Kubernetes & containers: orchestration that scales without locking you in
We containerize your applications with Docker and run them on managed Kubernetes (AKS on Azure or EKS on AWS) with Helm, autoscaling, service mesh, observability and zero-downtime deployments — but only when Kubernetes is the right tool for your case, not because it's trendy.
Containerizing means packaging your application with all its dependencies into a Docker image that runs the same on your laptop, in staging and in production — no more "works on my machine".
Kubernetes orchestrates those containers: it decides which nodes they run on, restarts them if they fail, scales them with demand and exposes them with load balancing. We use your cloud's managed Kubernetes (AKS on Azure, EKS on AWS) so you don't operate the control plane by hand, package your deployments with Helm, configure autoscaling (HPA and cluster autoscaler), a service mesh when needed and full observability. The result is real portability (the same image runs on any cloud), zero-downtime deployments and efficient resource usage. Before getting here we honestly assess whether you need it: for one app and a small team, Kubernetes is often overkill, and we'll tell you so.
Why iTechDev
Fixed budget
Scope and price defined before we start. No hourly billing, no ambiguous scope.
Code 100% yours
All code and configuration are your property from the first commit. No vendor lock-in.
Progress every 2 weeks
Live functional demos each sprint. You see real progress, not a months-long black box.
Engineering with process
CMMI Level 2, 5.0★ on Clutch and 200+ projects. Nearshore team in Monterrey + Texas, in your time zone (CST).
When you need it
What's included
Containerization with Docker
We package your applications into reproducible Docker images: multi-stage Dockerfiles for lightweight images, secure and scanned base images, and a container registry (ACR on Azure, ECR on AWS) as the single source of your artifacts.
Managed Kubernetes cluster (AKS / EKS)
We stand up the cluster on your cloud's managed Kubernetes — AKS on Azure or EKS on AWS — so you don't operate the control plane by hand. We configure node pools, networking, RBAC, secrets and security policies on your own account.
Helm & deployment packaging
We define your deployments as versioned Helm charts parameterized per environment (dev, staging, prod), instead of loose YAML manifests copied by hand. Every release is reproducible and can be rolled back.
Autoscaling (HPA & cluster autoscaler)
We configure horizontal pod autoscaling (HPA) by CPU, memory or custom metrics, and a cluster autoscaler to add or remove nodes based on real load — so you absorb spikes without over-provisioning or paying for idle capacity.
Service mesh & zero-downtime deployments
When the case justifies it, we add a service mesh for secure service-to-service traffic, and configure zero-downtime deployments — rolling updates, and blue-green or canary when you need to release with low risk.
Networking, Ingress & secrets management
We configure traffic ingress (Ingress controller, load balancers, TLS certificates), network policies between pods and secure secret injection from your cloud's store (Key Vault / Secrets Manager), not in plain manifests.
Cluster security & policies
We harden the cluster: least-privilege RBAC, admission policies (Pod Security / OPA), per-namespace resource limits and image scanning in the registry, so a compromised container doesn't become a whole-cluster problem.
Observability & GitOps (ArgoCD)
We leave cluster metrics, logs and traces (Prometheus/Grafana or the cloud-native stack) with alerts, and a GitOps flow with ArgoCD: the cluster state lives in Git, deployments are auditable and the operation is reproducible.
How we work
Assessment: is Kubernetes right for you?
We start with the honest part: we review your applications, team, deployment frequency and scaling needs. If Kubernetes is overkill for your case, we propose a simpler alternative (managed containers, PaaS or VMs) instead of selling you complexity.
Containerization & cluster architecture
We containerize the applications with Docker and design the cluster on your cloud (AKS or EKS): node pools, networking, RBAC, namespaces and secrets strategy, aligned to your security and compliance requirements.
Helm, autoscaling & deployment
We package deployments into per-environment Helm charts, configure HPA and the cluster autoscaler, and get zero-downtime deployments working. We validate in staging before touching production.
Observability, GitOps & hardening
We wire up metrics, logs, traces and alerts, set up the GitOps flow with ArgoCD and harden cluster security (policies, resource limits, image scanning). We test the failure modes: what happens when a node or pod goes down.
Operation & handover
We deliver on your own infrastructure, with runbooks and documentation. We train your team to operate the cluster or continue with managed support — no vendor lock-in: the configuration (IaC, charts, GitOps) is 100% yours.
Tech stack
The tools and platforms we build it with — chosen for your problem, not for hype.
Frequently asked questions
Do I need Kubernetes or is it overkill for my case?
Often it's overkill, and we'll tell you straight. If you have one or two applications, a small team and infrequent deployments, simpler options like managed containers (Azure Container Apps, AWS App Runner / ECS Fargate) or even a PaaS are usually cheaper to operate and maintain. Kubernetes shines when you have several services that scale independently, frequent deployments, a need for multi-cloud portability or pronounced traffic spikes. We decide this during the initial assessment on your real case rather than assuming the answer.
AKS on Azure or EKS on AWS? Which do I pick?
Usually the answer is "wherever the rest of your infrastructure already lives and your team has experience", so you don't fragment the operation. AKS fits if you already live in Azure (Entra ID, Azure Monitor, ACR integration); EKS if your ecosystem is AWS (IAM, CloudWatch, ECR). Both are standard Kubernetes, so your containers and Helm charts are portable between them — that's precisely one of the benefits. If you have no cloud defined yet, we evaluate it together with costs and your future strategy.
How much does it cost to run Kubernetes and what does it consume?
The main cost is the compute nodes (the VMs behind the cluster) plus the managed control-plane charge, which on AKS and EKS is low or zero depending on the tier. We won't give you a made-up saving: with autoscaling and scaling to zero what isn't used, you can cut idle capacity versus fixed, over-provisioned VMs, but the real saving depends on your workload. We estimate it on your actual numbers during the assessment, not with generic percentages. All infrastructure runs and is billed on your own cloud account.
Who manages and operates the cluster afterward?
You decide. We deliver the cluster on your own account with infrastructure as code, Helm charts and GitOps (ArgoCD), train your team and leave runbooks so they can operate it on their own. If you'd rather not carry the operation, we keep managing it with ongoing support. Either way there's no vendor lock-in: all the configuration is yours and reproducible from Git.
How do you achieve zero-downtime deployments?
With Kubernetes rolling updates as the baseline: new pods come up and are verified (readiness probes) before the old ones are retired, so there's no cut. For higher-risk changes we configure blue-green or canary, which release to a fraction of traffic and let you roll back instantly if something fails. We combine this with observability and alerts to catch problems before they escalate, and validate everything in staging before production.
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