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Infraestructura definida por software
para el BigData empresarial
Presenter’s Name
Title
Company/Email
Juan Herrera - juan.herrera@suse.com
Noviembre 2017
SUSE Today1
AGENDA
BigData Features2
Management3
Cloud & Compute4
Storage5
ISV6
IHV7
SUMMARY8
SUSE Today
SUSE Software-defined Infrastructure solutions
An open, flexible infrastructure approach
28
Application Delivery
Custom Micro Service Applications
Kubernetes / Magnum
Physical Infrastructure: Server, Switches, Storage
Public Cloud
SUSE Cloud Service
Provider Program
Containers
SUSE CaaS Platform
Software Defined Everything
Storage
SUSE Enterprise
Storage
Networking
SDN and NFV
Virtualization
KVM, Xen, VMware,
and z/VM
Operating System
SUSE Linux Enterprise Server
Platform as a Service
Cloud Foundry
Private Cloud / IaaS
SUSE OpenStack Cloud
Operations,
Monitor and Patch
• SUSE Manager
• SUSE OpenStack Cloud
Monitoring
• openATTIC
Cluster
Deployment
• Crowbar
• Salt
Orchestration
• Heat
• Kubernetes
Management
Product Portfolio
5
Server and
Desktop
• SUSE Linux Enterprise Server
• SUSE Linux Enterprise Server
for System z and LinuxONE
• SUSE Linux Enterprise Server
for POWER
• SUSE Linux Enterprise Server
for ARM
• SUSE Linux Enterprise Server
for SAP Applications
• SUSE Linux Enterprise Server
for High Performance Computing
• SUSE Linux Enterprise
Real Time
• SUSE Linux Enterprise Server
with Expanded Support
• SUSE Linux Enterprise
Point of Service
• SUSE Linux Enterprise Desktop
Server
Extensions
• SUSE Linux Enterprise
High Availability Extension
• GEO Clustering for SUSE Linux
Enterprise High Availability
Extension
• SUSE Linux Enterprise
Workstation Extension
• SUSE Linux Enterprise
Virtual Machine Driver Pack
• Long Term Service Pack Support
• SUSE Linux Enterprise
Live Patching
Cloud, Containers,
Storage and
Management
• SUSE OpenStack Cloud
• SUSE Enterprise Storage
• SUSE Manager
• SUSE Manager Management
Pack for Microsoft System
Center
• SUSE Containers as a Service
Platform
• SUSE Platform as a Service1
• SUSE Studio
1 Q1 2018
Leading Technology Innovation
SUSE has been the first to:
• Develop enterprise Linux on SAP HANA, AWS and Azure public cloud
• Lead development of the commercial Linux market by delivering the first
commercially supported Linux distribution
• Allow instant rollback of operating system changes
• Pioneer continuous availability through live patching for mission-critical systems, including SAP HANA environments
• Deliver a Linux high availability solution that supports geographic mirroring with a broad set of redundancy
configurations
• Champion for simplified single system Linux configuration and management (Yast)
• Deliver the first commercially supported OpenStack distribution
• Bring an innovative approach to simplify the deployment of configurable infrastructure (OBS)
• Give consistent support on multiple system architectures by using a common code base
• Provide efficient multiple systems software and asset management built on leading open source technology such as
Salt
• Facilitate DevOps adoption through inclusion of Docker technology in SUSE Linux Enterprise Server
• Create the Portus project to simplify and secure management of Docker registries
150+
Support
Engineers
SUSE at a Glance
25+Years of Linux
Engineering
Experience
1stEnterprise Open
Stack Distribution
7000+
Certified
Applications
5000+
Global
Partners
2/3+of the Fortune Global
100 use SUSE Linux
Enterprise
20000+
Certified
Systems
18%
Revenue
Growth
29
Where
SUSE Leads
Linux in Automotive
10 of the largest global automobile mfgs.
are active SUSE customers
x10
Linux in Retail
7 out of 10 of the largest retailers in the
U.S. are active SUSE customers
7/10
Linux in Telecom
10 of the largest telecommunications
carriers rely on SUSE
x10
Linux in Pharma
7 out of 10 of the largest pharmaceutical
companies use SUSE Linux Enterprise
7/10
Linux in Aerospace
9 out of 10 of the largest aerospace
companies rely on SUSE
9/10
SAP on Linux
70% of all SAP applications running
on Linux run on SUSE
95% HANA systems based on
SUSE
70%
Linux in HPC
Half of the world’s 20 largest super
computers run on SUSE
50%
Linux in Large Enterprise
Over 80% of the Fortune Global 50 are
active SUSE Customers
80%
Mainframe Linux
Over 15 years of mainframe Linux
market share leadership
15+
Linux in Manufacturing
7 out of 10 world’s largest manufacturers
use SUSE Linux Enterprise
7/10
Linux in Finance
4 out of 5 of the world’s largest
banks use SUSE Linux Enterprise
4/5
30
Community
Involvement
9
YaST
Micro Focus International
7thLargest pure-play
software company
in the world.
40,000Customers
$4.4BAnnual Revenue
5,000+Partners
45+Countries
32
Why SUSE for BigData?
11
12
Why SUSE for BigData?
1. SUSE Linux Enterprise Server 12 has features that
optimize Big Data deployments
2. Systems management tools for full control of
deployment infrastructure
3. SUSE provides perfect-match provisioning
architectures for compute, container and storage
resources
4. SUSE has partnered with leading Big Data ISVs to
ensure SLES is a supported OS
5. SUSE is working with leading IHVs on reference
architectures and integrated solutions for Big Data
13
1. BigData Features
14
SUSE Linux Enterprise Server is the base
SUSE Linux Enterprise Server as a BigData
base OS is:
- Robust and Reliable
- Optimized for massively data-intensive
workloads.
- Largest lifecycle in the market
- Easy to install and configure
- Cloud ready
15
OS Requirements for BigData
BigData ready OS must provide:
High Availability
• Control & job scheduling nodes must be highly
available
Feature Set
• Scalability, performance tuning, security, data
access
Support
• Maintenance, security updates, critical issues
16
SUSE Linux High Availability
• Most up-to-date open-source HA stack
• Protects against Hadoop Name Node
single point of failure
• Nodes can be physical, virtual, or mixed
• All HA components included
(Filesystem, etc.)
17
11
Active
Name Node
Data Node Data Node Data Node
Standby
Name Node
SUSE HA Extension
Master- slave Architecture
SUSE Linux High Availability
• SUSE Linux Enterprise
HA Extension
– Most up-to-date
open-source HA stack
– Protects against Hadoop
Name Node single point
of failure
– Nodes can be physical,
virtual, or mixed
– All HA components
included (Filesystem,
etc.)
SLES 12 Big Data Features
• 4.0 kernel improves
performance
• I/O Throttling limits number of I/O streams
to avoid throughput delays Improved
support for hardware based RAS
capabilities
Scheduler and memory management
optimizations
Faster, more powerful control groups for
resource isolation
• Linux Container support for soft
partitioning of large physical systems
• Transparent Huge Pages
• kGraft Live Kernel Patching
• Scalability
• CPUs (8192), Filesystem and Storage
(XFS 8 EiB), Memory (1 PiB, 64TiB
certified)
• Security
• AppArmor proactively protects OS/apps
from external/internal threats CC/OSPP
EAL 4+ , FIPS 140-2 Certified
• Architecture Support
• x86, x86_64, Itanium, IBM POWER, IBM
z/Architecture and ARM64
18
2. Managing BigData Environments
19
Big Data Management Considerations
Large-scale deployment -> from 100’s or 1000’s of nodes
Traditional workload assignment methods don’t scale
Distributed systems installation & management
Consistent node installation is important
Patch & configuration management should be centralized
Multi-platform support
Many elements to Big Data environment -> Single source of support
reduces contention
20
SUSE Manager
21
Asset
Management
Provisioning
Redeployment
Configuration
Management Package
Management
Patch
Management
SUSE
Manager
HEALTH MONITORING
COMPLIANCESECURITY
• Centralized management solution
• Patch & configure compute nodes
• Heterogeneous software
environments
• Support multiple enterprise Linux
distributions
• Hardware & virtualized platform
agnostic
• VM’s & physical treated alike
Reduce Complexity and Regain Control of Your IT
22
Using a single tool to manage Linux system configuration and compliance across a
variety of hardware architectures, hypervisors and cloud platforms
Hypervisors
Private and
public cloud
Server
hardware
Storage
hardware
SUSE Linux
Enterprise
workload
Red Hat
Linux
workload
SUSE
Enterprise
Storage
SUSE
OpenStack
Cloud
SUSE Cloud
Application
Platform
SUSE
Containers as a
Service
Platform
SUSE
Manager
Deployed on Manages
Containerized
workloads
SUSE
Enterprise
Storage
SUSE
OpenStack
Cloud
SUSE Cloud
Application
Platform
SUSE
Containers as a
Service
Platform
SUSE
Manager
Deployed on Manages
Deploy and manage Hadoop with SUSE Manager
On physical, virtual or cloud environments
23
3.1 Compute for BigData
24
SUSE’s history with OpenStack
- Founding member and platinum sponsor of OpenStack Foundation
- First to launch an “enterprise-grade” OpenStack distribution in 2012
- Focused on making SUSE OpenStack Cloud the best private cloud
solution for enterprise business
Best Software defined SolutionData Centre Cloud Vendor of the Year
IaaS Solution of the Year
SUSE OpenStack Cloud
Answers all the data center challenges
SUSE OpenStack Cloud delivers:
− Flexibility to respond quickly & easily to new demands
− Increased agility, speed and efficiency
− An elastic platform for increased innovation
− Lower costs, faster ROI
− Greater control and security
− Self-service capabilities
− High quality services
2
7
2
8
Simplified BigData deployments with OpenStack Sahara
Use cases:
• Fast provisioning of data processing
clusters on OpenStack for development
and quality assurance(QA).
• Utilization of unused compute power from
a general purpose OpenStack IaaS cloud.
• “Analytics as a Service” for ad-hoc or
bursty analytic workloads
OpenStack Sahara – BigData frameworks
• Multiple Hadoop vendor distributions.
• Apache Spark and Storm.
• Integration with vendor specific management tools, such as Apache
Ambari and Cloudera Management Console.
• Pluggable system of Hadoop installation engines. Included plugins:
§ Vanilla Plugin - deploys Vanilla Apache Hadoop
§ Ambari Plugin - deploys Hortonworks Data Platform
§ Spark Plugin - deploys Apache Spark with Cloudera HDFS
§ MapR Distribution Plugin - deploys MapR plugin with MapR File System
§ Cloudera Plugin - deploys Cloudera Hadoop
29
OpenStack Sahara architecture
30
OpenStack
Services
Sahara
Services
3.2 Containers for BigData
31
What is SUSE Container as a Service Platform
32
SUSE Container as a Service Platform is an infrastructure platform for
containers that allows customers to provision, manage, and scale
container-based applications.
Goal:
Deliver a container application development and hosting platform that
automates the tedious management tasks allowing customers to
focus on development of applications and meet their business goals
faster.
SUSE CaaS Platform has 3 key components
33
OS for
Containers
MicroOS
Orchestration
Kubernetes
Configuration
Salt, Container
Engines
SUSE CaaS Platform
34
SLES
Automation (Salt + cloud-init)
Configuration & Management of each node
Persistent Storage
(local disk, NFS,
SES)
Networking Registry Security Logging
Orchestration (Kubernetes) Services (e.g. Deployment Dashboard)
Container Container Container Container Container Container Container Container Container
Container Runtime & Packaging
SUSE Linux Enterprise MicroOS (Container Host OS)
(Physical) Infrastructure
Orchestration with Kubernetes
35
Complete solution for container based workloads
Deploy, Scale, Manage
Self-healing
Avoid vendor-lock-in
Dashboard + Command line capabilities Open Source
Project
Kubernetes
Kubernetes and BigData
36
• Additional resources optimization
• Declarative & scalable deployments
• Unique features: StatefulSets, (Anti)Affinity, Volume management, …
• Hundreds of reference deployments and architectures covering:
Hadoop, Spark, Kafka, ZooKeeper, ELK, SAP Vora, …
3.3 Storage for BigData
37
SUSE Enterprise Storage
38
An intelligent software-defined storage management solution,
powered by Ceph technology, that enables IT to transform their
enterprise storage infrastructure to deliver highly scalable and
resilient storage that is cost-efficient and able to seamlessly adapt
to changing business and data demands
SUSE Enterprise Storage
Seamlessly	adapt	to	changing	business	and	data	demands
39
• Reduces	IT	capital	and	operational	costs	with	an	
intelligent	software-defined	storage	management	
solution
• Delivers	resilient	storage	environment	
• Unlimited	scalability
• Consolidates	block,	object	and	file	storage	requirements
• Utilizes	commodity	off	the	shelf	hardware	
• Open
• Best	solution	of	OpenStack,	Large	Data	and	bulk	storage	
requirements
Open Source Ceph as the Base - Architecture
Client Servers
(Windows, Linux, Unix)
RADOS (Common Object Store)
Block Devices
Server
Object Storage File Interface
Storage Server Storage Server Storage Server Storage Server
Server
Server
Storage Server Storage Server
Applications File Share
OSD OSD OSD OSD OSD OSD
NetworkCluster
MON
RBD
iSCSI
S3
SWIFT
CephFS
NFS
Monitors
MONMON
Block
Storage
File
System
Object
Storage
Truly Unified – Supports Object, Block and File System
Storage in the Same Cluster
Data Encrypted
at RestMonitor
Nodes
Management
Node
Heterogeneous
OS Access
Automated
management
Major new features and benefits with SUSE Enterprise
Storage 5.
• Advanced graphical user interface for simplified management and improved cost
efficiency, using the openATTIC open source storage management system.
42
SUSE Enterprise Storage 5 – Major Feature Summary
43
Perfect fit for Large Data Use Cases
Video Surveillance Virtual Machine
Storage
Bulk Storage Data Archive
File System Use Cases
45
Object Storage Use Cases
46
Block Use Cases
47
48
Ceph as HDFS replacement
• Increase Hadoop Cluster Performance
• Scale Compute and Storage solutions in Efficient Ways
• Single Point of Failure event in Hadoop Architecture
*
Source: Mellanox http://www.mellanox.com/related-docs/whitepapers/wp_hadoop_on_cephfs.pdf
4. BigData ISVs / Partners
49
Big Data partners
Certified and recommend SUSE Linux Enterprise Server as operating system for
their solutions.
• SAP Hana & Vora
• Vertica
• Teradata
• Cloudera
• Hortonworks
• MapR
• InterSystems
• MongoDB
• Revolution Analytics
50
5. BigData IHV
51
Reference architectures
52
SUSE in the Modern Data Architecture 
Key Features 
 
• SUSE Linux Enterp
provides a solid en
foundation for HD
• SUSE Manager an
provide tools for d
managing your big
• SUSE Cloud provid
get started deploy
OpenStack 
 
 
 
 
 
 
 
 
Summary
53
SUSE & BigData: Summary
§ SUSE addresses Big Data requirements
§ SLES is a flexible, available platform
§ High performance, large data access capabilities
§ #1-rated support
§ SUSE Manager for multi-system management
§ SUSE Cloud for distributed deployment
§ SUSE Kubernetes for bleeding edge deployment architectures
§ SUSE Storage for resilient and unlimited scale data management
§ Big Data ISVs support SUSE as underlying OS including Cloudera,
Hortonworks, Intel, …
§ Solution partners have chosen SUSE for integrated Big Data solutions
including SAP, Teradata, and Intersystems
§ Part of Microfocus group with top level solutions like Vertica
54
SUSE: Infraestructura definida por software para BigData

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SUSE: Infraestructura definida por software para BigData

  • 1. Infraestructura definida por software para el BigData empresarial Presenter’s Name Title Company/Email Juan Herrera - juan.herrera@suse.com Noviembre 2017
  • 2. SUSE Today1 AGENDA BigData Features2 Management3 Cloud & Compute4 Storage5 ISV6 IHV7 SUMMARY8
  • 4. SUSE Software-defined Infrastructure solutions An open, flexible infrastructure approach 28 Application Delivery Custom Micro Service Applications Kubernetes / Magnum Physical Infrastructure: Server, Switches, Storage Public Cloud SUSE Cloud Service Provider Program Containers SUSE CaaS Platform Software Defined Everything Storage SUSE Enterprise Storage Networking SDN and NFV Virtualization KVM, Xen, VMware, and z/VM Operating System SUSE Linux Enterprise Server Platform as a Service Cloud Foundry Private Cloud / IaaS SUSE OpenStack Cloud Operations, Monitor and Patch • SUSE Manager • SUSE OpenStack Cloud Monitoring • openATTIC Cluster Deployment • Crowbar • Salt Orchestration • Heat • Kubernetes Management
  • 5. Product Portfolio 5 Server and Desktop • SUSE Linux Enterprise Server • SUSE Linux Enterprise Server for System z and LinuxONE • SUSE Linux Enterprise Server for POWER • SUSE Linux Enterprise Server for ARM • SUSE Linux Enterprise Server for SAP Applications • SUSE Linux Enterprise Server for High Performance Computing • SUSE Linux Enterprise Real Time • SUSE Linux Enterprise Server with Expanded Support • SUSE Linux Enterprise Point of Service • SUSE Linux Enterprise Desktop Server Extensions • SUSE Linux Enterprise High Availability Extension • GEO Clustering for SUSE Linux Enterprise High Availability Extension • SUSE Linux Enterprise Workstation Extension • SUSE Linux Enterprise Virtual Machine Driver Pack • Long Term Service Pack Support • SUSE Linux Enterprise Live Patching Cloud, Containers, Storage and Management • SUSE OpenStack Cloud • SUSE Enterprise Storage • SUSE Manager • SUSE Manager Management Pack for Microsoft System Center • SUSE Containers as a Service Platform • SUSE Platform as a Service1 • SUSE Studio 1 Q1 2018
  • 6. Leading Technology Innovation SUSE has been the first to: • Develop enterprise Linux on SAP HANA, AWS and Azure public cloud • Lead development of the commercial Linux market by delivering the first commercially supported Linux distribution • Allow instant rollback of operating system changes • Pioneer continuous availability through live patching for mission-critical systems, including SAP HANA environments • Deliver a Linux high availability solution that supports geographic mirroring with a broad set of redundancy configurations • Champion for simplified single system Linux configuration and management (Yast) • Deliver the first commercially supported OpenStack distribution • Bring an innovative approach to simplify the deployment of configurable infrastructure (OBS) • Give consistent support on multiple system architectures by using a common code base • Provide efficient multiple systems software and asset management built on leading open source technology such as Salt • Facilitate DevOps adoption through inclusion of Docker technology in SUSE Linux Enterprise Server • Create the Portus project to simplify and secure management of Docker registries
  • 7. 150+ Support Engineers SUSE at a Glance 25+Years of Linux Engineering Experience 1stEnterprise Open Stack Distribution 7000+ Certified Applications 5000+ Global Partners 2/3+of the Fortune Global 100 use SUSE Linux Enterprise 20000+ Certified Systems 18% Revenue Growth 29
  • 8. Where SUSE Leads Linux in Automotive 10 of the largest global automobile mfgs. are active SUSE customers x10 Linux in Retail 7 out of 10 of the largest retailers in the U.S. are active SUSE customers 7/10 Linux in Telecom 10 of the largest telecommunications carriers rely on SUSE x10 Linux in Pharma 7 out of 10 of the largest pharmaceutical companies use SUSE Linux Enterprise 7/10 Linux in Aerospace 9 out of 10 of the largest aerospace companies rely on SUSE 9/10 SAP on Linux 70% of all SAP applications running on Linux run on SUSE 95% HANA systems based on SUSE 70% Linux in HPC Half of the world’s 20 largest super computers run on SUSE 50% Linux in Large Enterprise Over 80% of the Fortune Global 50 are active SUSE Customers 80% Mainframe Linux Over 15 years of mainframe Linux market share leadership 15+ Linux in Manufacturing 7 out of 10 world’s largest manufacturers use SUSE Linux Enterprise 7/10 Linux in Finance 4 out of 5 of the world’s largest banks use SUSE Linux Enterprise 4/5 30
  • 10. Micro Focus International 7thLargest pure-play software company in the world. 40,000Customers $4.4BAnnual Revenue 5,000+Partners 45+Countries 32
  • 11. Why SUSE for BigData? 11
  • 12. 12
  • 13. Why SUSE for BigData? 1. SUSE Linux Enterprise Server 12 has features that optimize Big Data deployments 2. Systems management tools for full control of deployment infrastructure 3. SUSE provides perfect-match provisioning architectures for compute, container and storage resources 4. SUSE has partnered with leading Big Data ISVs to ensure SLES is a supported OS 5. SUSE is working with leading IHVs on reference architectures and integrated solutions for Big Data 13
  • 15. SUSE Linux Enterprise Server is the base SUSE Linux Enterprise Server as a BigData base OS is: - Robust and Reliable - Optimized for massively data-intensive workloads. - Largest lifecycle in the market - Easy to install and configure - Cloud ready 15
  • 16. OS Requirements for BigData BigData ready OS must provide: High Availability • Control & job scheduling nodes must be highly available Feature Set • Scalability, performance tuning, security, data access Support • Maintenance, security updates, critical issues 16
  • 17. SUSE Linux High Availability • Most up-to-date open-source HA stack • Protects against Hadoop Name Node single point of failure • Nodes can be physical, virtual, or mixed • All HA components included (Filesystem, etc.) 17 11 Active Name Node Data Node Data Node Data Node Standby Name Node SUSE HA Extension Master- slave Architecture SUSE Linux High Availability • SUSE Linux Enterprise HA Extension – Most up-to-date open-source HA stack – Protects against Hadoop Name Node single point of failure – Nodes can be physical, virtual, or mixed – All HA components included (Filesystem, etc.)
  • 18. SLES 12 Big Data Features • 4.0 kernel improves performance • I/O Throttling limits number of I/O streams to avoid throughput delays Improved support for hardware based RAS capabilities Scheduler and memory management optimizations Faster, more powerful control groups for resource isolation • Linux Container support for soft partitioning of large physical systems • Transparent Huge Pages • kGraft Live Kernel Patching • Scalability • CPUs (8192), Filesystem and Storage (XFS 8 EiB), Memory (1 PiB, 64TiB certified) • Security • AppArmor proactively protects OS/apps from external/internal threats CC/OSPP EAL 4+ , FIPS 140-2 Certified • Architecture Support • x86, x86_64, Itanium, IBM POWER, IBM z/Architecture and ARM64 18
  • 19. 2. Managing BigData Environments 19
  • 20. Big Data Management Considerations Large-scale deployment -> from 100’s or 1000’s of nodes Traditional workload assignment methods don’t scale Distributed systems installation & management Consistent node installation is important Patch & configuration management should be centralized Multi-platform support Many elements to Big Data environment -> Single source of support reduces contention 20
  • 21. SUSE Manager 21 Asset Management Provisioning Redeployment Configuration Management Package Management Patch Management SUSE Manager HEALTH MONITORING COMPLIANCESECURITY • Centralized management solution • Patch & configure compute nodes • Heterogeneous software environments • Support multiple enterprise Linux distributions • Hardware & virtualized platform agnostic • VM’s & physical treated alike
  • 22. Reduce Complexity and Regain Control of Your IT 22 Using a single tool to manage Linux system configuration and compliance across a variety of hardware architectures, hypervisors and cloud platforms Hypervisors Private and public cloud Server hardware Storage hardware SUSE Linux Enterprise workload Red Hat Linux workload SUSE Enterprise Storage SUSE OpenStack Cloud SUSE Cloud Application Platform SUSE Containers as a Service Platform SUSE Manager Deployed on Manages Containerized workloads SUSE Enterprise Storage SUSE OpenStack Cloud SUSE Cloud Application Platform SUSE Containers as a Service Platform SUSE Manager Deployed on Manages
  • 23. Deploy and manage Hadoop with SUSE Manager On physical, virtual or cloud environments 23
  • 24. 3.1 Compute for BigData 24
  • 25. SUSE’s history with OpenStack - Founding member and platinum sponsor of OpenStack Foundation - First to launch an “enterprise-grade” OpenStack distribution in 2012 - Focused on making SUSE OpenStack Cloud the best private cloud solution for enterprise business Best Software defined SolutionData Centre Cloud Vendor of the Year IaaS Solution of the Year
  • 26. SUSE OpenStack Cloud Answers all the data center challenges SUSE OpenStack Cloud delivers: − Flexibility to respond quickly & easily to new demands − Increased agility, speed and efficiency − An elastic platform for increased innovation − Lower costs, faster ROI − Greater control and security − Self-service capabilities − High quality services
  • 27. 2 7
  • 28. 2 8 Simplified BigData deployments with OpenStack Sahara Use cases: • Fast provisioning of data processing clusters on OpenStack for development and quality assurance(QA). • Utilization of unused compute power from a general purpose OpenStack IaaS cloud. • “Analytics as a Service” for ad-hoc or bursty analytic workloads
  • 29. OpenStack Sahara – BigData frameworks • Multiple Hadoop vendor distributions. • Apache Spark and Storm. • Integration with vendor specific management tools, such as Apache Ambari and Cloudera Management Console. • Pluggable system of Hadoop installation engines. Included plugins: § Vanilla Plugin - deploys Vanilla Apache Hadoop § Ambari Plugin - deploys Hortonworks Data Platform § Spark Plugin - deploys Apache Spark with Cloudera HDFS § MapR Distribution Plugin - deploys MapR plugin with MapR File System § Cloudera Plugin - deploys Cloudera Hadoop 29
  • 31. 3.2 Containers for BigData 31
  • 32. What is SUSE Container as a Service Platform 32 SUSE Container as a Service Platform is an infrastructure platform for containers that allows customers to provision, manage, and scale container-based applications. Goal: Deliver a container application development and hosting platform that automates the tedious management tasks allowing customers to focus on development of applications and meet their business goals faster.
  • 33. SUSE CaaS Platform has 3 key components 33 OS for Containers MicroOS Orchestration Kubernetes Configuration Salt, Container Engines
  • 34. SUSE CaaS Platform 34 SLES Automation (Salt + cloud-init) Configuration & Management of each node Persistent Storage (local disk, NFS, SES) Networking Registry Security Logging Orchestration (Kubernetes) Services (e.g. Deployment Dashboard) Container Container Container Container Container Container Container Container Container Container Runtime & Packaging SUSE Linux Enterprise MicroOS (Container Host OS) (Physical) Infrastructure
  • 35. Orchestration with Kubernetes 35 Complete solution for container based workloads Deploy, Scale, Manage Self-healing Avoid vendor-lock-in Dashboard + Command line capabilities Open Source Project Kubernetes
  • 36. Kubernetes and BigData 36 • Additional resources optimization • Declarative & scalable deployments • Unique features: StatefulSets, (Anti)Affinity, Volume management, … • Hundreds of reference deployments and architectures covering: Hadoop, Spark, Kafka, ZooKeeper, ELK, SAP Vora, …
  • 37. 3.3 Storage for BigData 37
  • 38. SUSE Enterprise Storage 38 An intelligent software-defined storage management solution, powered by Ceph technology, that enables IT to transform their enterprise storage infrastructure to deliver highly scalable and resilient storage that is cost-efficient and able to seamlessly adapt to changing business and data demands
  • 39. SUSE Enterprise Storage Seamlessly adapt to changing business and data demands 39 • Reduces IT capital and operational costs with an intelligent software-defined storage management solution • Delivers resilient storage environment • Unlimited scalability • Consolidates block, object and file storage requirements • Utilizes commodity off the shelf hardware • Open • Best solution of OpenStack, Large Data and bulk storage requirements
  • 40. Open Source Ceph as the Base - Architecture Client Servers (Windows, Linux, Unix) RADOS (Common Object Store) Block Devices Server Object Storage File Interface Storage Server Storage Server Storage Server Storage Server Server Server Storage Server Storage Server Applications File Share OSD OSD OSD OSD OSD OSD NetworkCluster MON RBD iSCSI S3 SWIFT CephFS NFS Monitors MONMON
  • 41. Block Storage File System Object Storage Truly Unified – Supports Object, Block and File System Storage in the Same Cluster Data Encrypted at RestMonitor Nodes Management Node Heterogeneous OS Access Automated management
  • 42. Major new features and benefits with SUSE Enterprise Storage 5. • Advanced graphical user interface for simplified management and improved cost efficiency, using the openATTIC open source storage management system. 42
  • 43. SUSE Enterprise Storage 5 – Major Feature Summary 43
  • 44. Perfect fit for Large Data Use Cases Video Surveillance Virtual Machine Storage Bulk Storage Data Archive
  • 45. File System Use Cases 45
  • 46. Object Storage Use Cases 46
  • 48. 48 Ceph as HDFS replacement • Increase Hadoop Cluster Performance • Scale Compute and Storage solutions in Efficient Ways • Single Point of Failure event in Hadoop Architecture * Source: Mellanox http://www.mellanox.com/related-docs/whitepapers/wp_hadoop_on_cephfs.pdf
  • 49. 4. BigData ISVs / Partners 49
  • 50. Big Data partners Certified and recommend SUSE Linux Enterprise Server as operating system for their solutions. • SAP Hana & Vora • Vertica • Teradata • Cloudera • Hortonworks • MapR • InterSystems • MongoDB • Revolution Analytics 50
  • 52. Reference architectures 52 SUSE in the Modern Data Architecture  Key Features    • SUSE Linux Enterp provides a solid en foundation for HD • SUSE Manager an provide tools for d managing your big • SUSE Cloud provid get started deploy OpenStack                 
  • 54. SUSE & BigData: Summary § SUSE addresses Big Data requirements § SLES is a flexible, available platform § High performance, large data access capabilities § #1-rated support § SUSE Manager for multi-system management § SUSE Cloud for distributed deployment § SUSE Kubernetes for bleeding edge deployment architectures § SUSE Storage for resilient and unlimited scale data management § Big Data ISVs support SUSE as underlying OS including Cloudera, Hortonworks, Intel, … § Solution partners have chosen SUSE for integrated Big Data solutions including SAP, Teradata, and Intersystems § Part of Microfocus group with top level solutions like Vertica 54