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Netdata Enhances Kubernetes Support

Netdata announced a simplified and visual approach to monitoring Kubernetes.

Users of Netdata Cloud can now easily access the platform's built-in Helm chart to instantly monitor and troubleshoot unlimited numbers of Kubernetes clusters for free in real-time.

By utilizing the Netdata open-source Agent to collect and store metrics from any number of Kubernetes clusters, Netdata Cloud is able to immediately derive real-time insights that are streamed to the platform directly for visual monitoring of Kubernetes workloads with none of the traditional implementation challenges or setup complexity. Through its distributed data architecture, the platform enables DevOps teams to visualize their infrastructure with auto-discovery and zero-configuration in just a few minutes.

"Netdata's commitment to providing users with a free, zero-configuration Kubernetes monitoring experience allows us to meet demands from our community of developers, SRE's, and sysadmins who help us focus product development on what truly matters," said Robin Schumacher, VP of Product at Netdata. "Simple deployment, granular monitoring, and providing full visibility into IT black boxes are all key elements to effective troubleshooting, especially when using Kubernetes to orchestrate distributed systems. Netdata helps everyone be effective at uncovering issues in Kubernetes deployments."

Implementing Kubernetes is a growing practice among technology-focused companies. As the platform continues to build momentum, developers, SRE's and system administrators will need to adapt how they monitor their environment to troubleshoot anomalies and outages. The challenge lies in traditional approaches to Kubernetes support, where current solutions often do not offer the ease of use, depth of metrics, and visualizations needed to ensure healthy Kubernetes clusters.

Kubernetes monitoring with Netdata now:

- Features auto-discovery and metric collection from the node itself, kubelet/kube-proxy, pods/containers, and any containerized services or applications, such as databases and web servers, and then auto-configures visualizations within minutes.

- Removes the black-box feel of traditional Kubernetes monitoring by granting developers, SRE's and system administrators full visibility into their clusters, allowing them to digest all metrics and activity, while troubleshooting anomalies in an easy-to-navigate visual interface.

- Simplifies the deployment process, enabling users to visualize what is going on inside containers from CPU usage to disk IO, without manually setting up charts or writing queries to retrieve data.

Netdata circumvents the complexity and high-cost enterprises typically encounter when monitoring their Kubernetes deployments with a simplified solution with no limits as to the number of nodes, data, or users. The solution also employs a handful of complementary tools and collectors for peeling back the many complex layers of a Kubernetes cluster. These methods work together to give users every metric needed to troubleshoot performance or availability issues across their Kubernetes infrastructure.

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Netdata Enhances Kubernetes Support

Netdata announced a simplified and visual approach to monitoring Kubernetes.

Users of Netdata Cloud can now easily access the platform's built-in Helm chart to instantly monitor and troubleshoot unlimited numbers of Kubernetes clusters for free in real-time.

By utilizing the Netdata open-source Agent to collect and store metrics from any number of Kubernetes clusters, Netdata Cloud is able to immediately derive real-time insights that are streamed to the platform directly for visual monitoring of Kubernetes workloads with none of the traditional implementation challenges or setup complexity. Through its distributed data architecture, the platform enables DevOps teams to visualize their infrastructure with auto-discovery and zero-configuration in just a few minutes.

"Netdata's commitment to providing users with a free, zero-configuration Kubernetes monitoring experience allows us to meet demands from our community of developers, SRE's, and sysadmins who help us focus product development on what truly matters," said Robin Schumacher, VP of Product at Netdata. "Simple deployment, granular monitoring, and providing full visibility into IT black boxes are all key elements to effective troubleshooting, especially when using Kubernetes to orchestrate distributed systems. Netdata helps everyone be effective at uncovering issues in Kubernetes deployments."

Implementing Kubernetes is a growing practice among technology-focused companies. As the platform continues to build momentum, developers, SRE's and system administrators will need to adapt how they monitor their environment to troubleshoot anomalies and outages. The challenge lies in traditional approaches to Kubernetes support, where current solutions often do not offer the ease of use, depth of metrics, and visualizations needed to ensure healthy Kubernetes clusters.

Kubernetes monitoring with Netdata now:

- Features auto-discovery and metric collection from the node itself, kubelet/kube-proxy, pods/containers, and any containerized services or applications, such as databases and web servers, and then auto-configures visualizations within minutes.

- Removes the black-box feel of traditional Kubernetes monitoring by granting developers, SRE's and system administrators full visibility into their clusters, allowing them to digest all metrics and activity, while troubleshooting anomalies in an easy-to-navigate visual interface.

- Simplifies the deployment process, enabling users to visualize what is going on inside containers from CPU usage to disk IO, without manually setting up charts or writing queries to retrieve data.

Netdata circumvents the complexity and high-cost enterprises typically encounter when monitoring their Kubernetes deployments with a simplified solution with no limits as to the number of nodes, data, or users. The solution also employs a handful of complementary tools and collectors for peeling back the many complex layers of a Kubernetes cluster. These methods work together to give users every metric needed to troubleshoot performance or availability issues across their Kubernetes infrastructure.

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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 ...

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