API Gateways, Management & Edge Security4 min readUpdated September 2026

Kong vs Apigee for a GitOps Shop Running Everything in Terraform

When the whole platform is defined in Terraform and reconciled by Argo, a gateway configured through a web console becomes the one component nobody can roll back the same way as everything else.

Kong versus Google Cloud Apigee for technical cloud and DevOps consultancies turns on where configuration actually lives: custom resources inside your manifests, or policy bundles sitting outside the pipeline and slowly drifting from what is committed.

Vendors Covered in this Article

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Step 1: decide where gateway config lives

Before touching either product, settle the question that actually matters: does the gateway's configuration live in the same Git repository as the rest of your infrastructure, reviewed through the same pull request process, or does it live in a separate console with its own change history?

A consultancy that has built its reputation on GitOps discipline for clients is undermining that pitch the moment its own gateway configuration lives somewhere a pull request cannot touch.

Step 2: model Kong as a custom resource

Kong's Kubernetes ingress controller exposes routes, plugins, and consumers as custom resources, which means they reconcile through Argo CD or Flux exactly like every other manifest in your cluster. A route change goes through the same review, the same diff, and the same rollback mechanism as a deployment change.

This is the strongest argument for Kong in a shop built around continuous reconciliation: the gateway stops being a special case that needs its own operational playbook.

Step 3: what changes if you pick Apigee instead

Apigee's policy bundles can be managed through its management API and version controlled outside the console, but the reconciliation loop is not native the way a Kubernetes custom resource is. You are building and maintaining your own sync mechanism between Git and Apigee's control plane rather than relying on Argo or Flux to do it natively.

That is not disqualifying, plenty of teams run Apigee behind a CI pipeline successfully, but it is extra plumbing that a Kong plus Kubernetes stack gets for free.

Step 4: build the rollback path before you need it

The real test of either setup is not how configuration gets applied, it is how fast you can revert a bad change at two in the morning. With Kong's custom resources, a rollback is a git revert followed by Argo's normal reconciliation, identical to rolling back any other workload.

With Apigee, confirm your sync tooling supports a clean revert before you need it in production, not while an incident is active. A one way sync that pushes changes but cannot cleanly undo them is a gap worth closing during setup, not during an outage.

Step 5: choosing for a one or two person shop

A small consultancy without spare capacity to build and maintain custom sync tooling should lean toward Kong specifically because the Kubernetes native path requires the least additional engineering to fit into a GitOps pipeline you likely already run for clients.

Apigee remains the better fit when a client specifically needs Google's managed runtime and governance features, and your shop is willing to own the extra sync tooling as billable scope rather than overhead.

A pitfall worth naming: console drift during a live incident

Even a strict GitOps shop breaks its own rule under pressure. Something goes wrong at an inconvenient hour, an engineer opens the console or hits the management API directly to stop the bleeding, and the fix never makes it back into the repository. Weeks later, a routine reconciliation silently reverts that fix because Git no longer agrees with what is actually running.

The practical guard is not pretending this never happens, it is a standing rule that any out of band change gets a follow up commit within the same business day, with the incident ticket linked in the commit message. Clients evaluating a consultancy's own discipline will ask about this exact scenario, and having an answer beyond a promise to try harder is usually the difference that lands the engagement.

Habits that keep a GitOps gateway honest:

  • Adopt a same-day rule: any change made through the console or management API during an incident gets committed back to the repository that day.
  • Build and test the rollback path before you need it, so a bad change reverts with a git revert and normal reconciliation.
  • Confirm any Apigee sync tooling supports a clean revert before it reaches production, rather than discovering the gap at two in the morning.
  • State the reconciliation model, the rollback procedure, and the out-of-band change rule in the proposal so clients see the operational commitment.

What to put in the proposal versus what to just do

Clients rarely ask directly whether your gateway configuration lives in Git, but the answer shapes how you should describe the engagement anyway. A proposal that names the reconciliation model explicitly, custom resources synced by Argo, a defined rollback procedure, a same day rule for out of band changes, reads as a more serious operational commitment than one that simply lists Kong or Apigee as a line item.

For a client evaluating multiple consultancies, that level of specificity about how changes actually get made and unmade is often what separates a shop that talks about GitOps from one that actually practices it end to end.

Handling a client who already has a gateway you did not choose

Not every engagement starts from a blank slate. Sometimes a client already runs Apigee, chosen by a previous vendor or an internal decision made before your shop was involved, and the practical question shifts from which gateway to pick to how to bring an existing Apigee deployment under the same GitOps discipline you would otherwise apply to Kong.

That usually means building the Terraform provider integration and sync tooling described above as an early deliverable, rather than proposing a migration to Kong purely on principle. A migration is sometimes the right call later, but leading with it before proving your GitOps approach on the client's current tooling tends to read as a solution looking for a problem.

Executive Capability Standard

What Good Looks Like

A well run GitOps gateway practice can revert any routing or policy change with the same git revert and reconciliation cycle used for every other workload, with no console side exceptions.

Building The Capability (5-Stage Skill Ladder)

1. Learn:Audit whether your current gateway configuration actually lives in Git or has drifted into console only changes over time.
2. Do Manually:Require every gateway change, even urgent ones, to be committed after the fact if it could not be committed before.
3. Delegate:Assign one engineer to own the reconciliation pipeline between your Git repository and whichever gateway product you run for a client.
4. Automate:Model Kong routes, plugins, and consumers as Kubernetes custom resources so Argo or Flux reconciles them natively.
5. Buy:Adopt Apigee's Terraform provider and a dedicated sync pipeline once a client's governance requirements outgrow what Kong's native model covers.

How to Get Started

Disclosure: We may earn a commission if you buy through some links on this page. It doesn't change what we recommend.

CrowdStrike

For a shop running its own ingress controllers and compute clusters behind Kong, CrowdStrike Falcon extends the same GitOps discipline to workload protection rather than leaving it as a separate manual process.

Visit CrowdStrike→

Frequently Asked Questions

Does Kong's Kubernetes ingress controller support the same plugins as standalone Kong?

Most plugins are available through the ingress controller's custom resource definitions, though a few advanced or enterprise only plugins may need direct configuration rather than a native custom resource. Check the specific plugin you need against the ingress controller's current documentation before committing to it for a client build.

Can Apigee configuration be fully managed through Terraform?

Apigee has a Terraform provider covering much of its resource model, including proxies and products, which reduces the console dependency significantly. It does not eliminate the need for a sync step between your Git repository and Apigee's control plane the way a Kubernetes custom resource reconciles natively, so plan for that extra layer.

What is the biggest GitOps mistake teams make with API gateways specifically?

Letting someone make an emergency console change during an incident and never reconciling it back into the Git source of truth. That single drifted change breaks the assumption that the repository reflects reality, and the next deploy either reverts a fix nobody documented or silently keeps drifting further from what is committed.

About the numbers

This guide doesn't quote a sourced benchmark. Figures in it are estimates or general guidance, so check them against your own numbers.

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