Resilience Solutions
EngineeringAdopt

Containers & Kubernetes

Containerized packaging and the orchestration platform that has become the default substrate for cloud-native workloads.

How a change reaches production

Commit, build, test, deploy, observe — with static analysis, dependency and secret scanning in the pipeline, and production feedback changing what gets built next.

What it is

Understanding Containers & Kubernetes

Containers package an application with its dependencies so it runs identically anywhere. Kubernetes orchestrates them across a cluster — scheduling, scaling, networking, storage and self-healing. It has become the de facto standard, which brings a large ecosystem and a substantial operational burden.

Why it matters

Consistent environments from development to production, efficient resource utilization, and portability across infrastructure. The caveat is that Kubernetes is powerful and genuinely complex; for a small number of simple services, managed platform services are usually the better economic answer.

Problems it addresses

  • “"It works on my machine" but not in production.”
  • “Infrastructure is over-provisioned because workloads cannot share it safely.”
  • “Deployment is manual and inconsistent between environments.”
  • “We are locked into one provider's proprietary runtime.”

Capabilities

  • Containerization

    Application packaging, image hygiene and build optimization.

  • Cluster architecture

    Managed Kubernetes design covering networking, storage, identity and multi-tenancy.

  • Platform engineering

    Golden paths and self-service so teams do not each learn Kubernetes.

  • GitOps delivery

    Declarative, version-controlled deployment with drift detection.

  • Observability and cost

    Cluster-level monitoring, resource governance and cost attribution.

Use cases

  • Cloud-native platform

    A shared runtime for many services across teams.

  • Environment consistency

    Identical runtime from development through production.

  • Workload portability

    Reduced dependence on a single provider's proprietary services.

Before you commit

Prerequisites, governance and risks

The questions that determine whether this will work in your environment, rather than in a demonstration.

What has to be true first

  • Genuine operational capacity — a managed control plane does not remove the operational burden
  • A platform team, or a deliberate decision to use simpler managed services instead
  • Observability before scale

Governance

Resource quotas, network policy, admission control and image provenance. The most common failure is adopting Kubernetes without a platform function, which pushes substantial operational complexity onto every product team.

Risks

  • Operational complexity exceeding the organization's capacity
  • Cost growth from unmanaged resource requests
  • Adopting Kubernetes where managed services would be simpler and cheaper

Where Containers & Kubernetes leads

Every connection below is recorded in the content itself, and each one says why it is here.

Explore solutions using Containers & Kubernetes

Open the guided finder with this technology already selected, and see which capabilities apply to your goal, sector and environment — with the reasoning shown.

Start from a goal