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license: apache-2.0 |
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--- |
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# Bylastic: A Log Classifier Compatible with Elastic |
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## Introduction |
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**Bylastic** is an advanced AI-based log classification model specifically designed to categorize records into three levels: **ERROR**, **WARNING**, and **INFO**. Created by **Byviz Analytics**, this model is fully optimized for integration with Elastic, offering an efficient and accurate solution for log management and analysis. |
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## Key Features |
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- **Accurate Classification**: Bylastic classifies logs into three critical categories: **ERROR**, **WARNING**, and **INFO**, helping to quickly identify problems, warnings, and general system information. |
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- **Full Elastic Compatibility**: Designed to seamlessly integrate with Elastic, Bylastic facilitates data ingestion and analysis within the Elastic ecosystem. |
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- **High Performance**: Optimized to process large volumes of logs, ensuring fast and efficient performance even in high-demand environments. |
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- **Easy Integration**: Bylastic can be easily integrated into your existing log processing pipelines, reducing implementation time and associated costs. |
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### Precision Bylastic vs Bert |
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Precision in categorizing logs with example data, Bert cannot identify the categories |
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## Requeriments Bylastic vs Bert |
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## How It Works |
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Bylastic utilizes advanced natural language processing (NLP) techniques, a branch of artificial intelligence (AI), to analyze and categorize logs. The model has been trained with a diverse set of log data, ensuring high accuracy in classification. |
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### Log Categories |
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- **ERROR**: Logs indicating critical failures or serious problems that require immediate attention. |
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- **WARNING**: Logs indicating potential issues that could become errors if not properly managed. |
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- **INFO**: Informational logs that provide details about the normal functioning of the system. |
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## Integration with Elastic |
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Integrating Bylastic with Elastic is straightforward and direct. Here is a quick guide to integrate the model into your Elastic environment: |
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1. **Installation**: Download Bylastic from Hugging Face. |
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2. **Upload the Model**: Use `eland` to upload the model to your Elastic cluster. |
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3. **Create an inference pipeline in Elastic** |
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## Benefits |
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- **Improved Log Management**: Facilitates the identification and resolution of issues by automatically classifying logs. |
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- **Time Savings**: Reduces the time required to manually review and categorize logs. |
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- **Higher Accuracy**: Minimizes human errors in log classification. |
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- **Easy Integration**: Seamlessly integrates with Elastic, leveraging Elastic's advanced search and analysis capabilities. |
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# Load model directly |
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```python |
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from transformers import AutoTokenizer, AutoModelForSequenceClassification |
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tokenizer = AutoTokenizer.from_pretrained("byviz/bylastic_classification_logs") |
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model = AutoModelForSequenceClassification.from_pretrained("byviz/bylastic_classification_logs") |
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``` |
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## Test with Elastic |
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# Contact |
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If you need AI models with personalized training and compatible with elastic or have any suggestions, you can contact: |
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- **[email protected]** |
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- **[email protected]** |
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