Observability
Metrics, logs and traces that help teams understand cluster and application behavior.
Kubernetes practice / Madrid
Operate Kubernetes responsibly for customer-facing digital products in Madrid.
Kubernetes should support frequent releases and variable demand without allowing cluster complexity to become a second product the application team must own. In Madrid, this connects directly to integration patterns for national and international operations.
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 Madrid
Organizations in Spain are modernizing customer services, industrial operations and public-facing platforms while working within European data, security and accessibility expectations.
Madrid's concentration of corporate, financial, public and technology activity creates systems with many organizational boundaries. Platform consistency and clear data ownership reduce friction across them.
Finance, telecoms, aerospace, mobility, media, public services and life sciences create varied requirements for data, resilience and integration.
Kubernetes should support frequent releases and variable demand without allowing cluster complexity to become a second product the application team must own.
- Workload boundary
- Governed cloud foundations for enterprise and regulated workloads
- Cluster control
- Data and AI delivery with measurable quality and lineage
- Day-two operation
- Integration patterns for national and international operations
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
The working model can align a specific platform outcome with local decision makers while keeping delivery legible to wider European stakeholders. For Kubernetes, the initial scope should stay anchored to integration patterns for national and international operations.
ConsultingADVISORY
Opinions, reviews, and focused direction.
ExploreStaff AugmentationEMBEDDED
Ongoing capacity in your engineering team.
ExploreOn-Call SupportON-CALL
Incidents, rotations, and production response.
ExploreOutsourcingDELIVERY
Roadmaps with clear delivery ownership.
ExploreSolutionsPROJECT
Plan and deliver a defined technical outcome.
ExploreSupportCARE
Ongoing engineering care and improvement.
ExploreQuestions answered
Kubernetes questions, answered
A short set of practical questions to clarify the first conversation.
How should changing customer demand shape Kubernetes work in Madrid?
Kubernetes should support frequent releases and variable demand without allowing cluster complexity to become a second product the application team must own. Scope should begin with the systems, owners and evidence connected to integration patterns for national and international operations.
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 Madrid.
Start with integration patterns for national and international operations and the technical or organizational boundary that makes it difficult today.