Systems | Development | Analytics | API | Testing

Modals are widely used on the web, but they are rarely built with accessibility in mind. When a modal is displayed, the background is dimmed visually but it's still visible to screen readers and keyboard-only users. In this post, the first of a two-part series, we'll look at presenting accessible modals in Rails using two different approaches powered by Hotwire's Turbo and Stimulus libraries. But first, let's see what we need to do to make modals accessible.

Change data capture (CDC) has long been one of the most popular, reliable, and quickest ways to connect your database tables into data streams. It is a powerful pattern and one of the most common and easiest ways to bootstrap data into Apache Kafka®. But it comes with a relatively significant drawback—it exposes your database’s internal data model to the downstream world.

We previously announced Snowflake’s Unistore workload, which continues Snowflake’s legacy of breaking down data silos by uniting transactional and analytical data in a consistent and governed platform. Today, we are pleased to announce that Hybrid Tables — the core feature powering Unistore — is in public preview in select AWS regions. Hybrid Tables is a new table type that enables transactional use cases within Snowflake with fast, high-concurrency point operations.

We are thrilled to announce the public beta release of Multiplayer, a platform created to transform the way teams design, develop, and manage distributed software.

Imagine you’re a miner with a canary in a cage. If the air is toxic, the canary reacts first, giving you a heads-up. Canary testing works in a similar fashion for your software. Instead of releasing the whole flock (users) into a potentially toxic or buggy environment, you release just one canary (a small subset of users) to test the waters.

Gen AI is quickly reshaping industries, and the pace of innovation is incredible to witness. The introduction of ChatGPT, Microsoft Copilot, Midjourney, Stable Diffusion and many more incredible tools have opened up new possibilities we couldn’t have imagined 18 months ago. While building gen AI application pilots is fairly straightforward, scaling them to production-ready, customer-facing implementations is a novel challenge for enterprises, and especially for the financial services sector.

Data is often described with cliches like, it's "the new oil" or “the new air.” No matter how you describe it, there is no denying the increasing importance of data monetization across every industry. Forward-thinking organizations recognize data apps as both a revenue stream and a differentiated service to increase customer loyalty.

Sifting through vast amounts of data for usable information is both challenging and time-consuming for independent software vendors (ISV) in today’s fast-paced market. But without a continuous search for timely insights, you risk your end-users missing critical business opportunities, or failing to address emerging issues in their data promptly, potentially leading to dissatisfaction and churn.

As the world grapples with the escalating climate crisis, many industries are re-examining their operations to identify and implement sustainable practices. The telecommunications industry is no exception. Telecom companies face growing pressure from consumers, investors and regulators to reduce their carbon footprint and achieve net-zero emissions. This shift towards sustainability aligns with environmental responsibility and presents lucrative business opportunities for telecoms.