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SAP systems handle core processes such as orders, finance, supply chain, and production, and performance issues often require joint investigation by Basis, applications, databases, and infrastructure teams. Guance SAP monitoring and full-stack observability solution uses RFC-level non-intrusive access to link SAP transactions, ABAP, HANA, S/4HANA, NetWeaver, host, and cloud resource data, helping teams identify bottlenecks faster and reduce core system troubleshooting risks.
SAP and Infrastructure Data Gap:The Basis team sees ABAP and transactions, while the infrastructure team sees CPU, memory, and disk; missing the same timeline slows positioning.
Core production environments are not suitable for high-intrusive retrofits:ERP systems require high stability, and many teams want to avoid modifying code, restarting systems, or introducing high-risk Agent.
Business impact is hard to quantify:When processes such as orders, monthly billing, shipping, and procurement are abnormal, it is difficult to judge which core business areas are affected by system metrics alone.
High maintenance costs for traditional tools:Multiple monitoring and operations tools increase configuration, maintenance, and collaboration costs, and key issues still require manual evidence splicing.
RFC-level non-intrusive acquisition:Key monitoring data is collected based on SAP standard interfaces, reducing the risks of retrofitting and deploying core production systems.
ABAP, HANA, and resource association:Analyze transaction responses, SAP HANA database performance, application layer status, hosts, and cloud resources on the same timeline.
Establishing monitoring around business processes:Monitor the status and performance of key processes such as orders, monthly billing, and shipping, allowing technical anomalies and business impacts to be explained to each other.
Unified alerts and cross-team collaboration:Through alerts, dashboards, and troubleshooting contexts, Basis, applications, databases, and infrastructure teams collaborate on the same piece of evidence.
Work Schedule and Queue:Observe Work Processes, Queues, Short Dumps, and Aborted Jobs to identify concurrency and stability risks.
Transaction and resource association:Placing transaction responses, instance memory, and underlying resources on the same timeline helps the Basis team narrow down the scope of troubleshooting.
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Resource and Blockage Analysis:Continuously observe CPU, memory, disk, threads, and blocking transactions to determine whether the slow response comes from database resources or transaction waiting.
Backup and Alert:Includes backup status, table statistics, storage water levels, and alarm events into routine inspections to reduce production environment risks.
Consult HANA monitoring
Response time breakdown:Align transaction volume, transaction response, and time distribution to help teams identify performance anomalies in databases, code, networks, or resource segments.
Key transaction priorities:Prioritize issues affecting orders, checkout, procurement, and production by business transactions, users, responses, and scope of impact.
Understand transaction monitoring
Observability platform and unified monitoring platform
Unified metrics, logs, links, RUM, AI analytics, and infrastructure data.
Hybrid cloud monitoring
Centralized monitoring of public cloud, private cloud, Kubernetes, and on-premises resources.
Log management and analytics
Centralized retrieval, parsing, and correlation of multi-source logs to pinpoint the root causes of anomalies.
Suitable for core ERP environments that need to monitor SAP S/4HANA, HANA databases, NetWeaver, ABAP transactions, and underlying infrastructure.
Non-intrusive access reduces the risk of transforming production systems while linking SAP transactions, databases, and resource data for analysis on the same timeline.
You can align transaction response, ABAP, HANA, host CPU, memory, disk, and cloud resource metrics to determine whether the bottleneck lies in the application, database, or infrastructure.
Let Guance match your SAP monitoring with the implementation path of full-stack observable solutions
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