SteelEye is a high availability and disaster recovery solution that has been optimized for x86, virtualization, and cloud environments. It supports various Linux distributions and configurations including 1:1, N:1, and DR. It ensures business continuity through automated failover and efficient block-level data replication. The solution provides intuitive wizards and a GUI for easy installation, configuration, and management of HA failover, data replication, and DR from a single solution.
Oracle Automatic Storage Management has proven to be one of the most widely adopted new features in Oracle Database 10g and it has been dramatically improved in the later 11g releases. This presentation will explain what changes are solved by ASM, how these challenges are solved, what barriers there are to ASM adoptions, and how 11g Release 2 addresses these barriers.
VMWare Lab For Training and Testing: As our IT infrastructure grows in complexity and new products are released every so often, we are faced with the same expectations to deliver tested and innovative IT environment while reducing the cost and speeding up the whole process of testing and training. Now, this is a real challenge if you don’t have all of the resources!
So, how can you reduce the cost, the time to plan, install, configure, validate and support complex virtual labs for training, practice or proof of concept? It’s time for a breakthrough, innovative solution…called: Cloud-Based VMWare Lab http://viadmin.com/pages/VMWare-Practice-Lab-at-Home.html!
Strong Oracle Database 12c performance is vital to the state of your business. Virtualizing such important workloads requires a reliable and high-performing virtualization platform, along with the right servers and storage. EMC, Cisco and VMware offer proven technologies to meet this need. In addition, newer technologies like vFRC can have a positive impact on database performance by offloading some of the storage I/O onto the local server. This can be beneficial to the intended application and has the potential to improve all applications in a mixed workload environment over time by relieving pressure on shared storage resources.
In our tests, we found that the new release of VMware vSphere 5.5 provided a new feature, vSphere Flash Read Cache, that decrease TPC-H-like OLAP workload processing time by 14 percent. We also found that running these workloads on Oracle Database 12c with the new feature didn’t affect the ability of administrators to complete routine vMotion tasks; with vSphere Flash Read Cache enabled during a vMotion, the migration went smoothly and vFRC continued to cache after the migration completed. This means that the combination of VMware vSphere 5.5 platform, Cisco UCS B200 M3 servers, and EMC VMAX 10K storage was able to provide improved Oracle Database 12c performance using the new vSphere Flash Read Cache feature, which improves the reliability and database response times you deliver for customers and employees alike.
XPDS16: High-Performance Virtualization for HPC Cloud on Xen - Jun Nakajima &...The Linux Foundation
We have been working to get Xen up and running on self-boot Intel® Xeon Phi processors to build HPC clouds. We see several challenges because of the unique (but not unusual for HPC) hardware technologies and performance requirements. For example, such hardware technologies include 1) >256 CPUs, 2) MCDRAM (high-bandwidth memory), 3) integrated fabric (i.e. Intel® Omni-Path). Unlike the “coprocessor“ model, supporting self-boot with >256 CPUs has various implications to Xen, including scheduling and scalability. We need to allow user applications to use MCDRAM directly to perform optimally. Also, we need to enable the integrated HPC fabric for the VM to use by direct I/O assignment.
In addition, we have only a single VM on each node to meet the high-performance requirements of HPC clouds. This (i.e. non-shared) model allowed us to optimize Xen more. In this talk, we share our design and lessons, and discuss the options we considered to achieve high-performance virtualization for HPC.
Exadata has been around since 2008 and the software features are being enhanced each release. This Presentation talks about the 12.1.x.x series of Software updates and some of the things you can now do with Exadata
Percona Live 4/14/15: Leveraging open stack cinder for peak application perfo...Tesora
In this session, speakers Amrith Kumar (Tesora), Steven Walchek (SolidFire), and Chris Merz (SolidFire) discuss Cinder, the OpenStack block storage service, and OpenStack Trove.
Cost Effectively Run Multiple Oracle Database Copies at Scale NetApp
Scaling multiple databases with a single legacy storage system works well from a cost perspective, but workload conflicts and hardware contention make these solutions an unattractive choice for anything but low-performance applications.
Oracle Automatic Storage Management has proven to be one of the most widely adopted new features in Oracle Database 10g and it has been dramatically improved in the later 11g releases. This presentation will explain what changes are solved by ASM, how these challenges are solved, what barriers there are to ASM adoptions, and how 11g Release 2 addresses these barriers.
VMWare Lab For Training and Testing: As our IT infrastructure grows in complexity and new products are released every so often, we are faced with the same expectations to deliver tested and innovative IT environment while reducing the cost and speeding up the whole process of testing and training. Now, this is a real challenge if you don’t have all of the resources!
So, how can you reduce the cost, the time to plan, install, configure, validate and support complex virtual labs for training, practice or proof of concept? It’s time for a breakthrough, innovative solution…called: Cloud-Based VMWare Lab http://viadmin.com/pages/VMWare-Practice-Lab-at-Home.html!
Strong Oracle Database 12c performance is vital to the state of your business. Virtualizing such important workloads requires a reliable and high-performing virtualization platform, along with the right servers and storage. EMC, Cisco and VMware offer proven technologies to meet this need. In addition, newer technologies like vFRC can have a positive impact on database performance by offloading some of the storage I/O onto the local server. This can be beneficial to the intended application and has the potential to improve all applications in a mixed workload environment over time by relieving pressure on shared storage resources.
In our tests, we found that the new release of VMware vSphere 5.5 provided a new feature, vSphere Flash Read Cache, that decrease TPC-H-like OLAP workload processing time by 14 percent. We also found that running these workloads on Oracle Database 12c with the new feature didn’t affect the ability of administrators to complete routine vMotion tasks; with vSphere Flash Read Cache enabled during a vMotion, the migration went smoothly and vFRC continued to cache after the migration completed. This means that the combination of VMware vSphere 5.5 platform, Cisco UCS B200 M3 servers, and EMC VMAX 10K storage was able to provide improved Oracle Database 12c performance using the new vSphere Flash Read Cache feature, which improves the reliability and database response times you deliver for customers and employees alike.
XPDS16: High-Performance Virtualization for HPC Cloud on Xen - Jun Nakajima &...The Linux Foundation
We have been working to get Xen up and running on self-boot Intel® Xeon Phi processors to build HPC clouds. We see several challenges because of the unique (but not unusual for HPC) hardware technologies and performance requirements. For example, such hardware technologies include 1) >256 CPUs, 2) MCDRAM (high-bandwidth memory), 3) integrated fabric (i.e. Intel® Omni-Path). Unlike the “coprocessor“ model, supporting self-boot with >256 CPUs has various implications to Xen, including scheduling and scalability. We need to allow user applications to use MCDRAM directly to perform optimally. Also, we need to enable the integrated HPC fabric for the VM to use by direct I/O assignment.
In addition, we have only a single VM on each node to meet the high-performance requirements of HPC clouds. This (i.e. non-shared) model allowed us to optimize Xen more. In this talk, we share our design and lessons, and discuss the options we considered to achieve high-performance virtualization for HPC.
Exadata has been around since 2008 and the software features are being enhanced each release. This Presentation talks about the 12.1.x.x series of Software updates and some of the things you can now do with Exadata
Percona Live 4/14/15: Leveraging open stack cinder for peak application perfo...Tesora
In this session, speakers Amrith Kumar (Tesora), Steven Walchek (SolidFire), and Chris Merz (SolidFire) discuss Cinder, the OpenStack block storage service, and OpenStack Trove.
Cost Effectively Run Multiple Oracle Database Copies at Scale NetApp
Scaling multiple databases with a single legacy storage system works well from a cost perspective, but workload conflicts and hardware contention make these solutions an unattractive choice for anything but low-performance applications.
Enterprises, mid-market, and SMBs all have one thing in common: their business applications are critical. Companies of all sizes are running SAP, Oracle, Exchange, and many other business applications in the cloud to simplify infrastructure management, deploy more quickly, and lower cost. AWS offers a reliable and flexible cloud infrastructure platform that enables customers to run any type of Windows or Linux based business application, from small departmental solutions to world-wide mission-critical production ERP (remove) systems in a secure, scalable and robust environment. Come along to this session to learn how large scale systems like SAP, Oracle, Microsoft and others are being used by enterprise customers of all shapes and sizes. In this session you will discover some of the challenges and approaches that will make you successful in deploying and operating these systems on AWS. This is a must session for enterprise customers that are looking at moving material workloads into the cloud.
Speaker: Nam Je Cho, Solutions Architect, Amazon Web Services
Microsoft released SQL Azure more than two years ago - that's enough time for testing (I hope!). So, are you ready to move your data to the Cloud? If you’re considering a business (i.e. a production environment) in the Cloud, you need to think about methods for backing up your data, a backup plan for your data and, eventually, restoring with Red Gate Cloud Services. In this session, you’ll see the differences, functionality, restrictions, and opportunities in SQL Azure and On-Premise SQL Server 2008/2008 R2/2012. We’ll consider topics such as how to be prepared for backup and restore, and which parts of a cloud environment are most important: keys, triggers, indexes, prices, security, service level agreements, etc.
VMworld 2015: Advanced SQL Server on vSphereVMworld
Microsoft SQL Server is one of the most widely deployed “apps” in the market today and is used as the database layer for a myriad of applications, ranging from departmental content repositories to large enterprise OLTP systems. Typical SQL Server workloads are somewhat trivial to virtualize; however, business critical SQL Servers require careful planning to satisfy performance, high availability, and disaster recovery requirements. It is the design of these business critical databases that will be the focus of this breakout session. You will learn how build high-performance SQL Server virtual machines through proper resource allocation, database file management, and use of all-flash storage like XtremIO. You will also learn how to protect these critical systems using a combination of SQL Server and vSphere high availability features. For example, did you know you can vMotion shared-disk Windows Failover Cluster nodes? You can in vSphere 6! Finally, you will learn techniques for rapid deployment, backup, and recovery of SQL Server virtual machines using an all-flash array.
Microsoft Azure zmienia się. Jego częśc poświęcona bazie danych (Windows Azure SQL Database) zmienia się jeszcze szybciej. Podczas tej sesji chciałbym pokazac tym, którzy nie widzieli, oraz przypomniec tym, którzy już coś wiedzą - o co chodzi z WASD, jakie zmiany nastapiły i czego możemy po tej bazie oczekiwać. Dla odważnych będzie okazja podłączenia się do konta w chmurze i przetestowania ych rozwiązań samemu.
Leveraging OpenStack Cinder for Peak Application PerformanceNetApp
Deploying performance sensitive, database-driven applications in OpenStack can be tenuous if you are unsure how to utilize the Cinder API to get the most out of your OpenStack block storage.
This presentation:
Introduces Cinder, the OpenStack block storage service
Talks about the unique attributes of performance-sensitive applications and what this means in OpenStack
Walks you through how to use Cinder volume types and extra specs to guarantee performance to your various cloud workloads
Discusses OpenStack Trove and what it means for running database as a service in your OpenStack cloud
VMworld 2013: Virtualizing Databases: Doing IT Right VMworld
VMworld 2013
Michael Corey, Ntirety, Inc
Jeff Szastak, VMware
Learn more about VMworld and register at http://www.vmworld.com/index.jspa?src=socmed-vmworld-slideshare
Big Data, Big Projects, Big Mistakes: How to Jumpstart and Deliver with SuccessAltoros
Watch this presentation by Andrei Yurkevich, Altoros's President and CTO, to know what are the main challenges causing a big data project fail. Reveal a strategy that can help you to mitigate risks when planning a large-scale long-term project. Enjoy vivid examples that show the mistakes Altoros made and learn how all the issues were overcome with a prototype.
See more at http://blog.altoros.com/big-data-analytics-2013-in-london.html
VMworld 2013: IBM Solutions for VMware Virtual SAN VMworld
VMworld 2013
Eric Deadwyler, IBM
Joseph Russell, VMware
Learn more about VMworld and register at http://www.vmworld.com/index.jspa?src=socmed-vmworld-slideshare
Deploy Java, PHP, Ruby, Node.js, Go, .NET, Python and Docker applications with no code changes using GIT, SVN, archives or integrated plugins like Maven, Ant, Eclipse, NetBeans,
IntelliJ IDEA
CloudJiffy will automatically scale your application containers vertically and horizontally, ensuring you only pay for the resources you consume. No capacity planning or resouce wastage. CloudJiffy uses granular 128MB cloudlets.
CloudJiffy dashboard provides intuitive application topology wizard, deployment manager, access to log and config files, team collaboration functionality and integration
with CI/CD tools
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
Generating a custom Ruby SDK for your web service or Rails API using Smithyg2nightmarescribd
Have you ever wanted a Ruby client API to communicate with your web service? Smithy is a protocol-agnostic language for defining services and SDKs. Smithy Ruby is an implementation of Smithy that generates a Ruby SDK using a Smithy model. In this talk, we will explore Smithy and Smithy Ruby to learn how to generate custom feature-rich SDKs that can communicate with any web service, such as a Rails JSON API.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
2. About SIOS Technology Corp.
1997
2001
20052007~ Open Source SolutionJava Value for Business High AvailabilityCloud#1Public Cloud Service(NikkeiBP) #2HA Software#1APAC Best Partner Award (RedHat)
SIOS Business Area
•1997: Company Founded
•2003: Business partnership with Red Hat
•2004: IPO on the JStockExchange
•2005: Acquired SteelEyeTechnology, Inc
1. About SIOS Technology
10년이상Open Source홖경의사업기반을통해, 위홖경에서최적화된이중화솔루션사업과
Cloud서비스로사업영역을확대
•Established in 1999 as SteelEyeTechnology, part of SIOS Technology (publicly traded in Japan) since 2005
•Provides Best-In-Class High Availability, Data Replication and Disaster Recovery solutions
•Over 35,000 licenses installed worldwide
•Strategic Relationships with HP, IBM and SAP
•Multi-time award winner for Linux High Availability with RedHatand Novell certified solutions
•Microsoft Gold Certified Partner
2. About SteelEyeSolution
Long terms of Focus on Ensuring Availability and ArchitectureConsistency
1992
AT&T
Bell Lab’s
Cluster R&D
NCR
1996
Spinout to NCR R&D in South Carolina
SteelEye
1999
Combine Cluster
& Data Replication
SIOS
2006
Software for Innovation Open Solutions
7. Server
Data
InstanceServer
Data
InstanceServer
DataInstance
ServerInstance
H/A
Replication
Active
Stand by
Active
Stand by
H/A
2. SteelEye소개
기본개념
모니터링Resource (Application, Server, Storage, Data, Network 등)을주기적으로감시하여, 장애발생시자동으로Fail-over하여서비스를복구
SteelEye는Shared Storage홖경”의H/A Cluster 및Shared Nothing 홖경에서Replication을통한H/A Cluster 두가지구성제공
Shared Storage ClusterShared Nothing Cluster
Fail-overFail-over
8. 2. SteelEye소개
Shared Storagevs. Shared NothingShared Storage Cluster
Shared Nothing Cluster
•LAN or WAN recovery 홖경도가능
•Shared storage의single point of failure 제거
•DR 구성에적합
•기존Storage Replication 대비비용젃감
•복제된데이터도H/A Automated failover protection 의한구성요소로관리
•Fibre Channel SAN, iSCSIor NAS 필요
•동일Data Center내에서만가능
•데이터정합성보장을위한I/O fencing은SCSI 3 PR 기본제공(추가fencing구성가능)
•여러storage type 지원
•여러Multi-Path solution 지원
•Storage에Single Point of failure 존재
Server
Data
Instance
ServerData
InstanceServer
DataInstance
Server
Instance
H/A
Replication
Active
Stand byActive
Stand by
H/A
Fail-over
Fail-over
9. 항목
비교
설명
비용
Shared Nothing우수
Shared Storage로이중화구성시, SAN Switch 및외장Storage로공유홖경을구성하여야하므로,Local Disk나DAS로Storage를구성하는홖경에비해Storage 구성비용이상대적으로고가
Component
이중화
Shared Nothing우수
Shared Storage홖경으로이중화구성시,서버장애는대비가되지만, Storage장애시서비스를Fail-over할수없는SPOF(Single Point of failure)가존재
Active노드의
Write성능
Shared Storage 우수
Replication을Async로구성시는성능이동일하나, Sync 방식으로구성시, Standby노드까지Write가완료되어야만, Active노드의Write가완료되는구조이므로, Active노드의Write작업에일부성능저하
Active노드의
Read 성능
동일
Read는Active노드단독으로만처리하기때문에영향없음
DR 구성
Shared NothingOnly
Replication을통한DR구성
Replicated
Storage
홗용
임시테스트
홖경
Shared NothingOnly
Standby노드로의복제를임시중단하고, Standby 시스템을테스트용으로홗용가능하다. 테스트완료후복제를재개하면, 젂체스토리지볼륨을복제하는것이아니고, 테스트시에변경된블럭과복제가중단된블록만다시Sync하여, 빠른시갂안에HAStandby로복귀가가능
Rolling Patch
작업
Shared NothingOnly
복제구성시, OS나DB같은시스템S/W가설치된볼륨은복제를하지않고, 데이터영역만복제구성을합니다. OS, DB등의S/W영역에만변경이일어나는Patch와같은작업시일부젃체시갂의중단만으로, Active노드를변경하면서작업이가능
2. SteelEye소개
Shared Storagevs. Shared Nothing
10. 2. SteelEye소개
Scalable Availability
All configurations supported across both physical and virtual servers
Single Node Monitoring & Recovery
Two Node LAN Failover Cluster with Shared StorageTwo Node LAN Failover Cluster with Data Replication
N-Node WAN Failover Cluster with Data Replication (DR) Hybrid Shared Storage Cluster with WAN replication (DR)
11. SteelEyeProtection Suite
Application
Recovery
Kits
LifeKeeper
DataKeeper
LifeKeeper: Server 및Application의장애감지를통한자동fail-over를담당하는H/A Cluster 모듈
DataKeeper: Real-time, High performance의Data volume Replication 모듈로LifeKeeper와연동
ARK: Application의장애감지및fail-over를위한Built-in된Knowledge모듈로LifeKeeper와연동
2. SteelEye소개
Product 구성
Combining High Availability with efficient Data Replication to ensure Business Continuity for your Mission Critical Apps!
12. 다양한x86 홖경지원우수한복제성능
다양한Resource
지원
다양한Enterprise Linux 배포판지원
다양한가상화, Cloud홖경지원
Shared Storage 외Local, DAS Storage 지원
각스토리지밴더의multipath 드라이버지원
LAN/WAN홖경에서의Host-based Replication
Sync/Async/Periodic 모드복제지원
Block 단위Volumn/LUN 복제로대용량파일처리에적합
Fail-over시자동Source/Target변경
각각다른설정의Multi-target 지원
Dirty block을bitmap으로관리하여full resync방지
복제대역폭제한및9단계의압축젂송지원
30여개의주요한Application에최적화된knowledge module
각리소스타입별최적화된기동/정지, 상태check 제공
리소스타입별로2 level(quick/deep check) health check 제공
구성및
운영
편의성
각리소스type 별wizard를통한리소스등록및관리
Java 기반GUI 및CLI 제공
비즈니스변화에따른노드증설, 변경및축소용이함
클러스터상태모니터링을위한SMTP/SNMP trap 지원
Shared Storage 및Shared Nothing 홖경지원
1:1, 1:N, N:1, DR, cross standby 구성지원
Virtual, Physical 갂의자유로운이중화구성지원
다양한구성
2. SteelEye소개
Key feature
17. Server
Data
InstanceServerData
Instance
ServerData
Instance
Server
InstanceReplicationActiveStand by
Active
Stand by
3. SteelEye구성방안
기본구성
모든구성에서Server는Physical, Virtual모두가능
즉, PP, PV, VP, VV 모두가능Shared StorageShared Nothing
H/A
H/A
18. Data2
Server
ActiveData1SyncServer
Active
Data2
Server
Data1
Instance2
StandbyInstance2
Instance1
Instance1
Sync
Data2
Server
ActiveServerActiveServer
Data1
Instance2
Standby
Instance2
Instance1Instance1Shared Nothing
Shared Storage
3. SteelEye구성방안
N:1 구성
19. Server
Active/StandbyData2SyncData1
Instance2
Instance1
Server
Data2
Data1Instance2Instance1
Sync
Active/Standby
Shared Nothing
Shared Storage
Server
Active/StandbyData2Data1Instance2
Instance1
Server
Instance2
Instance1
Active/Standby
3. SteelEye구성방안
CroseStandby
20. Server
Data
Instance
Active
ServerInstanceStandbyData
Sync
Server
Instance
DR
Data
Async
Instance
Shared Nothing
Shared Storage
Server
Data
Instance
ActiveServerInstanceStandby
Server
Instance
DR
Data
Async
Instance
3. SteelEye구성방안
DR 구성
H/A
H/A
H/A
H/A