Kubernetes Development

Orchestrate containers with Kubernetes experts

Deploy and manage containerized applications at scale with Kubernetes specialists. Our DevOps engineers build resilient, self-healing infrastructure that automates deployment, scaling, and operations of application containers.

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Kubernetes request path and control planeAn ingress controller matches host rules and forwards to a Service, which resolves endpoints to Pods. Separately, a Deployment reconciles Pods through a ReplicaSet, the kubelet reports node and pod status to the API server and starts containers over the CRI, the scheduler binds unscheduled Pods, and the API server persists cluster state to etcd on port 2379.IngressWorkloadControl planehost rulesendpointsreplicasetCRInode status2379bindIngresshost + path rulesServiceClusterIPDeploymentdesired replicasPodscheduled to nodekubeletper nodeetcdcluster stateAPI Serveradmission chainSchedulerfilter + score[1] solid: request path[2] dashed: control path[3] one cluster, many nodes

Why teams build on Kubernetes

Expert Kubernetes developers who orchestrate scalable container infrastructure

Scoped in writing

What we are building, what we are deliberately not building, and how we will know it works — agreed before the first commit rather than discovered in the third month.

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Built to be handed over

Code, documentation and the reasoning behind decisions are written for whoever inherits them. Handover is designed in from the start, not assembled at the end.

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Production from day one

Tests, CI and observability are part of the first sprint. Nothing ships that cannot be deployed, monitored and rolled back.

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You own all of it

Source, infrastructure and accounts are yours throughout. No proprietary layer, no dependency on us to keep it running.

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Direct access

You talk to the people writing the code. Questions get answered by whoever made the decision, not relayed through an account layer.

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Scope that can change

Priorities move. The engagement is structured so that is a conversation about sequence, not a change order.

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The Kubernetes ecosystem we work across

The parts of the Kubernetes ecosystem we build with

Kubernetes Core

  • •Pods, Deployments & StatefulSets
  • •Services & Ingress configuration
  • •ConfigMaps & Secrets management
  • •Resource quotas & limits
  • •RBAC & security policies

Cluster Management

  • •Cluster provisioning (kubeadm, kops)
  • •Node management & autoscaling
  • •Networking (CNI, service mesh)
  • •Storage (PV, PVC, StorageClasses)
  • •High availability setup

DevOps & Tools

  • •Helm charts & package management
  • •CI/CD integration (ArgoCD, Flux)
  • •Monitoring (Prometheus, Grafana)
  • •Logging (ELK, Loki)
  • •GitOps workflows

Cloud Platforms

  • •AWS EKS deployment
  • •Azure AKS management
  • •Google GKE optimization
  • •Multi-cluster management
  • •Cost optimization strategies

How We Deliver Kubernetes Development

The same Kubernetes work, structured three ways. Which one fits depends on how much of the problem is already defined.

Delivery Models
Software Staff
Augmentation
Dedicated Outsourced
Development Team
Software Project
Management & Delivery
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Roles on a Kubernetes Project

The people a Kubernetes project usually needs, and what each of them owns.

Kubernetes Developer

Builds the pipelines, environments and automation teams ship through, using Kubernetes.

Platform Engineer

Builds the internal platform, environments and paved paths that teams deploy through.

Site Reliability Engineer

Defines the service objectives, monitoring and on-call runbooks that keep production healthy.

Security Engineer

Hardens the supply chain, secrets handling and access boundaries across the pipeline.

Release Engineer

Owns the build, artefact and rollout mechanics, including how a bad release is rolled back.

Why teams choose Jishu Labs for Kubernetes

What working with us on infrastructure actually looks like

Rapid Time-to-Market

Launch your infrastructure sooner with our experienced Kubernetes developers and proven development process.

Production-Ready Quality

Apps built with best practices, comprehensive testing, and performance optimization from day one.

Scalable Architecture

Future-proof solutions designed to grow with your user base and business needs.

Ongoing Support

Continuous maintenance, updates, and feature enhancements to keep your app competitive.

Seamless Integration

Our developers integrate smoothly with your existing team and workflows.

Deep Expertise

Years of Kubernetes experience across diverse industries and use cases.

Systems we build with Kubernetes

Representative systems we build with Kubernetes. These describe the kind of work the stack supports, not delivered client projects.

E-Commerce Mobile App

Retail

Build a scalable shopping app, enabling customers to browse, purchase, and track orders seamlessly on multiple platforms.

Healthcare Patient Portal

Healthcare

Develop a HIPAA-compliant infrastructure allowing patients to book appointments, access medical records, and communicate with healthcare providers.

Fintech Investment App

Finance

Create a real-time stock trading and portfolio management app with advanced charts, alerts, and secure transactions.

AI Tools We've Shipped

Kozo

Describe your app in plain English and get a normalized, indexed, production-ready Postgres schema — with a live ER diagram, multi-format export, health scoring, sample data, and migrations.

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Shivo

Turn an idea into clear PRDs, specs, and requirements — with quality linting, acceptance criteria, review workflows, and version diffs.

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Keisan

Turn a project brief into a defensible, itemized cost and timeline estimate — with rate cards, scenario modeling, margins, and client-ready proposals.

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Kiku

Record or upload conversations and get accurate transcripts, speaker labels, summaries, and action items — searchable across every meeting.

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Kioku

Capture the decisions your team makes and the reasoning behind them — structured ADRs, semantic search, and a decision timeline so context is never lost.

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Sensei

Understand and review code with an AI mentor — multi-dimensional analysis, quality scoring, and best-practice guidance for any codebase.

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Michi

Turn any goal into a personalized, step-by-step learning roadmap — with curated resources, milestone tracking, prerequisites, and skill assessments.

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Jumbi

Assess your AI readiness across security, code quality, and coverage — with a scorecard, gap analysis, a prioritized action plan, and peer benchmarks.

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Frequently Asked Questions about Kubernetes Development

More in DevOps & Infrastructure

Containers, orchestration and CI/CD that get code to production.

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