Artificial intelligence has changed the landscape of technology, especially as we collect and analyze vast amounts of data. As AI workloads are distributed among compute nodes and across data centers, what problems are posed for traditional networking, and what solutions can we discover? This live discussion between Justin Ryburn, Field CTO at Kentik, and Phillip Gervasi, Director of Technical Evangelism at Kentik, dives deep into the current state of data center networking in the age of AI.

Justin Ryburn describes the complexities of managing a modern enterprise network and the various areas where Kentik can provide observability. Having all of this information in a single platform that is easy to access and highly scalable provides a lot of value to Kentik customers. Justin wraps up with a discussion of Kentik’s roadmap for the future.

Justin Ryburn describes the complexities of managing the network in a modern Kubernetes deployment and how Kentik can provide observability. Leveraging eBPF technology allows network engineers the ability to visualize and make sense of the network traffic within the Kubernetes cluster, as well as traffic entering and leaving the cluster. Justin wraps up with a brief demo of Kentik’s beta Kentik Kube functionality.

The network may be the last thing most people think about, but it’s one of the most crucial components of application delivery. Here we discuss the importance of a data-driven approach to network observability. We unpack how Kentik’s approach to machine learning, big data, and a unified data repository can help network operations solve problems faster to ensure a reliable network with great application performance.

What happens to your apps when your cloud provider performs network maintenance? Kentik helps you monitor your app’s network paths and performance on premises, in the cloud, and in between. Kentik can show you the paths your app uses during normal operations and detect any changes that could cause decreased application performance. Public cloud maintenance is necessary, and with Kentik’s network observability platform, you can see exactly when your cloud provider is doing it and how it’s affecting your application traffic.

Avi Freedman talks about the newest product developments, including Kentik’s approach to what we call network observability, and how we collect network telemetry data. He also shares what is (and isn’t) on Kentik’s roadmap.

Mike Krygeris discusses using synthetic testing to maximize network performance and minimize downtime in today’s complex cloud, hybrid, and private on-prem networks. Learn how synthetic testing can help increase observability in all types of networks and web applications.

Using Kentik Kube, cloud and infrastructure engineers can access detailed network traffic and performance visibility for internal and external traffic for their Kubernetes clusters to quickly detect and solve network problems.

How can you quickly discover misconfigured security groups, access control lists, or routing tables? We explore how practitioners serving distributed teams or customer workloads can tighten up policies, impact costs, and unblock their colleagues with cloud infrastructure observability that starts with the network.

Join our Kentik experts and Andrew Green, Research Analyst at GigaOm for a panel discussion on common challenges organizations face as they move their workloads to the cloud. They will discuss some tales from the field and ways organizations can mitigate some of these challenges, such as cost overruns, connectivity interruptions, and security considerations.