An article on building an AI agent to interact with Apache Airflow using PydanticAI and Gemini 2.0, providing a structured and reliable method for managing DAGs through natural language queries.
- Agent interacts with Apache Airflow via the Airflow REST API.
- Agent can understand natural language queries about workflows, fetch real-time status updates, and return structured data.
- Sample DAGs are implemented for demonstration purposes.
- Agent interacts with Apache Airflow via the Airflow REST API.
- Agent can understand natural language queries about workflows, fetch real-time status updates, and return structured data.
- Sample DAGs are implemented for demonstration purposes.
A reflection on the key achievements, contributions, and community efforts of 2024 for OpenTelemetry, including multilingual documentation and IA improvements.
Breser is a powerful and flexible query language designed for efficient log processing and structured data filtering. It provides an intuitive syntax that combines the familiarity of programming languages with the specific needs of log analysis and data querying.
This chapter covers the fundamental syntax elements and field access mechanisms for accessing and manipulating data fields within structured data.
This chapter covers the fundamental syntax elements and field access mechanisms for accessing and manipulating data fields within structured data.
Breser stands for Business Rules & Expression Syntax for Easy Retrieval. It is a powerful and flexible query language designed for efficient log processing and structured data filtering.
Save 90% of time searching and browsing logs with Logdy, a tool that provides a powerful and secure UI for log management, supporting any format and offering a low-code TypeScript log parser.
Elasticsearch’s latest innovation in log management cuts the storage footprint of log data by up to 65%, enabling observability and security teams to expand visibility without exceeding their budget while keeping all data accessible and searchable.
Key features of LogsDB Index Mode include:
- Improved indexing speed and efficiency for log data, which is typically unstructured and high volume.
- Enhanced storage efficiency by utilizing a columnar storage format, which is better suited for log data analysis.
- Simplified configuration and tuning, making it easier to manage and optimize log data workflows.
Key features of LogsDB Index Mode include:
- Improved indexing speed and efficiency for log data, which is typically unstructured and high volume.
- Enhanced storage efficiency by utilizing a columnar storage format, which is better suited for log data analysis.
- Simplified configuration and tuning, making it easier to manage and optimize log data workflows.
Learn about tldr, a command that simplifies Linux command help with concise, accessible pages and key examples. Install tldr using npm or Homebrew, then use commands like 'tldr grep' to quickly access command help.
Find and experiment with AI models for free, then switch to a paid Azure account when you're ready to bring your application to production.
- GitHub Models allows users to find and experiment with AI models for free.
- To find AI models, users can go to GitHub Marketplace and click on Models in the sidebar.
- The playground, available in the GitHub Marketplace, allows users to adjust model parameters and submit prompts to see the model's response.
- Users can compare two models simultaneously and are rate-limited.
- GitHub provides free API usage for experimenting with AI models in your own application.
- GitHub Models allows users to find and experiment with AI models for free.
- To find AI models, users can go to GitHub Marketplace and click on Models in the sidebar.
- The playground, available in the GitHub Marketplace, allows users to adjust model parameters and submit prompts to see the model's response.
- Users can compare two models simultaneously and are rate-limited.
- GitHub provides free API usage for experimenting with AI models in your own application.
GitHub Models now allows developers to retrieve structured JSON responses from models directly in the UI, improving integration with applications and workflows. Supported models include OpenAI (except for o1-mini and o1-preview) and Mistral models.
Explore various open-source tools for monitoring your home network, including Grafana, Zabbix, PRTG, Pi.Alert, Cacti, Nagios Core, Icinga 2, Prometheus, NetXMS, and Ntopng. These tools help manage network traffic, identify performance bottlenecks, and enhance security.
