Systems | Development | Analytics | API | Testing

confluent

From Pawns to Pipelines: Stream Processing Fundamentals Through Chess

Jul 2, 2025 By Vish Srinivasan In Confluent
We understand new concepts by linking them to familiar ones. These analogies aren’t just helpful; they’re how we think. For me, that something familiar is chess, and I’ll use it to explain some of the core ideas behind stream processing—a concept that requires a shift from seeing tables as static snapshots to treating tables as materialized projections of a continuous stream of changes.
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ably

Chat SDK vs self-build: How to choose the right architecture for in-app messaging?

Jul 2, 2025 By Faye McClenahan In Ably
In-app chat has gone from a nice-to-have to an essential product feature across gaming, SaaS, social, and live streaming apps. While it’s tempting to treat it as “just another feature,” the reality is that building chat touches nearly every layer of your stack - from low-latency delivery and message ordering to presence, typing indicators, moderation. And then there is operating at scale to consider.
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appian

Fast, Fair, and Frictionless: Reinventing Claims with AI and Workbenches

Jul 2, 2025 By Karlyn Carnahan In Appian
In insurance, the claims process is the real “moment of truth.” It's when customers find out if their insurer is truly there for them. They don’t just want fair treatment—they also expect their claims to be handled quickly and easily. But the reality? Claims often take way too long because of outdated, clunky processes. And the growing tsunami of data needed to adjust a claim can create information overload for an adjuster.
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Top 10 Reasons to Move to Qlik Cloud

Jul 2, 2025 By Qlik In Qlik
If you're still using Qlik Sense on Windows, it's time to consider a smarter, more powerful alternative. Qlik Cloud Analytics is purpose-built for modern data needs, offering a next-generation platform that combines AI-driven insights, automation, and enterprise-grade security—all without the overhead of traditional infrastructure. In this video, we’ll explore the top 10 reasons why migrating to Qlik Cloud is not just an upgrade, but a strategic move to accelerate innovation, enhance collaboration, and reduce costs across your organization.
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How AI is Changing Real Estate - With Julie Blanc, Rentana | The Innovation Blueprint

Jul 2, 2025 By ORIL In ORIL
In this episode of The Innovation Blueprint Podcast, we speak with Julie Blanc, Co-Founder & CEO at Rentana. Rentana is the AI-powered, first-of-its-kind revenue intelligence platform built for multifamily owners and operators. In This Episode, You’ll Learn:– Origin and inspiration behind the Rentana solution– Data integration and privacy approach– Core AI functionalities and future enhancements– The broader impact of AI on the PropTech and real estate industries.
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appsignal

How to Use MongoDB in Python Flask

Jul 2, 2025 By Federico Trotta In AppSignal
When developing software applications, data storage is a key concern. The reality is that your first concern should be the data model you choose, which in turn affects how you store data. Generally speaking, this means deciding between SQL and NoSQL databases. In this article, you will learn how to use MongoDB, a popular NoSQL database, in a Flask application. First, you will learn why MongoDB is a good choice, and then we will implement a practical hands-on project using MongoDB in Flask.
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smartbear

From Hours to Seconds: How QMetry Uses AI to Redefine Test Case Creation

Jul 2, 2025 By Klaudia Makiej In SmartBear
Testing has evolved far beyond scattered spreadsheets and disconnected tools. Yet even with modern platforms in place, teams still run into bottlenecks, especially when fundamental tasks like test case creation are handled manually. It involves combing through acceptance criteria, writing out each step, and reviewing everything for gaps. Repeating that across multiple user stories quickly drains time and slows progress – it’s repetitive, time-intensive, and prone to inconsistency.
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smartbear

Modern apps broke observability. Here's how we fix it.

Jul 2, 2025 By Gary Wood In SmartBear
This article originally appeared on DevPro Journal. We’re sharing it here for our audience who may have missed it. For years, APM tools were everyone’s go-to solution for understanding how software behaved in production. And for a time, they worked, because architecture was simpler. Developers owned the backend, the frontend, and the data layer. Everything lived inside a monolith. If something went wrong, they could trace it through their codebase and fix it.
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