Observability
Metrics, logs and traces that help teams understand cluster and application behavior.
Kubernetes practice / Wellington
Kubernetes needs enforceable tenancy, workload identity, policy evidence and controlled upgrade paths when services carry regulated data or critical transactions. In Wellington, this connects directly to secure data handling across institutional boundaries.
What this practice covers
Kubernetes work spans platform architecture and the operational details that determine whether workloads remain understandable in production.
New Zealand organizations often need resilient digital services that serve a geographically distributed market while making efficient use of focused engineering teams.
Wellington's public-sector, finance, research and creative communities depend on systems that communicate decisions clearly. Engineering quality includes accessibility, security, continuity and maintainable ownership.
Government, financial services, research, film and digital media create a distinctive mix of accountability and creative technology.
Kubernetes needs enforceable tenancy, workload identity, policy evidence and controlled upgrade paths when services carry regulated data or critical transactions.
What that gives your team
Networking, control-plane, node and tenancy choices for the workload mix.
A staged path for packaging, deployment and validation.
Desired-state workflows with reviewable changes and recovery options.
Identity, secrets, admission and workload boundaries made explicit.
Metrics, logs and traces that help teams understand cluster and application behavior.
Database and storage concerns addressed with operational context.
How it works
Reliable Kubernetes work joins platform design with the application and operating practices around it.
Map workloads, dependencies, traffic, storage and team ownership.
Choose cluster and workload patterns that fit the reliability and delivery needs.
Move representative workloads with observable checkpoints and rollback options.
Engagement models
A compact consulting or delivery team can address a defined constraint while transferring decisions and operating knowledge back to New Zealand stakeholders. For Kubernetes, the initial scope should stay anchored to secure data handling across institutional boundaries.
Opinions, reviews, and focused direction.
ExploreOngoing capacity in your engineering team.
ExploreIncidents, rotations, and production response.
ExploreRoadmaps with clear delivery ownership.
ExplorePlan and deliver a defined technical outcome.
ExploreOngoing engineering care and improvement.
ExploreQuestions answered
A short set of practical questions to clarify the first conversation.
Kubernetes needs enforceable tenancy, workload identity, policy evidence and controlled upgrade paths when services carry regulated data or critical transactions. Scope should begin with the systems, owners and evidence connected to secure data handling across institutional boundaries.
Yes. The first step is understanding the current workloads, constraints and ownership before deciding whether to tune, migrate or redesign.
It can include packaging, configuration and delivery changes needed to operate the workload, with boundaries agreed for the engagement.
The existing CloudNativePG service provides evidence for PostgreSQL on Kubernetes; database-specific scope remains explicit.
No public On-Call route is currently offered. The category contains a draft model record only until coverage evidence exists.
Next step
Start with secure data handling across institutional boundaries and the technical or organizational boundary that makes it difficult today.
Available in New Zealand