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+--- Thread: AIOps Mastery: Reducing Log Costs and Optimizing Operations (/Thread-AIOps-Mastery-Reducing-Log-Costs-and-Optimizing-Operations--707429)
AIOps Mastery: Reducing Log Costs and Optimizing Operations - AD-TEAM - 12-06-2024
![[Image: 780a1de10e9e7705ca7bc98e01ed4b4f.jpg]](https://i124.fastpic.org/big/2024/1206/4f/780a1de10e9e7705ca7bc98e01ed4b4f.jpg)
AIOps Mastery: Reducing Log Costs and Optimizing Operations
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 1h 43m | 1.84 GB
Instructor: Jonathan Dias Baraldi
Master AIOps with GenAI: Optimize system logs, reduce costs, and enhance IT operations through AI-driven insights.
What you'll learn
- Master AIOps concepts and set up infrastructure for efficient log analysis using Kubernetes, ElasticSearch, and Kibana
- Deploy and configure GenAI models (Ollama, Llama3) for real-time insights into system logs and automated anomaly detection.
- Implement AIOps applications with automated alerts, monitoring costs, and optimizing performance through AI-driven solutions.
- Gain practical skills in reducing log storage costs, monitoring alerts in Discord, and continuously improving IT operations.
Requirements
- Basic Knowledge of Kubernetes and Docker - Familiarity with containerized applications and deployments is essential.
- Understanding of Linux Commands - Ability to navigate and manage Linux environments for setting up the infrastructure.
- Experience with DevOps Tools - Some hands-on experience with CI/CD pipelines, monitoring tools, or DevOps processes will be beneficial.
- Access to 3 Virtual Machines and 1 DNS - You'll need: • 3 machines to set up the Kubernetes cluster and infrastructure services. • 1 DNS to facilitate communication between services in the environment.
- Basic Knowledge of Networking - Understanding of DNS configuration and IP management is helpful for setting up the environment.
Description
Here's a compelling course description that highlights each section's value and engages potential students:
Unlock the power of AIOps with this comprehensive course on AI-driven log optimization and cost reduction! This course is designed to take you step-by-step through the core concepts of AIOps, infrastructure setup, and practical deployments with GenAI and large language models (LLMs) to automate, monitor, and optimize system logs. Perfect for IT professionals, DevOps engineers, and anyone eager to leverage AI in operations, this course will transform your approach to managing IT costs and efficiency.
What You'll Learn:
Start with a solid foundation, exploring the fundamentals of AIOps and the infrastructure needed to support advanced AI analysis. Gain hands-on experience with Rancher and Kubernetes deployments, configuring Longhorn for persistent storage and DNS settings, before diving into ElasticSearch and Kibana setups to enable robust log monitoring and visualization.
Learn to deploy GenAI models such as Ollama and Llama3, empowering you to test and utilize these powerful tools in real-time analysis. By the end of the course, you'll implement a full AIOps application, configuring automated alerts with Kibana Watcher and integrating alert tracking on Discord for continuous oversight.
Whether you're an experienced DevOps engineer or exploring AIOps for the first time, this course offers the insights, tools, and practical skills to revolutionize your operations, reduce log costs, and stay ahead in the world of IT innovation. Join now to start mastering AIOps with GenAI!
Who this course is for:
- Ideal for DevOps engineers eager to integrate AI into their workflows and reduce operational costs through AIOps and advanced log analysis.
- Designed for IT professionals looking to master AIOps tools like GenAI, Kubernetes, and ElasticSearch for optimized log management.
- Perfect for those with basic DevOps skills who want to dive deeper into AIOps automation, monitoring, and cost efficiency with real-world applications.
- For tech enthusiasts ready to explore AI-powered monitoring, log optimization, and automated alerts to enhance IT infrastructure management.
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![[Image: WqEiFEnk_o.jpg]](https://images2.imgbox.com/26/49/WqEiFEnk_o.jpg)
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