HANA_Technical_Landscape_Preparation_v4

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Transcript HANA_Technical_Landscape_Preparation_v4

Preparing Your Technical Landscape for an SAP HANA Installation

Dr. Bjarne Berg COMERIT

In This Session …

This session examines, in detail:

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The most critical sizing, integration and performance factors you must address when adopting SAP HANA.

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Trends amongst hardware vendors for virtualization, cloud, and hosted systems, including options, requirements, and costs associated with network, backup, and application servers

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How the SAP HANA database —uses persistent storage to provide a fallback, and how fault tolerance, disaster recovery, and high-availability can be setup for your SAP HANA implementation

What We’ll Cover …

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Hardware Sizing, Planning, and The Cloud Top 10 Lessons Learned from SAP HANA Implementations Landscape Deployment Planning Backup High Availability Wrap-up

Hardware Options 2014 Onward

Example: IBM 3850 X6

Hardware Options 2014 Onward

These systems are based on Intel's E7 IvyBridge processors with 15 cores per processor (the old had only 10).

UPDATE : Hitachi Servers and Dell (R920) are now also available

Cloud Options 2014 Onward

Support Packages

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As of 2014, SAP introduced the idea of “production verified revisions” to provide in depth testing of all service packs for SAP HANA

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Based on the planned releases over the next 24 months, customers should adjust their plans for service packs accordingly

Sizing Overview

Depending on the software components there are several sizing options: 1.

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BW system for HANA QuickSizer – New implementation only, not migrations BW Automated Sizing tool in the Migration Cockpit Rule of Thumb T-Shirt Sizing 2.

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BusinessSuite System for HANA QuickSizer for BusinessSuite on HANA Automated Sizing tool Vendor Tools 3.

Standalone HANA System

SAP QuickSizer for HANA

There are three versions of the tool for each version of SAP HANA The QuickSizer for the Business Suite allows you to size for specific modules The second QuickSizer version is for SAP HANA on SAP NetWeaver BW The last is for those who want to use SAP HANA as a standalone platform for in memory data (i.e., using SAP Data Services to load data to) SAP’s QuickSizer for SAP HANA is available at http://service.sap.com/quicksizer.

SAP QuickSizer for New BW HANA Implementations Enter the estimated number of information consumers ( H-BW INFO ), business users ( H-BW-BUSI .), and experts ( H-BW-EXPER ). SAP suggests a ratio of 71%, 26%, and 3% for each user group, but you can enter your own mix if you have better estimates. If you’re using planning in SAP NetWeaver BW, enter the info here. The fields marked with * are mandatory. For H-PLAN-1 , enter the maximum concurrent users in the USERS field. The S.T.

and E.T. fields are the start and end times for the processing. By entering this type of information, you’ll get estimates of loads on the SAP HANA system by time periods at the end of the sizing exercise.

SAP QuickSizer for New BW HANA Implementations (cont.) In the INITIAL LOAD field, you enter the number of records in the existing InfoCube, and in the PERIOD. UPLD field, you enter the number of records you estimate will be loaded periodically. Enter the InfoCube and DSO information. The max number of dimensions ( dimensions. DIM ) you can enter for the InfoCube is 13. The three fixed dimensions of BW are already included, so just enter the free The field KEYF . refers to the number of key figures in the fact table of your InfoCube, while the field COM . is the estimated compression. If you don’t have better estimates, a rate of 5 may serve for the initial sizing before you refine the estimates with your hardware vendor.

SAP QuickSizer for HANA — Output

This SAP HANA sizing example calls for 1.6TB of memory. In this case, SAP HANA for BW will deploy the master data, ABAP system tables, and row store data on the master node. The other connected server node(s) will contain the InfoCubes and DSOs.

HANA Sizing Tool for Existing BW Implementations To increase speed, you can suppress analysis tables with less than 1 MB size. SAP has released an updated tool that generates a report significantly better for sizing SAP BW than using the QuickSizer. This tool should be used by all existing BW implementations for sizing (QuickSizer is only for new implementations).

This program takes into consideration existing database, table types, and includes the effects of non-active data on the HANA system .

The higher precision you run the estimate at, the longer the program is going to run. With 12 parallel processors and 10TB database, it is not unusual to see 30-70 minutes runtime

SAP BW on HANA Automated Sizing Tool

Since timeouts are common when running the sizing program, you can temporarily change the parameter in rdisp/max_wprun_time to 0 in BW transaction RZ11 . Finally, you estimate the growth for the system as a percentage, or as absolute growth.

The output is stored in the file you specified and the file can now be emailed to hardware vendors for sizing input and hardware selection.

This program is referenced in SAP Notes 1909597 and 1736976 on the Service Marketplace

Sizing for BusinessSuite on HANA

SAP has created a program for sizing HANA for BusinessSuite: This should be used for all HANA migration projects of ERP/ECC/BusinessSuite

Sizing for BusinessSuite on HANA

Some Vendors have also created their own sizing programs, that also include hardware prices.

QuickSizer for BusinessSuite on HANA

For New BusinessSuite implementations you can use QuickSizer and send the results to SAP for further processing

QuickSizer for BusinessSuite on HANA

This is the input screen where you enter the number of expected transaction by module. You are also asked to enter estimated changes and new records as well as operating times of your system Here you get the size in SAPS as well as memory and disk requirements

Sizing a Standalone HANA System - Output

This is the input screen Here you get the size in SAPS as well as memory and disk requirements

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Rule-of-Thumb Approach to Sizing HANA — Memory

Memory can be estimated by taking the current system size and running the programs in “get_size.zip” in SAP Note 1637145 to get row and column store sizes for your system

Memory = 50GB + [ (rowstore tables footprint / 1.5) + (colstore tables footprint * 2 / 4) ] * Existing DB Compression

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The 50GB is for HANA services and caches. The 1.5 is the compression expected for rowstore tables and the 4 is the compression expected for column store tables. The 2-factor refers to the space needed for runtime objects and temporary result sets in HANA. Finally, the term “existing DB compression” is to account for any compression already done in your system (if any). Remember, these are quick rules of thumb, so don’t rely on it for finalized budgeting and hardware purchases

Rule-of-Thumb Approach to Sizing HANA — Disk

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The next item you need is disk space, which can be estimated by the following:

Disk for persistence layer = 4 Memory Disk for the log = 1 Memory

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In this example, you need 4 x 710GB disk for the persistence layer and about 710GB for the logs. This equals around 3.5TB (don’t worry, disk space of this size is now almost “cheap”).

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The persistence layer is the disk that keeps the system secure and provides for redundancy if there are any memory failures, so it’s important not to underestimate this. Remember, these are quick rules of thumb, so don’t rely on it for finalized budgeting and hardware purchases

Rule-of-Thumb Approach to Sizing HANA — CPU

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The CPUs are based on the number of cores that you include. For example, 10 core CPUs now exist (depending on when you bought your system).

CPU = 0.2 CPU cores per active user

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If you have a single node with 4 x 10 cores, you will have 40 cores and can handle 200 active users on that hardware node, and quite a larger number of named users. Remember, these are quick rules of thumb, so don’t rely on it for finalized budgeting and hardware purchases

A T-Shirt Model for Sizing HANA on BW

A T-shirt model is a quick way to get some basic ideas on what a system may look like While very inaccurate for sizing, it provides basic information for those just starting to consider SAP HANA Extra Large (XXL) Very Large (XL) Medium (M) Data Compress ion (from) Working Memory

7000– 100,000 GB 3500– 7000GB

Large (L)

2000– 3500GB 1250– 2000GB 3072 GB to 20+ TB (multi node) 2048 GB (multi node) 1024GB 512GB

Small (S)

500– 1250GB

Extra Small (XS)

256– 500GB 256GB 128GB

Processors

12+ Intel E7 2.4 Ghz

SAS/SSD (for data) Replication Speed (per hour)

10+ TB 20+ GB 8+ Intel E7 2.4 Ghz 5 – 10 TB 20+ GB 4 x Intel E7 2.4 Ghz 4 x Intel E7 2.0+ Ghz 2 x Intel E7 2.0+ Ghz 2 x Intel E7 2.0+ Ghz 4 - 5 TB 2048GB 1024GB 1024GB 5–20GB 5–20 GB 5GB 5GB

The number of processors are largely driven by the number of users and usage patterns. Serious consideration should be made before buying hardware.

Summary of HANA Sizing Approaches

Approach T-Shirt Sizing Rule of Thumb SAP QuickSizer Sizing for programs Quality of Estimate

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Sort of “OK”

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Better

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Much better (new implementations only)

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Excellent (for existing BW systems) Effort Required Very Low Low High Moderate/Low

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Work with your preferred vendor before ordering your hardware or finalizing your budgets SAP Note 1736976 (ABAP report to help with BW on HANA Sizing) SAP Note 1909597 (SAP NetWeaver BW Migration Cockpit for SAP HANA) SAP Note 1729988 (SAP BW Checklist for Migration), SAP Note 11855041 (Sizing the Master node)

What We’ll Cover …

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Hardware Sizing, Planning, and The Cloud Top 10 Lessons Learned from SAP HANA Implementations Landscape Deployment Planning Backup High Availability Wrap-up

1. Lessons Learned: Buy Hardware Early

The typical lead time for the basic HANA appliances is as little as 4-8 weeks 2.

However, for large scale environments, or multi node environments, the lead times can sometimes be as long as 10-14 weeks 3.

This is particularly true for virtualized systems managed by a third-party who has to set them up, configure backup, and learn the new technology Get a small team on site early for planning, budgeting, and sizing; and hold off staffing all team members from the business until you get a confirmed hardware delivery date

2. Lessons Learned: Get the Right Team Members

While there are many with basic certifications in HANA, the pool of qualified experienced resources is limited 2.

Great HANA resources are most likely working on another project already 3.

So, if you want the best, be prepared to give your implementation partner several weeks lead time Do you want “who is available” or “who should be available” on your project? Be prepared to give your implementation partner longer lead times than usual.

3. Lessons Learned: Include Training for your Staff

There are a lot of “myths” and beliefs about HANA that you have to address early 2.

Before you start the project, make sure your implementation partner has a formal written training plan on how they will provide knowledge transfer 3.

Include your support staff and Basis people in all project discussions from the first planning session Many are “fearful” of a new technology and are unsure how this will change their work. You should provide real demos and workshops early so that everyone knows what is happening and how HANA will change their day-to-day jobs.

4. Lessons Learned: Hardware Sizing Should Include Growth 1.

Some customers forget that sizing would be for 3 years out and not based on current system size alone 2.

You should have a sizing estimate that includes new projects, data growth, and data retention policies, as well as periodic scheduled clean up activities Funding for hardware is sometimes easier in a project mode, and many companies plan for 30-50% more capacity as part of the initial rollout if they can afford it

5. Lessons Learned: “Master-Node” Size

Some hardware vendors want to maximize the number of processes available to the users. They can do this by using multiple smaller nodes with many processors in each.

The drawback is that all of your row and master data stores may not fit on the small node as you grow.

Pay very careful attention to the row-stores sizes and the master data growth when buying hardware. You don’t want to have to upgrade shortly after go-live.

6. Lessons Learned: Create an Ecosystem of Experts

Having access to the best and brightest within SAP, consulting firms, and industry experts is key when issues or questions arise 2.

These people are very busy and are often engaged on many projects as “supporters” Formally assign a team of 2-3 experts to come in and meet with your team a few times during the project planning and execution. Make sure these project advisors are hands-on and that they can act as technical go-to resources for your team if questions arise.

7. Lessons Learned: Think BIG

A HANA implementation should not be treated as a replacement project. It is an enabler … 2.

Plan ahead on what you are going to do with the new technology, e.g., mobile, forecasting, planning, BI dashboards, customer and vendor facing analytics, market basket analysis, stratification, data visualization, etc.

Early in the project create a 2-3 year strategic plan that demonstrates to the leadership what you are going to do with this new technology. Present it as new capabilities not just how fast it is …

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Lessons Learned: Plan for Reporting and System Consolidation 1.

After go-live you should have planned for how you are going to migrate all reporting and management analytics on to HANA and away from datamarts and standalone expensive systems that are not integrated into the long-term vision 2.

You will most likely have to do some “selling” to your fellow employees and be prepared to give them “free access” to your HANA system HANA is not just for BW or Business Suite. It is an enterprise platform for integrated analytical and data processing. You can give developers access to your system and they can build their own Agile marts inside HANA, even if they don’t want to use BW.

9. Lessons Learned: Near-Line Storage Can Save Millions 1.

Removing data that is not needed on a daily basis from your system and placing it on near-line storage instead of in-memory can save you millions.

In one project a customer took his system from 112TB to 38TB by simply moving data to near-line storage (NLS) 3.

An Asian firm took a 3.8TB BW system to “only” 900GB after cleanup and an NLS implementation There are many NLS solutions available that can save you big bucks by reducing the need for multi-node, multi-terabyte HANA systems. Take a serious look at SAP IQ solution for NLS. It is tightly linked with HANA already.

10. Lessons Learned: Save Money with MCOD and MCOS 1.

You may not need separate hardware for sandbox and development environments i) j) f) Using Multiple Components One Database (MCOD) and/ or Multiple components One System (MCOS) you can simplify the number of hardware environments you need a) b) c) d) e) g) h) SAP NetWeaver BW on SAP HANA SAP Finance and Controlling Accelerator for the material ledger ERP operational reporting with SAP HANA SAP Finance and Controlling Accelerator: Production Cost Planning SAP Rapid Marts SAP COPA Accelerator SAP Operational Process Intelligence SAP Cash Forecasting SAP Application Accelerator / Suite Accelerator Smart Meter Analytics In addition to custom developed datamarts, all items above can run in an MCOD setup (see SAP Note 1666670 for more details)

What We’ll Cover

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Hardware Sizing, Planning, and The Cloud Top 10 Lessons Learned from SAP HANA Implementations Hardware Trends Landscape Deployment Planning Backup High Availability Wrap-up

Landscape Deployment Planning

Virtualization MCOS MCOD Technical Co-Deployment Deployment Scenario HANA DBs DB Schema Availability

Multiple Multiple Supported for DEV & QA systems Multiple Multiple Supported for DEV & QA systems One Multiple Defined by: White List 1661202 for BW White List 1826100 for Suite One One Business Suite components SCM and/or SCM co deployed with ERP 38

Landscape Deployment Planning - Virtualization (on premise) Share hardware resources for multiple Suite systems and HANA instances with virtualization techniques. Virtualization technology separates multiple OS images each containing one HANA DB.

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n x Virtualized Appliances

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n x HANA DB

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n x DB Schema

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n x Applications

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Strengths Only one HANA system needed Resource mgmt per virtual instance possible (RAM, CPU, Storage) Easy scalability Different Server Level Agreements per virtual machine possible Independent deployment & maintenance per instance (OS, HANA)

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Weaknesses Performance impact Virtualization overhead

Landscape Deployment Planning

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One database schema per database Separate virtual machine and OS Separate SAP HANA databases per SAP system Shared hardware and storage Currently supports VMware vSphere 5.1

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Usage Scenarios Non-production systems Single-node SAP HANA databases up to 1 TB See SAP note 1788665.

Multiple Components One System (MCOS) Share hardware for HANA among multiple Suite system to reduce TCO

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1 x Appliance

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n x HANA DB

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n x DB Schema

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n x Applications

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Strengths Only one HANA system and one OS required HANA software can be individually maintained per DB instance Dedicated memory assignment per instance

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Weaknesses Shared HANA hardware – risk of performance issues since no dedicated CPU assignment per instance No separate Service Level Agreements on database level SAP currently does not support MCOS configuration on a production system (note 1681092).

Multiple Components One Database (MCOD) Provides the ability to install several components independently on a single database.

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1 x Appliance 1 x HANA DB n x DB Schema

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n x Applications Strengths

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Versatility through components and only one HANA instance necessary

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Cross schema reporting supported and separate upgrades possible

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Different operating systems and databases

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Highest scalability possible Weaknesses

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Maintaining different operating systems and databases

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Shared HANA software version and maintenance processes

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Risk of performance issues - lack of resource management capabilities

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Complex high availability solutions

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Synchronizing backup and restore

Multiple Components One Database (MCOD)

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Multiple database schemas per database Shared SAP HANA database Dedicated application servers per application Shared hardware, OS and storage pool Usage Scenarios

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Non-production systems Production systems for applications on whitelists and custom data marts Not multiple BW production systems See SAP notes: 1661202 – HANA MCOD scenario whitelist 1826100 – SoH MCOD scenario whitelist 1666670 – BW specific considerations

Classical Technical Co-Deployment

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Appliance approach for optimal performance.

No additional system required and a reduction of operations effort Cross application reporting possible

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1 x Appliance 1 x HANA DB 1 x DB Schema 1 x Application (e.g. ERP, CRM, or BW)

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Strengths Coordinated start-stop functionality Reduced operation exertion for DB/OS/Backup/Basis Multiple application servers can be shared Simplified application landscape setup, deployment, and maintenance Option to scale out into separate deployment Reduced TCO on application level

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Weaknesses Restrictive enhancement package dependencies Application specific middleware (CIF, BDOC) still being used. Not yet available for CRM.

Landscape Deployment Planning

Classical Technical Co-Deployment

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One SAP HANA database and one database schema One AS ABAP application server/SID Available for SRM and SCM as ERP add-on Usage Scenarios

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Production and non-production systems Can be combined with Virtualization or MCOS

What We’ll Cover

• • • • • • •

Hardware Sizing, Planning, and The Cloud Top 10 Lessons Learned from SAP HANA Implementations Hardware Trends Landscape Deployment Planning Backup High Availability Wrap-up

Backup

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Supports synchronous backup between production system and backup storage

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Alerts can be setup to monitor whether backups are being done as expected

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Two primary methods of backing up:

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Traditional File

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BACKINT API for third party vendors

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Backup

There are 4 basepath options for traditional file backups in HANA

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Basepath data backup – Standard backups to external mount point Basepath data volumes – Permanent location for data volumes Basepath log backup – External mount point for logs segment to be copied Basepath log volumes – Permanent location for log volumes

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IBM offers a backup management solution called Tivoli Storage Manager

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SAP provides a script in SAP Note 1651055 to help clean up log files

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Many backup features are now automated including removal of log segments after backup These basepath options are available in the Configuration tab in HANA Studio

Standby Systems and Backup Monitoring

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It is possible to keep a “warm” standby system that is ready to come online in the event of a failure

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Hosts can also be on standby in the event of host issues

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HANA includes a service auto-start that restarts any service that may fail Alerts can be set to monitor If the backups are being successful inside the admin console under the Alerts tab Standby host can provide fault-tolerance recovery

What We’ll Cover

• • • • • • •

Hardware Sizing, Planning, and The Cloud Top 10 Lessons Learned from SAP HANA Implementations Hardware Trends Landscape Deployment Planning Backup High Availability Wrap-up

High Availability (HA)

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SAP HANA supports HA and recovery measures ranging from faults and software errors, to disasters that decommission an entire data center

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HA can be achieved by eliminating single points of failure (fault tolerance) Providing the ability to rapidly resume operations after a system outage with minimal business loss (fault resilience).

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The SAP HANA database provides several features in support of high availability, one of which is service auto-restart

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In the event of a failure or an intentional intervention by an administrator that disables one of the SAP HANA services, the SAP HANA service auto-restart function automatically detects the failure and restarts the stopped service process The number of standby servers defined during installation cannot subsequently be reduced. Standby servers can be added after installation.

High Availability

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Additional SAP HANA appliances used in standby mode for failover

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Capability to assign up to three master servers as the name server (one is selected as the active server)

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Active server assigned master index server

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If active master name server fails, the systems restores itself to available standby master High Availability is a set of techniques, engineering practices and design principles for Business Continuity

Scale out – High Availability

High Availability Configuration

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N active servers in one cluster

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M standby server(s) in one cluster

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Shared file system for all servers Failover

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Server X fails

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Server N+1 reads indexes from shared storage and connects to logical connection of server X

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SAP HANA cold standby host Standby host is kept ready for the event that a failover situation occurs during production operation Standby host is not used for database processing All the database processes run on the standby host, but they are idle and do not allow SQL connections

Source: SAP AG 2014 Source: SAP AG 2014 53

What We’ll Cover

• • • • • • •

Hardware Sizing, Planning, and The Cloud Top 10 Lessons Learned from SAP HANA Implementations Hardware Trends Landscape Deployment Planning Backup High Availability Wrap-up

7 Key Points to Take Home

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There are programs to do pre-readiness checks for an ERP and BW system for migration to HANA A BW Migration Cockpit is now available to assist in the tasks While one is more common, there are actually four possible approaches to the HANA migration project There are currently seven different certified HANA vendors and many options for small, medium, and large systems — Make sure you get a competitive bid Budgeting should include HANA training and system cleanup, as well as support staff required or reorganized Most HANA projects can be done in a matter of weeks Only extremely large systems may require 4-7 months

Where to Find More Information

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https://www.sap-press.com/sap-hana_3687 Dr. Bjarne Berg and Penny Silvia, SAP HANA: An Introduction (3rd edition) SAP PRESS, 2014).

www.saphana.com/welcome

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SAP’s main page for all SAP HANA-related information www.saphana.com/community/try

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SAP HANA demos http://scn.sap.com/community/netweaver-bw-hana SAP NetWeaver BW Powered by SAP HANA Community

Your Turn!

How to contact me: Dr. Berg [email protected]

Disclaimer

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