Monitoring and Logging in DevOps Training for Beginners
This Advanced Monitoring and Logging Training develops strong skills in designing, implementing, and managing modern monitoring and logging systems using Prometheus, Grafana, and the ELK Stack. You learn monitoring fundamentals, metrics collection, alerting, visualization, and centralized logging through hands-on labs and real-world demos. The course covers PromQL, instrumentation, Alertmanager, dashboard creation, log ingestion, and automation. It shows how to improve visibility, detect issues early, and maintain reliable, production-ready environments. By the end of this course, you will be
Skills you'll learn
We may earn a commission if you enroll through our links — it never affects the price you pay.
Similar courses
Production ML with Hugging Face
Learn to deploy ML models to production using the Sovereign Rust Stack—a pure Rust implementation with zero Python runtime dependencies. This hands-on course teaches you to work with three critical model formats (GGUF, SafeTensors, APR), implement MLOps pipelines with CI/CD and observability, and deploy models across GPU, CPU, WebAssembly, and edge targets. Through real-world projects including a Python-to-Rust transpiler (Depyler), browser-based speech recognition (Whisper.apr), and LLM inference benchmarking (Qwen), you'll master format conversion, cryptographic model signing, and performan
All levels
Lakehouse Architecture for AI-Native Data Platforms
This course focuses on designing governed, scalable lakehouse architectures that support AI-native data platforms. Learners translate AI workload requirements into data product SLOs, compare open table formats, design ingestion and replay strategies, manage schema evolution, support reproducibility, and define observability signals for freshness, latency, throughput, and cost. The course emphasizes architecture and operational patterns rather than vendor-specific platform administration. By the end of the course, learners can explain when a lakehouse is preferable to a warehouse or data lake f
All levels
Building Resilient Systems
Building resilient systems requires more than knowing individual tools—it demands the ability to design architectures that anticipate failure and recover effectively. In this intermediate course, you will learn how to apply resilience engineering principles to modern distributed systems, focusing on high availability, fault tolerance, and disaster recovery planning. You will analyze how and why systems fail, identify hidden risks in system architecture, and design strategies that improve uptime and reliability. The course connects key concepts such as load balancing, redundancy, observability
All levels
Deploying & Scaling Spring Boot Applications on AWS
Take your Spring Boot skills to the next level by learning how to deploy, scale, and monitor real-world applications using tools like Docker, AWS ECS, and Spring Security. In this hands-on course, you'll apply essential DevOps practices—CI/CD, containerization, and observability—to move confidently from local development to production-ready deployment. In the first module, you’ll explore modern deployment workflows, external configuration, and container fundamentals. You’ll also understand how Docker integrates into Spring Boot development. The second module guides you through building effici
All levels