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honeybadger

Django AWS deployment with Elastic Beanstalk

May 14, 2025 By Edidiong Etuk In Honeybadger
Almost every web application is built for end-users to view and use. The application deployment process is an important operation in software development because it allows software to fulfill its purpose. This tutorial is primarily for software companies and developers to aid them in deploying and scaling web applications and services using a platform that automatically handles deployment with ease. Therefore, in this tutorial, we will be deploying a Django application to AWS.
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integrate

AI ETL Tools: Revolutionizing Data Engineering

May 13, 2025 By Donal Tobin In Integrate
In 2025, the integration of Artificial Intelligence (AI) into Extract, Transform, Load (ETL) processes is transforming the data engineering landscape. Traditional ETL workflows are evolving from rigid, manually scripted pipelines into intelligent, adaptable systems powered by AI. These AI-driven ETL tools enable companies to handle increasing data complexity, schema drift, and real-time transformation demands without massive engineering overhead.
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kong

What is MCP? Diving Deep into the Future of Remote AI Context

May 13, 2025 By Michael Field In Kong
The hype for Anthropic’s Model Context Protocol (MCP) has reached a boiling point. Everyone (including Kong) is releasing something around MCP to ensure they aren't seen as falling behind in the ever-changing AI landscape. However, in this mad dash, there remains confusion around MCP and what this standard actually enables. Some see MCP as a total game-changer, and some see it as little more than a thin and unnecessary wrapper. As usual, the truth lies somewhere in between.
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confluent

The Future of AI Agents is Event-Driven

May 13, 2025 By Sean Falconer In Confluent
This article originally appeared on BigDataWire on Feb. 26, 2025. Artificial intelligence (AI) agents are set to transform enterprise operations with autonomous problem-solving, adaptive workflows, and scalability. But the real challenge isn’t building better models. Agents need access to data and tools as well as the ability to share information across systems, with their outputs available for use by multiple services—including other agents.
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katalon

End-to-End Testing With an AI That Thinks Like a Tester and Learns From Users - Meet TrueTest

May 13, 2025 By Katalon In Katalon
During our recent webinar Quality Horizon 2025, the virtual room buzzed with energy, filled with insightful questions that pushed our thinking forward. But one particular query truly struck a chord, a question that elegantly highlighted a core challenge in AI-driven testing: The observation was spot on. It perfectly captured a critical limitation we’ve seen across the current AI testing landscape.
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testhouse

The AI-Driven Future of Test Automation

May 13, 2025 By Testhouse In Testhouse
AI is transforming software testing by introducing intelligent automation techniques. Unlike traditional scripts that follow static instructions, AI-driven testing uses machine learning, computer vision, and NLP to adapt and make data-driven decisions during testing. This shift offers significant advantages. AI can rapidly analyze large datasets (requirements, code changes, past failures) to identify high-risk areas and prioritize testing efforts.
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ClearML

What's New in ClearML v3.25: Vector Database support, Smarter Orchestration, and UI Enhancements

May 13, 2025 By ClearML In ClearML
ClearML v3.25 introduces native support for vector databases within the Hyper-Datasets feature. This release enables users to store and search embeddings directly inside ClearML, opening the door to powerful custom RAG pipelines. In addition, v3.25 includes expanded orchestration metrics, new Application Gateway UI, and a range of UI upgrades to streamline day-to-day operations.
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How I Built a Sales Agent Without Complex Coding Using Astera AI Agent Builder #aiagents

May 12, 2025 By Astera Software In Astera
What if you could build your own sales agent without relying on complex coding or technical expertise? Sadiq Abbas, part of our Growth Team, did just that using Astera’s drag-and-drop visual builder. With Astera AI Agent Builder, we aim to empower businesses to create autonomous AI agents that automate workflows using their enterprise data. Whether it's for customer support, scheduling demo meetings or lead qualification, our simple drag-and-drop interface lets you design agents that fit your specific needs.
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