策略的编排隔离能力，保证不同租户从应用部署侧即无法访问其他租户的存储卷服务。 高级能力-云原生存储-应用的基石-2-技术架构 Rook是一个集成了Ceph、Minio等分布式存 储系统的云原生存储方案，意图实现一键 式部署、管理方案，且和容器服务生态深 度融合，提供适配云原生应用的各种能力。 从实现上，可以认为 Rook 是一个提供了 Ceph 集群管理能力的 Operator。其使用 CRD 方式来对 Ceph、Minio 储设备。 Rook 将 Ceph 存储服务作为 Kubernetes 的 一个服务进行部署，MON、OSD、MGR 守 护进程会以 pod 的形式在 Kubernetes 进行 部署，而 rook 核心组件对 ceph 集群进行 运维管理操作。 Rook 通过 ceph 可以对外提供完备的存储 能力，支持对象、块、文件存储服务，让 你通过一套系统实现对多种存储服务的需 求。同时 rook 默认部署云原生存储接口

permutation: 2-element Vector{Int64}: 2 1 LinearAlgebra.bunchkaufman – Function. bunchkaufman(A, rook::Bool=false; check = true) -> S::BunchKaufman Compute the Bunch-Kaufman 7 factorization of a symmetric components S.D, S.U or S.L as appropriate given S.uplo, and S.p. If rook is true, rook pivoting is used. If rook is false, rook pivoting is not used. When check = true, an error is thrown if the decomposition 2×2 Matrix{Float64}: 0.0 0.0 0.0 0.0 LinearAlgebra.bunchkaufman! – Function. bunchkaufman!(A, rook::Bool=false; check = true) -> BunchKaufman bunchkaufman! is the same as bunchkaufman, but saves space

permutation: 2-element Vector{Int64}: 2 1 LinearAlgebra.bunchkaufman – Function. bunchkaufman(A, rook::Bool=false; check = true) -> S::BunchKaufman Compute the Bunch-Kaufman 7 factorization of a symmetric components S.D, S.U or S.L as appropriate given S.uplo, and S.p. If rook is true, rook pivoting is used. If rook is false, rook pivoting is not used. When check = true, an error is thrown if the decomposition 2×2 Matrix{Float64}: 0.0 0.0 0.0 0.0 LinearAlgebra.bunchkaufman! – Function. bunchkaufman!(A, rook::Bool=false; check = true) -> BunchKaufman bunchkaufman! is the same as bunchkaufman, but saves space

permutation: 2-element Vector{Int64}: 2 1 LinearAlgebra.bunchkaufman – Function. bunchkaufman(A, rook::Bool=false; check = true) -> S::BunchKaufman Compute the Bunch-Kaufman 7 factorization of a symmetric components S.D, S.U or S.L as appropriate given S.uplo, and S.p. If rook is true, rook pivoting is used. If rook is false, rook pivoting is not used. When check = true, an error is thrown if the decomposition 2×2 Matrix{Float64}: 0.0 0.0 0.0 0.0 LinearAlgebra.bunchkaufman! – Function. bunchkaufman!(A, rook::Bool=false; check = true) -> BunchKaufman bunchkaufman! is the same as bunchkaufman, but saves space

permutation: 2-element Vector{Int64}: 2 1 LinearAlgebra.bunchkaufman – Function. bunchkaufman(A, rook::Bool=false; check = true) -> S::BunchKaufman Compute the Bunch-Kaufman 7 factorization of a symmetric components S.D, S.U or S.L as appropriate given S.uplo, and S.p. If rook is true, rook pivoting is used. If rook is false, rook pivoting is not used. When check = true, an error is thrown if the decomposition 2×2 Matrix{Float64}: 0.0 0.0 0.0 0.0 LinearAlgebra.bunchkaufman! – Function. bunchkaufman!(A, rook::Bool=false; check = true) -> BunchKaufman bunchkaufman! is the same as bunchkaufman, but saves space

permutation: 2-element Vector{Int64}: 2 1 LinearAlgebra.bunchkaufman – Function. bunchkaufman(A, rook::Bool=false; check = true) -> S::BunchKaufman Compute the Bunch-Kaufman 7 factorization of a symmetric components S.D, S.U or S.L as appropriate given S.uplo, and S.p. If rook is true, rook pivoting is used. If rook is false, rook pivoting is not used. When check = true, an error is thrown if the decomposition 2×2 Matrix{Float64}: 0.0 0.0 0.0 0.0 LinearAlgebra.bunchkaufman! – Function. bunchkaufman!(A, rook::Bool=false; check = true) -> BunchKaufman bunchkaufman! is the same as bunchkaufman, but saves space

permutation: 2-element Vector{Int64}: 2 1 LinearAlgebra.bunchkaufman – Function. bunchkaufman(A, rook::Bool=false; check = true) -> S::BunchKaufman Compute the Bunch-Kaufman 7 factorization of a symmetric components S.D, S.U or S.L as appropriate given S.uplo, and S.p. If rook is true, rook pivoting is used. If rook is false, rook pivoting is not used. When check = true, an error is thrown if the decomposition julia> S.L * S.D * S.L' ≈ A[S.p, S.p] true LinearAlgebra.bunchkaufman! – Function. bunchkaufman!(A, rook::Bool=false; check = true) -> BunchKaufman bunchkaufman! is the same as bunchkaufman, but saves space

permutation: 2-element Vector{Int64}: 2 1 LinearAlgebra.bunchkaufman – Function. bunchkaufman(A, rook::Bool=false; check = true) -> S::BunchKaufman Compute the Bunch-Kaufman 7 factorization of a symmetric components S.D, S.U or S.L as appropriate given S.uplo, and S.p. If rook is true, rook pivoting is used. If rook is false, rook pivoting is not used. When check = true, an error is thrown if the decomposition 2×2 Matrix{Float64}: 0.0 0.0 0.0 0.0 LinearAlgebra.bunchkaufman! – Function. bunchkaufman!(A, rook::Bool=false; check = true) -> BunchKaufman bunchkaufman! is the same as bunchkaufman, but saves space

permutation: 2-element Vector{Int64}: 2 1 LinearAlgebra.bunchkaufman – Function. bunchkaufman(A, rook::Bool=false; check = true) -> S::BunchKaufman Compute the Bunch-Kaufman 7 factorization of a symmetric components S.D, S.U or S.L as appropriate given S.uplo, and S.p. If rook is true, rook pivoting is used. If rook is false, rook pivoting is not used. When check = true, an error is thrown if the decomposition 2×2 Matrix{Float64}: 0.0 0.0 0.0 0.0 LinearAlgebra.bunchkaufman! – Function. bunchkaufman!(A, rook::Bool=false; check = true) -> BunchKaufman bunchkaufman! is the same as bunchkaufman, but saves space

permutation: 2-element Vector{Int64}: 2 1 LinearAlgebra.bunchkaufman – Function. bunchkaufman(A, rook::Bool=false; check = true) -> S::BunchKaufman Compute the Bunch-Kaufman 7 factorization of a symmetric components S.D, S.U or S.L as appropriate given S.uplo, and S.p. If rook is true, rook pivoting is used. If rook is false, rook pivoting is not used. When check = true, an error is thrown if the decomposition 2×2 Matrix{Float64}: 0.0 0.0 0.0 0.0 LinearAlgebra.bunchkaufman! – Function. bunchkaufman!(A, rook::Bool=false; check = true) -> BunchKaufman bunchkaufman! is the same as bunchkaufman, but saves space