Workload-fit clusters
Choose topology, scheduling and resources around what the applications actually need.
Kubernetes practice
XIVTech helps teams build and operate Kubernetes platforms around workload behavior, delivery paths, security boundaries, observability and day-two ownership.
Delivery context
Kubernetes work spans platform architecture and the operational details that determine whether workloads remain understandable in production.
S / 000 Credibility and delivery context
Kubernetes work spans platform architecture and the operational details that determine whether workloads remain understandable in production.
Cluster decisions tied to workloads
Day-two concerns included early
Delivery, data and observability connected
S / 001 Category coverage
Kubernetes work spans platform architecture and the operational details that determine whether workloads remain understandable in production.
Choose topology, scheduling and resources around what the applications actually need.
Package and release workloads with versioned configuration and clear rollback paths.
Make capacity, observability, security and recovery part of day-two design.
S / 002 Capability areas
The practice connects decisions, implementation and operating context so the result can be maintained by the team that owns it.
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.
S / 003 Workflow
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.
Tune, document and hand over the practices that keep the platform healthy.
Ways to work with us
The same technical practice can be engaged through different responsibility and delivery shapes. Choose the model that matches the work, ownership and stage you are navigating.
Consulting
Consulting for Kubernetes operations: work across clusters and workloads, controllers and operators, service networking with a category-aware engineering path. Scope, ownership and acceptance are agreed with the client before work begins.
Staff Augmentation
Staff Augmentation for Kubernetes operations: work across clusters and workloads, controllers and operators, service networking with a category-aware engineering path. Detailed engagement terms are confirmed during scoping; this page does not promise staffing, coverage, response time or service levels.
On-Call Support
On-Call Support for Kubernetes operations: work across clusters and workloads, controllers and operators, service networking with a category-aware engineering path. Detailed engagement terms are confirmed during scoping; this page does not promise staffing, coverage, response time or service levels.
Outsourcing
Outsourcing for Kubernetes operations: work across clusters and workloads, controllers and operators, service networking with a category-aware engineering path. Scope, ownership and acceptance are agreed with the client before work begins.
Solutions
Solutions for Kubernetes operations: work across clusters and workloads, controllers and operators, service networking with a category-aware engineering path. Scope, ownership and acceptance are agreed with the client before work begins.
Support
Support for Kubernetes operations: work across clusters and workloads, controllers and operators, service networking with a category-aware engineering path. Scope, ownership and acceptance are agreed with the client before work begins.
S / 005 Comparison
Use the category to frame the platform; choose a consulting destination for the specific architecture or workload problem.
S / 006 Delivery standards
These practices keep engineering decisions legible after the engagement ends.
Cluster choices are explained through workload behavior and ownership.
Migration and operations include failure and rollback considerations.
The work connects cluster controls to the teams and services using them.
S / 007 Keep exploring
Start from the practice, then move into the existing service and technology detail that supports it.
S / 008 FAQ
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.
S / 009 Next step
Bring the workload, the platform constraint and the operating concern that is limiting confidence.
Discuss Kubernetes work