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Grafana Labs Updates Kubernetes Monitoring in Grafana Cloud

Grafana Labs announced updates to Kubernetes Monitoring in Grafana Cloud, the solution for all levels of Kubernetes usage within an organization.

These new features target resource utilization and predictions, historical state analysis, and simplified third-party integrations.

With Kubernetes Monitoring, the solution introduced to the fully managed Grafana Cloud platform last year, users can automatically ship metrics to Grafana after installing the Grafana Agent into one or more Kubernetes clusters. Once this connection is made, Grafana Cloud users have out-of-the-box access to their Kubernetes metrics, logs, and events via pre-built dashboards and alerts.

Grafana Labs continues to expand the solution's capabilities to give users even more visibility into their Kubernetes fleet:

- Visualize resource utilization efficiency: With this new cost-focused feature, users get a bird's eye view of all the nodes in a cluster and the condition of those nodes. This helps reduce the deviation between resource allocation and actual resource utilization. Read more in this blog post.

- Predict CPU and RAM usage: This new ML-powered feature provides resource usage forecasts with a simple click. It helps users assure high availability and avoid performance degradation. With insights of future resource usage peaks, users can identify resource deprivation issues in their Kubernetes infrastructure. This feature is currently available for Grafana Cloud Pro and Advanced users.

- Retroactively visualize the state of your fleet: Kubernetes Monitoring visualizes a fleet's historical state in respect to user-selected dates and time. Users can navigate to different time frames to see the exact state of all visualizations during that moment. This feature will be available by the end of April.

- Monitor additional services running on Kubernetes: With the recently released Kubernetes Monitoring integrations, users can now monitor additional services running on Kubernetes with no more effort than selecting which service to connect to in the Grafana Connections UI. Current integrations include Grafana Mimir, CockroachDB, cert-manager, and Node Exporter, with NGINX, CoreDNS, and etcd coming soon.

Kubernetes Monitoring is available to all Grafana Cloud users, including those on the generous, forever-free tier. For more information on getting started with Kubernetes Monitoring in Grafana Cloud, visit the Kubernetes Monitoring solutions page, read our Kubernetes Monitoring blogs, check out our Kubernetes Monitoring documentation, and watch our webinars: Kubernetes monitoring, out-of-the-box with Grafana Cloud and How to control metrics growth in Prometheus and Kubernetes with Grafana Cloud.

In addition, Grafana Incident is a tool available in Grafana Cloud that automates the toilsome tasks of incident management. Its new Investigations feature streamlines incident response in Kubernetes environments by automatically identifying issues in cluster services, such as noisy neighbors and increased log errors, upon incident declaration from an alert. This functionality will soon be available in preview for Grafana Cloud Pro and Advanced users.

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Grafana Labs Updates Kubernetes Monitoring in Grafana Cloud

Grafana Labs announced updates to Kubernetes Monitoring in Grafana Cloud, the solution for all levels of Kubernetes usage within an organization.

These new features target resource utilization and predictions, historical state analysis, and simplified third-party integrations.

With Kubernetes Monitoring, the solution introduced to the fully managed Grafana Cloud platform last year, users can automatically ship metrics to Grafana after installing the Grafana Agent into one or more Kubernetes clusters. Once this connection is made, Grafana Cloud users have out-of-the-box access to their Kubernetes metrics, logs, and events via pre-built dashboards and alerts.

Grafana Labs continues to expand the solution's capabilities to give users even more visibility into their Kubernetes fleet:

- Visualize resource utilization efficiency: With this new cost-focused feature, users get a bird's eye view of all the nodes in a cluster and the condition of those nodes. This helps reduce the deviation between resource allocation and actual resource utilization. Read more in this blog post.

- Predict CPU and RAM usage: This new ML-powered feature provides resource usage forecasts with a simple click. It helps users assure high availability and avoid performance degradation. With insights of future resource usage peaks, users can identify resource deprivation issues in their Kubernetes infrastructure. This feature is currently available for Grafana Cloud Pro and Advanced users.

- Retroactively visualize the state of your fleet: Kubernetes Monitoring visualizes a fleet's historical state in respect to user-selected dates and time. Users can navigate to different time frames to see the exact state of all visualizations during that moment. This feature will be available by the end of April.

- Monitor additional services running on Kubernetes: With the recently released Kubernetes Monitoring integrations, users can now monitor additional services running on Kubernetes with no more effort than selecting which service to connect to in the Grafana Connections UI. Current integrations include Grafana Mimir, CockroachDB, cert-manager, and Node Exporter, with NGINX, CoreDNS, and etcd coming soon.

Kubernetes Monitoring is available to all Grafana Cloud users, including those on the generous, forever-free tier. For more information on getting started with Kubernetes Monitoring in Grafana Cloud, visit the Kubernetes Monitoring solutions page, read our Kubernetes Monitoring blogs, check out our Kubernetes Monitoring documentation, and watch our webinars: Kubernetes monitoring, out-of-the-box with Grafana Cloud and How to control metrics growth in Prometheus and Kubernetes with Grafana Cloud.

In addition, Grafana Incident is a tool available in Grafana Cloud that automates the toilsome tasks of incident management. Its new Investigations feature streamlines incident response in Kubernetes environments by automatically identifying issues in cluster services, such as noisy neighbors and increased log errors, upon incident declaration from an alert. This functionality will soon be available in preview for Grafana Cloud Pro and Advanced users.

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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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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 ...