Observability
Metrics, logs and traces that help teams understand cluster and application behavior.
Kubernetes practice
XIVTech helps teams build and operate Kubernetes platforms around workload behavior, delivery paths, security boundaries, observability and day-two ownership.
What this practice covers
Kubernetes work spans platform architecture and the operational details that determine whether workloads remain understandable in production.
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
Choose the working shape that best fits your kubernetes priorities and team.
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.
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
Bring the workload, the platform constraint and the operating concern that is limiting confidence.