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Your Company Has 10x More Developers Than You Think

The low-code promise failed for 15 years. AI builders delivered in 15 months. Here's what actually changed, why the engineer in me resisted it, and what it means for every CTO. Romaric founded Qovery to make Kubernetes accessible to every engineering team. He writes about platform strategy, developer experience, and the future of cloud infrastructure.

Key Metrics To Better Understand Your Employees

The sad fact of the world is that most businesses don't truly understand their employees. Many managers think they do, but in reality they're often living in ignorance and not really getting a full picture of what they're thinking and feeling. Because of this, it's critical to use data metrics and proper survey methods. When you have operational and sentiment data telling you what employees are doing and how they're feeling, it allows you to better manage them and understand how they operate. This can reduce turnover and make your entire organisation more effective and efficient.

Shopify outage on May 22, 2026 impacted merchants worldwide

On May 22, 2026, merchants using Shopify experienced a brief but widespread disruption that affected access to product pages, collections, and administrative tools. While the outage lasted less than an hour, it created immediate challenges for businesses that rely on Shopify to manage inventory, update products, and operate online stores. StatusGator detected the developing incident at 10:20 UTC using Early Warning Signals, 18 minutes before Shopify officially acknowledged the outage at 10:38 UTC.

Don't Ban the Builders - Govern Them

AI tools turned everyone into a builder. Your sales team, your finance team, your CEO - they're all shipping apps now. The answer isn't to ban them. It's to give them a governed platform they actually want to use. Romaric founded Qovery to make Kubernetes accessible to every engineering team. He writes about platform strategy, developer experience, and the future of cloud infrastructure.

Your Microsoft Azure storage, our data lake power: The best of both worlds

The wait is over for Azure-first organizations. Cribl just launched Cribl Lake Bring Your Own Storage (BYOS) for Microsoft Azure, giving you full data lake power without moving a single byte of telemetry out of your environment. Join us to see how you can finally get the flexibility of a modern data lake while keeping your data in Azure.

Densify: From Visibility to Real Savings: Turning FinOps Insights into Measurable Cost Reduction

FinOps programs are maturing, and most organizations have better visibility into cloud spend than ever before. Dashboards are full of data. And yet costs keep climbing. The problem isn't the data. It's the gap between knowing where the waste is and actually eliminating it. In this joint session, Tangoe and Kubex come together to bridge that gap.

WireMock alternatives: pick the one that fits your problem

Picture this. You’re standing up a new service. Cursor or Claude Code wrote most of the controller, and it calls a payment API your team doesn’t own. Now you need tests. The agent is gamely inventing the response shape from whatever OpenAPI doc you fed it (which is a year stale), and the WireMock stubs it just generated are guesses dressed up as JSON. Three weeks later production breaks, the test suite was green the whole time, and nobody knows where to start looking.

How to Set Up an API Server

NinjaOne Field CTO Jeff Hunter shows how to set up an API server. An API server is a framework for securely integrating data from other services into NinjaOne. One example (and next week's video) would be retrieving current CVE data from a third-party vulnerability scanner and regularly importing that CVE data into NinjaOne for visibility and remediation. Chapter Markers.

How to measure developer experience (DevEx) in the AI era

As AI coding assistants dramatically inflate PR counts, commit frequency, and lines of code, the limitations of individual output metrics have never been more apparent. A developer can now produce significantly more lines per session, but higher volume doesn’t guarantee that the code is stable, maintainable, or successfully running in production. GitClear analyzed over 200 million lines of code and found that code churn nearly doubled following widespread AI adoption.