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Kentik Kube Launched

Kentik announced the general availability of Kentik Kube, designed to reveal how Kubernetes traffic routes through organizations’ data centers, clouds, and the internet.

Kentik Kube gives network, 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, surface anomalies and compliance issues, and identify outliers related to network traffic costs.

Key benefits of Kentik Kube:

- Ensure Kubernetes performance: Discover which services and pods are experiencing network delays in order to troubleshoot and fix problems faster. Configure alert policies to proactively find high latency nodes, pods, workloads, or services.

- Optimize costs: Quickly detect traffic changes tied to new deployments or misconfigurations before egress, inter-region transfer, and gateway charges get out of control.

- Total Infrastructure Visibility: Know which pods were deployed on which nodes — even historically. See which pods and services are communicating with other clusters, non-Kubernetes infrastructure, or the Internet. Quickly detect top talkers. Identify Kubernetes clusters sending traffic to embargoed countries or unapproved external destinations.

“With Kentik Kube, Kubernetes is no longer a black box for network teams,” said Christoph Pfister, Chief Product Officer at Kentik. “Now enterprise infrastructure engineers can quickly understand Kubernetes traffic – from transit costs, to performance problems, to embargoed communications – and see how it flows through the internet and their entire hybrid network infrastructure.”

Kentik Kube collects metadata across Kubernetes pods, clusters, and services – combined with telemetry from a lightweight eBPF agent – for unparalleled breadth and depth of network observability. This dataset, coupled with Kentik’s advanced analytics engine, allows infrastructure and platform teams to move faster, reduce incident resolution times, and answer critical questions about the health and performance of their overall network.

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Kentik Kube Launched

Kentik announced the general availability of Kentik Kube, designed to reveal how Kubernetes traffic routes through organizations’ data centers, clouds, and the internet.

Kentik Kube gives network, 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, surface anomalies and compliance issues, and identify outliers related to network traffic costs.

Key benefits of Kentik Kube:

- Ensure Kubernetes performance: Discover which services and pods are experiencing network delays in order to troubleshoot and fix problems faster. Configure alert policies to proactively find high latency nodes, pods, workloads, or services.

- Optimize costs: Quickly detect traffic changes tied to new deployments or misconfigurations before egress, inter-region transfer, and gateway charges get out of control.

- Total Infrastructure Visibility: Know which pods were deployed on which nodes — even historically. See which pods and services are communicating with other clusters, non-Kubernetes infrastructure, or the Internet. Quickly detect top talkers. Identify Kubernetes clusters sending traffic to embargoed countries or unapproved external destinations.

“With Kentik Kube, Kubernetes is no longer a black box for network teams,” said Christoph Pfister, Chief Product Officer at Kentik. “Now enterprise infrastructure engineers can quickly understand Kubernetes traffic – from transit costs, to performance problems, to embargoed communications – and see how it flows through the internet and their entire hybrid network infrastructure.”

Kentik Kube collects metadata across Kubernetes pods, clusters, and services – combined with telemetry from a lightweight eBPF agent – for unparalleled breadth and depth of network observability. This dataset, coupled with Kentik’s advanced analytics engine, allows infrastructure and platform teams to move faster, reduce incident resolution times, and answer critical questions about the health and performance of their overall network.

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E-commerce is set to skyrocket with a 9% rise over the next few years ... To thrive in this competitive environment, retailers must identify digital resilience as their top priority. In a world where savvy shoppers expect 24/7 access to online deals and experiences, any unexpected downtime to digital services can lead to significant financial losses, damage to brand reputation, abandoned carts with designer shoes, and additional issues ...

Efficiency is a highly-desirable objective in business ... We're seeing this scenario play out in enterprises around the world as they continue to struggle with infrastructures and remote work models with an eye toward operational efficiencies. In contrast to that goal, a recent Broadcom survey of global IT and network professionals found widespread adoption of these strategies is making the network more complex and hampering observability, leading to uptime, performance and security issues. Let's look more closely at these challenges ...

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Gartner revealed its top strategic predictions for 2025 and beyond. Gartner's top predictions explore how generative AI (GenAI) is affecting areas where most would assume only humans can have lasting impact ...

The adoption of artificial intelligence (AI) is accelerating across the telecoms industry, with 88% of fixed broadband service providers now investigating or trialing AI automation to enhance their fixed broadband services, according to new research from Incognito Software Systems and Omdia ...

 

AWS is a cloud-based computing platform known for its reliability, scalability, and flexibility. However, as helpful as its comprehensive infrastructure is, disparate elements and numerous siloed components make it difficult for admins to visualize the cloud performance in detail. It requires meticulous monitoring techniques and deep visibility to understand cloud performance and analyze operational efficiency in detail to ensure seamless cloud operations ...

Imagine a future where software, once a complex obstacle, becomes a natural extension of daily workflow — an intuitive, seamless experience that maximizes productivity and efficiency. This future is no longer a distant vision but a reality being crafted by the transformative power of Artificial Intelligence ...

Enterprise data sprawl already challenges companies' ability to protect and back up their data. Much of this information is never fully secured, leaving organizations vulnerable. Now, as GenAI platforms emerge as yet another environment where enterprise data is consumed, transformed, and created, this fragmentation is set to intensify ...

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