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Orchestrating Containers at Infrastructure Scale Print

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Running containers at scale.

WHAT ORCHESTRATION PROVIDES

Scheduling containers across machines Restarting failed ones Scaling by count Service discovery Rolling updates and rollback Configuration and secret distribution

WHAT THE DOMINANT PLATFORM IS

A widely adopted system that has become the standard.

WHAT IT COSTS

Substantial complexity Operational expertise Ongoing maintenance of the platform itself

WHEN IT IS WARRANTED

Many services Several teams deploying independently Genuine need for automated scaling and self-healing

WHEN IT IS NOT

A handful of services One team Predictable load

WHAT MOST ORGANISATIONS AT THAT SCALE NEED

Simpler deployment onto a few machines.

WHAT TO CONSIDER INSTEAD

Managed platforms, which remove the burden of operating the control plane.

WHAT TO ALWAYS CONFIGURE

Resource requests and limits Health checks that exercise dependencies Rolling update strategy

WHAT HAPPENS WITHOUT LIMITS

One workload consumes a node and affects everything on it.

WHAT TO MONITOR

Node capacity, pending workloads, and restart counts.

WHAT RESTART LOOPS INDICATE

A failing workload that orchestration is masking.


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