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Terminate Idle Connections Automatically

Learn how to automatically close inactive connections in your Aiven for PostgreSQL service using pgBouncer’s idle timeout setting. In this demo, we’ll walk through the Aiven Console to adjust the server_idle_timeout value in pgBouncer’s advanced configuration, helping you optimise performance and free up resources by terminating idle connections faster.

Orbital Materials: WorldClass AI Models Built on CivoStack

Daniel Miodovnik, COO of Orbital Materials, explains how the CivoStack enables world‑class AI models that outperform the big‑tech giants. He outlines the power‑draw and cooling of megawatt‑scale GPU racks, the water‑ and CO₂‑intensity of today’s data centres, and why a sovereign, Civo‑based solution is the key to speed, and predictable costs.

How to Optimize GPU

The Problem: AI workloads are dynamic, unpredictable, and expensive. Data prep can choke your pipeline, training jobs hog GPUs without awareness, and inference, the most latency-sensitive phase, is notoriously hard to scale efficiently. Worse, traditional infrastructure tools treat GPU as a static commodity, ignoring model intent, workload shape, and sharing capabilities.

MOCK AWS SES Locally! Stop Sending Test Emails & Cut Cloud Costs

In this quick guide, Speedscale's Matt LeRay shows you how to free your local development environment from direct AWS SES dependencies. When your application sends an email during local testing, it usually triggers a live AWS transaction, leading to slow tests, unnecessary cloud costs, and sometimes even spam filter issues.

Stop Getting Charged for Test Emails! #speedscale #aws #ses

Tired of local development using AWS SES leading to spam, cloud costs, and unnecessary API calls? When testing your app, you shouldn't have to connect to a live cloud environment just to send a test email. Learn how to set up your own local ProxyMock server to intercept and record real SES calls, so you can replay them instantly and accurately without ever leaving your desktop.

Coffee and Claude: How Honeycomb MCP Makes AI Work for You

If you caught our recent Introducing Honeycomb MCP: Your AI Agent’s New Superpower webinar, you know it was a lively mix of big ideas, demos, and a few laughs about the messy, fast-moving world of AI. Hosted by Austin Parker, Morgante Pell, and James Bland from AWS, the conversation explored how Honeycomb’s new Model Context Protocol (MCP) is changing the way developers and AI agents interact with data.

Building Smarter AI Products #Datadog #DASH #AI

AI capabilities are advancing faster than ever — transforming how teams design, build, and ship intelligent products. In this teaser from Building Successful AI-powered Products at Datadog DASH, experts discuss the rise of agent-based systems, evolving model capabilities, and how to stay ahead in the new era of automation.

Breaking down AI adoption barriers feat. Ivanti's Scott Hughes

ivanti.com/itsm-automation Unlock the secrets to successful Agentic AI deployment and widespread AI adoption in your organization with insights from Scott Hughes, SVP of Revenue Operations and Corporate IT at Ivanti. This video explores why IT-business alignment is critical, the importance of high-quality data, and how legacy infrastructure poses challenges for effective AI integration. Key insights.

Role of Vehicle Technology in Post-Crash Assistance

Modern vehicles do more than prevent crashes. They now help drivers and passengers after impact, guiding first responders, preserving evidence, and speeding up recovery. The most useful systems work in the minutes that follow a collision, when clear information and fast decisions matter most. Automakers, app makers, and cities continue to link cars, phones, and emergency networks, which turns a chaotic moment into a coordinated response.

Bridging the Gap Between AI Writing and Human Expression

Never before has AI dominated the content we read every day as much as today. As each day passes, the online and offline worlds are being filled with AI writing, and soon, it will become difficult to find the human touch in any content. With AI being so prevalent, it has raised an important question: Will the human essence in writing just disappear as we let AI generate more and more writing each day? Does it really have to be an ongoing fight between human creativity and machine algorithms?