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Nimsoft Announces Comprehensive Monitoring for SAP Environments

Nimsoft has introduced Nimsoft Monitor for SAP, an automated solution that enables customers to optimize service levels across physical, virtual and cloud environments while reducing their technology ownership costs.

Nimsoft Monitor for SAP extends the comprehensive insight of Nimsoft Monitor to core SAP events and components including SAP NetWeaver, SAP ECC, ABAP and Java.

It also features a built-in, updateable knowledgebase of key performance indicators (KPIs) and associated best-practice thresholds to help administrators proactively address potential issues and quickly identify and resolve problems before they impact service levels. When used in conjunction with other Nimsoft Monitor products, it enables customers to gain a unified view into the networks, servers, databases and storage supporting SAP.

AGENTIL, a certified SAP Service Partner and Nimsoft Unified Management Alliance member, combined its deep knowledge of SAP with the powerful Nimsoft Unified Manager architecture and APIs to develop the solution.

Nimsoft Monitor for SAP users gain:

• A unified view of SAP and associated network, server, database and storage components to facilitate collaboration and accelerate troubleshooting

• Simple template-based configuration to automate deployment across multiple SAP landscapes

• An agent-less design to provide non-intrusive and secure collection of KPIs

• A growing knowledgebase of best-practice monitors and SAP transaction templates and thresholds

Nimsoft Monitor is a component of Nimsoft Unified Manager, a multi-tenant IT Management-as-a-Service solution that combines industry-leading infrastructure monitoring and ready-to-use ITIL-based service management.

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Nimsoft Announces Comprehensive Monitoring for SAP Environments

Nimsoft has introduced Nimsoft Monitor for SAP, an automated solution that enables customers to optimize service levels across physical, virtual and cloud environments while reducing their technology ownership costs.

Nimsoft Monitor for SAP extends the comprehensive insight of Nimsoft Monitor to core SAP events and components including SAP NetWeaver, SAP ECC, ABAP and Java.

It also features a built-in, updateable knowledgebase of key performance indicators (KPIs) and associated best-practice thresholds to help administrators proactively address potential issues and quickly identify and resolve problems before they impact service levels. When used in conjunction with other Nimsoft Monitor products, it enables customers to gain a unified view into the networks, servers, databases and storage supporting SAP.

AGENTIL, a certified SAP Service Partner and Nimsoft Unified Management Alliance member, combined its deep knowledge of SAP with the powerful Nimsoft Unified Manager architecture and APIs to develop the solution.

Nimsoft Monitor for SAP users gain:

• A unified view of SAP and associated network, server, database and storage components to facilitate collaboration and accelerate troubleshooting

• Simple template-based configuration to automate deployment across multiple SAP landscapes

• An agent-less design to provide non-intrusive and secure collection of KPIs

• A growing knowledgebase of best-practice monitors and SAP transaction templates and thresholds

Nimsoft Monitor is a component of Nimsoft Unified Manager, a multi-tenant IT Management-as-a-Service solution that combines industry-leading infrastructure monitoring and ready-to-use ITIL-based service management.

The Latest

For many B2B and B2C enterprise brands, technology isn't a core strength. Relying on overly complex architectures (like those that follow a pure MACH doctrine) has been flagged by industry leaders as a source of operational slowdown, creating bottlenecks that limit agility in volatile market conditions ...

FinOps champions crucial cross-departmental collaboration, uniting business, finance, technology and engineering leaders to demystify cloud expenses. Yet, too often, critical cost issues are softened into mere "recommendations" or "insights" — easy to ignore. But what if we adopted security's battle-tested strategy and reframed these as the urgent risks they truly are, demanding immediate action? ...

Two in three IT professionals now cite growing complexity as their top challenge — an urgent signal that the modernization curve may be getting too steep, according to the Rising to the Challenge survey from Checkmk ...

While IT leaders are becoming more comfortable and adept at balancing workloads across on-premises, colocation data centers and the public cloud, there's a key component missing: connectivity, according to the 2025 State of the Data Center Report from CoreSite ...

A perfect storm is brewing in cybersecurity — certificate lifespans shrinking to just 47 days while quantum computing threatens today's encryption. Organizations must embrace ephemeral trust and crypto-agility to survive this dual challenge ...

In MEAN TIME TO INSIGHT Episode 14, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses hybrid multi-cloud network observability... 

While companies adopt AI at a record pace, they also face the challenge of finding a smart and scalable way to manage its rapidly growing costs. This requires balancing the massive possibilities inherent in AI with the need to control cloud costs, aim for long-term profitability and optimize spending ...

Telecommunications is expanding at an unprecedented pace ... But progress brings complexity. As WanAware's 2025 Telecom Observability Benchmark Report reveals, many operators are discovering that modernization requires more than physical build outs and CapEx — it also demands the tools and insights to manage, secure, and optimize this fast-growing infrastructure in real time ...

As businesses increasingly rely on high-performance applications to deliver seamless user experiences, the demand for fast, reliable, and scalable data storage systems has never been greater. Redis — an open-source, in-memory data structure store — has emerged as a popular choice for use cases ranging from caching to real-time analytics. But with great performance comes the need for vigilant monitoring ...

Kubernetes was not initially designed with AI's vast resource variability in mind, and the rapid rise of AI has exposed Kubernetes limitations, particularly when it comes to cost and resource efficiency. Indeed, AI workloads differ from traditional applications in that they require a staggering amount and variety of compute resources, and their consumption is far less consistent than traditional workloads ... Considering the speed of AI innovation, teams cannot afford to be bogged down by these constant infrastructure concerns. A solution is needed ...