Tigera: Calculating The Integration Tax: What Your DIY Kubernetes Networking Stack Actually Costs
If you run a couple of clusters managed by a single team you probably don’t notice the way using different tools for CNI, network policy, service mesh, observability, threat detection, and compliance can add up. As you scale, however, this ‘integration tax’, often hidden in engineer time lost to upgrade coordination, stretched MTTR due to separate L3 and L7 policies, and onboarding drag from multiple tools and query languages, becomes costly.
From engineering time wasted on infrastructure maintenance to lost revenue due to outages, for a typical enterprise (150 clusters, 25 platform engineers, five networking tools), this tax easily exceeds $1M annually. If you have one or more roadmaps dedicated to integrating your tools and platforms, you should consider calculating the integration tax and maybe rethinking your DIY tool stack.
In this session, we’ll break down the five quantifiable components — glue work, extended MTTR, licensing overlap, onboarding drag, and upgrade cost — and show how to size each for your environment.
What you’ll learn
- Where the integration tax actually hides in a DIY Kubernetes networking stack — and why the license line is the smallest part of the bill
- How to calculate the five components (glue work, extended MTTR, licensing overlap, onboarding drag, upgrade cost) for your own environment
- How to model the 3-year ROI and payback of consolidation — mapping tool spend, FTE time, security exposure, and compliance hours to dollar savings
- Which integrations are worth paying for, and which are costing more than they’re returning
- What platform leaders across banking, IT services, and cloud providers are actually doing about it in 2026
Join us to learn what goes into calculating a payback timeline you can stress-test, and a framework for deciding which integrations earn their keep.