Bring Your Cloud Bill Down to Earth

Cloud egress — data leaving a cloud provider’s network — is one of the largest and least-visible line items on a cloud bill. Kentik analyzes traffic flows across AWS, Azure, GCP, and OCI to show you exactly where egress is happening, how much it costs, and which applications, teams, or services are driving it. Kentik identifies common cost traps like traffic routing between availability zones or regions unnecessarily, workloads sending data over public internet paths instead of private interconnects, and over-provisioned gateways generating hidden per-GB charges. With this visibility, teams have achieved double-digit percentage reductions in cloud networking costs.

Yes. Kentik enriches cloud traffic data with business context — including cloud account tags, subscription IDs, application labels, and custom metadata — so you can break down networking costs by team, project, service, or any dimension that matters to your organization. This goes beyond what native cloud billing tools provide, because Kentik attributes costs based on actual traffic flows, not just resource allocation. You can see that a specific application in a specific region is responsible for a specific dollar amount of egress, then drill into why.

Native cloud cost tools are useful for tracking overall resource spend, but they have limited visibility into networking costs — especially egress, inter-region traffic, and interconnect utilization. They typically show you what you spent, but not why the traffic is flowing that way or how to fix it. Kentik fills this gap by combining cloud flow log analysis with traffic path context, interconnect performance data, and business metadata. This means Kentik can answer questions native tools can’t: Which application is driving the egress spike? Is this traffic using the cheapest path? What would we save by adding a peering connection instead of using transit?

Yes. Cloud migrations are one of the highest-risk periods for unexpected networking costs. Kentik helps before, during, and after migration by establishing traffic baselines so you understand dependencies and volumes before you move, monitoring traffic patterns during migration to catch misconfigurations that create costly cross-region or cross-cloud flows, and continuously optimizing post-migration by tracking how traffic routes, interconnect utilization, and egress costs evolve as workloads settle.

Over-provisioned gateways, firewalls, NAT gateways, and load balancers are a common source of hidden cloud costs — you pay per GB processed, and most teams provision for peak without understanding actual utilization. Kentik uses cloud-native metrics and traffic flow analysis to show you exactly how much traffic each infrastructure component handles, whether it’s over- or under-utilized, and where consolidation is possible. Teams use this to eliminate redundant NAT gateways, consolidate load balancers, and resize interconnect capacity based on actual demand rather than guesswork.

Kentik provides cost and traffic visibility across AWS, Microsoft Azure, Google Cloud (GCP), and Oracle Cloud Infrastructure (OCI). For each provider, Kentik ingests cloud flow logs and cloud-native metrics, enriches them with routing and business context, and presents unified analytics in a single platform. This multi-cloud support is critical because many organizations operate across two or more providers — and the most expensive networking costs often live at the boundaries between clouds, or between cloud and on-prem, where native tools have the least visibility.

Kentik AI Advisor can surface cost anomalies and optimization opportunities using natural language queries — for example, asking ‘What’s driving the egress cost increase in us-east-1 this week?’ or ‘Which services are sending the most inter-region traffic?’ AI Advisor correlates traffic patterns with cost data and routing context to identify root causes and suggest actions, making it faster to find savings without manually building queries or dashboards. Kentik’s Insights feature also automatically detects significant changes in traffic patterns and alerts you before they show up on your bill.

Reduce Cloud Spend focuses on cloud egress costs, inter-region and cross-cloud traffic optimization, infrastructure right-sizing, and migration cost management across AWS, Azure, GCP, and OCI. Reduce Network Spend focuses on transit, peering, and interconnect economics — optimizing cost per bit across your provider mix, building data-driven peering proposals, and managing connectivity costs for ISPs, CDNs, and service providers. Many organizations use both: Reduce Cloud Spend to control what they pay cloud providers for data transfer, and Reduce Network Spend to optimize what they pay transit and peering partners to move traffic across the internet.