SAP S/4 & HANA Performance Optimization

Maximize in-memory throughput, eliminate latency bottlenecks, and harden mission-critical SAP environments.

SAP HANA is an exceptional in-memory platform, but without meticulous memory allocation, index maintenance, and OS kernel synchronization, performance degrades rapidly under high concurrency. Sysad Solutions brings 15+ years of deep SAP Basis and HANA administration expertise to stabilize, accelerate, and scale your digital core.

40–60%

Average Query Latency Reduction

Operational Challenges Addressed

Uncontrolled memory growth leading to out-of-memory (OOM) crashes during month-end closes

Long-running SQL queries locking critical tables in S/4HANA transactional flows

Suboptimal table partitioning causing single-node CPU saturation in scale-out clusters

Inadequate HANA System Replication (HSR) synchronization delaying disaster recovery failovers

Technical Capabilities & Architecture Scope

Granular engineering execution provided during active client engagements.

In-Memory Sizing & Memory Management

Comprehensive analysis of column store, row store, and delta merge mechanics to ensure predictable RAM utilization.

Detailed inspection of M_HEAP_MEMORY and M_SERVICE_STATISTICS views

Tuning delta merge triggers to prevent background CPU thrashing

Table unload priority optimization to safeguard working memory pools

Identification and remediation of memory leaks in custom ABAP/HANA CDS views

Table Partitioning & Workload Balancing

Multi-level partitioning architectures engineered for multi-terabyte transactional tables.

Range and Hash-Range partitioning schemes on ACDOCA, BSEG, and EDI tables

Even redistribution of partitions across scale-out worker nodes to eliminate hot spots

Dynamic partition pruning to minimize memory scans on historical data

HANA High Availability & System Replication (HSR)

Synchronous and asynchronous replication architectures paired with automated cluster fencing.

Configuration of synchronous replication (syncmem) with logreplay mode

Pacemaker and SUSE Linux Enterprise Server (SLES) cluster integration

Automated split-brain prevention and STONITH device attestation

Routine non-disruptive DR takeover simulation drills

Kernel & Parameter Optimization

Fine-tuning of global.ini and indexserver.ini parameters aligned with SAP certified hardware benchmarks.

Optimization of statement memory limits and thread concurrency thresholds

Garbage collection parameter adjustments to reclaim fragmented blocks

SUSE and Red Hat OS sysctl tuning (NUMA balance, transparent hugepages)

Execution Lifecycle & Methodology

Structured engagement phases designed to minimize operational risk and verify stability.

Telemetry & Trace Baseline

We connect non-invasive diagnostics to collect runtime execution plans, SQL memory consumers, and I/O latency profiles over 7 to 14 operational days.

Bottleneck Root-Cause Audit

We isolate defective execution plans, unmerged delta stores, unbalanced partitions, or misconfigured storage tiering.

Controlled Parameter Remediation

We execute targeted configuration adjustments in staging environments followed by verified production change windows.

Post-Optimization Validation

We run before-and-after transaction volume tests and deliver a full audit report with ongoing operational runbooks.

Concrete Client Deliverables

Comprehensive HANA Health & Memory Audit Report

Table Partitioning Blueprint and Remediation Scripts

Hardened global.ini, indexserver.ini, and OS sysctl parameter sets

HSR Disaster Recovery Takeover Standard Operating Procedure (SOP)

Executive performance summary with measurable SLA gains

Target Benchmarks & Standards

SAP Certified Technology AssociateSUSE SLES for SAPRed Hat RHEL for SAPSAP Notes 2000000/2205917

All architectural modifications are validated against official vendor benchmarks and certified deployment guides.

Schedule a Consultation for SAP S/4 & HANA Performance

Speak directly with Principal Systems Architect Khalib Baker to scope your project.

Request Practice Assessment