Kubernetes & Docker, in production.
Every application we deploy runs in Docker containers orchestrated by Kubernetes. This gives our clients predictable deployments, horizontal scaling, and cloud provider independence.
Containers that scale.
Development, staging, and production run the same containers u2014 and Kubernetes handles the operations layer: scaling on demand, rolling updates with automatic rollbacks, and recovery from failures without manual intervention.
Docker: Consistent Environments
The same containers everywhere.
Identical across environments
Development, staging, and production run the same containers. u201cWorks on my machineu201d is eliminated.
Efficient resource use
Containers are lightweight compared to VMs. Run more workloads on the same infrastructure with faster startup times.
Our approach
Multi-stage Docker builds for optimized production images, separate containers for web, worker, scheduler, and migration tasks, and Docker Compose for local development that mirrors production topology.
Kubernetes: Orchestration at Scale
The operational properties enterprise systems need.
Horizontal auto-scaling
Kubernetes scales pods based on CPU, memory, or custom metrics. Your application handles traffic spikes without over-provisioning during quiet periods.
Zero-downtime deployments
Rolling updates ensure new versions deploy without interruption. If a new version fails health checks, Kubernetes automatically rolls back.
Self-healing
If a container crashes, Kubernetes restarts it. If a node fails, workloads migrate to healthy nodes. Your application stays up without manual intervention.
Service discovery & load balancing
Internal service communication is handled automatically. Each microservice finds and communicates with others through Kubernetes DNS and service abstractions.
Our Kubernetes Stack
The components behind a production-grade cluster.
| Component | Tool | ||||||
|---|---|---|---|---|---|---|---|
| Cluster management | Managed K8s (EKS, GKE, AKS) or self-hostednIngress | Nginx Ingress Controller, TraefiknTLS | cert-manager with Letu2019s EncryptnSecrets | External Secrets Operator + cloud KMSnMonitoring | Prometheus + GrafananLogging | EFK stack (Elasticsearch, Fluentd, Kibana)nCI/CD | GitLab CI, GitHub Actions, ArgoCD |
When We Use Kubernetes
Kubernetes earns its keep when
We recommend it when:
— Your application needs to scale horizontally under variable load
— You’re running multiple services that need independent scaling
— You require zero-downtime deployments and automated rollbacks
— You want to be cloud-agnostic and avoid provider lock-in
Something simpler wins when
Kubernetes is powerful but not always necessary. For simpler deployments, we also work with:
— Docker Compose — local development that mirrors production topology
— AWS ECS and Google Cloud Run — simpler deployment options
Deploy with confidence.
Tell us what you are running u2014 a senior engineer will recommend Kubernetes where it earns its keep, and the simpler option where it does not.