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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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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 ...

AI is the catalyst for significant investment in data teams as enterprises require higher-quality data to power their AI applications, according to the State of Analytics Engineering Report from dbt Labs ...

Misaligned architecture can lead to business consequences, with 93% of respondents reporting negative outcomes such as service disruptions, high operational costs and security challenges ...

A Gartner analyst recently suggested that GenAI tools could create 25% time savings for network operational teams. Where might these time savings come from? How are GenAI tools helping NetOps teams today, and what other tasks might they take on in the future as models continue improving? In general, these savings come from automating or streamlining manual NetOps tasks ...

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A large majority (86%) of data management and AI decision makers cite protecting data privacy as a top concern, with 76% of respondents citing ROI on data privacy and AI initiatives across their organization, according to a new Harris Poll from Collibra ...

According to Gartner, Inc. the following six trends will shape the future of cloud over the next four years, ultimately resulting in new ways of working that are digital in nature and transformative in impact ...

2020 was the equivalent of a wedding with a top-shelf open bar. As businesses scrambled to adjust to remote work, digital transformation accelerated at breakneck speed. New software categories emerged overnight. Tech stacks ballooned with all sorts of SaaS apps solving ALL the problems — often with little oversight or long-term integration planning, and yes frequently a lot of duplicated functionality ... But now the music's faded. The lights are on. Everyone from the CIO to the CFO is checking the bill. Welcome to the Great SaaS Hangover ...

Regardless of OpenShift being a scalable and flexible software, it can be a pain to monitor since complete visibility into the underlying operations is not guaranteed ... To effectively monitor an OpenShift environment, IT administrators should focus on these five key elements and their associated metrics ...