ASCS는 "ABAP 시스템 중앙 서비스"를 나타냅니다. SAP 시스템에서 ABAP 애플리케이션 서버에 필요한 중앙 서비스 관리를 담당하는 SAP 시스템 환경의 구성 요소입니다.

ASCS(ABAP System Central Services) 구성 요소는 ABAP 애플리케이션 서버의 적절한 기능에 필요한 여러 서비스로 구성됩니다. 이러한 서비스에는 시스템의 데이터 일관성을 보장하기 위해 잠금 메커니즘을 제공하는 대기열에 넣기 서비스가 포함됩니다. 응용 프로그램 서버와 다른 시스템 구성 요소 간의 통신을 제공하는 메시지 서비스 외부 클라이언트에서 SAP 시스템에 대한 액세스를 제공하는 게이트웨이 서비스.

ASCS 구성 요소는 일반적으로 응용 프로그램 서버 자체와 별도로 전용 서버에 설치됩니다. 이는 하나 이상의 응용 프로그램 서버가 실패하거나 다시 시작해야 하는 경우에도 ASCS 구성 요소에서 제공하는 중앙 서비스를 사용할 수 있고 지속적으로 실행되도록 하기 위해 수행됩니다.

전반적으로 ASCS 구성 요소는 ABAP 애플리케이션 서버의 적절한 기능에 필요한 중앙 서비스를 제공하므로 SAP 시스템 환경의 중요한 부분입니다.

 

ASCS stands for "ABAP System Central Services". It is a component of the SAP system landscape that is responsible for managing the central services required by the ABAP application servers in an SAP system.

The ABAP System Central Services (ASCS) component consists of several services that are required for the proper functioning of the ABAP application servers. These services include the enqueue service, which provides a locking mechanism to ensure data consistency in the system; the message service, which provides communication between the application servers and other system components; and the Gateway service, which provides access to the SAP system from external clients.

The ASCS component is typically installed on a dedicated server, separate from the application servers themselves. This is done to ensure that the central services provided by the ASCS component are available and running continuously, even if one or more application servers fail or need to be restarted.

Overall, the ASCS component is an important part of the SAP system landscape, as it provides the central services required for the proper functioning of the ABAP application servers.

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LVM은 Linux 기반 운영 체제에서 디스크 스토리지를 관리하는 데 사용되는 소프트웨어 도구인 Logical Volume Manager의 약자입니다. LVM은 물리적 스토리지 장치(예: 하드 드라이브 또는 EBS 볼륨)와 이를 사용하는 파일 시스템 간의 추상화 계층을 제공하여 스토리지 관리의 유연성을 높입니다.

LVM을 사용하면 물리적 저장 장치가 하나 이상의 논리적 볼륨으로 결합되어 기본 물리적 장치를 다시 분할할 필요 없이 크기를 조정하거나 이동할 수 있습니다. 논리적 볼륨은 하나 이상의 논리적 파티션으로 나눌 수 있으며, 그런 다음 파일 시스템으로 포맷하고 데이터를 저장하는 데 사용할 수 있습니다.

EBS(Amazon Elastic Block Store)에 LVM을 연결하면 EBS 볼륨이 LVM 논리 볼륨의 물리적 장치로 사용되고 있음을 의미합니다. 따라서 기본 EBS 볼륨에 영향을 주지 않고 논리 볼륨의 크기를 조정, 이동 또는 백업할 수 있으므로 EBS 볼륨의 스토리지를 더 유연하게 관리할 수 있습니다. 또한 LVM은 EBS 볼륨에 저장된 데이터의 안정성과 가용성을 개선하는 데 도움이 되는 스냅샷 및 미러링과 같은 기능을 제공할 수 있습니다.

전반적으로 EBS에 LVM을 연결하면 Amazon Web Services에서 실행되는 Linux 기반 시스템에서 스토리지를 관리하는 유용한 방법이 될 수 있으므로 유연성과 관리 용이성이 향상됩니다.

 

(Paying attention to -i option on the command below)

 

Create a logical volume for SAP HANA data:
lvcreate -n lvhanadata -i 3 -I 256 -L 2350G vghanadata
Rounding size x.x TiB up to stripe boundary size x.xx TiB.
Logical volume "lvhanadata" created.

Create a logical volume for SAP HANA log:
lvcreate -n lvhanalog -i 1 -I 256 -L 512G vghanalog
Ignoring stripesize argument with single stripe.
Logical volume "lvhanalog" created.

Create a logical volume for SAP HANA backup
lvcreate -n lvhanaback -i 1 -I 256 -L 4095G vghanaback
Ignoring stripesize argument with single stripe.
Logical volume "lvhanaback" created.

 

LVM stands for Logical Volume Manager, which is a software tool used for managing disk storage on Linux-based operating systems. LVM provides a layer of abstraction between the physical storage devices (such as hard drives or EBS volumes) and the file systems that use them, allowing for greater flexibility in managing storage.

With LVM, physical storage devices are combined into one or more logical volumes, which can then be resized or moved without needing to repartition the underlying physical devices. Logical volumes can also be divided into one or more logical partitions, which can then be formatted with a file system and used to store data.

When associating LVM for EBS (Amazon Elastic Block Store), it means that the EBS volume is being used as a physical device for an LVM logical volume. This allows for greater flexibility in managing the storage on the EBS volume, as logical volumes can be resized, moved, or backed up without affecting the underlying EBS volume. In addition, LVM can provide features such as snapshots and mirroring, which can help improve the reliability and availability of the data stored on the EBS volume.

Overall, associating LVM for EBS can be a useful way to manage storage on Linux-based systems running on Amazon Web Services, providing greater flexibility and ease of management.

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Saptune은 Linux 기반 운영 체제에서 실행되는 SAP 시스템의 성능을 최적화하는 데 도움이 되는 SAP에서 제공하는 도구입니다. 시스템 구성을 분석하고 커널 매개변수, 파일 시스템 설정 및 네트워크 설정과 같은 다양한 시스템 매개변수 조정을 위한 권장 사항을 만듭니다.

Saptune은 OLTP(온라인 트랜잭션 처리), OLAP(온라인 분석 처리) 및 혼합 워크로드와 같은 다양한 SAP 워크로드에 대한 사전 정의된 프로필 세트를 제공합니다. 각 프로필에는 특정 워크로드 유형에 최적화된 조정 권장 사항 집합이 포함되어 있습니다.

Saptune은 사용하기 쉽게 설계되었으며 대화형 모드 또는 배치 모드로 실행할 수 있습니다. 대화식 모드에서 saptune은 사용자에게 특정 설정에 대한 입력을 요청하고 권장 튜닝 변경 사항을 적용합니다. 배치 모드에서 saptune을 사용하여 여러 서버에서 튜닝 프로세스를 자동화할 수 있습니다.

saptune을 사용하면 시스템이 특정 워크로드 유형에 대해 최적으로 구성되도록 하여 Linux 기반 운영 체제에서 실행되는 SAP 시스템의 성능과 안정성을 개선하는 데 도움이 될 수 있습니다. 또한 튜닝 프로세스와 관련된 많은 단계를 자동화하여 튜닝 프로세스를 단순화하는 데 도움이 될 수 있습니다.

 

etc: https://blogs.sap.com/2017/12/22/prepare-your-linux-for-your-sap-solution-with-saptune/



Saptune is a tool provided by SAP that helps optimize the performance of SAP systems running on Linux-based operating systems. It analyzes the system configuration and makes recommendations for tuning various system parameters, such as kernel parameters, file system settings, and network settings.

Saptune provides a set of predefined profiles for different SAP workloads, such as OLTP (Online Transaction Processing), OLAP (Online Analytical Processing), and mixed workloads. Each profile includes a set of tuning recommendations that are optimized for the specific workload type.

Saptune is designed to be easy to use and can be run either in interactive mode or in batch mode. In interactive mode, saptune prompts the user for input on certain settings and applies the recommended tuning changes. In batch mode, saptune can be used to automate the tuning process across multiple servers.

Using saptune can help improve the performance and stability of SAP systems running on Linux-based operating systems, by ensuring that the system is configured optimally for the specific workload type. It can also help simplify the tuning process by automating many of the steps involved in the tuning process.

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OLTP와 OLAP는 서로 다른 목적으로 사용되는 두 가지 유형의 데이터베이스 시스템입니다.

OLTP(Online Transaction Processing) 시스템은 데이터가 자주 업데이트되거나 추가되는 트랜잭션 처리를 위해 설계되었습니다. 이러한 시스템은 고객 주문 또는 은행 거래 처리와 같이 대량의 짧고 간단한 거래를 처리하는 데 최적화되어 있습니다. OLTP 시스템에서 데이터는 일반적으로 중복성을 최소화하고 업데이트를 최적화하기 위해 정규화된 방식으로 구성됩니다. OLTP 데이터베이스에 대한 인증은 일반적으로 사용자, 역할 및 권한 관리를 위한 메커니즘을 제공하는 데이터베이스 관리 시스템에 의해 처리됩니다.

OLAP(온라인 분석 처리) 시스템은 보고서 생성 또는 시간 경과에 따른 추세 분석과 같은 복잡한 쿼리에서 대량의 데이터를 분석하도록 설계되었습니다. 이러한 시스템은 집계 및 계산과 관련된 복잡한 쿼리를 처리하는 데 최적화되어 있으며 일반적으로 의사 결정 및 비즈니스 인텔리전스 목적으로 사용됩니다. OLAP 시스템에서 데이터는 일반적으로 쿼리 성능을 최적화하기 위해 비정규화된 방식으로 구성됩니다. OLAP 데이터베이스에 대한 인증도 일반적으로 데이터베이스 관리 시스템에서 처리합니다.

SAP HANA는 OLTP 및 OLAP 워크로드를 모두 지원합니다. 인증을 위해 SAP HANA는 사용자, 역할 및 권한을 관리하기 위한 다양한 메커니즘을 제공합니다. 여기에는 SAML, LDAP, Kerberos 및 X.509 인증서와 같은 인증 옵션이 포함됩니다. 또한 SAP HANA는 사용자가 사용 권한이 있는 데이터 및 기능에만 액세스할 수 있도록 RBAC(역할 기반 액세스 제어)를 제공합니다. SAP HANA는 또한 감사 로깅 및 모니터링 기능을 제공하여 보안 정책 및 규정 준수를 보장합니다.

 

OLTP and OLAP are two different types of database systems that are used for different purposes.

OLTP (Online Transaction Processing) systems are designed for transactional processing, where data is frequently updated or added. These systems are optimized for handling high volumes of short, simple transactions, such as processing customer orders or bank transactions. In an OLTP system, data is typically organized in a normalized way to minimize redundancy and optimize updates. Authentication for OLTP databases is typically handled by the database management system, which provides mechanisms for managing users, roles, and privileges.

OLAP (Online Analytical Processing) systems are designed for analyzing large volumes of data in complex queries, such as generating reports or analyzing trends over time. These systems are optimized for handling complex queries that involve aggregations and calculations, and are typically used for decision-making and business intelligence purposes. In an OLAP system, data is typically organized in a denormalized way to optimize query performance. Authentication for OLAP databases is also typically handled by the database management system.

When it comes to SAP HANA, it supports both OLTP and OLAP workloads. For authentication, SAP HANA provides a variety of mechanisms for managing users, roles, and privileges. These include authentication options such as SAML, LDAP, Kerberos, and X.509 certificates. In addition, SAP HANA provides role-based access control (RBAC) to ensure that users only have access to the data and functions that they are authorized to use. SAP HANA also provides audit logging and monitoring capabilities to ensure compliance with security policies and regulations.

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