Systems | Development | Analytics | API | Testing

Real Outcomes with Appian: How Customers Achieve Speed, Scale, and Efficiency

What does real transformation look like in practice? Across industries, organizations are using Appian to simplify complexity, automate mission-critical work, and deliver measurable results fast. In this customer montage, hear directly from leaders who are driving meaningful change with the Appian Platform. From reducing onboarding from six months to just four days, to achieving immediate efficiency gains and scaling to thousands of clients without adding headcount, these stories show how organizations are evolving as the world changes.

Copilot vs Cursor: A Complete AI Coding Assistant Comparison

Coding with artificial intelligence is not just a nice-to-have; AI applications in computer programming are becoming integral to modern computer programming workflows. Presently, two primary applications dominate the discussions in this area: GitHub Copilot and Cursor AI. While both applications provide faster coding times and fewer bugs, fewer bugs, and smarter code, they offer such features in extremely different ways.

The Rise of AI-Driven Performance Engineering

There’s a particular kind of exhaustion that comes with traditional performance testing. You spend weeks building perfect load scenarios, run them overnight and wake up to a wall of red in your monitoring dashboard. Half your day disappears into log files, trying to piece together what went wrong. And just when you think you’ve got it right, a minor UI update breaks everything and you’re back to square one. If this sounds familiar, you’re not alone.

Cloud API Keys vs Resource-Specific API Keys in Confluent Cloud

As you build and manage data streams in Confluent Cloud, securing your interactions with its APIs is paramount. Confluent Cloud offers two types of API keys that manage authentication to the different APIs in Confluent Cloud: cloud API keys and resource-specific API keys. Each has its own distinct characteristics and use cases.

Best Practices for AI in CI/CD QA Pipelines

AI transforms CI/CD testing from reactive bug detection into proactive quality assurance that accelerates release cycles while improving software reliability. Start embedding AI into your testing workflows now because teams that wait will struggle to match the velocity of competitors who already have. Continuous integration and continuous deployment pipelines have become the backbone of modern software delivery.

Building Secure AI Agents with Kong's MCP Proxy and Volcano SDK

Modern AI applications are no longer just about sending prompts to an LLM and returning text. As soon as AI systems need to interact with real business data, internal APIs, or operational workflows, the problem becomes one of orchestration, security, and control. The challenge is to build secure AI agents without embedding fragile logic or exposing sensitive systems directly to a model. This is where a layered architecture using Volcano SDK, DataKit, and Kong MCP Proxy becomes compelling.

What is an MCP? Breaking Down the Model Context Protocol

70% of teams are already integrating generative AI tools into their daily workflows, according to our 2025 State of Game Technology Report. Now more than ever, teams are looking to connect their AI tools to the services and applications they rely on to get work done. To address this issue, the industry has begun to standardize using the Model Context Protocol (MCP) to connect their existing tools and LLMs like Claude, GPT, and Gemini.

What challenges was the customer facing before Katalon, and how were they testing then?

They struggled with constant production bugs, poor quality, and low automation, so much so that the VP of Engineering couldn’t unplug on weekends for fear the website might break. With only ~20% automation and frequent releases across web, mobile, and APIs, they lacked the coverage and resilience needed to prevent defects from leaking into production. — Daisy Hoang, SVP Revenue at Katalon Follow Katalon for more insights in our series!