Systems | Development | Analytics | API | Testing

Unlocking the Power of Trusted Data Intelligence: Amazon Quick Meets Qlik MCP Server

When was the last time you made a major business decision and were completely certain the data behind it was accurate, complete, and trusted? For most organizations, that certainty is less common than it should be. Qlik and Amazon Quick together solve one of the biggest obstacles to AI adoption: knowing whether you can trust the output.

Ep 83 | From KPIs to Action: What Comes After The Dashboard?

Your dashboard can tell you sales are down, but it can't tell you why or what to do next. Dashboards have become the default way to monitor a business. Bhaskar Sunkara argues they're only the starting point. The next step is AI that understands business context and helps leaders move from insight to action.

How to Build an Ambient Clinical Documentation Solution (AI Medical Scribes) - The 2026 Build Playbook

Clinical documentation has become one of the biggest sources of administrative burden in healthcare. Physicians spend hours every week creating notes, updating EHRs, and completing after hours charting. As a result, healthcare organizations are increasingly investing in ambient clinical documentation solutions that can capture conversations, generate notes, and reduce manual documentation work.

eBPF: Preventing Garbage HTTP Payloads When Reading Kernel Scatter-Gather Buffers

Recently someone on our team opened a traffic snapshot and found an HTTP request that was captured with our eBPF capture agent, nettap. Our protocol dissector parsed most of the response correctly, but that correctness ended once the response headers were processed. What they ended up with was a recording of an HTTP request/response where the response body was just an incorrect collection of garbage binary data when it should have been JSON text.

Playwright API Testing: A Complete Guide (2026)

Playwright is a browser automation framework that also ships a built-in HTTP client for API testing. That HTTP client, called APIRequestContext, lets you send requests and assert on responses directly inside a Playwright test – no browser, no separate tool. If your team already uses Playwright for end-to-end browser tests, the API layer requires no separate testing framework. It runs inside the same suite, the same CI job, the same configuration.

Updating access timestamps without wrecking the database

When you want to know the last time some user was seen or some resource was accessed/viewed, then usually you reach to a timestamp column and update this to the current time whenever it’s seen or accessed. You may have written this kind of SQL statement (or the equivalent) in your ORM yourself a few times: It looks innocent, but even on reasonably small tables, this can cause slow UPDATE statements regularly.

Ably Pub/Sub now supports React Native push notifications

Until now, sending push notifications to a React Native app with Ably meant registering devices manually through the push admin API, usually from a server. The new plugin moves activation where it belongs: onto the device. We've added first class support for React Native apps receiving push notifications through the Ably PubSub JavaScript SDK.

Advancing ThoughtSpot's Commitment to Apache Ossie (Incubating), the Next Chapter of OSI

When the Open Semantic Interchange (OSI) initiative launched last year, it set out to solve a problem every data leader recognizes: the same business metric gets defined a dozen different ways across a company's BI tools, warehouses, and now, AI agents. "Monthly active users" in the CRM rarely matches "monthly active users" in the warehouse, and every new AI copilot added to the stack makes the gap more visible, not less. That initiative has just taken its most consequential step yet.

Use of AI in Software Development

Quick application integrity check: can your quality strategy survive the tsunami of code coming its way? AI is accelerating development, increasing code abstraction, and multiplying the volume of software teams need to validate. But existing QA approaches weren't built for this level of speed and scale. Application integrity closes the growing gap between what teams build and what they can verify, providing continuous assurance that software works as intended.