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AppDynamics Announces SAP Peak

AppDynamics announced SAP Peak, providing technologists with a new and comprehensive set of monitoring tools that connect the most critical components of SAP landscapes with real-time business context.

SAP Peak gives enterprise companies deep visibility into their SAP environments and how they are driving business performance.

More than ever before, every business is a digital business, relying on a variety of applications, technologies and platforms to keep business operations running seamlessly and in turn - deliver flawless digital user experiences. Enterprise Resource Planning (ERP) and business intelligence tools are among these critical solutions, and for global enterprises, SAP is the most widely adopted ERP provider with 77 percent of all worldwide business transactions touching an SAP landscape in some form. The ability to monitor these increasingly complex environments is crucial, particularly as enterprise organizations shift their SAP workloads to S/4 HANA and public clouds. But limitations with SAP have meant that technologists have struggled to identify performance issues across their SAP landscapes and the applications they connect. Resulting outages, issues with core transactions and lengthy mean-time-to-resolution (MTTR) all negatively impact the customer and employee digital experience and ultimately cause a loss in productivity and revenue.

With AppDynamics SAP Peak, technologists can now monitor the SAP landscape in real-time, including logs, metadata, background jobs, S/4HANA database and the application server. This enables technologists to gather the business critical insights they need to ensure the smooth running of their operations. With full stack observability across SAP and non-SAP components before, during and after migration, organizations can also mitigate risk and confidently move to S/4HANA or the cloud.

“With the cost of an application failure averaging more than $500,000 an hour, it is critical that businesses today have a cohesive system in place to monitor and measure their increasingly complex IT environments,” said Vipul Shah, Chief Product Officer, AppDynamics. “AppDynamics SAP Peak is the only solution that gives enterprises a single source of truth of their SAP landscapes with the real-time business context needed to prevent and resolve problems that could have a negative impact on the user experience and in turn, overall business outcomes.”

SAP Peak builds on AppDynamics’ existing SAP monitoring solution by providing new and advanced functionality, including:

- Business iQ for Business Scenario Transaction Analytics: Bringing visibility and understanding to how bottlenecks are impacting critical business processes by allowing users to monitor key SAP business scenarios, starting with Order to Cash, and then correlating that information back to business performance.

- ABAP Code-Level Visibility: Provides base-level APM functionality for SAP monitoring that includes transaction/code level visibility, dynamic baselining, easier Root Cause Analysis of issues, reduced MTTR and application flow maps of the SAP ABAP stack.

- Deep SAP Performance Insights: Supplies dashboards that display performance metrics, logs and events for the overall SAP landscape, including processes outside of the user business transactions. These views can help to reduce cost of managing data, save time in performance and regression testing, and help provide visibility into the availability of business related transactions.
- Server and Network Visibility: Facilitates full-stack visibility across SAP landscapes to identify and isolate infrastructure performance issues, further reducing MTTR and breaking down operational silos.

AppDynamics SAP Peak is generally available today.

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AppDynamics Announces SAP Peak

AppDynamics announced SAP Peak, providing technologists with a new and comprehensive set of monitoring tools that connect the most critical components of SAP landscapes with real-time business context.

SAP Peak gives enterprise companies deep visibility into their SAP environments and how they are driving business performance.

More than ever before, every business is a digital business, relying on a variety of applications, technologies and platforms to keep business operations running seamlessly and in turn - deliver flawless digital user experiences. Enterprise Resource Planning (ERP) and business intelligence tools are among these critical solutions, and for global enterprises, SAP is the most widely adopted ERP provider with 77 percent of all worldwide business transactions touching an SAP landscape in some form. The ability to monitor these increasingly complex environments is crucial, particularly as enterprise organizations shift their SAP workloads to S/4 HANA and public clouds. But limitations with SAP have meant that technologists have struggled to identify performance issues across their SAP landscapes and the applications they connect. Resulting outages, issues with core transactions and lengthy mean-time-to-resolution (MTTR) all negatively impact the customer and employee digital experience and ultimately cause a loss in productivity and revenue.

With AppDynamics SAP Peak, technologists can now monitor the SAP landscape in real-time, including logs, metadata, background jobs, S/4HANA database and the application server. This enables technologists to gather the business critical insights they need to ensure the smooth running of their operations. With full stack observability across SAP and non-SAP components before, during and after migration, organizations can also mitigate risk and confidently move to S/4HANA or the cloud.

“With the cost of an application failure averaging more than $500,000 an hour, it is critical that businesses today have a cohesive system in place to monitor and measure their increasingly complex IT environments,” said Vipul Shah, Chief Product Officer, AppDynamics. “AppDynamics SAP Peak is the only solution that gives enterprises a single source of truth of their SAP landscapes with the real-time business context needed to prevent and resolve problems that could have a negative impact on the user experience and in turn, overall business outcomes.”

SAP Peak builds on AppDynamics’ existing SAP monitoring solution by providing new and advanced functionality, including:

- Business iQ for Business Scenario Transaction Analytics: Bringing visibility and understanding to how bottlenecks are impacting critical business processes by allowing users to monitor key SAP business scenarios, starting with Order to Cash, and then correlating that information back to business performance.

- ABAP Code-Level Visibility: Provides base-level APM functionality for SAP monitoring that includes transaction/code level visibility, dynamic baselining, easier Root Cause Analysis of issues, reduced MTTR and application flow maps of the SAP ABAP stack.

- Deep SAP Performance Insights: Supplies dashboards that display performance metrics, logs and events for the overall SAP landscape, including processes outside of the user business transactions. These views can help to reduce cost of managing data, save time in performance and regression testing, and help provide visibility into the availability of business related transactions.
- Server and Network Visibility: Facilitates full-stack visibility across SAP landscapes to identify and isolate infrastructure performance issues, further reducing MTTR and breaking down operational silos.

AppDynamics SAP Peak is generally available today.

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In the world of digital-first business, there is no tolerance for service outages. Businesses know that outages are the quickest way to lose money and customers. For smaller organizations, unplanned downtime could even force the business to close ... A new study from PagerDuty, The State of AI-First Operations, reveals that companies actively incorporating AI into operations now view operational resilience as a growth driver rather than a cost center. But how are they achieving it? ...

In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...