where, according to Digitate's recently released survey, Agentic AI and the Future of Enterprise IT, companies are moving beyond traditional automation toward Agentic AI systems designed to reason, adapt, and collaborate alongside human teams ...

The numbers back this urgency up. A recent Zapier survey shows that 92% of enterprises now treat AI as a top priority. Leaders want it, and teams are clamoring for it. But if you look closer at the operations of these companies, you see a different picture. The rollout is slow. The results are often delayed. There's a disconnect between what leaders want and what their technical infrastructure can handle ...

Kyndryl's 2025 Readiness Report revealed that 61% of global business and technology leaders report increasing pressure from boards and regulators to prove AI's ROI. As the technology evolves and expectations continue to rise, leaders are compelled to generate and prove impact before scaling further. This will lead to a decisive turning point in 2026 ...

Cloudflare's disruption illustrates how quickly a single provider's issue cascades into widespread exposure. Many organizations don't fully realize how tightly their systems are coupled to thirdparty services, or how quickly availability and security concerns align when those services falter ... You can't avoid these dependencies, but you can understand them ...

If you work with AI, you know this story. A model performs during testing, looks great in early reviews, works perfectly in production and then slowly loses relevance after operating for a while. Everything on the surface looks perfect — pipelines are running, predictions or recommendations are error-free, data quality checks show green; yet outcomes don't meet the ground reality. This pattern often repeats across enterprise AI programs. Take for example, a mid-sized retail banking and wealth-management firm with heavy investments in AI-powered risk analytics, fraud detection and personalized credit-decisioning systems. The model worked well for a while, but transactions increased, so did false positives by 18% ...

Basic uptime is no longer the gold standard. By 2026, network monitoring must do more than report status, it must explain performance in a hybrid-first world. Networks are no longer just static support systems; they are agile, distributed architectures that sit at the very heart of the customer experience and the business outcomes ... The following five trends represent the new standard for network health, providing a blueprint for teams to move from reactive troubleshooting to a proactive, integrated future ...