Kentik Blog

In this blog, we discuss how Kubernetes approaches networking, the gaps in networking from Kubernetes, and how Kubernetes service meshes address those gaps.

Machine learning has taken the networking industry by storm, but is it just hype, or is it a valuable tool for engineers trying to solve real world problems? The reality of machine learning is that it’s simply another tool in a network engineer’s toolbox, and like any other tool, we use it when it makes sense, and we don’t use it when it doesn’t.

This past year was another busy one for the internet. This year-end blog post highlights some of the top pieces of analysis that we published in the past 12 months. This analysis employs Kentik’s data, technology, and expertise to inform the industry and the public about issues involving the technical underpinnings of the global internet and how global events can impact connectivity.

Kubernetes is a powerful platform for large-scale distributed systems, but out of the box, it doesn’t address all the needs of complex enterprise systems deployed across multiple clouds and private data centers. Service meshes fill that gap by connecting multiple clusters into a cohesive mesh.

Most of the applications we use today are delivered over the internet. That means there’s valuable application telemetry embedded right in the network itself. To solve today’s application performance problems, we need to take a network-centric approach that recognizes there’s much more to application performance monitoring than reviewing code and server logs.

In today’s digital landscape, application demands such as scalability, performance, and reliability push many IT organizations toward cloud-based networks. Learn what the best cloud solution for your enterprise needs is.

In this post, Nina Bargisen explores how peering coordinators can use combined NetFlow and BGP analysis tools to work around different capacity upgrades when money or delivery times pose a challenge.

To fully capitalize on the promises of digital transformation, IT leaders have come to recognize that a mix of cloud and data center infrastructure provides several business advantages. Read on to learn how an observable network leads to a better customer experience.

Getting the most out of cloud networks requires new tools and strategies, captured in the idea of network observability. Read the final entry in our series on managing the hidden costs of cloud networking.

When transitioning from physical infrastructure to the cloud, it’s easy to think that your networks will instantly be faster, more reliable, and less costly overnight. As it turns out, there’s more to it than that.