Systems | Development | Analytics | API | Testing

Engineering teams want to understand the real health of their applications – not just what was planned or what was tested, but what is actually happening in production. The challenge is that these signals live in different systems, each optimized for a specific part of the delivery lifecycle. Test execution data, issue tracking, and production monitoring each describe a different aspect of system behavior. On their own, they answer narrow questions about validation, delivery, or stability.

RAG evaluation measures how effectively a system retrieves relevant context and uses it to generate grounded answers. These evaluations detect hallucinations, measure retrieval precision and reveal where pipelines degrade after model updates or knowledge-base changes. Engineers rely on these tools to maintain output quality, prevent regressions, validate prompt and architecture choices and ensure that production answers stay aligned with trusted sources.

NVIDIA just announced NVIDIA Nemotron 3, a new family of open models, datasets, and libraries designed to support long-context reasoning and multi-step AI workflows. With the ability to work across enterprise ecosystems, this family of models empowers enterprises to build and deploy reliable multi-agent systems at scale, offering an important set of technologies at a pivotal moment in AI evolution.

November brings expanded on-premise flexibility, deeper analytics customization, and smoother cross-platform automation. TestOps adds on-prem Jira and GitHub integrations, and custom chart creation for faster insights. Studio introduces new MCP Server tools that automate test object management end-to-end. TestCloud simplifies mobile app version handling with dynamic applications and now supports secure live testing on private environments.

Modern enterprises generate data across hundreds of applications, databases, and cloud services. Moving this data efficiently between systems while maintaining quality and consistency requires robust Extract, Transform, Load (ETL) processes that form the backbone of every successful data strategy.

If you work in a regulated industry like medical device design, automotive engineering, or aerospace, you understand that requirements are the bedrock of product development. Without clear, effective requirements, your team risks compliance failures, scope creep, and costly rework. Requirements engineering is the disciplined application of proven principles, methods, and tools to describe the behavior of a proposed system.

Your Perforce IP Lifecycle Management (IPLM) software is a critical asset that benefits from regular management and maintenance. However, managing IPLM can be complex. The scale of deployments can range from a single server to twenty or thirty instances across the globe. An IPLM environment includes a variety of services, such as PI Server, PI Web, PI Cache, Neo4j, Redis, and MongoDB, each with its own set of configurations and log files.

Equipment leasing represents significant financial exposure for most organizations – a often without the strategic attention it deserves. The equipment financing industry encompasses $1.34 trillion in annual volume, yet many organizations pay substantial cost premiums due to process inefficiencies. These inefficiencies stem from preventable gaps in lease management strategy and execution.

After a year of breakthrough innovation in 2025, Tricentis NeoLoad is headed into 2026 with even bigger goals: more intelligence, more automation, and more speed for performance testing at scale. In the coming year, NeoLoad will continue to provide the advanced foundational features to support effective performance engineering practices as well as intelligent workflows that enable quality and performance teams to work more efficiently than ever before.

2025 was one of our biggest years yet. We introduced powerful new capabilities that make it easier for anyone on your team to access the data they need, uncover insights, and share insights across the business —so decisions can happen faster and with more confidence. Here are this year’s top highlights.