Systems | Development | Analytics | API | Testing

7 Best Service Virtualization Tools in 2026

Service virtualization tools have become indispensable for organizations seeking to streamline their testing and development processes. These tools allow teams to simulate the behavior of critical software components, enabling more rapid development with overall cost reduction and improved collaborative outcomes. As demand mounts for service virtualization solutions, identifying the best tools to support this workflow in the software development lifecycle has never been so important.

The 4 Golden Signals of Monitoring Explained

As a team, we have spent many years troubleshooting performance problems in production systems. Applications have become so complex that you need a standard methodology to understand performance. Our approach to this problem is called the Golden Signals. By measuring these signals and paying very close attention to these four key metrics, providers can simplify even the most complex systems into an understandable corpus of services and systems.

What Is a Unified Quality Platform? Why Point Solutions Fail Enterprise Teams

Every engineering function has a system of record. Developers have GitHub. Product teams have Jira. Infrastructure has Datadog. Customer success has Salesforce. But ask a Head of QA where their single source of truth lives, and the answer is usually a pause, followed by "...it depends which tool you mean.".

VASS & Appian AI: Transforming Procurement for a Billion-Dollar Future

Discover how VASS, a global digital transformation leader, partnered with Appian to revolutionize their procurement process with Appian AI. Learn how they achieved a 40% reduction in processing time and a 70% decrease in email communication, streamlining operations and mitigating risks as they work toward their VASS @ 1 billion goal by 2028.

Integrated Financial Planning: How To Streamline Your Plan-to-Close Process

For most finance teams, the journey from annual planning through to financial close is anything but smooth. Spreadsheets pile up, emails get lost in inboxes, and critical financial data lives in disconnected systems across business units. The result? Delayed decisions, eroded profitability, and a planning process that exhausts the very people responsible for driving the organization forward.

Mobile App Performance Testing: How to Measure, Resolve, and Prevent Performance Regressions

From optimizing startup times to simulating real-world network chaos, discover how to build an automated mobile performance testing strategy that scales across thousands of real devices and protects your user experience.

Stop Losing Customers to Analytics Delays: Real-Time Insights with Spotter for Tech/Software

Your customer service team flags churn risk in a quarterly review. Your product team spots low adoption in a dashboard two weeks later. By the time anyone acts, the customer is already gone. The delay is the real cost of fragmented analytics in software companies. Spotter for Software and Tech surfaces those signals in real time. It connects product usage, sales pipeline, and customer health data so that teams can ask questions like “Which accounts dropped engagement this month and what changed?” This way, they get answers quickly and can act immediately.

This week on The AI Forecast: prevent AI agents from going off the rails #short #tech #fyp

*Does your enterprise have governance over teams of AI agents?* This week, Tatyana Mamut, PhD, joins The AI Forecast to talk about why agentic AI needs to be managed like human teams. This conversation goes beyond technology; Tatyana also reflects on leadership and representation in tech, challenging assumptions about opportunity, and exhibiting why diverse ways of thinking are critical in an AI-driven world.

Practical Strategies to Monetize AI APIs in Production

AI APIs don't get enough credit for how much weight they're actually carrying. These AI APIs aren't merely technical connectors. They're, in fact, cost drivers and potential revenue engines. And when something goes sideways, they're ground zero. In production, they behave nothing like the traditional APIs your teams have been running for years; they introduce a whole new set of hurdles around operations, security, and governance that most organizations are still struggling to understand.