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Kentik

The Evolution of Data Center Networking for AI Workloads

Traditional data center networking can’t meet the needs of today’s AI workload communication. We need a different networking paradigm to meet these new challenges. In this blog post, learn about the technical changes happening in data center networking from the silicon to the hardware to the cables in between.

State of the Internet: Monitoring SaaS Application Performance

Kentik's State of the Internet Overview: With the increasing reliance on SaaS applications in organizations and homes, monitoring connectivity and connection quality is crucial. However, gaining insights into third-party networks like Google's DNS, Microsoft 365, or Zoom is challenging. Kentik's "State of the Internet" offers a solution. Part of Kentik's network observability platform, it deploys hundreds of test agents globally to monitor popular SaaS providers, major public clouds, and DNS services.

How AI is Changing Modern Networking

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.

Solving Faster in the Cloud Hybrid Infrastructure Observability with Kentik

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.

Network Observability Across the Enterprise

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.

Container Network Observability

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.

Data-driven Network Observability

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.

Is your cloud provider executing network maintenance? Yes, yes they are.

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.