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Modern Software Development For Today's Systems & Applications
Latest posts
LLM Cost Management: How to Implement AI Showback and Chargeback
Every enterprise moving AI into production is about to face a familiar problem in an unfamiliar form: the cost explosion, but for LLMs. This is *very *similar to what happened with cloud. In the early days of cloud, teams spun up infrastructure with no visibility into who was consuming what. Finance got the bill. Engineering got the blame. No one had the data to make good decisions. It took years of hard-won FinOps discipline to fix that. LLM spend is on the same trajectory *and moving faster*.
The testing disconnect that's undermining your API quality
In 2026, APIs have moved far beyond simple integration points. They’re now strategic business assets powering AI transformation, microservices architectures, and multi-cloud ecosystems. But a critical challenge threatens to undermine digital initiatives: the fragmentation of API testing. As organizations rush to deliver faster, they’re discovering that their testing infrastructure – cobbled together from disparate tools and disconnected processes – has become the bottleneck.
Introducing the Katalon MSP Program: Deliver Scalable QA Services Without Building Custom Frameworks
Katalon is introducing a new MSP Program designed for our official solution and service partners. Built for partners delivering QA services across multiple customer engagements, the True Platform MSP Program offers a more flexible way to scale delivery with Katalon’s all-in-one testing platform.
Custom MCP Server vs. AI Data Gateway: Which Is Right for Enterprise AI?
The Model Context Protocol (MCP) is quickly becoming the standard for how large language models connect to enterprise data. As adoption accelerates, engineering teams face a foundational decision: build a custom MCP server from scratch, or adopt an AI data gateway that ships with MCP support, security, and governance out of the box. Both paths have real tradeoffs. This post breaks them down so you can make the right call for your stack, your team, and your risk profile.
Set Up a Self-Hosted Gateway with WSO2 API Platform
Learn how to create, deploy, and manage a self-hosted gateway using the *WSO2 API Platform.* A self-hosted gateway allows you to maintain control over where and how you deploy APIs while utilizing a unified control plane in WSO2 API Platform.
Why do AI agents fail in the enterprise? #aiagents #shorts
Intelligence isn't enough. To make smart decisions, AI agents need context. Shafrine (WSO2) breaks down why integration is the secret sauce to moving AI from a pilot project to a high-performing "agentic" workforce. Learn how connecting your siloed systems provides the "informed decision-making" power agents need to actually get work done.
Software Testing Built Itself Into a Corner. Intent-Driven Testing is the Way Out.
The quality tax isn't primarily a resourcing problem. It's a paradigm problem. And paradigm problems don't yield to incremental solutions.
Spotter for Industries: Built for Your Business | Full Intro - March Spotlight
Why do most BI tools feel like they were built for someone else? Because they were built to be general—and "general" doesn't cut it in the Agentic era. At our March Spotlight, ThoughtSpot CMO Micheline Nijmeh introduces the unveiling of Spotter for Industries: AI designed from the ground up to understand your specific metrics, workflows, and priorities. We’re moving past the hype to deliver real business results.
InsightSoftware: What Tableau's Cloud-Only Future Means for Governed AI and Embedded Analytics
Tableau Server isn't being deprecated. It's just being quietly left behind, at exactly the moment AI is making the stakes higher. The market has shifted. Buyers who were already evaluating their embedded analytics stack are now asking a new question: how do we deploy AI-driven analytics in a way that aligns with the regulatory, governance, and data control requirements we have to meet? For ISVs and SaaS vendors, that question does not always have a cloud-only answer.
Why You Should Stop Buying SaaS and Start Building It
Most founders have a build problem. Very few have solved the distribution problem. That gap is where startups die. When someone comes to me with a startup idea (and this happens more than you’d think), I always ask the same question first.