hpe és suse alapú megoldások – gépteremtől a felhőig · hpe greenlake flex capacity –pay...
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HPE és SUSE alapú megoldások –gépteremtől a felhőig
Sept 2019
Molnár Zoltán ([email protected])Wahl László ([email protected])
SUSE products offered by HPE
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Product For…
SUSE Linux Enterprise Server General purpose
SLES for SAP Applications Any SAP applications
SLES for HPC HPC environments
SLE High Availability Extension High availability cluster add-on to SLES
SUSE Manager Comprehensive Linux Server Management
SUSE Enterprise Storage Highly scalable data storage built on CEPH
To learn more, visit SUSE website
Object Storage solutions from HPE
HPE Apollo for Ceph block/object
− Ceph is preferred by open-source users for
OpenStack deployments, esp. virtual machine
boot (block access)
− Ceph can be deployed in production for object
stores up to 1PB,using Swift and S3 access
− Ceph can do full-site asynchronous replication
for disaster recovery
Apollo 4200 Gen10 serverDrive bays and rack depth
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12+12 LFF or 24+24 SFFfront drive bays
2U standard rack depth
HPE Apollo 4510 Gen10 chassis
HDD drawer 1 extended
(HDD 1-30)
HDD drawer 2 (HDD 31-60)
Fits in HPE standard 1075 mm rack
Apollo 4510 Gen10 systemChassis
5HPE ProLiant XL450 Gen10 server
− New form factor
− Fits in smaller rack
− More processing cores
HPE Composable Fabric attach to ProLiant DL servers Perfect for machine-to-machine workloads
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HPE Composable Fabric
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Modern SDDC workloads are
100% machine-to-machinescale-out
Ceph Use Cases - SUSE Storage Solution for Disk-Based Backup
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Ceph Use Cases - High-Performance Computing (HPC) Storage
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HPE Persistent Memory Portfolio
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HPE Persistent Memory
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Processor CPU
CPU cache
SD-RAM/DDR-SDRAM
Physical memory
HPE Smart Memory
Solid-State Drives HPE Optane™ SSDHPE SSD
Solid-state memory
Mechanical Hard Drives
Virtual memory HPE Hard Drives
HPE Persistent Memory
Redefining the memory/storage hierarchy
HPE Persistent Memory What is phase-change memory?
11Memory bus connects main memory to the CPU memory controller
Phase-ChangeMemory Media
DDR4 Memory Bus
ApplicationsHPE Persistent
Memory
Intel Next-Generation Xeon
Processor
– Transistor-less
technology
– Higher density and
capacity
– Fast access time due
to low latency of the
media
– Inherently persistent
– Fast access to
memory in dim form
requires use of fast
DDR memory bus
– However, memory
bus not designed for
larger capacities or
persistent data
– Legacy app
pathways cannot
recognize persistent
quality of memory or
additional option to
place data
– App improvements
allow visibility to this
tier and ability to
send data in blocks,
meaning it can act as
small but super fast
storage device
Two configuration
options:
– Super-large
capacity memory
– Super-fast storage
device
– Integrated memory
controller needed
modifications in
order to handle
different types of
data and
communicate with
the DIMM
– Platinum, Gold (and
one Silver) CPUs
only
HPE Persistent MemoryWorkloads and applicable modes
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Cloud & VMS
Extended VMMemory Capacity
More VMs and Containers per
System
OS MemoryExtension
Storage
Super-fast Storage
Meta-data Management
Write Buffers
Caching Layers
Database
In-memory Database
DB Caching Tiers with higher Capacity
Logging
RDMA Replication
HPC
Larger Memory
Check-pointing
PMem over Fabric
File System Swap
AI/Analytics
Off-heap Memory
Real-time Analytics
Emerging Analytics Platforms
Machine Learning Analytics
Memory mode Memory or App Direct mode App Direct mode
Comms
Network Function Virtualization Infrastructure
CognitiveNetworking
Content Delivery Network (CDN)
Memory mode Memory or App Direct mode App Direct mode
Holds running programs and information the processor is currently using
Preserves data and programs for future uses
Highest PMM Affinity
HPE Persistent MemoryMemory mode
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1. “Fast performance comparable to DRAM” -Intel persistent memory is expected to perform at latencies near DDR4 DRAM. Benchmarks and proof points forthcoming. “low latencies” -Data transferred
across the memory bus causes latencies to be orders of magnitude lower when compared to transferring data across PCIeor I/O bus’to NAND/Hard Disk. Benchmarks and proof points forthcoming.
2. HPE persistent memory offers 3 different capacities –128GB, 256GB, 512GB. Individual DIMMs of DDR4 DRAM max out at 128GB.
3. A BIOS update will be required before using HPE DC Persistent Memory
Large memory capacity
– Up to 4x largest available DRAM
capacity
Easy deployment
– No software / application changes
required
Performance comparable to
DRAM at low latencies1
– Same as DRAM for cache hit
Data is volatile
– Volatile mode key cleared and
regenerated with each power cycle
DRAM used as persistent
memory cache
– Managed by memory controller
– Within same memory controller, not
across
2933 MT/s DRAM runs at slower
2666 MT/s speed
HPE Persistent MemoryApp Direct mode
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Persistent memory is used as
storage
– Resides on the memory sub-system
– Low latency, native persistence
– Recognized by OS as storage
Byte addressable like memory
– Up to 4x largest available DRAM
capacity
Significantly faster storage
– High availability, less downtime
– Move, store, and process larger data
sets closer to the processor
Higher cost storage relative
to NAND
– Better performance as a result of
residing on memory subsystem
DRAM used as main memory
– No additional memory benefits provided
by persistent memory
Occupies high value (and limited)
DIMM slots
Requires application
modifications to take full
advantage of persistent memory
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Use Case – Enterprise Storage PM development
- Now not need a flush call- Transactional- DK library handles of all- Multi platform support (C++,c#, Java, ect)
Use Case - SAP HANA Persistent Memory
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• SAP HANA focus is on leveraging memorymapping in NVM.PM.FILE mode whichenables direct access to persistent memoryusing CPU instructions
• Primary data store is data volume (in SAN or localstorage)
• Main is in 3D XPoint™ PM instead of DRAM and is nowpersistent On Restart: Main already in 3D XPoint™ PM,no need to load data from SAN
On HW failure: Backup server loads data from data volume
• Significant improvements in the database restart time• >5X improvement measured
The power of software-defined datacenter managementEnabling a broad ecosystem
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DevOps engine IT Ops engine
Facilities engineCloud engine
Developer toolkitsSoftware Defined Intelligence
Unified API
Fluid Resource Pools
Consume Hybrid to Edge - HPE GreenLakeConsume IT across your infrastructure, workloads, and multi-cloud environment
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– Pay per use consumption models,
across public and private clouds
– Services to operate your AWS or Azure
public cloud program
– Azure Stack private cloud, designed,
built, run, pay per use on-premises
HPE GreenLakeFlex Capacity
– Pay per use integrated solutions e.g.
Backup, Big Data, SAP and EDB
Postgres
– On premises solutions including
hardware, software, services with
simple outcome-based payment
– Designed, integrated and operated
for you
HPE GreenLake Workload Solutions
– Pay per use model on premises,
metered using
HPE IP
– Consumption of hardware
infrastructure or by Virtual Machines
– Enterprise grade support, active
capacity management
HPE GreenLake Hybrid Cloud
Hybrid Cloud
Private cloud
WorkloadAWS Azure
Infrastructure
Thank you
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