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24 Maggio, Fermo
AGENDA
IBM POWER9 L’infrastruttura a prova di futuro
FEDERICO MENICHETTI
Manager of Server Solutions - IBM Italia
MASSIMILIANO BELARDI
IBM Sales Manager Power Solutions
IBM STORAGE SOLUTIONS i dati, … driver del business
MATTEO MASCOLO
Storage and SDI Client Technical Specialist - IBM Italia
EUROLAB i Servizi Gestiti
UGO IACOPINI
General Manager Eurolab
TERMINE LAVORI - DINNERIBM POWER9 L’infrastruttura a prova di futuro FEDERICO MENICHETTI Manager of Server Solutions - IBM Italia
Il mercato dei Server in Italia
IBM guida il segmento dei server enterprise
Il driver è quello dei progetti di
consolidamento di workloads differenti su
macchine High End
Il mercato italiano dei servers è in
contrazione – Il ricorso al Cloud è una delle
principali cause
Il marketshare IBM tuttavia, nonostante le
fluttuazioni dei trimestri, è in crescitaIl mercato IBMi in Italia - 1
Le "roccaforti" dell'As/400
Diffusione geografica
• Sondaggio effettuato nel 2018
• Campione di 5.945 aziende italiane
• 9 ERP analizzati
http://www.neuronasaservice.it/dep/wcmnes.nsf/It/N051_Analisi6Il mercato IBMi in Italia - 2
Tipologia d'azienda Dettagli sui settori merceologici
Le aziende di distribuzione hanno il primato dell’installato IBM iLa piattaforma IBMi
Incredibilmente diffusa soprattutto nel mondo
delle piccole e medie imprese, con carichi di
lavoro di applicazioni gestionali
La sua forza è un variegato
ecosistema che si autoalimenta
e si arricchisce di nuovi attori
Nel mondo IBMi si fanno nuovi
clienti e si sta sviluppando un
mercato di Cloud Service
Providers che sta investendo
sulla piattaforma25 gi gabyt es 80 mi l l i on
wearable health 153 exabyt es
of dat a per hour devices will
be available by of heal t hcar e
is generated by a 2017.
dat a generated by
connected car. devices in 2013.
Available
Data
Data
90% of car s wi l l Increasing to 2, 314
be connect ed by 2020. exabyt es in 2020.
2. 5 Enterprise There
qui nt i l l i on Amnesia
will be
byt es of dat a 28 t i mes
generated daily
by connected mor e
machines. sensor -
enabl ed
devi ces 1. 7 megabyt es
t han of dat a per
peopl e second
generated by
Understood Data by the every human
year 2020. being on the
Time planet by 2020.
8IBM
IBMResearch
Research network
Ireland
Zurich
Almaden Watson China
Tokyo
Austin Haifa
India
Africa
Brazil
AustraliaAree innovative di crescita del mercato - Linux
Piattaforme Dati Open Source
Intelligenza
AumentataSAP Hana – Il mercato
Hana è LA strategia SAP e rappresenta sul mercato una delle maggiori opportunità di
crescita nel medio periodo.
Il mercato italiano è notevolmente differente dal resto d’Europa e del mondo, soprattutto
in relazione al sizing delle installazioni, ma per altri versi le problematiche che ci
troviamo ad affrontare sono le medesime:
• Sap Hana aziende medie da 512 GB a 2.048 GB
• Sistemi in parallelo o nuove installazioni
• Tipologia di architettura scelta (Appliance vs TDI)
• Migrazioni da 1.0 a 2.0
Il mercato è in forte crescita sia per le aziende che offrono soluzioni on premise sia per
chi si propone come Cloud Service Provider
SAP comunicava nel 2017 di avere una pipeline di 300 possibili
nuovi progetti in Italia!!!!!Piattaforme dati Open Source – Il mercato
Più del 75% dei nuovi progetti nel mondo vengono avviati dai clienti su piattaforme
dati di tipo OpenSource, in Italia vi sono anche installati in produzione ma il focus
principale è oggi sulla sperimentazione
Piattaforme come MongoDB o Hortonworks hanno un installato
decisamente in crescitaIntelligenza Aumentata – il mercato
In questa fase molte aziende in ogni settore d’industria stanno guardando a tecnologie
on premise per trasformare in modo innovativo l’enorme mole di dati a loro disposizione
Principali Use Cases Ecosistema dinamico
• Gestione delle immagini • Università e Centri di Ricerca
• Analisi di tipo finanziario • ISV locali
• Cloud Service Providers
Misura della velocità e Statistiche
Identificazione e previsione code a
semafori, hcaselli e gallerie
Sicurezza nei Cantieri
Oggi lo spazio è principalmente per sperimentazioni, possibilità di pacchettizzazione
servizi standard da erogare anche in modalità CloudFuture of technology: Quantum computing
“It’s not a simple thing to do,” he says.
“Quantum systems are really quite delicate.”
And, he adds, IBM has done it right.
Prof. David Cory
IBM Quantum Experience launched May 4, 2016:
In the first two months after launch:
30,014 registered users, in 146 countries
180,756 executions
10+ professors committing to using our system in coursework
6 papers, including one from the South Pole
Undergrad conference at U. Waterloo with prize for “best algorithm”
http://www.ibm.com/quantumcomputing
15The Democratization of Expertise
collaboration goes the
data leaves from no-concern
hands because too few
of the privileged
are privileged, to a possibility
and starts to empower because of the many
the many
Fine Dining Finance Law Admin Healthcare Clinician Strategybackup
Aree tradizionali di crescita - Il mondo IBMi
150.000 clienti nel mondo in oltre 115 paesi
‒ considerevole base installata in Nord America, Europa occidentale e Giappone
‒ diffusione crescente nei mercati emergenti: America Latina, Europa orientale e sud-est asiatico,
soprattutto nel settore bancario e della distribuzione
‒ significativa presenza nei segmenti dei servizi bancari e finanziari cinesi
‒ circa 12.000 clienti in Italia
2.300 soluzioni di oltre 850 ISVs
Cross industry
‒ distribuzione, produzione, banche e servizi finanziari, assicurazioni, viaggi e trasporti, ...
Estesa comunità di clienti: importanti aziende di grandi dimensioni (>1000
dipendenti) nonchè moltissime piccole e medie imprese
‒ 50.000 aziende di grandi dimensioni (> 1000 dipendenti)IBM POWER9 L’infrastruttura a prova di futuro MASSIMILIANO BELARDI IBM Sales Manager Power Solutions
A new Era of Computing has emerged
Cognitive Era
Smarter Planet
E-Business
Distributed
Computing Big Data &
Centralized Predictive Analytics Cognitive
Mainframes
Data
Office Warehousing
Productivity
Client/
Server
Personal
ERP Evolution
Computer
Data Reporting Context Insight
Transactional Business Big Data & Actionable Insight in
Database Intelligence Advanced Analytics contextA new Era of Computing has emerged
Cognitive Era
Smarter Planet
E-Business
Distributed
Computing Big Data &
Centralized Predictive Analytics Cognitive
Mainframes
Data
Office Warehousing
Productivity
Client/
Server
Personal
ERP Evolution
Computer
Data Reporting Context Insight
Transactional Business Big Data & Actionable Insight in
Database Intelligence Advanced Analytics contextA new Era of Computing has emerged
Cognitive Era
Smarter Planet
E-Business
Distributed
Computing Big Data &
Centralized Predictive Analytics Cognitive
Mainframes
Data
Office Warehousing
Productivity
Client/
Server
Personal
ERP Evolution
Computer
Data Reporting Context Insight
Transactional Business Big Data & Actionable Insight in
Database Intelligence Advanced Analytics contextLinux…….where all begins!
Who Has Contributed to Linux?
(2005 – 2012)
Learn about Power
Systems Linux centers
Beijing, China
Austin, TX
New York, NY
Montpellier, FranceThe OpenPOWER Foundation
Market Shifts New Open Innovation
Open Development
• Moore’s law no longer
open software, open hardware • Rich software ecosystem
satisfies performance gain
• Spectrum of power servers
• Growing workload demands Collaboration of thought leaders
• Multiple hardware options
• Numerous IT consumption simultaneous innovation, multiple disciplines
models • Derivative POWER chips
• Mature Open software Performance of POWER architecture
ecosystem amplified capability
120+
300+
Members WEB 2.0
The OpenPOWER Foundation And growing …. Data Center
MSP
SW
SW
is an open ecosystem, Linux
Linux
ISV
ISV
Cloud
FW
using the Open
Source
Open Source
Open Source
SYS
POWER Architecture to serve I/O
I/O
ODM
OEM
the evolving needs of Chip
Networking
Networking
Chip Storage
Storage
SoC Dev
customers. Technology
Technology
IP Dev
Acceleration
FAB
24OpenPOWER Community today Implementation / HPC / Research Software System / Integration I/O / Storage / Acceleration Boards / Systems Chip / SOC
What's going on in the market? -
Open Source databases are changing the enterprise By 2018, more than 70% of new in-
house apps will be developed on an
Open Source database, 50% of
existing will be converted – Gartner *
Database Popularity * Source: The State of Open-Source RDBMSs, 2015, Gartner, Donald Feinberg, Merv Adrian, April 2015
Rank Database Growth
April ‘17 past 3 years
1 Oracle -13%
2 MySQL 10%
3 MS SQL Server -2%
4 PostgreSQL 71%
5 MongoDB 101%
6 DB2 9%
7 MS Access -11%
8 Cassandra 131% Nov 2013 Nov 2016
9 Redis 183%
10 SQLite 42% http://db-engines.com/en/ranking_trend 26
26Digital Business Initiatives of Clients Embracing Open Source
NEW APPLICATION REPLACEMENT OF
CLOUD NATIVE
APPLICATIONS MODERNIZATION LEGACY DBMS
Digital Business Initiative
Short-term Medium-term Long-term
(0-6 months) (6-12 months) (12-18+ months)
Examples
Source: EnterpriseDB 27Leading Open Source DBs Available & Optimized for Linux
on Power
MongoDB RedisLabs
EnterpriseDB PostgreSQL
Neo4j Cassandra
MariaDB MySQL *
Spark IBM BigInsights
Hadoop Hortonworks
* MySQL Community 28POWER9: deep workload optimization Enterprise ‒ Large, flat, Scale-Up Systems ‒ Buffered memory for maximum capacity ‒ Leading RAS ‒ Improved caching Emerging Analytics, AI, Cognitive ‒ New core for stronger thread performance ‒ Delivers 2x compute resource per socket ‒ Built for acceleration – OpenPOWER solution enablement Technical / HPC ‒ Highest bandwidth GPU attach ‒ Advanced GPU/CPU interaction and memory sharing ‒ High bandwidth direct attach memory Cloud / HSDC ‒ Power / Packaging / Cost optimizations for a range of platforms ‒ Superior virtualization features: security, power management, QoS, interrupt ‒ State of the art IO technology for network and storage performance
A new Era of Computing has emerged
Cognitive Era
Smarter Planet
E-Business
Distributed
Computing Big Data &
Centralized Predictive Analytics Cognitive
Mainframes
Data
Office Warehousing
Productivity
Client/
Server
Personal
ERP Evolution
Computer
Data Reporting Context Insight
Transactional Business Big Data & Actionable Insight in
Database Intelligence Advanced Analytics contextWhat is SAP HANA? • Core of every strategic initiative at SAP • In Memory, columnar, massively parallel database processing • Converges online transaction processing (OLTP) and online analytical processing (OLAP) operations on a single data copy in one in-memory, • For full details access the SAP Paper “Rethink column-based data the Possible with the SAP HANA Platform” store Group Name / DOC ID / Month XX, 2017 / © 2017 IBM Corporation 31
Typical Client Reactions
- Many clients still have not deployed
S/4HANA
- 38% choosing on-premises in North
America
- Many still unsure about when, how, where
Group Name / DOC ID / Month XX, 2017 / © 2017 IBM Corporation 32• SAP HANA on IBM • Flexibility • Resiliency • Performance
Power Systems
• “Having all of our SAP • “We selected POWER8 servers • “Our IBM and SAP solutions
Value Proposition applications on the single, to support our new SAP HANA have improved our performance
• Flexibility through highly reliable IBM Power environment for the same while reducing the size and cost
Systems server platform helps reasons we have always of our environment.”
superior us standardize systems chosen the platform for our
virtualization and management and increase traditional SAP applications – • – Steve Parker, Director,
management productivity within the IT team.” scalability, stability, reliability, Application Development,
and performance.” Kennametal
• Resiliency with • – Manfred Gries, Team Leader
unsurpassed RAS Data Center Operations, HR • – Christian Otte, Server Center
for mission critical Group Manager, VEKA AG • “Using SAP HANA on IBM
SAP Power Systems enables us to
deliver cutting-edge click-and-
• Deliver faster • “Using IBM POWER8 systems • “With SAP HANA on IBM Power collect services with up-to-the-
business results with for the SAP HANA deployment Systems we can provide more second inventory data.”
the performance of gives us much more flexibility reliable services with less
than we had before.” operational support required.” • – Thomas Vielhauer, Head of
IBM Power Systems ERP Processes, Coop Group
• – Eric Thorwirth, Senior • – Léon van den Bogaert,
Manager Server Services, Manager Cloud Technology,
Bosch Ctac
Group Name / DOC ID / Month XX, 2017 / © 2017 IBM Corporation 33A new Era of Computing has emerged
Cognitive Era
Smarter Planet
E-Business
Distributed
Computing Big Data &
Centralized Predictive Analytics Cognitive
Mainframes
Data
Office Warehousing
Productivity
Client/
Server
Personal
ERP Evolution
Computer
Data Reporting Context Insight
Transactional Business Big Data & Actionable Insight in
Database Intelligence Advanced Analytics contextHigher accuracy
networks require
way higher
computation
which increases
prediction latency.
As neural networks go
deeper, they provide
a dramatic increase
in accuracy.DATA
PREPARATION DEPLOY & INFER
most time requires different
spent here skills
up and 9 days
running work Iterate
over a becomes faster and
quick 4 hours … Assisted do it again
time spent more
lunch parameter
drops from models selection and
80% to 30%
tuning
UP & RUNNING automation is the MAINTAIN
weeks to months ‘elixir’ for those BUILD, TRAIN, ACCURACY
looking to create OPTIMIZE experience all
new models, not that pain again
very iterative
maintain old onesenterprise-ready performance software distribution faster training times tools for ease built on open source for data scientists of development
IBM STORAGE SOLUTIONS i dati, … driver del business MATTEO MASCOLO Storage and SDI Client Technical Specialist - IBM Italia
“The world’s most valuable resource is Today’s architecture starts with multi-
no longer oil, but data.” cloud in mind…
• Extend data across infrastructures
• Choice, control and consistency
• Data access and reuse
8 out of 10 companies are
The Economist
May, 2017 committing to multi-cloud
71%
Organizations use 3+ different CloudsSoR-SoE Integration Systems of Insight Independent Workloads Portability and Optimization
CRM Traditional IT
CRM
HR HR Public
Systems
of
Public Private Private
Insight ERP
ERP
Systems of Application and/or data
Systems of Systems of record Systems of record Dev/Test Prod
engagement engagement are portable and can
go to and from public
Link new social and mobile systems Integration of data in the systems of Choose private, public or hybrid cloud based and private for
to core business systems engagement and systems of records on independent workload requirements improved optimization
Able to be implemented quickly, without infrastructure or application changes
More complex deployment, possibly requiring infrastructure or application changes
Disaster Recovery Reserve for capacity Backup Archive
(bursting)
Private Public Private Public Public Private Public Private
Data sync
Tap into public cloud
Use private cloud normally and switch to resources dynamically when Leverage off-premise resources for backup of Leverage off-premise resources for archive of
public cloud to recover files and data a shortage occurs on private cloud on-premises resources on-premises resourcesMulti-Cloud
Cloud-Native apps
“ Data-Driven, Multi-Cloud,
Software-Defined
architecture
Cloud-like On-Prem
Swap-Out to cloud
”
#Flexible
Extend to Cloud Data Portability between Private and Public Clouds
Secure and Compliant
High ROI Use Cases
#Modern
Service Level Driven
Software Defined and Flash Optimized
Modern Backup and Replication
#Agile
API Automation
Native DevOps Capable
Self ServiceEnabling hybrid cloud data services
Public Cloud
Private Cloud /
Traditional Data Center Service Provider
IBM Spectrum Virtualize
IBM Spectrum Protect
IBM Spectrum Control
IBM Spectrum Accelerate
IBM Spectrum Archive
IBM Spectrum Scale
IBM Spectrum CDM
IBM Cloud Object Storage
44Hybrid Cloud Storage Analytics
Disaster & Cognitive
Recovery Services
IBM and non-IBM Cloud
4Q17
2Q18
Backup & Archive Management & Cloud Cluster Virtualization
4Q17 2Q18
Backup VM Data Archive Monitoring Copy Data Private High- High- New-Gen
Availability & Control Management Cloud Performance Performance Workloads
Computing Analytics
1Q18 1Q18 2Q18 1Q17
2Q18 1Q17 1Q17
4Q17 1Q18
3Q17 3Q17 4Q17 1Q18
2Q17 2Q17 2Q17 2Q18
Infrastructure
1Q17 1Q17 1Q17 1Q17
1Q18
1Q18
3Q17 2Q18 4Q17 2Q17
1Q18 2Q18 1Q18
4Q17
Scale-Out Object Virtualized Block Scale-Out Block Acceleration Scale-Out NAS 2Q18
Scale-Out File High-End Serve, TL and VTL
1Q18
DS8886F DS8888F
DS8884F
3Q17 4Q17 1Q17
3Q17 4Q17 2Q17
FlashSystem 900
Storwize V5030F Storwize V7000F 2Q17 2Q17
4Q17 FlashSystem
FlashSystem 1Q17 1Q17
2Q17 V9000
A9000 2Q18 2Q18
2Q17
Storwize V5000 Storwize V7000 SAN Volume
3Q17 3Q17 2Q18 FlashSystem DS8886
Controller A9000R 3Q17
Elastic Storage 2Q18
DS8884
1Q18
Cloud Object 4Q17 Server 4Q17
Storage System
1Q18 2Q17
1Q18 1Q18 XIV Gen3
3Q17
1Q18
2Q18 2Q18 2Q17 1Q18
LTO8 & TS7700 TS2900 3Q17
Tape
Tape Drives Family Autoloader Libraries
1Q18
NVMe-F
4Q17 1Q18 2Q17 1Q17
NetworkingHybrid Cloud Storage Analytics
Disaster & Cognitive
Recovery Services
IBM and non-IBM Cloud
Backup & Archive Management & Cloud Cluster Virtualization
Backup VM Data Archive Monitoring Copy Data Private High- High- New-Gen
Availability & Control Management Cloud Performance Performance Workloads
Computing Analytics
Infrastructure
Scale-Out Object Virtualized Block Scale-Out Block Acceleration Scale-Out NAS Scale-Out File High-End Serve, TL and VTL
DS8886F DS8888F
DS8884F
FlashSystem 900
Storwize V5030F Storwize V7000F
FlashSystem
FlashSystem
V9000
A9000
Storwize V5000 Storwize V7000 SAN Volume FlashSystem DS8886
Controller A9000R Elastic Storage DS8884
Cloud Object Server
Storage System
XIV Gen3
LTO8 & TS7700 TS2900 Tape
Tape Drives Family Autoloader Libraries
NVMe-F
NetworkingIndustry standard interface
Hardware accelerated I/O
16 PPC CPUs
IO Modules IBM MicroLatency™ module
RAID
Controllers
Advanced flash management
Flash 12x
Modules
Industry standard chip technology
Acceleration
3D-TLC
with In-Line HW-Compression
FlashSystem 900
built in Microlatency modulesTiering to Cloud
- Tier by policy (backup/archive)
- Tier by date or version
- Leverage Spectrum Protect
in-line data reduction
BC/DR in Cloud
- Storage Replication
- Hyperswap
- Synch Replication
- Asynch Replication
- Backup data copy replicationManager ®
S3 Provision
Control
Manage #1
Accesser ®
Divide/Recollect
Encode
Encrypt
Disperse
Slicestor®
Store
Integrity-Check
Rebuild
Concentrated Mode (a On-Ramp to SM COS) – 72TB+
Compliance Enabled Vaults for WORM compliance
SEC 17a-4(f) FINRA Rule 4511 and CFTC 1.31(b)-(c)IBM Spectrum Virtualize 8.1.3
New Data Reduction Pool with
- In-Line Data Deduplication
- In-Line Data Compression
- SCSI Unmap Support
100% virtualization of
resources
Write
Cross-Site HA Caching
Virtualized Block Snapshot
RtC
Storwize V5030F Storwize V7000F
FlashSystem
V9000 Storage Hypervisor Thin
Storwize V5000 Storwize V7000 SAN Volume Provisioning
Controller
Easy-
Non-disruptive data migration
Tier
Mirroring and Copy-
ServicesNVMe-F
IBM is committed to provide end-to-end support of NVMe, to prepare your
infrastructure for the future
NVMe-F February 20, 2018: IBM announced NVMe-oF support for :
• Infiniband: IBM FlashSystem 900 (Through four 40Gb QDR InfiniBand
ports)
NVMe-F
HW-Readiness for NVMe-oF (with full capabilities to be later unlocked
by SW):
• FC HW-ready*: IBM FlashSystem FS900, A9000 /A9000R, V9000, IBM Storwize
V7000, IBM SVC (Through 16Gb FC adapter)
RDMA
Ethernet HW-ready**: IBM FlashSystem V9000, IBM Storwize V7000 and IBM SVC
FlashSystem 900
•
(Through 25GbE iSCSI adapter w/iWarp RDMA and 25GbE iSCSI adapter w/RoCE RDMA)
NVMe-F
NetworkingSimple
• Bare-metal or VMs
• Robust multitenant solution with no Scale-out
SPOF and self-balancing • Performance and capacity scale in
linear fashion (adding nodes)
• Upgrade without downtime
Low cost
$ • Run on commodity x86 servers
• Taylor file set for efficiency,
performance and protection
Enterprise NAS features
• Native NFS and SMB protocols
• Rich NAS functions (quota, snapshots,
tiering encryption, replication, retention)Application Re-Factoring & Modernization
Private
IBM Spectrum Connect
Cloud
“Simplifying multi-cloud management with a
bundled storage API common GUI”
Develop apps in
IBM Spectrum Access
the Public “A blueprint reference architecture for quick IBM
Cloud Cloud Private deployment”
Deploy apps in the
Private CloudStorage Analytics
& Cognitive
Services
IBM Support
Infrastructure
• Configuration best practices Team
• Environment analytics
• Predictive analytics
• Remote diagnostics Line of Business
• Faster time-to-resolution • Resource Grouping
• Customized Alerting
IBM Cloud
• One way communication
• Data at rest is AES 256-bit encrypted
https • Metadata “data lake” has no client identity information
• ISO/IEC 27001 ISM certified
• Single point of metadata collection
Storwize V5030F Storwize V7000F
Multiple IBM
systems supported
DS8000 Storwize V5000 Storwize V7000 FlashSystem FlashSystem SAN Volume XIV Gen3 FlashSystem FlashSystem 840, 900 VersaStack
V840, V9000 A9000 Controller A9000RStorage Analytics &
IBM StorageUtility Offering Cognitive Services
• Ready capacity when business dictates
• Pay for what’s used, when used
• Flex-up and flex-down monthly costs
• Powerful management capabilities of IBM Storage
Insight for predictability and forward planning
Storwize Family FlashSystem A9000/A9000R
IBM Cloud Object Storage FlashSystem FS900GDPR (-1 !) • Encryption • Data Placement and Tracking • Geo-Dispersion
• Data is the asset.
• Cognitive is the goal.
Cloud-Edge Colocation Infrastructure
• Multi-Cloud is the
platform.
Private
Cloud
• SDS is the foundation for
that platform.Ugo Iacopini Gen. Manager EUROLAB L’evoluzione dei Servizi IT
LA STORIA – I PRIMI ANNI
1989 2000
La Società nasce La complessità della La necessità del mercato di La EUROLAB è sempre
realtà dell’Information riferirsi a realtà localizzate stata qualificata come
da esperienze
Technology, richiedeva ed altamente specializzate Business Partner IBM
pluriennali,
competenze sempre più ha fatto sì che, in pochi su tutte le piattaforme
nazionali ed specifiche e capacità di anni, la EUROLAB abbia tecnologiche ricevendo
internazionali, integrazione multi-brand, potuto configurarsi come certificazioni e
nel settore dei attività su cui la una delle principali realtà riconoscimenti e
servizi e prodotti EUROLAB ha investito i indipendenti operanti collaborando allo sviluppo
collegati al mondo propri sforzi in termini di nel mercato di Marche, di progetti di integrazione e
IBM. skill e risorse. Abruzzo, Molise ed Umbria. consolidamento a livello
nazionale ed
internazionale.CHI SIAMO
CHIOGGI
SIAMO OGGI
200 30
Anni di esperienza Referenze nazionali
collettiva ed internazionali
100 2200
Certificazioni Device
aziendali installatiI SERVIZI CONSOLIDATI • EUROLAB sviluppa progettazioni di Alta- Affidabilità, Business-Continuity e Disaster Recovery ed è da più di 15 anni certificata ISO 9000 per la “progettazione di infrastrutture IT” • Offre servizi di System Management personalizzati, supporto tecnico/sistemistico di I°e II°livello per ambienti Host/Storage/SAN complessi • Gestisce Vendita, Installazione e Configurazione Sistemi Host e Storage (IBM e non) • Sviluppo progetti di integrazione, consolidamento, virtualizzazione
I SERVIZI CONSOLIDATI • Progettazione e realizzazione ambienti Storage e SAN • Progettazione e realizzazione reti LAN e WAN • Progettazione e realizzazione di ambienti di Sicurezza • Integrazione/assistenza ambienti operativi OS/400, AIX/UNIX, Windows, Linux, VmWare • Servizi sistemistici professionali • Corso di formazione professionale • Centro riparazioni - Manutenzione in loco • Integrazioni delle garanzie
I NOSTRI VALORI
I NOSTRI VALORI
I NOSTRI VALORI
I NOSTRI VALORI
I NOSTRI VALORI
EVOLUZIONE DEL MERCATO
I NUOVI SCENARI
I NUOVI SCENARI
MSP
Managed
Service
ProviderAccordo di collaborazione commerciale
DEDAGROUP Business Technology & Data Paolo Angelini General Manager Giorgio Pianesani Direttore Vendite Centro Nordest Enrico Tasquier Direttore Operations
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