Containerisation & packaging
Dockerfiles that are small, reproducible and secure; Helm charts or Kustomize overlays per environment; image scanning and signing.
Service 03 — Kubernetes Migration
Kubernetes your platform team can actually run.
Containerise what you have, split only what should be split, and land it on EKS, AKS or GKE with GitOps delivery, autoscaling, security policy and observability built in.
The platform
Six layers, delivered as code.
What a Synkrith Kubernetes platform includes on day one — so teams ship services instead of fighting YAML.
- 01
Developer experience
Golden-path templates, environment previews, self-service docs
- 02
Delivery
GitOps with ArgoCD or Flux, progressive rollouts, automatic rollback
- 03
Security & policy
RBAC, workload identity, Kyverno / OPA policies, external secrets, image signing
- 04
Observability
Prometheus, Grafana, Loki, Tempo, OpenTelemetry, SLO dashboards, paging on symptoms
- 05
Networking
Ingress, service mesh (Istio / Linkerd), network policies, DNS and certificates automated
- 06
Cluster foundation
EKS / AKS / GKE, node pools, Karpenter autoscaling, upgrades, multi-cluster strategy
What we deliver
Platform capabilities.
Cluster platform design
Topology, node pools, autoscaling, networking, ingress and multi-cluster strategy for EKS, AKS or GKE.
GitOps delivery
ArgoCD or Flux, environment promotion, canaries and automatic rollback.
Service mesh & networking
mTLS, traffic shaping and resilience with Istio or Linkerd; network policies; DNS and certificate automation.
Observability
Metrics, logs and traces with SLO dashboards and alerting that pages on symptoms, not noise.
Security & policy
Admission policies, secrets via Vault, runtime detection with Falco, supply-chain controls.
How it runs
Platform first, then migrate.
- 01
Assess
Inventory, statefulness, dependencies — and a candid view of what shouldn't move.
1–2 wks - 02
Platform build
Clusters, GitOps, observability and policy as code, with a golden-path template.
3–5 wks - 03
Containerise
Apps packaged, config externalised, health checks and limits set, images scanned.
per app - 04
Migrate
Service-by-service cut-over with traffic shifting, parallel runs and rollback.
per wave - 05
Operate
Runbooks, on-call handover, cost controls and upgrade cadence.
ongoing
Design
Split what should be split. Keep the rest together.
A well-packaged monolith on Kubernetes with good delivery is often the right first step. We decompose services only when there's a scaling or ownership reason.
- Stateful workloads handled deliberately
- Managed databases where they belong
- Operators only when justified
Run
Boring operations are the goal.
Upgrades on a schedule, autoscaling that saves money, and alerts that page on user-facing symptoms — so the platform fades into the background.
- Quarterly version upgrades
- Karpenter / cluster autoscaler tuned
- SLO-based alerting
Golden path
What a new service gets on day one.
- Repository template with CI pipeline
- Helm chart with sane defaults
- Preview environment per pull request
- Secrets wired through external-secrets
- Dashboards and SLO alerts
- Network policy and mTLS
- Image scanning and signing
- Runbook skeleton and on-call routing
Before / after
What changes for your teams.
| Before | After |
|---|---|
| Deploys via SSH and tickets | Merge to main, watch the rollout |
| Snowflake servers | Immutable images, declarative manifests |
| Secrets in config files | Secrets from Vault via external-secrets |
| Alerts on CPU | Alerts on latency and error budgets |
| Scaling by buying servers | Autoscaling with cost limits |
| One person knows how it works | Documented golden path, shared ownership |
Tooling
The stack we standardise on.
- Kubernetes
- Amazon EKS
- Azure AKS
- Google GKE
- Helm
- Kustomize
- ArgoCD
- Flux
- Istio
- Linkerd
- Cilium
- Karpenter
- Prometheus
- Grafana
- Loki
- Tempo
- OpenTelemetry
- Kyverno
- External Secrets
- Vault
- Falco
- Trivy
- Cosign
Principles
How we build platforms.
- 01
Paved road, not a cage
Defaults that are easy to follow and possible to leave.
- 02
Everything declarative
If it isn't in git, it doesn't exist.
- 03
Security is a platform feature
Policies, identity and secrets are wired once, for everyone.
- 04
Observe the user, not the node
SLOs and error budgets over CPU graphs.
- 05
Upgrade continuously
Small, scheduled version bumps instead of painful jumps.
- 06
Cost is a first-class metric
Right-sizing and autoscaling are part of done.
FAQ
Kubernetes questions.
- 01
Do we need microservices to use Kubernetes?
No. A well-packaged monolith on Kubernetes with good delivery is often the right first step.
- 02
Can you migrate stateful workloads and databases?
Yes, but deliberately. Managed database services are usually the better home; where Kubernetes is right we use operators and tested backup/restore.
- 03
Will our developers need to become Kubernetes experts?
No. The golden path abstracts most of it: a template, a pipeline and a dashboard.
- 04
Which managed Kubernetes should we use?
Usually the one on the cloud you already run. We build the same platform on EKS, AKS or GKE.
- 05
How do you control cost?
Right-sized requests, autoscaling, spot capacity where safe, and per-team cost visibility with Kubecost or native tooling.
Let's build
Ready for a platform your team can run?
Tell us what you run today. We'll come back within one business day with a platform review and next steps.
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