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Kentik Kube Beta Released

Kentik announced the availability of Kentik Kube beta, a solution to reveal how K8s traffic routes through organizations’ data centers, cloud, and the internet.

Kentik Kube gives cloud and infrastructure engineers detailed network traffic and performance visibility both inside and among their Kubernetes clusters — so they can quickly detect and solve network problems, and surface traffic costs from pods to external services.

This allows them to:

- Discover which services and pods are experiencing network delays

- Ensure pod, node and namespace communication patterns adhere to policy

- Know exactly who was talking to which pod, and when

- Identify service misconfigurations without the need to capture packets

- Identify all clients and requesters consuming your Kubernetes services

“Enterprise applications have ridiculously complex and hybrid infrastructures,” says Avi Freedman, Co-founder and CEO of Kentik. “As network and platform engineers run critical applications and infrastructure, Kentik Kube shows performance and connectivity within the context of their entire network and internet infrastructure.”

Pods and services often experience network delays or errors that degrade the digital experience, and it’s difficult to identify them quickly. With the inherent complexity of microservices; network, cloud and infrastructure teams are left wondering if the network reality matches their design, who are the top requesters consuming Kubernetes services or which microservices are oversubscribed, and how the infrastructure is communicating both with itself and across the internet.

Kentik Kube relies on data generated from a lightweight eBPF agent installed on Kubernetes clusters. It sends data back to the Kentik SaaS platform, allowing teams to query, graph, and alert on their infrastructure. With this new data, coupled with Kentik’s advanced analytics engine, these teams can move faster, reduce MTTI and MTTR and answer critical questions about the health and performance of their network.

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Kentik Kube Beta Released

Kentik announced the availability of Kentik Kube beta, a solution to reveal how K8s traffic routes through organizations’ data centers, cloud, and the internet.

Kentik Kube gives cloud and infrastructure engineers detailed network traffic and performance visibility both inside and among their Kubernetes clusters — so they can quickly detect and solve network problems, and surface traffic costs from pods to external services.

This allows them to:

- Discover which services and pods are experiencing network delays

- Ensure pod, node and namespace communication patterns adhere to policy

- Know exactly who was talking to which pod, and when

- Identify service misconfigurations without the need to capture packets

- Identify all clients and requesters consuming your Kubernetes services

“Enterprise applications have ridiculously complex and hybrid infrastructures,” says Avi Freedman, Co-founder and CEO of Kentik. “As network and platform engineers run critical applications and infrastructure, Kentik Kube shows performance and connectivity within the context of their entire network and internet infrastructure.”

Pods and services often experience network delays or errors that degrade the digital experience, and it’s difficult to identify them quickly. With the inherent complexity of microservices; network, cloud and infrastructure teams are left wondering if the network reality matches their design, who are the top requesters consuming Kubernetes services or which microservices are oversubscribed, and how the infrastructure is communicating both with itself and across the internet.

Kentik Kube relies on data generated from a lightweight eBPF agent installed on Kubernetes clusters. It sends data back to the Kentik SaaS platform, allowing teams to query, graph, and alert on their infrastructure. With this new data, coupled with Kentik’s advanced analytics engine, these teams can move faster, reduce MTTI and MTTR and answer critical questions about the health and performance of their network.

The Latest

For many B2B and B2C enterprise brands, technology isn't a core strength. Relying on overly complex architectures (like those that follow a pure MACH doctrine) has been flagged by industry leaders as a source of operational slowdown, creating bottlenecks that limit agility in volatile market conditions ...

FinOps champions crucial cross-departmental collaboration, uniting business, finance, technology and engineering leaders to demystify cloud expenses. Yet, too often, critical cost issues are softened into mere "recommendations" or "insights" — easy to ignore. But what if we adopted security's battle-tested strategy and reframed these as the urgent risks they truly are, demanding immediate action? ...

Two in three IT professionals now cite growing complexity as their top challenge — an urgent signal that the modernization curve may be getting too steep, according to the Rising to the Challenge survey from Checkmk ...

While IT leaders are becoming more comfortable and adept at balancing workloads across on-premises, colocation data centers and the public cloud, there's a key component missing: connectivity, according to the 2025 State of the Data Center Report from CoreSite ...

A perfect storm is brewing in cybersecurity — certificate lifespans shrinking to just 47 days while quantum computing threatens today's encryption. Organizations must embrace ephemeral trust and crypto-agility to survive this dual challenge ...

In MEAN TIME TO INSIGHT Episode 14, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses hybrid multi-cloud network observability... 

While companies adopt AI at a record pace, they also face the challenge of finding a smart and scalable way to manage its rapidly growing costs. This requires balancing the massive possibilities inherent in AI with the need to control cloud costs, aim for long-term profitability and optimize spending ...

Telecommunications is expanding at an unprecedented pace ... But progress brings complexity. As WanAware's 2025 Telecom Observability Benchmark Report reveals, many operators are discovering that modernization requires more than physical build outs and CapEx — it also demands the tools and insights to manage, secure, and optimize this fast-growing infrastructure in real time ...

As businesses increasingly rely on high-performance applications to deliver seamless user experiences, the demand for fast, reliable, and scalable data storage systems has never been greater. Redis — an open-source, in-memory data structure store — has emerged as a popular choice for use cases ranging from caching to real-time analytics. But with great performance comes the need for vigilant monitoring ...

Kubernetes was not initially designed with AI's vast resource variability in mind, and the rapid rise of AI has exposed Kubernetes limitations, particularly when it comes to cost and resource efficiency. Indeed, AI workloads differ from traditional applications in that they require a staggering amount and variety of compute resources, and their consumption is far less consistent than traditional workloads ... Considering the speed of AI innovation, teams cannot afford to be bogged down by these constant infrastructure concerns. A solution is needed ...