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Kentik

Kubernetes and the Service Mesh Era

Kubernetes is a game-changer for enterprise organizations. Automating deployment, scaling, and management of containerized applications allows organizations to embrace a cloud-native paradigm at scale and more easily employ best practices, such as microservices and DevSecOps. But as with all tech, Kubernetes has its limits. Kelsey Hightower famously tweeted that “Kubernetes is a platform for building platforms. It’s a better place to start; not the endgame.”

The Reality of Machine Learning in Network Observability

For the last few years, the entire networking industry has focused on analytics and mining more and more information out of the network. This makes sense because of all the changes in networking over the last decade. Changes like network overlays, public cloud, applications delivered as a service, and containers mean we need to pay attention to much more diverse information out there.

Kentik Synthetics in 20 Seconds

You can't wait until an end user tells you an application is slow before you troubleshoot. Kentik Synthetics shows you exactly where the latency is, whether that's in a public cloud, your private network, and with your SaaS applications. By using Kentik synthetic tests, you can proactively monitor application performance and find out if there are problems before your end users do.

A Year in Internet Analysis: 2022

This past year was another busy one for the internet. In this blog post, I will highlight 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. These posts are organized into two broad categories: major internet disruptions and BGP routing security.

Kubernetes and Cross-cloud Service Meshes

As today’s enterprises shift to the cloud, Kubernetes has emerged as the de facto platform for running containerized microservices. And while Kubernetes operates as a single cluster, enterprises inevitably run their applications on a complex, often confusing, architecture of multiple clusters deployed to a hybrid of multiple cloud providers and private data centers. This approach creates a lot of problems. How do your services find each other? How do they communicate securely?

Maximizing Application Performance: How to Extract Practical Data from Your Network

How many applications do you use that exist only on the computer in front of you? Two? One? None at all? I occasionally use two applications that live locally on my computer, but all the rest, including every application I use for personal and professional work, are delivered over the internet. That’s pretty much where we are these days, isn’t it?

Multi-cloud vs. hybrid cloud networks: What's the difference?

In today’s digital landscape, application demands such as scalability, performance, and reliability push many IT organizations toward cloud-based networks. Initially, cloud providers’ main offering was managed, virtualized data storage and services, or cloud computing. As cloud ecosystems have matured, so have the tools, services, and use cases available to their customers.