Kubernetes Gateway API consulting and hands-on support
Kubernetes Gateway API consulting services to help teams standardize Kubernetes traffic routing with governed GatewayClass, Gateway, and HTTPRoute resources, consistent ingress policies, safer application delivery, and clearer ownership across platform and application teams. We deliver Gateway API assessment, resource and controller architecture, implementation and migration from Ingress, GitOps and CI/CD integration, routing and policy observability, security and governance controls, upgrade planning, and operational runbooks.
Last updated
- 4.9/5 on Clutch
- Top 0.7% of DevOps engineers
- Billed by the hour, no lock-in

- Consulting
- Hands-on work
- Architecture
Trusted by teams shipping production infrastructure



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The hard part
Finding great Kubernetes Gateway API help is its own project
Hiring a strong Kubernetes Gateway API engineer, for the hours you actually need, is slow, risky, and expensive. Here is what teams keep running into.
Months wasted hunting for a specialist who actually knows Kubernetes Gateway API.
The wrong hire after weeks of interviews and onboarding.
Full-time cost when the workload is genuinely part-time.
Tech debt compounds while Kubernetes Gateway API sits half-finished between sprints.
The roadmap stalls every time Kubernetes Gateway API work lands on the wrong desk.
From first message to shipped Kubernetes Gateway API work
Starting is light and reversible. You see the plan and meet your engineer before a single hour is billed. Here is the whole path.
- 1
Tell us what you need
A short call to understand your current Kubernetes Gateway API setup, the constraints, and the result you are after.
- 2
We shape the plan
You get a written Kubernetes Gateway API work plan: the approach, the trade-offs, and the first steps, adjusted around your input.
- 3
Meet your engineer
We match you with the senior engineer on our team best suited to your Kubernetes Gateway API work. No hour is billed before this.
- 4
We do the work
Your engineer joins the team, ships the hands-on Kubernetes Gateway API work, and keeps consulting you at every step.
Runs throughout, start to finish
- Shared Slack channelWhere we update and discuss the work, day to day.
- Weekly syncsA standing cadence to review progress, blockers, and the next steps, with a written summary.
- Pay as you goUse as many hours as you need. No retainer, no lock-in.
- Free architect inputAn architect from our team joins the discussions to enrich the plan, at no charge.
A conversation first. You decide whether to go further.
Embedded in your team, not an agency over the wall
Your Kubernetes Gateway API engineer joins your team and your tools and works alongside you, with the rest of ours on call behind them.
- Your engineer
Everything in our Kubernetes Gateway API service
Consulting and hands-on work from the same senior engineer, billed by the hour.
A senior Kubernetes Gateway API expert advising you
We hire 7 engineers out of every 1,000 we vet, so you get the top 0.7% of Kubernetes Gateway API experts.
A custom Kubernetes Gateway API plan that fits your company
A flexible process turns your goals into a custom Kubernetes Gateway API work plan built around your requirements.
You pay only for the hours worked
Use as many hours as you like, zero, a hundred, or a thousand. It is completely flexible.
The same expert does the hands-on Kubernetes Gateway API work
Our Kubernetes Gateway API service goes past advice: the person consulting you joins your team and does the hands-on work.
Perspective from many Kubernetes Gateway API setups
Our experts have worked with many companies and seen plenty of Kubernetes Gateway API setups, so they bring real perspective on yours.
An architect's input on the Kubernetes Gateway API decisions
On top of your Kubernetes Gateway API expert, an architect from our team joins the discussions to enrich the plan.
Teams that stopped firefighting
The same senior engineers, on real production work. A recent study, and what clients say once the dust settles.

Import multiple high-scale Kubernetes Clusters into Pulumi
How we organized infrastructure management of a high-scale system in the cloud by utilizing Pulumi and standardizing environment creation
- Pulumi
- Kubernetes
- TypeScript
Thanks to MeteorOps, infrastructure changes have been completed without any errors. They provide excellent ideas, manage tasks efficiently, and deliver on time. They communicate through virtual meetings, email, and a messaging app. Overall, their experience in Kubernetes and AWS is impressive.
Good consultants execute on task and deliver as planned. Better consultants overdeliver on their tasks. Great consultants become full technology partners and provide expertise beyond their scope. I am happy to call MeteorOps my technology partners as they overdelivered, provide high-level expertise and I recommend their services as a very happy customer.
Tell us about your Kubernetes Gateway API project
A couple of lines is enough. We come back with a quick read on the work, a rough shape of the plan, and the senior engineer who fits.
- A senior engineer reads it, not a sales rep
- We reply within a few hours
- Billed by the hour if you go ahead, no lock-in
Free self-assessment
Not sure what your Kubernetes Gateway API setup needs first?
Start by scoring the delivery system around it. Answer 12 questions about how your team builds, ships, and runs software, and get a maturity level, scores across six dimensions, and a prioritized action plan in about 3 minutes. No sales call attached.
Free, instant results, no account needed. Progress saves in your browser.
Your scored report
Where does your team land?
- Ad-hoc
- Repeatable
- Defined
- Measured
- Optimizing
Scored across six dimensions
- CI/CD
- Infrastructure
- Observability
- Reliability
- Security
- Culture & DevEx
A bit about Kubernetes Gateway API
Things you need to know about Kubernetes Gateway API before choosing a consulting partner.

What is Kubernetes Gateway API?
Kubernetes Gateway API is a Kubernetes API for defining and governing traffic entry into clusters through structured resources such as GatewayClass, Gateway, and HTTPRoute. It separates infrastructure ownership from application routing, allowing platform teams to define supported gateway implementations while application teams manage routes within approved boundaries. It complements the broader Kubernetes platform rather than requiring every team to configure vendor-specific ingress objects.
Teams use Gateway API in platform engineering, DevOps, and SRE workflows to standardize HTTP and other supported traffic patterns across clusters and environments. A practical implementation can combine GitOps or CI/CD validation, namespace and RBAC controls, TLS management, route policy checks, and observability for backend health and request behavior. The same operating model can apply to managed environments such as Azure Kubernetes Service, provided the selected gateway controller supports the resources and features you require.
- Resource ownership: GatewayClass and Gateway resources can remain under platform-team control while application teams manage permitted HTTPRoute resources for their services.
- Traffic governance: Route definitions provide a consistent place to review hostnames, paths, backend references, filters, and other traffic rules before deployment.
- Safer delivery: Teams can validate manifests in CI, enforce policy through admission controls, and promote routing changes through GitOps workflows.
- Security controls: Platform operators can standardize listener configuration, TLS termination, namespace permissions, and approved gateway implementations across environments.
- Operational visibility: Gateway metrics, access logs, events, and distributed tracing help SRE teams investigate failed routes, unhealthy backends, and configuration changes.
- Day-2 operations: A production design should document controller upgrades, compatibility testing, rollback procedures, certificate rotation, ownership boundaries, and runbooks for gateway failures.
Why use Kubernetes Gateway API?
Teams use Kubernetes Gateway API when they need structured, governed traffic routing with clearer ownership between platform engineers and application teams.
- Clear separation of responsibilities: Platform teams can define approved
GatewayClassimplementations and sharedGatewayresources, while application teams manage their ownHTTPRouteobjects. This reduces the need to edit one shared ingress configuration for every service change. - More precise routing rules:
HTTPRoutesupports host, path, header, and method matching, along with traffic weighting and request filtering. Teams can express application routing requirements without relying on provider-specific annotations scattered across manifests. - Governed multi-team access: Kubernetes RBAC and Gateway API attachment rules help control which namespaces can attach routes to a shared Gateway. Platform teams can provide approved entry points while application teams retain ownership of service-level routing.
- Safer TLS management: A Gateway can define listener ports, protocols, hostnames, and TLS configuration in a consistent resource model. Teams can standardize certificate references, listener naming, and ownership rules across environments instead of configuring each ingress controller differently.
- More repeatable delivery: Gateway API resources can be stored in Git and applied through the same CI/CD or GitOps workflows as other Kubernetes resources. Pull requests can review route changes, policy updates, and environment differences before they reach a cluster.
- Better operational feedback: Gateway API status conditions report whether resources are accepted, programmed, or affected by configuration problems. Operators can use these conditions with controller logs and existing monitoring to identify invalid routes, unavailable backends, and listener conflicts.
- More consistent platform design: The resource model gives teams a common interface while allowing the underlying implementation to vary by cluster or environment. This is useful when standardizing traffic management across Kubernetes clusters, including environments based on Azure Kubernetes Service.
Why get our help with Kubernetes Gateway API?
Our practical experience with Kubernetes Gateway API helps clients design and operate governed traffic entry for Kubernetes workloads, with clearer ownership across platform and application teams, safer routing changes, consistent TLS and policy controls, and stronger day-2 operations. We support teams running Kubernetes and managed platforms such as Azure Kubernetes Service with senior engineering capacity billed by the hour, without a retainer, lock-in, or fixed-price promise.
Some of the things we did include:
- Assessing existing Ingress, Gateway API, controller, DNS, and certificate-management patterns to identify migration risks, ownership gaps, and inconsistent routing policies.
- Designing reference architectures for GatewayClass, Gateway, HTTPRoute, and related resources, with clear boundaries between platform infrastructure and application configuration.
- Implementing Gateway API resources through Terraform, Helm, or GitOps workflows, with environment overlays, review controls, and repeatable promotion between environments.
- Planning and executing migrations from legacy Ingress resources, including route compatibility checks, phased cutovers, rollback procedures, and validation of application traffic.
- Configuring TLS termination, hostname and path routing, cross-namespace access, backend references, and policy guardrails that match your security and governance requirements.
- Integrating routing changes with CI/CD pipelines and policy checks so invalid manifests, unauthorized ownership changes, and unsafe configuration updates are detected before deployment.
- Improving observability with access logs, metrics, tracing, health checks, and actionable alerts for rejected routes, certificate failures, backend errors, and controller issues.
- Creating runbooks for incident response, controller upgrades, certificate rotation, troubleshooting, and knowledge transfer so your team can maintain Gateway API operations after implementation.
How can we help you with Kubernetes Gateway API?
Some of the things we can help you do with Kubernetes Gateway API include:
- Assess your current traffic entry architecture: Review ingress controllers, load balancers, Gateway API adoption, GatewayClass implementations, TLS configuration, HTTPRoute resources, cross-namespace references, ownership boundaries, and operational workflows, then deliver a prioritized findings report and roadmap.
- Design a Gateway API architecture: Define how platform and application teams will use GatewayClass, Gateway, HTTPRoute, ReferenceGrant, and related resources, with clear responsibilities for shared infrastructure, application routing, certificates, and policy management alongside your Kubernetes platform.
- Implement governed traffic routing: Configure Gateway API resources for host-based routing, path matching, header matching, redirects, rewrites, traffic splitting, and backend references, with conventions that keep routing changes reviewable and consistent across environments.
- Automate Gateway API delivery: Create reusable manifests, Helm values, or infrastructure code for GatewayClass and Gateway resources, and integrate validation into pull requests and deployment workflows so configuration errors are detected before they reach a cluster.
- Integrate Gateway API with CI/CD or GitOps: Organize environment-specific HTTPRoute configuration, define promotion and rollback procedures, and connect routing changes to your existing deployment process, including platforms based on Azure Kubernetes Service where applicable.
- Strengthen security and governance: Review TLS termination, certificate management, namespace boundaries, cross-namespace references, allowed routes, admission controls, and policy enforcement, then document guardrails that protect shared gateways without blocking application teams.
- Improve routing observability: Define metrics, logs, traces, health checks, and alerts for Gateway and HTTPRoute behavior, including rejected routes, backend errors, TLS failures, latency, status-code changes, and configuration drift.
- Plan migrations and upgrades: Assess a move from Ingress resources or controller-specific annotations to Gateway API, map existing routing behavior to portable resources, identify implementation-specific gaps, and prepare staged migration and rollback plans for controller or cluster upgrades.
- Support day-2 operations: Produce runbooks for route changes, certificate rotation, failed deployments, backend health issues, policy violations, incident response, and routine reviews, and work with your team to troubleshoot and refine the operating model after implementation.
Keep exploring
Explore more technologies
Other tools and platforms our engineers work with, alongside Kubernetes Gateway API.
GCPProvides scalable cloud infrastructure and managed services for secure, cost-efficient GCP operations
SnowflakeCentralizes cloud data warehousing and analytics for governed, scalable performance and cost controlAnsibleAutomates configuration management and application deployments to improve consistency and reduce toil
Azure Landing ZoneSets up and governs secure Azure landing zones for compliant cloud operations
External Secrets OperatorSyncs external secrets into Kubernetes, reducing credential exposure and configuration drift for GitOps teams
Flux CDAutomates Git-driven Kubernetes deployments, continuously reconciling state to prevent drift