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Reliable, Scaling and High Performance Storage System Yosuke Hara - @yosukehara A Researcher of R.I.T. and Tech Lead LeoFS with Masahiro Sanjo, Coordinator of R.I.T.

Reliable, Scaling and High Performance Storage System · Reliable, Scaling and High Performance Storage System ... distributed, eventually ... LeoFS Administration at Rakuten

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Page 1: Reliable, Scaling and High Performance Storage System · Reliable, Scaling and High Performance Storage System ... distributed, eventually ... LeoFS Administration at Rakuten

Reliable, Scaling and High PerformanceStorage System

Yosuke Hara - @yosukehara

A Researcher of R.I.T. and Tech Lead LeoFSwith Masahiro Sanjo, Coordinator of R.I.T.

Page 2: Reliable, Scaling and High Performance Storage System · Reliable, Scaling and High Performance Storage System ... distributed, eventually ... LeoFS Administration at Rakuten

LeoFS is "Unstructured Big Data Storage for the Web"and a highly available, distributed, eventually consistentstorage system.

Organizations can use LeoFS to store lots of dataefficently, safely and inexpensively.

LeoFS was published as OSSon July of 2012

leo-project.net/leofs

Page 3: Reliable, Scaling and High Performance Storage System · Reliable, Scaling and High Performance Storage System ... distributed, eventually ... LeoFS Administration at Rakuten

Overview

Brief Benchmark ReportMulti Data Center Replication

LeoFS Administration at RakutenFuture Plans LeoFS QoS

NFS Support

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Overview

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� � � � � � � � � � � � � � � � � � � �� � � � � � � � � � � � � � � � � � � �� � � � � � � � � � � � � � � � � � � �� � � � � � � � � � � � � � � � � � � �� � � � � � � � � � � � � � � � � � � �� � � � � � � � � � � � � � � � � � � �� � � � � � � � � � � � � � � � � � � �� � � � � � � � � � � � � � � � � � � �� � � � � � � � � � � � � � � � � � � �� � � � � � � � � � � � � � � � � � � �� � � � � � � � � � � � � � � � � � � �� � � � � � � � � � � � � � � � � � � �� � � � � � � � � � � � � � � � � � � �� � � � � � � � � � � � � � � � � � � �� � � � � � � � � � � � � � � � � � � �� � � � � � � � � � � � � � � � � � � �� � � � � � � � � � � � � � � � � � � �� � � � � � � � � � � � � � � � � � � �

� � � � � � � � � � � � � � � � � � � �� � � � � � � � � � � � � � � � � � � �� � � � � � � � � � � � � � � � � � � �� � � � � � � � � � � � � � � � � � � �� � � � � � � � � � � � � � � � � � � �� � � � � � � � � � � � � � � � � � � �� � � � � � � � � � � � � � � � � � � �� � � � � � � � � � � � � � � � � � � �� � � � � � � � � � � � � � � � � � � �� � � � � � � � � � � � � � � � � � � �� � � � � � � � � � � � � � � � � � � �� � � � � � � � � � � � � � � � � � � �

� � � � � � � � � � � � � � � � � � � �� � � � � � � � � � � � � � � � � � � �� � � � � � � � � � � � � � � � � � � �� � � � � � � � � � � � � � � � � � � �� � � � � � � � � � � � � � � � � � � �� � � � � � � � � � � � � � � � � � � �� � � � � � � � � � � � � � � � � � � �� � � � � � � � � � � � � � � � � � � �� � � � � � � � � � � � � � � � � � � �� � � � � � � � � � � � � � � � � � � �� � � � � � � � � � � � � � � � � � � �� � � � � � � � � � � � � � � � � � � �

The Lion of Storage Systems

HIGH Availability

HIGH Cost Performance Ratio

HIGH Scalability

LeoFS Non Stop

Velocity: Low LatencyMinimum Resources

Volume: Petabyte / ExabyteVariety: Photo, Movie, Unstructured-data

3 Vs in 3 HIGHs

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Metadata Object Storage

Storage Engine/Router

Monitor

GUI Console

( Erlang RPC)

LeoFS Overview

Storage

Manager

( Erlang RPC)

Gateway

( TCP/IP,SNMP )

Request fromWeb Applications / Browsers

w/HTTP over REST-API / S3-API

Load Balancer

Keeping High AvailabilityKeeping High PerformanceEasy Administration

Metadata Object Storage

Storage Engine/Router

Metadata Object Storage

Storage Engine/Router

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LeoFS Gateway

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LeoFS Overview - Gateway

Stateless Proxy + Object Cache

REST-API / S3-API

Use Consistent Hashingfor decision of a primary node

[ Memory Cache, Disc Cache ]

Storage C

lusterG

ateway(s)

Clients

HTTP Request and ResponseBuilt in Object Cache Mechanism

Storage Cluster

Fast HTTP Server - CowboyAPI HandlerObject Cache Mechanism

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LeoFS Storage

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Storage (S

torage Cluster)

Gatew

ay

LeoFS Overview - Storage

Use "Consistent Hashing"for Data Operation

in the Storage Cluster

Choosing Replica Target Node(s)

RING2 ^ 128 (MD5)

# of replicas = 3

KEY = “bucket/leofs.key”Hash = md5(Filename)

Secondary-1

Secondary-2

Primary Node

"P2P"

WRITE: Auto ReplicationREAD : Auto Repair of an Inconsistent Object with Async

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Request From Gateway

LeoFS Overview - Storage

...

LeoFS Storage

ReplicatorRecoverer

...

Storage Engine

Storage E

ngine, Metadata + O

bject Storage

Gatew

ay

Storage consists of Object Storage and Metadata StorageIncludes Replicator and Recoverer for the eventual consistency

MetadataStorage Object

Storage

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LeoFS Overview - Storage - Data Structure

Metadata

Storage

Object S

torage

Robust andHigh PerformanceNecessary for GC

Offset Version Time-stamp Key

<Metadata>

Checksum

for Sync

KeySize CustomMeta Size File Size

for retrieving an object

Footer (8B)

Checksum KeySize DataSize Offset Version Time-stamp Key User-Meta Footer

Header (Metadata - Fixed length) Body (Variable Length)

User-MetaSize

ActualFile

<Needle>

Supe

r-bl

ock

Nee

dle-

1

Nee

dle-

2

Nee

dle-

3

<Object Container>N

eedl

e-4

Nee

dle-

5

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To Equalize Disk Usage in Every Storage NodeTo Realise High I/O efficiency and High Availability

LeoFS Overview - Storage - Large Object Support

chunk-0

chunk-1

chunk-2

chunk-3

An Original Object’s Metadata

Original Object NameOriginal Object Size# of Chunks

Storage ClusterGatewayClient(s)

[ WRITE Operation ]

Chunked Objects

Every chunked objectis replicated

in the storage cluster

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LeoFS Manager

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Storage Cluster

LeoFS Overview - Manager

Monitor

Operate

RING, Node State

status, suspend,resume, detach, whereis, ...

Gateway(s)

Storage C

lusterG

ateway(s)

Manager(s)

Operate LeoFS - Gateway and Storage Cluster"RING Monitor" and "NodeState Monitor"

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Brief BenchmarkReport

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LeoFS kept in a stable performance through the benchmark

Brief Benchmark Report

Bottleneck is Disk I/O

The cache mechanism contributed to reduce network traffic between Gateway and Storage

Summary of the benchmark results

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Brief Benchmark Report

1st Case: Group of Value Ranges Storage:5, Gateway:1, Manager:2 R:W = 9:1

2nd Case: Group of Value Ranges Storage:5, Gateway:1, Manager:2 R:W = 8:2

source: https://github.com/leo-project/notes/tree/master/leofs/benchmark/leofs/20140605/tests/1m_r9w1_240min

source: https://github.com/leo-project/notes/tree/master/leofs/benchmark/leofs/20140605/tests/1m_r8w2_120min

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Brief Benchmark Report

CPU Intel(R) Xeon(R) CPU X5650 @ 2.67GHz * 2 (12 cores / 24 threads)

Memory 96GBDisk HDD - 240GB RAID0

Network 10G-Ether

Server Spec - Gateway:

CPU Intel(R) Xeon(R) CPU X5650 @ 2.67GHz * 2 (12 cores / 24 threads)

Memory 96GB

DiskHDD - 240GB RAID0 (System)

DiskHDD - 2TB RAID0 (Data)

Network 10G-Ether

Server Spec - Storage x5:

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Network 10GbpsOS CentOS release 6.5 (Final)

Erlang OTP R16B03-1LeoFS v1.0.2

Environment:

System Consistency Level: [ N:3, W:2, R:1, D:2 ]

Duration 4.0hR:W 9:1

# of Concurrent Processes 64

# of Keys 100,000

Value Size

Benchmark Configuration:

Range (byte)Range (byte) Percentage

1024 10240 24.00%

10241 102400 30.00%

10241 819200 30.00%

819201 1572864 16.00%

Brief Benchmark Report - 1st Case (R:W=9:1)

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source: https://github.com/leo-project/notes/tree/master/leofs/benchmark/leofs/20140601/tests/1m_r9w1_240min

50ms

Brief Benchmark Report - 1st Case (R:W=9:1)

50ms

1,500ops

No Errors

OPS

Latency

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0

150,000

300,000

450,000

600,000

750,000

900,000

1,050,000

1,200,000

1,350,000

1,500,000

0s 500s

1000s

1500s

2000s

2500s

3000s

3500s

4000s

4500s

5000s

5500s

6000s

6500s

7000s

7500s

8000s

8500s

9000s

9500s

10000s

10500s

11000s

11500s

12000s

12500s

13000s

13500s

14000s

gateway rxbyt/s gateway txbyt/sstorage-1 rxbyt/s storage-1 txbyt/sstorage-2 rxbyt/s storage-2 txbyt/sstorage-3 rxbyt/s storage-3 txbyt/sstorage-4 rxbyt/s storage-4 txbyt/sstorage-5 rxbyt/s storage-5 txbyt/s

Brief Benchmark Report - 1st Case / Network Traffic

10.0Gbps

7.0Gbps

5.0Gbps

6.0Gbps

StorageG

ateway

60%

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00.10.30.40.60.70.91.01.11.31.41.61.71.92.0

0s 500s

1000s

1500s

2000s

2500s

3000s

3500s

4000s

4500s

5000s

5500s

6000s

6500s

7000s

7500s

8000s

8500s

9000s

9500s

10000s

10500s

11000s

11500s

12000s

12500s

13000s

13500s

14000s

Memory Usage

CPU Load 5min

Brief Benchmark Report - 1st Case / Memory and CPU

1.0

0

10

20

30

40

50

60

70

80

90

100

0s 500s

1000s

1500s

2000s

2500s

3000s

3500s

4000s

4500s

5000s

5500s

6000s

6500s

7000s

7500s

8000s

8500s

9000s

9500s

10000s

10500s

11000s

11500s

12000s

12500s

13000s

13500s

14000s

gatewaystorage-1storage-2storage-3storage-4storage-5

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Network 10GbpsOS CentOS release 6.5 (Final)

Erlang OTP R16B03-1LeoFS v1.0.2

Environment:

System Consistency Level: [ N:3, W:2, R:1, D:2 ]

Duration 2.0hR:W 8:2

# of Concurrent Processes 64

# of Keys 100,000

Value Size

Benchmark Configuration:

Brief Benchmark Report - 2nd Case (R:W=8:2)

Range (byte)Range (byte) Percentage

1024 10240 24.00%

10241 102400 30.00%

10241 819200 30.00%

819201 1572864 16.00%

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Brief Benchmark Report - 2nd Case (R:W=8:2)

60-70ms 80-90ms

1,000ops

No Errors

OPS

Latency

Page 26: Reliable, Scaling and High Performance Storage System · Reliable, Scaling and High Performance Storage System ... distributed, eventually ... LeoFS Administration at Rakuten

Compare 1st case with 2nd case

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0

150,000

300,000

450,000

600,000

750,000

900,000

1,050,000

1,200,000

1,350,000

1,500,000

0s 500s

1000s

1500s

2000s

2500s

3000s

3500s

4000s

4500s

5000s

5500s

6000s

6500s

7000sgateway rxbyt/s gateway txbyt/sstorage-1 rxbyt/s storage-1 txbyt/sstorage-2 rxbyt/s storage-2 txbyt/sstorage-3 rxbyt/s storage-3 txbyt/sstorage-4 rxbyt/s storage-4 txbyt/sstorage-5 rxbyt/s storage-5 txbyt/s

0

300,000

600,000

900,000

1,200,000

1,500,000

1,800,000

2,100,000

2,400,000

2,700,000

3,000,000

0s 500s

1000s

1500s

2000s

2500s

3000s

3500s

4000s

4500s

5000s

5500s

6000s

6500s

7000s

6.0Gbps

Brief Benchmark Report7.0Gbps

6.0Gbps7.0Gbps

minus 0.7Gbps

1st Case - Network Traffic

2nd Case - Network Traffic

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0

50.0

100.0

150.0

200.0

250.0

300.0

350.0

400.0

450.0

500.0

550.0

600.0

0s 500s

1000s

1500s

2000s

2500s

3000s

3500s

4000s

4500s

5000s

5500s

6000s

6500s

7000s

0

50.0

100.0

150.0

200.0

250.0

300.0

350.0

400.0

450.0

500.0

550.0

600.0

0s 500s

1000s

1500s

2000s

2500s

3000s

3500s

4000s

4500s

5000s

5500s

6000s

6500s

7000s

storage-1 storage-2 storage-3storage-4 storage-5

100

100

Brief Benchmark Report

2nd Case - Disk util%

200

200

1st Case - Disk util%

1.8x high

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00.20.40.60.81.01.21.41.61.82.02.22.42.62.83.0

0s 500s

1000s

1500s

2000s

2500s

3000s

3500s

4000s

4500s

5000s

5500s

6000s

6500s

7000s

gatewaystorage-1storage-2storage-3storage-4storage-5

Brief Benchmark Report

00.20.40.60.81.01.21.41.61.82.02.22.42.62.83.0

0s 500s

1000s

1500s

2000s

2500s

3000s

3500s

4000s

4500s

5000s

5500s

6000s

6500s

7000s

1.00

1.00

1.6x high2nd Case - CPU Load 5min

1st Case - CPU Load 5min

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LeoFS kept in a stable performance through the benchmark

Brief Benchmark Report

Bottleneck is Disk I/O

The cache mechanism contributed to reduce network traffic between Gateway and Storage

Conclusion:

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Multi Data CenterReplication

Page 32: Reliable, Scaling and High Performance Storage System · Reliable, Scaling and High Performance Storage System ... distributed, eventually ... LeoFS Administration at Rakuten

TokyoEurope

US

Multi Data Center Replication

HIGH-ScalabilityHIGH-Availability

Easy Operation for Admins+

NO SPOF

NO Performance Degradation

Singapore

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1. Easy Operation to build multi clusters.

2. Asynchronous data replication between clusters

Stacked data is transferred to remote cluster(s)

3. Eventual consistency

Multi Data Center Replication

Designed it as simple as possible

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DC-3DC-2

Storage cluster

Manager cluster

Client

DC-1

Monitors and Replicates each “RING” and “System Configuration”

"Leo Storage Platform"

[# of replicas:1] [# of replicas:1][# of replicas:3]

"join cluster DC-2 and DC-3"

leo_rpcleo_rpc

Multi Data Center Replication

Executing “Join Cluster” on Manager Console

Preparing the MDC Replication

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DC-3DC-2

Storage cluster

Manager cluster

Client

Monitors and Replicates each “RING” and “System Configuration”

"Leo Storage Platform"

[# of replicas:1] [# of replicas:1]

Request tothe Target Region

Application(s)

DC-1

[# of replicas:3]

Temporally Stacking objects- One container's capacity is *32MB- When capacity is full,

send it to remote cluster(s)* 32MB: default capacity - able to set optional value

leo_rpcleo_rpc

Multi Data Center Replication

Stacking objects

Page 36: Reliable, Scaling and High Performance Storage System · Reliable, Scaling and High Performance Storage System ... distributed, eventually ... LeoFS Administration at Rakuten

DC-3DC-2

Storage cluster

Manager cluster

Client

Monitors and Replicates each “RING” and “System Configuration”

"Leo Storage Platform"

DC-1

Stacked an object with a metadata

Compress it with LZ4

Replicated an object

Request tothe Target Region

Application(s)

leo_rpc

leo_rpcleo_rpc

Multi Data Center Replication

Transferring stacked objects

Stacked objects

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DC-3DC-2

Storage cluster

Manager cluster

Client

Monitor and Replicate each “RING” and “System Configuration”

"Leo Storage Platform"

Request tothe Target Region

Application(s)

DC-1

1) Receive metadata of stored objects2) Compare them at the local cluster3) Fix inconsistent objects

leo_rpcleo_rpc

leo_rpcleo_rpc

Multi Data Center Replication

Investigating stored objects

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NFS Support

Page 39: Reliable, Scaling and High Performance Storage System · Reliable, Scaling and High Performance Storage System ... distributed, eventually ... LeoFS Administration at Rakuten

NFS SupportFuture Plans

Data-HUB: Centralize unstructured data in LeoFS

Search / AnalysisPaaS / IaaS Photo-Storage

Many Kind of Data PhotoLog / Event Data

Loading Data

Analysis Data

Stream Processing

Page 40: Reliable, Scaling and High Performance Storage System · Reliable, Scaling and High Performance Storage System ... distributed, eventually ... LeoFS Administration at Rakuten

LeoFS Administrationat Rakuten

Presented by Masahiro Sanjo Rakuten Institute of Technology

Page 41: Reliable, Scaling and High Performance Storage System · Reliable, Scaling and High Performance Storage System ... distributed, eventually ... LeoFS Administration at Rakuten

Storage PlatformFile Sharing ServiceOthers Portal Site

Photo Storage

Background Storage of OpenStack

LeoFS Administration at Rakuten

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Storage Platform

Page 43: Reliable, Scaling and High Performance Storage System · Reliable, Scaling and High Performance Storage System ... distributed, eventually ... LeoFS Administration at Rakuten

Storage Platform - Scaling the Storage Platform

(Movie)

Reduce CostsHigh ReliabilityEasy to ScaleS3-API

Page 44: Reliable, Scaling and High Performance Storage System · Reliable, Scaling and High Performance Storage System ... distributed, eventually ... LeoFS Administration at Rakuten

Using Various Services Total Usage: 450TB/600TB

# of Files: 600Million Daily Growth: 100GB Daily Reqs: 13Million

Storage Platform - Scaling the Storage Platform

E-Commerce

Blog

Insurance Calendar

Recruiting

Review Photoshare

Portal &Contents

Bookmark

B

Storage Platform

(Movie)

Page 45: Reliable, Scaling and High Performance Storage System · Reliable, Scaling and High Performance Storage System ... distributed, eventually ... LeoFS Administration at Rakuten

Monitor

GUI Console

( Erlang RPC)

( Erlang RPC) ( TCP/IP,SNMP )

Gatew

ay x 4Storage x 14

Manager x 2

Requests fromWeb Applications / Browsers

w/HTTP over S3-API

Load Balancer / Cache Servers

Storage Platform - System LayoutTotal disk space: 600TBNumber of Files: 600MillionAccess Stats: 800Mbps (MAX) 400Mbps (AVG)

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Monitor

GUI Console

( Erlang RPC)

( Erlang RPC) ( TCP/IP,SNMP )

Gatew

ay x 4Storage x 14

Manager x 2

Storage Platform - Monitor

Send Mail AlertGanglia Agent

Status Collection (Ganglia)Status Check (Nagios)Port + Threshold Check

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Storage Platform - Spreading Globally

Covering All Services with Multi DC Replication

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File Sharing Service

+https://owncloud.com/

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+

File Sharing Service - Required Targets

Reduce CostsHandle Confidential Files

Store Large FilesScale Easily

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+

Share Docs and Videos with Group CompaniesOver 20 Companies, Over 10 Countries

Over 4,000 Users, Over 10,000 Teams

File Sharing Service - Usage

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LDAP

Monitor

GUI Console

( Erlang RPC)

( Erlang RPC) ( TCP/IP,SNMP )

Manager x 2

Authenticate Users

Manage Configurations

ManageLogin Session(KVS)

File Sharing Service - System Layout

Web GUI File Browser

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Cover 25 Countries/RegionsOver 20,000 Users

+

File Sharing Service - Future Plans

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Empowering the Services and the Users Through the Cloud Storage

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Future Plans

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SavannaDB for Statistics Data

Retrieve metrics and stats from SavannaDB's Agents

Storage Cluster

ManagerGateway

The Lion of Storage Systems

REST-API (JSON)

Operate LeoFS

Notify a message of over # of req threshold

SavannaDB's AgentInsight LeoFS

LeoInsight

Future Plans

+

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Set Sail for “Cloud Storage”Website: leo-project.net

Twitter: @LeoFastStorage