Systems | Development | Analytics | API | Testing

Apache Kafka 4.3.0 Release Announcement

We are proud to announce the release of Apache Kafka 4.3. This release contains many new features and improvements. This blog post will highlight some of the more prominent ones. For a full list of changes, be sure to check the release notes. With 25 KIPs and over 600 commits since 4.2.0, this release introduces many new features, improvements and bug fixes to all the components. See the Upgrading to 4.3 section in the documentation for the list of notable changes and detailed upgrade steps.

How to Automate Report Scheduling With Logi Report

It’s no secret that businesses everywhere are striving to use AI to automate time-consuming or repetitive tasks. By far one of the most time-consuming tasks business people face is reporting. Whether due to custom exports draining developer time, BI tools that can’t handle document output, or driver maintenance wasting time and focus, reporting can be draining to an organization’s most valuable resources.

Trend Reports: Stop Comparing Load Test Results in Spreadsheets

This post is the second in our "Features Sitting Idle" series, where we explore key OctoPerf features that are either misused, misunderstood, or simply unknown to most users. The question comes up every iteration, and yet teams usually handle it the same way: export two reports, open a spreadsheet, and compare numbers manually. It works, but it doesn't scale. After three or four sprints, no one wants to open another spreadsheet.

Durable Sessions: Why your AI UX keeps breaking and how to fix it

AI products today are being let down not by the models — but by the delivery layer between the agent and the user. In this session, Fiona Corden, Technical Product Manager, at Ably, breaks down why AI UX is eroding consumer trust, how to spot the delivery-layer problems hiding in your product data, and what the companies getting it right are doing differently. You'll come away knowing how to diagnose whether your AI product has a session layer problem, what durable sessions are, and why they're becoming the standard solution for resilient AI UX at scale.

AI agent streaming in action: barge-in, human handover, and session continuity

You're mid-conversation with an AI support agent. You've explained the problem, the agent is halfway through a response, and the connection drops. When you reconnect, the response is gone. You type the same question again. The agent asks the same clarifying questions again. Three minutes of context, gone. Not because the model forgot it, but because the delivery layer stored nothing.