do not use reuseable workflow, simplify it #4
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10 warnings
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Scan with kics:
charts/dbildungs-iam-server/templates/deployment-backend.yaml#L21
CPU requests should be set to ensure the sum of the resource requests of the scheduled Containers is less than the capacity of the node
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Scan with kics:
charts/dbildungs-iam-server/templates/deployment-backend.yaml#L21
CPU requests should be set to ensure the sum of the resource requests of the scheduled Containers is less than the capacity of the node
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Scan with kics:
charts/dbildungs-iam-server/templates/redis-deployment.yaml#L21
Containers should only run as non-root user. This limits the exploitability of security misconfigurations and restricts an attacker's possibilities in case of compromise
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Scan with kics:
charts/dbildungs-iam-server/templates/deployment-backend.yaml#L81
Check if containers are running with low UID, which might cause conflicts with the host's user table.
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Scan with kics:
charts/dbildungs-iam-server/templates/deployment-backend.yaml#L21
Check if containers are running with low UID, which might cause conflicts with the host's user table.
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Scan with kics:
charts/dbildungs-iam-server/templates/deployment-backend.yaml#L21
Check if containers are running with low UID, which might cause conflicts with the host's user table.
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Scan with kics:
charts/dbildungs-iam-server/templates/redis-deployment.yaml#L43
Check if containers are running with low UID, which might cause conflicts with the host's user table.
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Scan with kics:
charts/dbildungs-iam-server/templates/redis-deployment.yaml#L43
Check if containers are running with low UID, which might cause conflicts with the host's user table.
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Scan with kics:
charts/dbildungs-iam-server/templates/deployment-backend.yaml#L21
Memory requests should be defined for each container. This allows the kubelet to reserve the requested amount of system resources and prevents over-provisioning on individual nodes
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Scan with kics:
charts/dbildungs-iam-server/templates/deployment-backend.yaml#L21
Memory requests should be defined for each container. This allows the kubelet to reserve the requested amount of system resources and prevents over-provisioning on individual nodes
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