Building an application-centric " storage platform
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1 Building an application-centric " storage platform Paul Schatteles European Sales - PernixData
2 Agenda Se#ing the scene What we do How we do it What does this mean for you? Making your head explode Fun and games...
3 Let s Agree on One Thing Where s the future of storage heading? 3
4 Virtualization Flash Current state Desired state + Low performance at high cost High quality capacity and data services High quality capacity and data services High perf at low cost But, how. 4
5 Keeping Factory Workers Busy( s) APPLICATIONS Faster forklifts More workers Bigger boxes Larger doors 200KM NETWORK CPU SAN s More disks All flash appliances Some flash (autotiering) 5
6 Flash Savior of our Universe
7 Distance matters.
8 Let s take the scenic route Insert Flash Here Image courtesy of Chad Sakac
9 Anonymity not always a good thing
10 Non-deterministic performance I/O blender: Fairness inside the hypervisor ESXi Host ESXi Host Exit = Loss of application identity Non integrated QOS, Resource management and Priority algorithms throughout the stack Switch Storage Array Switch
11 Not the end, it s only the beginning
12 Industry development Stage 1 Stage 2 Now Flash on DIMMs Flash behind HBA Flash on PCIe Flash-RAM convergence RAM
13 Hard problems remain unsolved Maximize flash s reach to every data center Remove moving parts to let fast media really shine Storage performance that scales like servers Application-centric storage, not infrastructure-centric storage Is application-centric storage a storage system or a storage hypervisor? Critical piece of SDDC design
14 29/09/14
15 PernixData FVP Accelerating" application " read and write I/O" You are in control!
16 Decouple storage performance from capacity ESXi Host ESXi Host ESXi Host Performance Flash Device Flash Device Flash Device FVP Capacity + Data services Storage Array Read & write acceleration of any workload
17 PernixData FVP clustered Platform PernixData Management Server vsphere client ESXi Host ESXi Host ESXi Host FVP extension module FVP extension module FVP extension module SSD Flash Device SSD Flash Device PCIe Flash Device PCIe Flash Device FVP Cluster Storage Array
18 Supports mobility at scale Server flash aggregation into cluster-wide pool (DRS) Migration Read ESXi Host ESXi Host Flash Device data Remote flash access Flash Device FVP Storage Array
19 Write Through Policy Write Ack Write to Flash and Array Effective write latency I/O complete after acknowledge of both resources Flash Device SAN Path FVP ESXi host Primarily accelerating subsequent Reads Storage Array
20 Write Back Policy Write Write to Flash (1) 1 Ack Effective write latency Write to Array a-sync (2) Flash Device SAN Path FVP Effective latency = Flash ESXi host Read & Write acceleration Write Ack 2 Storage Array
21 Platform, not a point solution Fault tolerant write acceleration Write ESXi Host ESXi Host ESXi Host Flash Device Replica write data Flash Device Replica write data Flash Device FVP Destage during HA event Write I/O Storage System
22 29/09/14
23 Operational Simplicity
24 Holy grail PernixData UX team
25 Automatic Error Handling Status Ok Error Solved Requested Write policy: Write Back Write Back Write Through Write Back Failure
26 Your 5 step plan to acceleration Circle size = time and effort
27 Selecting Write Policy
28 Accelerating Workload Accelerate Per- or Per-Datastore Provision new Storage vmotion WT (automatic) Attach WP Policy WT WT WT WB Default Policy Write Through Datastore
29 Restructuring " Data flows
30 Acceleration on the fly observed latency Unaccelerated performance (Storage Array) Datastore performance Point of acceleration Datastore Latency Accelerated performance (FVP) observed latency Storage Array providing performance Accelerated by FVP
31 Positive effect on other workloads
32 Accelerate = Benefits for all In a 7 Month Period: 8 Billion Reads didn t reach primary storage 318 Terabytes of storage bandwidth not used 10 Billion Writes saw significantly low latency
33 Uniform write patterns Smooth out writes Time release I/O Application Performance Datastore writes
34 29/09/14
35 Scaling your performance architecture
36 Future proof scale out architecture Non disruptive performance scale out Linked Compute + Storage performance growth Future proof: new tech instantly usable Compute Scale out necessary ESXi Host ESXi Host ESXi Host ESXi Host FVP Flash Device 50K IOPS Flash Device 50K IOPS Flash Device 100K IOPS Flash Device 250K IOPS Storage System 30K IOPS 200 TB capacity Performance Scale out
37 What could be better than Flash?
38 Distributed Fault Tolerant Memory Historic point: FVP fault tolerance makes volatile memory part of storage for the first time ever Timing: Recent chipset advances make it right for most workloads Other facts about FVP with DFTM: Supports all FVP features and workloads Ability to hot-expand and hot-shrink RAM usage per host
39 Summary of FVP and decoupled storage Server-side storage intelligence abstracted away from storage systems Remove moving parts to let fast media really shine Maximize flash s reach to every data center Short term benefits: Storage performance that scales like servers Long term benefits: Application-centric storage, not infrastructure-centric storage
40 Decouple performance! Because your applications are
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