Lesson 1Object storage inside: eventual consistency, REST APIs, buckets, metadata, scalability and use casesDis part look inside object storage systems, focusing on RESTful access, buckets, and metadata. Learners go study eventual consistency, distribution and scaling ways, and de workloads dat benefit most from object storage designs.
Buckets, objects, and key namingREST APIs and common operationsEventual consistency behaviorsMetadata indexing and searchScaling out capacity and throughputObject storage use cases and limitsLesson 2Cloud storage models: IaaS block storage, managed file storage, object storage, and differences from on-premises storageDis part explore cloud storage options, including IaaS block, managed file, and object storage. Learners go compare durability, performance, and cost, and see how cloud services differ from traditional on-premises storage designs and operations.
IaaS block storage characteristicsManaged cloud file storage servicesCloud object storage featuresDurability, availability, and SLAsCost models and lifecycle policiesHybrid and multicloud storage patternsLesson 3RAID families and trade-offs: RAID 0/1/5/6/10, rebuild behavior, write penalty, and when to use eachDis part detail major RAID levels, including 0, 1, 5, 6, and 10, and how dem balance performance, capacity, and resilience. Learners go analyze rebuild behavior, write penalties, and practical guidance on selecting RAID for various workloads.
RAID 0, 1, 5, 6, 10 fundamentalsParity, mirroring, and striping basicsWrite penalty and random I/O impactRebuild times and failure riskRAID selection for key workloadsRAID vs. erasure coding overviewLesson 4Block storage vs. file storage vs. object storage: definitions, access patterns, metadata differencesDis part define block, file, and object storage and how applications interact with each. Learners go compare access patterns, namespace organization, and metadata handling to understand which model best suits different workload types.
Block storage concepts and LUN usageFile storage namespaces and sharesObject storage flat namespace modelMetadata handling in each modelTypical workload access patternsChoosing the right storage modelLesson 5Storage area network (SAN): Fibre Channel and iSCSI basics, LUNs, zoning, multipathingDis part introduce SAN concepts, including Fibre Channel and iSCSI, and how dem present block devices as LUNs. Learners go explore zoning, masking, and multipathing to design resilient, high-performance shared storage fabrics.
SAN vs. NAS: conceptual differencesFibre Channel fabric fundamentalsiSCSI concepts and connectivityLUN provisioning and maskingZoning strategies and securityMultipathing and path failoverLesson 6Direct-attached storage (DAS): architecture, use cases, limitations, performance characteristicsDis part examine direct-attached storage, where disks connect directly to a host. Learners go review common architectures, performance behavior, scalability limits, and when DAS is appropriate compared with NAS or SAN based solutions.
Typical DAS hardware topologiesLocal RAID controllers and JBODPerformance traits and bottlenecksScalability and manageability limitsDAS use cases and best fitsComparing DAS with NAS and SANLesson 7Network-attached storage (NAS): protocols (SMB, NFS), typical deployments, concurrency and permissionsDis part introduce NAS concepts, focusing on how SMB and NFS expose shared folders over the network. Learners go examine deployment patterns, concurrency handling, and permission models dat protect data and control multiuser access.
NAS vs. file server: key differencesCore NAS components and data pathsSMB protocol basics and capabilitiesNFS protocol basics and versionsPermissions, ACLs, and identity mappingTypical NAS deployment patternsLesson 8Performance metrics and capacity metrics: IOPS, throughput, latency, capacity planning basics, utilization and growth forecastingDis part explain key performance and capacity metrics, including IOPS, throughput, latency, and utilization. Learners go practice interpreting metrics, planning capacity, and forecasting growth to maintain reliable, efficient storage systems.
Defining IOPS, throughput, and latencyQueue depth and workload profilesMonitoring tools and key indicatorsCapacity planning and headroomUtilization thresholds and alertsGrowth forecasting and trend analysisLesson 9Backup vs. archive vs. replication: objectives, retention models, RPO/RTO basics, and common strategiesDis part clarify de distinct goals of backup, archive, and replication. Learners go study retention models, RPO and RTO targets, and how to combine technologies and schedules to meet compliance, recovery, and business continuity needs.
Backup goals and recovery scenariosArchive use cases and compliance needsReplication types and topologiesDefining RPO and RTO requirementsRetention policies and data lifecycleCommon enterprise protection strategies
