Observability
Metrics, logs and traces that help teams understand cluster and application behavior.
Kubernetes practice / Vancouver
Operate Kubernetes responsibly for research-led technology in Vancouver.
Kubernetes can provide repeatable compute environments for data and research workloads when scheduling, storage and production handoff are designed together. In Vancouver, this connects directly to data platforms for research, content and operational workloads.
What this practice covers
What Kubernetes covers
Kubernetes work spans platform architecture and the operational details that determine whether workloads remain understandable in production.
Kubernetes priorities in Vancouver
Canadian organizations often balance national scale, cross-border dependencies, privacy expectations and teams distributed across several regional technology centres.
Vancouver combines research-led companies, digital content, high-tech services and a major Pacific logistics gateway. Engineering teams benefit from platforms that make distributed collaboration, data movement and production ownership explicit.
Digital media, visual effects, life sciences, software, clean technology and logistics each depend on different combinations of compute, data and collaboration.
Kubernetes can provide repeatable compute environments for data and research workloads when scheduling, storage and production handoff are designed together.
- Workload boundary
- Cloud delivery that works across distributed product teams
- Cluster control
- Data platforms for research, content and operational workloads
- Day-two operation
- Reliable services connecting North American and Pacific workflows
What that gives your team
- Workload-fit clusters
- Repeatable delivery
- Operational confidence
Cluster architecture
Networking, control-plane, node and tenancy choices for the workload mix.
Workload migration
A staged path for packaging, deployment and validation.
GitOps delivery
Desired-state workflows with reviewable changes and recovery options.
Security and policy
Identity, secrets, admission and workload boundaries made explicit.
Data on Kubernetes
Database and storage concerns addressed with operational context.
How it works
How Kubernetes work moves
Reliable Kubernetes work joins platform design with the application and operating practices around it.
01
Inventory
Map workloads, dependencies, traffic, storage and team ownership.
02
Design
Choose cluster and workload patterns that fit the reliability and delivery needs.
03
Migrate
Move representative workloads with observable checkpoints and rollback options.
Engagement models
Choose how we work together
Engagements can be shaped around a bounded modernization goal, an embedded capability gap or a longer operating transition across Canadian stakeholders. For Kubernetes, the initial scope should stay anchored to data platforms for research, content and operational workloads.
ConsultingADVISORY
Opinions, reviews, and focused direction.
ExploreStaff AugmentationEMBEDDED
Ongoing capacity in your engineering team.
On-Call SupportON-CALL
Incidents, rotations, and production response.
OutsourcingDELIVERY
Roadmaps with clear delivery ownership.
SolutionsPROJECT
Plan and deliver a defined technical outcome.
SupportCARE
Ongoing engineering care and improvement.
Questions answered
Kubernetes questions, answered
A short set of practical questions to clarify the first conversation.
How should research and experimentation workflows shape Kubernetes work in Vancouver?
Kubernetes can provide repeatable compute environments for data and research workloads when scheduling, storage and production handoff are designed together. Scope should begin with the systems, owners and evidence connected to data platforms for research, content and operational workloads.
Do you work with existing Kubernetes clusters?
Yes. The first step is understanding the current workloads, constraints and ownership before deciding whether to tune, migrate or redesign.
Does Kubernetes work include application changes?
It can include packaging, configuration and delivery changes needed to operate the workload, with boundaries agreed for the engagement.
Can Kubernetes include database workloads?
The existing CloudNativePG service provides evidence for PostgreSQL on Kubernetes; database-specific scope remains explicit.
Is Kubernetes On-Call Support currently offered?
No public On-Call route is currently offered. The category contains a draft model record only until coverage evidence exists.
Next step
Clarify the next Kubernetes improvement in Vancouver.
Start with data platforms for research, content and operational workloads and the technical or organizational boundary that makes it difficult today.