Systems | Development | Analytics | API | Testing

Enterprise IT leaders are often caught between the pressure to innovate and the demands of maintaining their current tech. When a system slows down or struggles to scale, it can be hard to know what to do. Rather than being stalled by uncertainty or getting distracted by fixes that don’t solve the underlying problems, Appian’s Customer Success experts encourage our customers to start with a core thesis: non-invasive application tuning should always be your first line of attack.

Most test automation tools are sized for one kind of team. The ones a lean QA group can adopt inside a quarter tend to buckle when a compliance officer asks who approved a change and when. The ones large enterprises standardize on often need a dedicated platform team before anyone writes a single test. Anyone who has evaluated tooling knows the feeling of reading a glowing review and realizing it was written by someone at a company nothing like theirs.

For decades, APIs have been the universal handshake of the digital economy. You want data? Call an endpoint. You want to trigger an action? POST a payload. APIs are simple, predictable, and everywhere. But in 2024, Anthropic introduced the Model Context Protocol (MCP), an open standard that dramatically changed how systems speak to one another. MCP enables AI agents to connect with external apps without custom code.

To fully take advantage of AI, your organization needs a solid foundation of automated data integration, context engineering, and an agentic harness.

SAP environments are built to support the business as it grows. Hitachi Vantara’s Virtual Storage Platform One (VSP One) Block High End is certified by SAP to support up to 1,008 SAP HANA nodes. That certification gives organizations a validated benchmark for the scale the platform can support, providing greater confidence as they consolidate, modernize and grow large SAP environments. But scale is only part of what mission-critical SAP systems require.