Systems | Development | Analytics | API | Testing

Live Demo | Build a Reliable Data Foundation for Enterprise Analytics & AI

Sep 10, 2026 By Astera Software In Astera
See how Astera turns data preparation and analytics into a conversational experience. Ask questions in plain language, prepare and analyze data, and turn the results into live dashboards without manually building every step. Astera brings structured and unstructured data into a governed data warehouse, then lets teams explore it through natural language. Every chart is traceable to its source, transformation steps, and underlying logic, so teams can validate how each answer was produced.
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Build Invoice Automation Workflow with AI Agents | Astera ReportMiner

Sep 10, 2026 By Astera Software In Astera
See how Astera ReportMiner uses AI Agents to build invoice automation workflows without the time consuming manual configuration. Upload your invoice requirements, and the Agent builds the workflow for extraction, transformation, validation, and delivery to your preferred destination. It shows each step as it works, so your team can review and verify the process before deployment. Once approved, the workflow can be scheduled to run unattended.
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confluent

Building an Agentic SOC on a Stream

Sep 10, 2026 By Pavel Lineitsev In Confluent
Modern Security Operations Centers (SOCs) are transitioning towards agentic architectures. Traditionally, SOCs relied on rigid, rule-based automation and high human effort. We built an Agentic SOC powered by AI agents that don't just follow rigid, hardcoded rules, but also autonomously investigate, reason, and act like human analysts.
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kong

Kong and Straiker: Runtime Security and Agent-Level Control for AI Agents

Sep 10, 2026 By Claudio Acquaviva In Kong
Kong AI Gateway already gives platform teams a central place to route, observe, and enforce policy across AI traffic. Security teams working alongside those platform teams often need another set of answers: Which agents are connected? Which attack paths actually succeed against them? What happened across the full session or tool chain? And if an agent is compromised, can its next action be stopped before it reaches an enterprise system? The integration is designed to be complementary.
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bugfender

Remote Debugging in IntelliJ: A Practical Guide

Sep 9, 2026 By Aleix Ventayol In Bugfender
Remote debugging using IntelliJ IDEA offers several benefits. Using this JetBrains IDE, you get interactive breakpoints, variable inspection, and debugging integrated directly with the IntelliJ editor. However you can also introduce configuration complexity and potential security risks if you don’t get it right. IntelliJ has become a favorite of the Bugfender team and in this post we’ll walk through the full setup, from the JVM flag to debugging inside a Docker container.
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hitachi vantara

Why Your AI Strategy Needs Both Shared and Shared-Nothing Storage

Sep 9, 2026 By Andy Gremett In Hitachi Vantara
As enterprises scale AI initiatives from the core data center to the edge, many organizations are thwarted by weak data practices and fragmented systems. The attempt to use a one-size-fits-all architectural approach for workloads that have fundamentally different needs is no longer a solution. If your AI ambitions are outgrowing your storage: the solution isn’t just adding more capacity, but matching the right architecture to the right stage of the AI lifecycle.
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Managing Legacy Software Access for Remote Engineering Teams

Managing Legacy Software Access for Remote Engineering Teams

Sep 9, 2026 By SystemsDigest In SystemsDigest
Engineering teams often become distributed long before the software they depend on does. A Windows application built for one office may still contain years of project data and support familiar workflows or specialist functions, even as engineers begin working across sites, from home or on different devices. Replacing that application is not always the first sensible move. If the software still does its job, the more immediate problem may be access. Teams need a practical way to reach a centrally hosted application without installing and maintaining another copy on every engineer's machine.
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tricentis

Closing the gap to AI speed with a holistic test management approach

Sep 8, 2026 By Kateryna Gandzeichuk In Tricentis
Every AI headline this year is about speed: code shipping faster, test scripts generating in seconds, releases compressing from weeks to days. What gets less attention is what happens to quality when everything around it accelerates and the way you manage testing doesn’t.
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