Using an AI coding assistant to migrate an application from one programming language to another wasn’t as easy as it looked. Here are three takeaways.

Staring at endless logs? These powerful terminal tools make debugging faster, visual, and almost fun.

Ripple partners with AWS Bedrock AI to speed up XRPL log analysis, cutting process time from days to minutes for better network efficiency. Ripple is testing Amazon Web Services’ (AWS) Amazon Bedrock ...

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Technology Stack Python 3.13 with type hints and Pydantic models boto3 for AWS CloudWatch Logs API AWS Bedrock (Claude Sonnet 4.5) for AI analysis Strands Agents for agent orchestration and tool ...

This post was sponsored by TAC Marketing. The opinions expressed in this article are the sponsor’s own. After years of trying to understand the black box that is Google search, SEO professionals have ...

Abstract: The “AI-Powered Server Log Management Software” project introduces a machine learning-based anomaly detection solution to optimize the management and analysis of server logs through the ...

Automated log analysis pipeline using PySpark to simulate Azure Databricks workflows. This project parses raw Apache logs, identifies operational patterns and anomalies using SQL queries, and exports ...

Modern enterprises generate oceans of logs that span on-prem, cloud, IoT, and OT. Think identity, device, data, network, and application events. Logs are the backbone of visibility, but logs alone do ...

If you’d like an LLM to act more like a partner than a tool, Databot is an experimental alternative to querychat that also works in both R and Python. Databot is designed to analyze data you’ve ...