Systems | Development | Analytics | API | Testing

Case Study 2026: Scaling a SaaS Platform with AI-Powered Load Testing Insights

Consider a SaaS provider experiencing a sudden surge in demand. After years of steady expansion, a viral integration sends active user sessions soaring – tripling overnight. Onboarding speeds up, clients invite their own users, and the platform expands into new regions. With this momentum, the risks escalate: any downtime or performance issue now threatens not only revenue but also customer trust and regulatory standing.

Swift Arrays: Complete Guide to Sort, Filter, Map and Reduce

Swift arrays are one of the most commonly used collection types in iOS and macOS development. They provide ordered, type-safe storage for values and include powerful higher-order functions such as map, filter, reduce, and sort. With value semantics, copy-on-write optimisation, and a rich set of built-in operations, Swift arrays make it easier to write safe, efficient, and expressive code. This guide will empower you to master the basics of Swift arrays and explore all the functionality they provide.

10 Signs You've Outgrown QuickBooks Inventory-and What to Do Next

As a business grows, inventory management becomes more complicated than simply knowing what is in stock. More products, additional sales channels, larger order volumes, and multiple storage locations can quickly turn a once-simple process into an operational challenge. QuickBooks Online offers useful built-in inventory management features for small businesses. It can help track inventory quantities, monitor stock levels, manage purchase orders, calculate inventory value, and keep accounting connected with everyday transactions.

Building a Data Warehouse with the Astera AI Agent: From Prompt to Insight

Establishing a data warehousing system that meets all your business intelligence targets is by no means an easy task. It traditionally involves profiling source systems, designing a dimensional model by hand, writing the DDL to deploy it, building the load pipelines, and scheduling them to run, work that can take weeks. Astera's manual, step-by-step approach to this is covered in Building a Data Warehouse – A Step by Step Approach.

From Recommendation to Action: Scaling Autonomous Databricks Optimization in the Enterprise

Every Databricks optimization platform can tell you what should change. The harder question is: when should a system be trusted to make that change on its own? This session follows the journey of an Unravel customer as we moved from surfacing Databricks platform optimization recommendations to safely applying them in production. Prajakta will talk about the engineering decisions, the guardrails, and the trust model that made autonomous optimization possible in an environment where every change carries operational risk.

P4 One Experiments: Test New Ideas in Unreal Engine | Perforce

Join Josh Sherwood, Perforce Principal Software Engineer, for a walkthrough of P4 One Experiments, Perforce's newest plugin for Unreal Engine. If you've ever wanted to try a new idea in your Unreal project (an alternate character model, a new level layout) without risking your main project, this plugin is built for exactly that.

AgentSpot for Finance - Automating Lease Accounting Agent

Discover what’s possible with AgentSpot as Sheila showcases an AI agent ("Leasey") built to automate lease accounting. From analyzing contracts to creating calculations, schedules, and audit documentation, this workflow shows how teams can use agents to streamline everyday business processes. What is AgentSpot? AgentSpot is an Agentic Workforce Platform for building workflows that make decisions, take action, and deliver results across every system your business runs on, grounded in your data.

A New Dawn: Enterprise AI's Shadow - Trillions of Tokens, Zero Governance

You Can't Govern What You Can't See A decade ago, cloud and API sprawl got ahead of governance, and enterprises spent years trying to account for costs they'd never tracked. Today, we're seeing the same pattern around AI, with hundreds of customers proxying traffic via Kong AI Gateway, which includes LLM, MCP, and agent connectivity. *AI spending will reach $2.59 trillion in 2026.* I regularly like to share what we're seeing in production at Kong.

What Are AI Agents Actually Doing When They Talk to Each Other?

You've probably seen the demos. An AI model kicks off a task, hands pieces of it to other AI models, and somehow the whole thing gets done. Emails drafted, code reviewed, reports summarized — all without a human in the loop. While a single agent doing one thing is impressive, the true paradigm shift occurs when transitioning from single-agent to multi-agent AI systems. It looks like magic. It isn't.