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In this article we’ll show how we built an image search demo in Aiven Apps. The demo uses the CLIP Large Multimodal Model (LMM) to turn a user’s text prompts into a vector that can be compared with the precomputed vectors for a corpus of images, allowing the user to find images based on their text. While in this example the LMM input (the text prompt) is coming from the user, the principle is the same as for an internally generated query.

Aiven for Valkey includes the Valkey Search module setup and ready to go. Here's what that looks like in practice: a small online shop adding real search on top of the cache it's already running. Needle & Yarn sells the yarn you crochet with (skeins) and the design patterns you crochet from. Like a lot of e-commerce backends, it already runs Valkey as a product cache, with each product stored as a Hash for hot-path performance.

DNS TTL is one of those settings nobody thinks about until it bites them. Then they think about it a lot. This guide explains what DNS TTL is, how it works in plain language, and how to pick the right value for your records. By the end you will know what to set, when to change it, and why it matters when you migrate to a new server.

Enterprise AI struggles not from inadequate models, but from fragmented data architecture. Critical business data remains trapped in legacy systems or lost in streaming complexity. Success requires bridging the gap between modern intelligence layers and underlying systems of record.

IPoDWDM is an architecture that integrates IP routing and Dense Wavelength Division Multiplexing into a single, converged platform. This integration is achieved by placing coherent optics directly into the ports of IP routers and switches, a fundamental shift from traditional network designs. Consequently, this approach eliminates the need for a separate, dedicated layer of optical transponders and their associated shelving.

We have been getting the same request from teams for a while now: “We use Scout for our Rails app. Can we get the same thing for our Node services?” Today the answer is yes. Scout Monitoring now supports Node.js. If your team runs Express or NestJS in production, you get the same errors-and-traces experience that Ruby, Python, PHP, and Elixir teams have had. Let’s walk through what that means in practice.

You can use Grafana Assistant Investigations to automatically discover incidents and help find root causes—and this AI-powered Grafana Cloud feature recently got a major upgrade to give you even more confidence in its findings. You can read more about the behind-the-scenes effort in our new engineering blog Unprompted, where we get into harness engineering, context compaction, benchmarking, and keeping agents alive and working well in long-running sessions.

MSPs already have plenty of tools. The harder problem is getting a clear read on what’s happening across each customer environment, which alerts point to the same issue, and where engineers should start. Choosing the right MSP software is really about choosing the right operating layer for service delivery. MSPs are supporting more customers, more environments, and more alerts, but adding another tool doesn’t always make the work easier.

Something unusual happened in the first half of 2026: the most productive AI coding tool on the market became the most financially dangerous. And the companies that discovered this the hard way read like a Fortune 50 roll call.

Your engineers run Claude Code. Your designers are in Cowork. Half the company has Claude open in a browser tab, and a few are on Cursor. It’s on their laptops, each person authenticated a different way, and none of it touches your gateway. The only record you get is one lump-sum bill at the end of the month. Now you can capture it where it happens – on the laptop.