Systems | Development | Analytics | API | Testing

Connect Replit to On-Prem SQL Server

Connect Replit to an on-prem SQL Server database without opening a single firewall port or handing over a database password. In this video I put DreamFactory in front of a SQL Server database on my local network, generate a REST API from it, lock that API down with a read-only role and a scoped API key, then I have Replit build a live delivery operations dashboard on top of it. Replit calls the API from the app's backend, so the key never reaches the browser.

Real Estate Investment Dashboards: What Should Executives Actually See?

Investment leaders may see the same portfolio figures across board decks, monthly reports, and multiple reporting tools. Occupancy, cash flow, returns, and budget variances are all there. What is harder to get from that reporting is a quick understanding of what changed, whether it matters, and which asset or market deserves attention next. A reporting screen shows the numbers.

AI Agent Manager

This lab was presented at WSO2Con Africa 2026. Presenters: Asanka Abeyweera, Associate Director - Head of Product Management & Architecture, Agent Platform BU, WSO2 Viggnah Selvaraj, Lead Sales Engineer, WSO2 Getting an AI agent to work is only the start. Once it runs, you need to show exactly what it said and why, keep compliance rules in force across agents built by teams that have never met, tell whether quality is improving or slipping, and make sure each agent reaches only the systems it needs.

AI Agent Manager part 2

This lab was presented at WSO2Con Africa 2026. Presenters: Menaka Jayawardena, Technical Lead & Head of Engineering, Agent Platform BU, WSO2 Viggnah Selvaraj, Lead Sales Engineer, WSO2 This is the second half of the hands-on AI Agent Manager lab. It picks up where part one left off and keeps the focus on operating AI agents that already work, rather than writing new ones.

Introducing Kong Bot Detector: Native API Bot Detection for Dedicated Cloud Gateways

Bots make up more than a third of internet traffic, and API endpoints attract more of it than web pages do. Scanners hunting for.env files, credential-stuffing scripts, LLM training crawlers, and the long tail of low-effort probes all hit your gateway before they ever reach a service. Every one of those requests costs you — in upstream load, in noise across your analytics, and in the bill.

Best Unreal Engine Version Control? Benchmarking Perforce P4, Lore, and More

As part of my work, I regularly consult with teams comparing Unreal Engine version control performance and weighing whether Perforce P4 is the right fit for their projects. Based on these conversations, I decided to develop a repeatable framework that others can use to objectively benchmark P4 against other version control systems.

Reducing GitHub reliability risk for tool installs

You’ve probably encountered the online conversations about GitHub’s AI scaling challenges. A lot of the chatter is about how forgiving (or not) users should be to GitHub in light of inexorable traffic increases but also GitHub’s own decision-making. There is certainly irony in the fact that it was a swashbuckling GitHub, against the objections of many open source developers, that pressed Copilot on the industry.

A token is not a message: stop storing AI responses like event logs

How you store a streamed AI response decides what a client sees when the client joins partway through. A human agent taking over a support conversation, a refreshed browser, and a second device all need the response generated so far, and depending on how the response was stored, that late joiner gets the full response, fragments, or nothing. This article compares four common ways to store a streamed response, what each one gives a late joiner, and what each one costs your team.

Agentic AI Governance: The Complete Guide to Frameworks and Controls

Agentic AI governance is the structured management of the authority an organization hands to autonomous AI systems that plan and take action on its behalf. It covers what an AI agent is allowed to do, which systems it can touch, and how those permissions are monitored, limited, and revoked using robust autonomous AI governance controls.