Cloud-native
app development.

Microservices, Kubernetes, serverless, and event-driven architecture — elastic, resilient, and operable.

Brief us See work
What we build

We build cloud-native applications on containers and serverless — microservices with clear boundaries, Kubernetes platforms, event-driven decoupling, and the observability to run them.

Problem · approach · outcome.

How we run this kind of work
01 · Problem

Cloud-native is easy to do badly.

Microservices without boundaries become a distributed monolith — all the complexity, none of the benefit. Kubernetes without discipline becomes a cost and operations sink.

02 · Approach

Boundaries first, platform second.

Domain-driven service boundaries, Kubernetes or serverless based on the workload, event-driven decoupling where it pays back, and a platform-engineering approach so teams ship without fighting infrastructure.

03 · Outcome

Cloud-native that earns its complexity.

Services that scale independently, fail in isolation, and deploy continuously — with the operations discipline to keep them healthy.

What we ship.

6 modules · extensible
F-01

Microservices

Domain-driven boundaries, not arbitrary splits. Service mesh where the topology needs it.

F-02

Kubernetes

EKS / AKS / GKE platforms with RBAC, network policy, and cost controls.

F-03

Serverless

Lambda / Functions for event-driven and spiky workloads.

F-04

Event-driven

Kafka / EventBridge / NATS for decoupled, replayable architectures.

F-05

CI/CD

GitOps with ArgoCD / Flux and progressive delivery.

F-06

Observability

OpenTelemetry, Prometheus, Grafana, and SLO-driven operations.

Tech stack.

Production-tested
Orchestration
KubernetesHelmIstio
Serverless
LambdaFargateKnative
Events
KafkaEventBridgeNATS
GitOps
ArgoCDFluxTerraform

Cloud-native
done right?

Cloud practice · cloud-native
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Cloud-native app development FAQs.

Q-01Do we need Kubernetes?
Not always — serverless is simpler for many workloads. We recommend based on scale, team, and operational appetite.
Q-02Microservices or monolith?
Boundaries should be real. We have rescued many premature-microservices projects. Sometimes a modular monolith is right.
Q-03Service mesh?
Only when the topology justifies it — Istio / Linkerd add operational overhead.
Q-04Who operates it after?
You, or us — see cloud operation management and DevOps.

Related across the cluster.