From 24faed2a0a286c6a7da4a498ec47dd30fe395ca0 Mon Sep 17 00:00:00 2001 From: Meike Chabowski Date: Wed, 18 Oct 2023 15:44:55 +0200 Subject: [PATCH] Smaller fixes according to Style Checker --- adoc/SLES4SAP-sap-infra-monitoring-promtail.adoc | 2 +- adoc/SLES4SAP-sap-infra-monitoring.adoc | 6 +++--- 2 files changed, 4 insertions(+), 4 deletions(-) diff --git a/adoc/SLES4SAP-sap-infra-monitoring-promtail.adoc b/adoc/SLES4SAP-sap-infra-monitoring-promtail.adoc index 65bc3a8b..5389e628 100644 --- a/adoc/SLES4SAP-sap-infra-monitoring-promtail.adoc +++ b/adoc/SLES4SAP-sap-infra-monitoring-promtail.adoc @@ -147,7 +147,7 @@ image::sap-infra-monitoring-deep_dive-promtail01.png[Using Labels,scaledwidth=80 ==== Drop log entries Sometimes an application is constantly writing annoying messages in the log you want to get rid of. -The stage `drop` can exactly do that by e.g. using expression. +The stage `drop` can exactly do that by using, for example, the parameter `expression`. .promtail.yaml [source] diff --git a/adoc/SLES4SAP-sap-infra-monitoring.adoc b/adoc/SLES4SAP-sap-infra-monitoring.adoc index ba9baf48..7656526b 100644 --- a/adoc/SLES4SAP-sap-infra-monitoring.adoc +++ b/adoc/SLES4SAP-sap-infra-monitoring.adoc @@ -12,7 +12,7 @@ :sles4sap: {sles} for SAP Applications -= Infrastructure Monitoring for SAP Systems += Infrastructure monitoring for SAP Systems [[sec-introduction]] @@ -30,10 +30,10 @@ System data monitoring enables proactive problem avoidance. Hardware:: Most modern hardware platforms running SAP systems rely on Intel's system architecture. The combination of SUSE Linux Enterprise Server on the latest generation Intel Xeon Scalable processors and Intel Optane DC persistent memory help deliver fast, innovative, and secure IT services and to provide resilient enterprise S/4HANA platforms. The Intel platform allows to monitor deep into the hardware, to gain insights in what the system is doing on a hardware level. Monitoring on a hardware level can help reduce downtime for SAP systems in several ways: -Failure prediction:: Identifying any hardware failure in advance allows customers to react early and in an scheduled manner, reducing the risk of errors that usually occur on operations executed during system outages. +Failure prediction:: Identifying any hardware failure in advance allows customers to react early and in an scheduled manner. This reduces the risk of errors that usually occur on operations executed during system outages. Failure remediation:: Having hardware metrics at hand when looking for the root cause of an issue can help speed up the analysis and therefore reduce the time until the system(s) return into operation. -It can also reduce the reaction time, providing more precise information about problems, especially for big customers that usually have operations outsourced to many service providers and does not control the environment directly. +It can also reduce the reaction time, providing more precise information about problems. This holds especially true for enterprise customers that usually have operations outsourced to many service providers and do not control the environment directly. This paper describes a monitoring solution for SAP systems that allows to use metrics to be analyzed in an SAP context.