Operations | Monitoring | ITSM | DevOps | Cloud

February 2025

Breaking Free from Legacy Observability: Why Service Providers Choose Kentik Over Deepfield

Modern network operators need modern observability tools. In this post, we explore why Deepfield — a traditional network flow analytics platform — falls short in providing comprehensive insights required for today’s network operations, and how Kentik’s modern data platform is purpose-built for today’s infrastructure teams.

CLM Chowder: Digging Into the Cloud Latency of Azure, Google Cloud, and OCI

CLM Chowder is a new series which highlights notable observations of cloud connectivity surfaced by Kentik’s Cloud Latency Map. In this edition, we look at measurements from Alibaba (China), latency swings from South Africa, and a temporary latency jump from Marseilles to Asia.

Beyond Their Intended Scope: BGP Goof-UPX

In this second installment of Beyond Their Intended Scope, we analyze a recent BGP leak out of Brazil that briefly affected networks around the world. Because this routing mishap was a path leak (i.e., did not involve any mis-originations and therefore immune from RPKI ROV protection), it demonstrates why we need a thing called ASPA … ASAP.

Evaluating Cloud Gateways for Cost and Performance

Cloud networking costs can escalate due to inefficient routing and limited visibility. Kentik’s cloud visibility and analytics solution helps engineers optimize transit, reduce costs, and improve performance by analyzing AWS Transit Gateways and exploring alternatives like direct peering, storage endpoints, and AWS CloudWAN.

Kentik - Cloud Observability

Kentik Cloud provides comprehensive visibility across all major public clouds, offering seamless insight into cloud-to-on-prem network paths and the public internet routes connecting them. Identify latency, loss, jitter, and application-specific traffic while providing deep visibility into cloud networking constructs like ACLs to spot security issues. With powerful analytics, Kentik Cloud enables you to visualize intra-cloud traffic, identify idle resources for optimization, and leverage historical data to uncover trends and seasonal patterns—ensuring optimal cloud performance and cost efficiency.