Generated by GPT-5-mini| Cloud Native Storage | |
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| Name | Cloud Native Storage |
Cloud Native Storage Cloud Native Storage provides persistent data services for modern distributed applications, integrating with Kubernetes and cloud platforms to deliver scalable, programmable storage. It emerged alongside container orchestration innovations from projects such as Kubernetes and initiatives by organizations including Cloud Native Computing Foundation and Linux Foundation. Practitioners often combine solutions from vendors like Red Hat, VMware, NetApp, and Amazon Web Services to support microservices architectures and continuous delivery pipelines exemplified by Jenkins and GitLab.
Cloud Native Storage addresses persistent data needs for containerized workloads orchestrated by Kubernetes and similar systems, replacing legacy models tied to monolithic platforms such as VMware vSphere and traditional arrays like those from EMC Corporation. It supports stateful sets, operators, and dynamic provisioning used in environments managed by teams practicing methodologies from DevOps and tools associated with Continuous integration and Continuous delivery. Its ecosystem includes open source projects such as Rook (software) and OpenEBS, commercial offerings from Microsoft Azure and Google Cloud Platform, and standards driven by the Container Storage Interface.
Architectures typically include control plane components integrated with Kubernetes API server and data plane components implemented as storage daemons, sidecars, or kernel drivers like Ceph or iSCSI. Key components include provisioners compatible with the Container Storage Interface, CSI drivers developed by vendors such as Red Hat and NetApp, and metadata services inspired by projects like etcd and Prometheus. Storage classes and persistent volume claims map application requests to backend arrays, software-defined solutions such as Ceph, and cloud block storage from Amazon Elastic Block Store, Google Persistent Disk, and Azure Disk Storage.
Standards and protocols underpinning the space include the Container Storage Interface and networking standards embraced by Cloud Native Computing Foundation. Protocols like iSCSI, NFS, SMB, and object APIs compatible with Amazon S3 are commonly supported. Projects influencing implementations include Ceph, GlusterFS, Longhorn, and orchestration integrations from Rook (software) and OpenEBS. Observability and telemetry employ formats and tools such as Prometheus metrics, OpenTelemetry, and log collection ecosystems centered on Fluentd and Elasticsearch.
Deployments span public clouds like Amazon Web Services, Microsoft Azure, and Google Cloud Platform; private clouds built with OpenStack; and on-premises clusters using distributions from Red Hat and service meshes like Istio. Hybrid models integrate VMware Tanzu or OpenShift with cloud-native storage arrays from NetApp and converged infrastructure from Dell EMC. Managed Kubernetes offerings such as Amazon EKS, Google Kubernetes Engine, and Azure Kubernetes Service provide native integrations with cloud provider volume plugins and CSI drivers.
Operational practices include data lifecycle management, backup and restore using tools like Velero (software), snapshot orchestration via CSI snapshot APIs, and disaster recovery strategies informed by concepts from Site Reliability Engineering. Data mobility leverages replication features in projects such as Ceph and replication appliances from NetApp and Dell EMC. Operators and controllers automate day-2 tasks, while policy engines inspired by OPA (Open Policy Agent) and configuration as code paradigms employed in Ansible and Terraform ensure reproducible operations.
Security models combine Kubernetes RBAC, secrets management via HashiCorp Vault, and encryption at rest provided by cloud providers and software solutions like dm-crypt. Compliance mapping references standards enforced by organizations such as ISO and frameworks used by enterprises subject to PCI DSS and HIPAA requirements. Network policy enforcement uses tools originating from Calico (software) and Cilium (software), while supply chain security draws guidance from initiatives like Supply-chain Levels for Software Artifacts and governance practices advocated by the OpenSSF.
Performance tuning includes caching tiers, data locality strategies, and storage class parameters influenced by hardware from Intel and NVIDIA for accelerated workloads. Scalability is achieved through distributed architectures exemplified by Ceph and sharding approaches used in distributed databases like Cassandra and CockroachDB. Resilience leverages replication, erasure coding techniques standardized in projects such as Ceph, and high-availability patterns used by PostgreSQL clusters managed by operators like Crunchy Data. Observability and benchmarking draw upon tools like Prometheus, Grafana, and workload generators inspired by fio (software).
Category:Storage