Operations | Monitoring | ITSM | DevOps | Cloud

What Is an SAP System? A Plain-English Explanation

An SAP system is an installed instance of SAP’s business software that runs an organization’s core processes, like finance, supply chain, and HR, on a single, shared database. If you’re new to a company that runs on SAP, this guide explains what that actually means: what the software does, what an SAP system is made of, and why companies talk about DEV, QAS, and PRD like they’re three different things. They are.

SAP Cloud Connector: Essential for Ground-to-Cloud and AI Operations

When SAP unveiled the Business AI Platform at Sapphire 2026, it folded BTP, Business Data Cloud, and Business AI into a single governed environment. BTP didn’t disappear but became essential architecture underneath SAP’s agentic AI direction. A big part of the repositioning included cloud and AI enablement of existing systems, data and enterprise context: the cloud half of every hybrid SAP estate just got more capable and more strategic, and SAP Cloud Connector plays a central role.

BGP monitoring: Fixing the blind spot in your digital experience monitoring stack

Without Border Gateway Protocol (BGP) monitoring, your digital experience monitoring (DEM) stack can't detect the route hijacks, leaks, or instability that prevent users from reaching your applications. Most DEM stacks miss this entirely, and that gap is where some of the most damaging, hardest-to-diagnose outages happen.

How to Measure Digital Employee Experience and Prove IT's Real Impact

Talking about Digital Employee Experience (DEX) has moved beyond being a trend and become a strategic necessity. In a scenario where almost all work depends on technology, employees’ digital experience directly influences productivity, engagement, the ability to innovate, and even the company’s financial results. The challenge is that many organizations still try to assess DEX using only traditional indicators, such as ticket volume or system availability.

Monitor your Amazon Bedrock workloads with Applications Manager

Organizations are increasingly integrating GenAI capabilities into their applications to deliver richer, more contextual user experiences—from AI-powered customer support and enterprise search to content generation, virtual assistants, and automated workflows. To build and scale these GenAI-powered experiences, they are turning to platforms such as Amazon Bedrock, which provides access to foundation models that developers can integrate into their applications.
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The key to secure transmission: TLS in the Raygun ecosystem

As our lives increasingly move online and data becomes the lifeblood of business, secure data transmission is imperative. From personal conversations to financial transactions, from healthcare records to sensitive business data, nearly everything we do online requires trust that our data is protected. And if you've ever made an HTTPS request, TLS is behind it, providing that trust.

How Insight Is Transforming Managed Services in the AI Era

How will AI reshape managed services? The next chapter of managed services won't be measured by how fast teams react to alerts, but by how well they anticipate and prevent them. ScienceLogic CEO Dave Link and Paul Neiswinger, VP of Global Managed Services at Insight, a leading Solutions Integrator that helps clients solve technology challenges by combining the right hardware, software, and services, discuss the shift from reactive operations to proactive, outcome-driven service, and what it takes for leaders to get there.

The Hidden Risk of Scaling AI Without a Single Source of Truth

AI doesn’t fail because it’s not smart enough—it fails because it can’t see the full picture. In this video, Sterling Parker, Ivanti’s SVP of Technical Solutions and Services, explains why fragmented and "dirty" data is the biggest obstacle holding AI back for organizations today. When AI pulls from disconnected systems, it’s forced to fill in the gaps with its own intelligence, leading to hallucinations and outcomes that are hard to trust. Sterling breaks down how these "cracks in the foundation" can actually create new security vulnerabilities when scaled too quickly.