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Cloud · Compute

Kubernetes
Compute — Cloud

Kubernetes is the orchestration standard for cloud-native applications — automating deployment, scaling and resilience of containerized workloads at any scale.

Zero Trust Automation Observability AI-Driven
Technologies & Vendors

Technologies available for this scope

GCP
AWS
Azure
Current Challenges

What organizations face today

  • Cluster complexity — managing upgrades, networking and security
  • Cost visibility — understanding per-workload spend
  • Security hardening — RBAC, policies, supply chain
  • Multi-cluster ops — consistency across environments
  • Skills gap — operating Kubernetes reliably
Forward-Looking

Future Challenges

Platform engineering

Internal developer platforms on Kubernetes.

GitOps by default

Declarative, versioned cluster operations.

AI-driven autoscaling

Predictive scaling of pods and nodes.

Serverless Kubernetes

Nodeless, on-demand container execution.

Zero Trust workloads

Identity-based security inside the cluster.

Services Catalog

A Virtuous Cycle of Services

Services define the WHAT — the desired action according to the service type. They follow a virtuous cycle aligned with your Kubernetes initiatives.

Define

Knowledge Transfer
Outcome(s)
  • Deliverable
PS Example

We define a Kubernetes skills development plan covering automation, security and observability.

Teach

Knowledge Transfer
Outcome(s)
  • Videos recorded session
  • Deliverable
PS Example

We deliver technical Kubernetes sessions tailored to your teams' level and objectives.

Validate

Knowledge Transfer
Outcome(s)
  • Deliverable
PS Example

We validate Kubernetes knowledge through practical exercises and real-world scenarios.

Evaluate

Knowledge Transfer
Outcome(s)
  • Deliverable
PS Example

We evaluate Kubernetes skills and identify improvement areas for continuous progression.

Mentor

Knowledge Transfer
Outcome(s)
  • Deliverable
PS Example

We provide Kubernetes technical mentoring for troubleshooting, design and optimization.

Inform

Knowledge Transfer
Outcome(s)
  • Webinar
  • Deliverable
PS Example

We keep you informed about Kubernetes trends, best practices and emerging technologies.

Transversal Layer

AI & Automation

AI and automation enhance every aspect of your Kubernetes scope: detection, analysis, configuration, remediation, prediction and optimization.

  • Anomaly detection on workloads
  • Automated scaling
  • Cost optimization
  • Security posture analysis